<?xml version="1.0" encoding="UTF-8"?><rss
version="2.0"	xmlns:content="http://purl.org/rss/1.0/modules/content/"	xmlns:wfw="http://wellformedweb.org/CommentAPI/"	xmlns:dc="http://purl.org/dc/elements/1.1/"	xmlns:atom="http://www.w3.org/2005/Atom"	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"	xmlns:slash="http://purl.org/rss/1.0/modules/slash/">	<channel><title>Laimoon.com</title><link>https://courses.laimoon.com/sitemap/rss</link>	    <description>Courses in Dubai, Abu Dhabi, Sharjah Diplomas, Degrees &amp; Doctorates - Laimoon Course Guide</description>	    <language>en-us</language>	    	    	    						<item><title><![CDATA[Lean Six Sigma Green Belt & Black Belt  - Ascendia Holding , Online, United Arab Emirates, Dubai, Oman, Qatar, Bahrain, Saudi Arabia, Kuwait ]]></title><link>https://courses.laimoon.com/course/part-time-lean-six-sigma-green-belt-&-black-belt-ascendia-holding/online</link>				  <description>				  <![CDATA[<h3 class="" data-start="216" data-end="266"><strong
data-start="220" data-end="266">Course Outline &ndash; Lean Six Sigma Black Belt</strong></h3><h4 class="" data-start="268" data-end="284"><strong
data-start="273" data-end="282">Day 1</strong></h4><ul
data-start="285" data-end="417"><li
class="" data-start="285" data-end="308"><p
class="" data-start="287" data-end="308">Course Introduction</p></li><li
class="" data-start="309" data-end="343"><p
class="" data-start="311" data-end="343">Introduction to Lean Six Sigma</p></li><li
class="" data-start="344" data-end="374"><p
class="" data-start="346" data-end="374">Enterprise-wide deployment</p></li><li
class="" data-start="375" data-end="417"><p
class="" data-start="377" data-end="417">DEFINE Phase: Intro &amp; CTQ identification</p></li></ul><h4 class="" data-start="419" data-end="435"><strong
data-start="424" data-end="433">Day 2</strong></h4><ul
data-start="436" data-end="602"><li
class="" data-start="436" data-end="497"><p
class="" data-start="438" data-end="497">DEFINE Phase: Project selection, charter, process mapping</p></li><li
class="" data-start="498" data-end="560"><p
class="" data-start="500" data-end="560">MEASURE Phase: Intro, finalize CTQs, performance standards</p></li><li
class="" data-start="561" data-end="602"><p
class="" data-start="563" data-end="602">MSA: Attribute Agreement Analysis (AAA)</p></li></ul><h4 class="" data-start="604" data-end="620"><strong
data-start="609" data-end="618">Day 3</strong></h4><ul
data-start="621" data-end="725"><li
class="" data-start="621" data-end="666"><p
class="" data-start="623" data-end="666">MSA: Gage R&amp;R, Bias, Linearity, Stability</p></li><li
class="" data-start="667" data-end="725"><p
class="" data-start="669" data-end="725">Process stability &amp; capability (Continuous &amp; Discrete Y)</p></li></ul><h4 class="" data-start="727" data-end="743"><strong
data-start="732" data-end="741">Day 4</strong></h4><ul
data-start="744" data-end="823"><li
class="" data-start="744" data-end="794"><p
class="" data-start="746" data-end="794">ANALYZE Phase: Potential causes, data analysis</p></li><li
class="" data-start="795" data-end="823"><p
class="" data-start="797" data-end="823">Hypothesis testing (start)</p></li></ul><h4 class="" data-start="825" data-end="841"><strong
data-start="830" data-end="839">Day 5</strong></h4><ul
data-start="842" data-end="967"><li
class="" data-start="842" data-end="879"><p
class="" data-start="844" data-end="879">ANALYZE Phase: Regression, 5 Whys</p></li><li
class="" data-start="880" data-end="925"><p
class="" data-start="882" data-end="925">IMPROVE Phase: Intro, solution generation</p></li><li
class="" data-start="926" data-end="967"><p
class="" data-start="928" data-end="967">DoE: Full &amp; Fractional Factorial Design</p></li></ul><h4 class="" data-start="969" data-end="985"><strong
data-start="974" data-end="983">Day 6</strong></h4><ul
data-start="986" data-end="1108"><li
class="" data-start="986" data-end="1023"><p
class="" data-start="988" data-end="1023">IMPROVE Phase: Pilot &amp; validation</p></li><li
class="" data-start="1024" data-end="1085"><p
class="" data-start="1026" data-end="1085">CONTROL Phase: Control systems, validation, documentation</p></li><li
class="" data-start="1086" data-end="1108"><p
class="" data-start="1088" data-end="1108">Course Review &amp; Exam</p></li></ul><p>Cost: 3500 AED</p><p>Duration: 64 Hours</p>					]]>				  </description>				  <pubDate>Sat, 03 May 2025 21:15:57 +04</pubDate>				</item> 								<item><title><![CDATA[Lean Six Sigma Green Belt & Black Belt  - Ascendia Holding , Online, United Arab Emirates, Dubai, Oman, Qatar, Bahrain, Saudi Arabia, Kuwait ]]></title><link>https://courses.laimoon.com/course/part-time-lean-six-sigma-green-belt-&-black-belt-ascendia-holding-1/online</link>				  <description>				  <![CDATA[<h3 class="" data-start="227" data-end="247"><strong
data-start="231" data-end="247">DEFINE Phase</strong></h3><p
class="" data-start="249" data-end="295"><strong
data-start="249" data-end="272">Learning Objectives</strong><br
data-start="272" data-end="275"><strong
data-start="275" data-end="295">Key Deliverables</strong></p><ul
data-start="297" data-end="785"><li
class="" data-start="297" data-end="438"><p
class="" data-start="299" data-end="326"><strong
data-start="299" data-end="324">Voice of the Customer</strong></p><ul
data-start="329" data-end="438"><li
class="" data-start="329" data-end="356"><p
class="" data-start="331" data-end="356">Customer Identification</p></li><li
class="" data-start="359" data-end="401"><p
class="" data-start="361" data-end="401">Identify Internal &amp; External customers</p></li><li
class="" data-start="404" data-end="438"><p
class="" data-start="406" data-end="438">Project impact on stakeholders</p></li></ul></li><li
class="" data-start="440" data-end="502"><p
class="" data-start="442" data-end="472"><strong
data-start="442" data-end="470">Customer Data Collection</strong></p><ul
data-start="475" data-end="502"><li
class="" data-start="475" data-end="502"><p
class="" data-start="477" data-end="502">Data Collection Methods</p></li></ul></li><li
class="" data-start="504" data-end="653"><p
class="" data-start="506" data-end="533"><strong
data-start="506" data-end="531">Customer Requirements</strong></p><ul
data-start="536" data-end="653"><li
class="" data-start="536" data-end="559"><p
class="" data-start="538" data-end="559">Critical-to-X (CTX)</p></li><li
class="" data-start="562" data-end="596"><p
class="" data-start="564" data-end="596">Critical-to-Quality (CTQ) Tree</p></li><li
class="" data-start="599" data-end="636"><p
class="" data-start="601" data-end="636">Quality Function Deployment (QFD)</p></li><li
class="" data-start="639" data-end="653"><p
class="" data-start="641" data-end="653">KANO Model</p></li></ul></li><li
class="" data-start="655" data-end="785"><p
class="" data-start="657" data-end="694"><strong
data-start="657" data-end="692">Business Case &amp; Project Charter</strong></p><ul
data-start="697" data-end="785"><li
class="" data-start="697" data-end="716"><p
class="" data-start="699" data-end="716">Project Charter</p></li><li
class="" data-start="719" data-end="736"><p
class="" data-start="721" data-end="736">Business Case</p></li><li
class="" data-start="739" data-end="760"><p
class="" data-start="741" data-end="760">Problem Statement</p></li><li
class="" data-start="763" data-end="785"><p
class="" data-start="765" data-end="785">Goals &amp; Objectives</p></li></ul></li></ul><p
class="" data-start="787" data-end="836"><strong
data-start="787" data-end="834">Business Case &amp; Project Charter (continued)</strong></p><ul
data-start="837" data-end="956"><li
class="" data-start="837" data-end="892"><p
class="" data-start="839" data-end="892">Project Charter (Continued from the previous slide)</p></li><li
class="" data-start="893" data-end="929"><p
class="" data-start="895" data-end="929">Project Performance Requirements</p></li><li
class="" data-start="930" data-end="956"><p
class="" data-start="932" data-end="956">Project Charter Review</p></li></ul><p
class="" data-start="958" data-end="988"><strong
data-start="958" data-end="986">Project Management Tools</strong></p><ul
data-start="989" data-end="1025"><li
class="" data-start="989" data-end="1004"><p
class="" data-start="991" data-end="1004">GANTT Chart</p></li><li
class="" data-start="1005" data-end="1025"><p
class="" data-start="1007" data-end="1025">Toll-gate Review</p></li></ul><p
class="" data-start="1027" data-end="1049"><strong
data-start="1027" data-end="1047">Analytical Tools</strong></p><ul
data-start="1050" data-end="1085"><li
class="" data-start="1050" data-end="1070"><p
class="" data-start="1052" data-end="1070">Affinity Diagram</p></li><li
class="" data-start="1071" data-end="1085"><p
class="" data-start="1073" data-end="1085">Tree Diagram</p></li></ul><hr
class="" data-start="1087" data-end="1090"><h3 class="" data-start="1092" data-end="1113"><strong
data-start="1096" data-end="1113">MEASURE Phase</strong></h3><p
class="" data-start="1115" data-end="1136"><strong
data-start="1115" data-end="1134">Data Collection</strong></p><ul
data-start="1137" data-end="1227"><li
class="" data-start="1137" data-end="1185"><p
class="" data-start="1139" data-end="1185">Sampling (Continued from the previous slide)</p></li><li
class="" data-start="1186" data-end="1209"><p
class="" data-start="1188" data-end="1209">Methods of Sampling</p></li><li
class="" data-start="1210" data-end="1227"><p
class="" data-start="1212" data-end="1227">Illustrations</p></li></ul><p
class="" data-start="1229" data-end="1262"><strong
data-start="1229" data-end="1260">Measurement System Analysis</strong></p><ul
data-start="1263" data-end="1418"><li
class="" data-start="1263" data-end="1339"><p
class="" data-start="1265" data-end="1290">Continuous Measurements</p><ul
data-start="1293" data-end="1339"><li
class="" data-start="1293" data-end="1315"><p
class="" data-start="1295" data-end="1315">Gage R&amp;R (Crossed)</p></li><li
class="" data-start="1318" data-end="1339"><p
class="" data-start="1320" data-end="1339">Gage R&amp;R (Nested)</p></li></ul></li><li
class="" data-start="1340" data-end="1418"><p
class="" data-start="1342" data-end="1418">Applicability of Measurement Systems to different organizational functions</p></li></ul><p
class="" data-start="1420" data-end="1436"><strong
data-start="1420" data-end="1434">Statistics</strong></p><ul
data-start="1437" data-end="1499"><li
class="" data-start="1437" data-end="1462"><p
class="" data-start="1439" data-end="1462">Central Limit Theorem</p></li><li
class="" data-start="1463" data-end="1478"><p
class="" data-start="1465" data-end="1478">Probability</p></li><li
class="" data-start="1479" data-end="1499"><p
class="" data-start="1481" data-end="1499">Terms &amp; Concepts</p></li></ul><p
class="" data-start="1501" data-end="1530"><strong
data-start="1501" data-end="1528">Probability (Continued)</strong></p><ul
data-start="1531" data-end="1616"><li
class="" data-start="1531" data-end="1616"><p
class="" data-start="1533" data-end="1561">Probability Distributions:</p><ul
data-start="1564" data-end="1616"><li
class="" data-start="1564" data-end="1588"><p
class="" data-start="1566" data-end="1588">Poisson Distribution</p></li><li
class="" data-start="1591" data-end="1616"><p
class="" data-start="1593" data-end="1616">Binomial Distribution</p></li></ul></li></ul><p
class="" data-start="1618" data-end="1650"><strong
data-start="1618" data-end="1648">Process Capability Studies</strong></p><ul
data-start="1651" data-end="1728"><li
class="" data-start="1651" data-end="1728"><p
class="" data-start="1653" data-end="1681">Process Capability Indices</p><ul
data-start="1684" data-end="1728"><li
class="" data-start="1684" data-end="1694"><p
class="" data-start="1686" data-end="1694">Basics</p></li><li
class="" data-start="1697" data-end="1711"><p
class="" data-start="1699" data-end="1711">Cp and Cpk</p></li><li
class="" data-start="1714" data-end="1728"><p
class="" data-start="1716" data-end="1728">Pp and Ppk</p></li></ul></li></ul><p
class="" data-start="1730" data-end="1773"><strong
data-start="1730" data-end="1771">Process Capability for Attribute Data</strong></p><ul
data-start="1774" data-end="1818"><li
class="" data-start="1774" data-end="1797"><p
class="" data-start="1776" data-end="1797">Binomial Capability</p></li><li
class="" data-start="1798" data-end="1818"><p
class="" data-start="1800" data-end="1818">Poisson Capability</p></li></ul><hr
class="" data-start="1820" data-end="1823"><h3 class="" data-start="1825" data-end="1846"><strong
data-start="1829" data-end="1846">ANALYZE Phase</strong></h3><p
class="" data-start="1848" data-end="1894"><strong
data-start="1848" data-end="1871">Learning Objectives</strong><br
data-start="1871" data-end="1874"><strong
data-start="1874" data-end="1894">Key Deliverables</strong></p><p
class="" data-start="1896" data-end="1954"><strong
data-start="1896" data-end="1952">Measuring &amp; Modeling Relationships Between Variables</strong></p><ul
data-start="1955" data-end="2223"><li
class="" data-start="1955" data-end="2053"><p
class="" data-start="1957" data-end="1982">Correlation Coefficient</p><ul
data-start="1985" data-end="2053"><li
class="" data-start="1985" data-end="2009"><p
class="" data-start="1987" data-end="2009">Background &amp; Meaning</p></li><li
class="" data-start="2012" data-end="2032"><p
class="" data-start="2014" data-end="2032">MINITAB Analysis</p></li><li
class="" data-start="2035" data-end="2053"><p
class="" data-start="2037" data-end="2053">Interpretation</p></li></ul></li><li
class="" data-start="2054" data-end="2223"><p
class="" data-start="2056" data-end="2075">Linear Regression</p><ul
data-start="2078" data-end="2223"><li
class="" data-start="2078" data-end="2102"><p
class="" data-start="2080" data-end="2102">Background &amp; Meaning</p></li><li
class="" data-start="2105" data-end="2128"><p
class="" data-start="2107" data-end="2128">Regression Equation</p></li><li
class="" data-start="2131" data-end="2166"><p
class="" data-start="2133" data-end="2166">P-value, S, R&sup2;, and adjusted R&sup2;</p></li><li
class="" data-start="2169" data-end="2184"><p
class="" data-start="2171" data-end="2184">ANOVA Table</p></li><li
class="" data-start="2187" data-end="2207"><p
class="" data-start="2189" data-end="2207">Predicted Values</p></li><li
class="" data-start="2210" data-end="2223"><p
class="" data-start="2212" data-end="2223">Residuals</p></li></ul></li></ul><p
class="" data-start="2225" data-end="2249"><strong
data-start="2225" data-end="2247">Hypothesis Testing</strong></p><ul
data-start="2250" data-end="2423"><li
class="" data-start="2250" data-end="2295"><p
class="" data-start="2252" data-end="2295">Terminology (Definition &amp; Interpretation)</p></li><li
class="" data-start="2296" data-end="2338"><p
class="" data-start="2298" data-end="2338">Statistical Vs. Practical Significance</p></li><li
class="" data-start="2339" data-end="2362"><p
class="" data-start="2341" data-end="2362">Power &amp; Sample Size</p></li><li
class="" data-start="2363" data-end="2390"><p
class="" data-start="2365" data-end="2390">1-Sample Z &amp; 1-Sample t</p></li><li
class="" data-start="2391" data-end="2423"><p
class="" data-start="2393" data-end="2423">1 Proportion &amp; 2 Proportions</p></li></ul><p
class="" data-start="2425" data-end="2473"><strong
data-start="2425" data-end="2471">Test for Means, Variances, and Proportions</strong></p><ul
data-start="2474" data-end="2525"><li
class="" data-start="2474" data-end="2499"><p
class="" data-start="2476" data-end="2499">2-Sample t &amp; Paired t</p></li><li
class="" data-start="2500" data-end="2525"><p
class="" data-start="2502" data-end="2525">1-Sample Poisson Rate</p></li></ul><p
class="" data-start="2527" data-end="2561"><strong
data-start="2527" data-end="2559">Analysis of Variance (ANOVA)</strong></p><ul
data-start="2562" data-end="2573"><li
class="" data-start="2562" data-end="2573"><p
class="" data-start="2564" data-end="2573">One-Way</p></li></ul><p
class="" data-start="2575" data-end="2602"><strong
data-start="2575" data-end="2600">Goodness-of-Fit tests</strong></p><ul
data-start="2603" data-end="2634"><li
class="" data-start="2603" data-end="2634"><p
class="" data-start="2605" data-end="2634">Goodness-of-Fit for Poisson</p></li></ul><p
class="" data-start="2636" data-end="2673"><strong
data-start="2636" data-end="2671">Hypothesis Testing (Continued&hellip;)</strong></p><ul
data-start="2674" data-end="2743"><li
class="" data-start="2674" data-end="2696"><p
class="" data-start="2676" data-end="2696">Contingency Tables</p></li><li
class="" data-start="2697" data-end="2743"><p
class="" data-start="2699" data-end="2743">Chi-square and Tests of Contingency Tables</p></li></ul><p
class="" data-start="2745" data-end="2770"><strong
data-start="2745" data-end="2768">Nonparametric Tests</strong></p><ul
data-start="2771" data-end="2806"><li
class="" data-start="2771" data-end="2789"><p
class="" data-start="2773" data-end="2789">Kruskal-Wallis</p></li><li
class="" data-start="2790" data-end="2806"><p
class="" data-start="2792" data-end="2806">Mann-Whitney</p></li></ul><p
class="" data-start="2808" data-end="2841"><strong
data-start="2808" data-end="2839">Additional Analysis Methods</strong></p><ul
data-start="2842" data-end="2994"><li
class="" data-start="2842" data-end="2858"><p
class="" data-start="2844" data-end="2858">Gap Analysis</p></li><li
class="" data-start="2859" data-end="2909"><p
class="" data-start="2861" data-end="2888">Root Cause Analysis (RCA)</p><ul
data-start="2891" data-end="2909"><li
class="" data-start="2891" data-end="2909"><p
class="" data-start="2893" data-end="2909">Purpose of RCA</p></li></ul></li><li
class="" data-start="2910" data-end="2939"><p
class="" data-start="2912" data-end="2939">Fault-tree Analysis (FTA)</p></li><li
class="" data-start="2940" data-end="2994"><p
class="" data-start="2942" data-end="2994">Corrective Action-Preventive Action (CAPA) mechanism</p></li></ul><hr
class="" data-start="2996" data-end="2999"><h3 class="" data-start="3001" data-end="3022"><strong
data-start="3005" data-end="3022">IMPROVE Phase</strong></h3><p
class="" data-start="3024" data-end="3070"><strong
data-start="3024" data-end="3047">Learning Objectives</strong><br
data-start="3047" data-end="3050"><strong
data-start="3050" data-end="3070">Key Deliverables</strong></p><p
class="" data-start="3072" data-end="3099"><strong
data-start="3072" data-end="3097">Design of Experiments</strong></p><ul
data-start="3100" data-end="3162"><li
class="" data-start="3100" data-end="3115"><p
class="" data-start="3102" data-end="3115">Terminology</p></li><li
class="" data-start="3116" data-end="3137"><p
class="" data-start="3118" data-end="3137">Design Principles</p></li><li
class="" data-start="3138" data-end="3162"><p
class="" data-start="3140" data-end="3162">Planning Experiments</p></li></ul><p
class="" data-start="3164" data-end="3182"><strong
data-start="3164" data-end="3180">LEAN Methods</strong></p><ul
data-start="3183" data-end="3296"><li
class="" data-start="3183" data-end="3189"><p
class="" data-start="3185" data-end="3189">5S</p></li><li
class="" data-start="3190" data-end="3222"><p
class="" data-start="3192" data-end="3222">Poka-Yoke / Mistake-Proofing</p></li><li
class="" data-start="3223" data-end="3233"><p
class="" data-start="3225" data-end="3233">KANBAN</p></li><li
class="" data-start="3234" data-end="3265"><p
class="" data-start="3236" data-end="3265">Push-Pull System / Strategy</p></li><li
class="" data-start="3266" data-end="3287"><p
class="" data-start="3268" data-end="3287">Standardized Work</p></li><li
class="" data-start="3288" data-end="3296"><p
class="" data-start="3290" data-end="3296">JIDOKA</p></li></ul><hr
class="" data-start="3298" data-end="3301"><h3 class="" data-start="3303" data-end="3324"><strong
data-start="3307" data-end="3324">CONTROL Phase</strong></h3><p
class="" data-start="3326" data-end="3372"><strong
data-start="3326" data-end="3349">Learning Objectives</strong><br
data-start="3349" data-end="3352"><strong
data-start="3352" data-end="3372">Key Deliverables</strong></p><p
class="" data-start="3374" data-end="3413"><strong
data-start="3374" data-end="3411">Statistical Process Control (SPC)</strong></p><ul
data-start="3414" data-end="3587"><li
class="" data-start="3414" data-end="3435"><p
class="" data-start="3416" data-end="3435">Objectives of SPC</p></li><li
class="" data-start="3436" data-end="3491"><p
class="" data-start="3438" data-end="3491">Selection of variables for Control Chart monitoring</p></li><li
class="" data-start="3492" data-end="3534"><p
class="" data-start="3494" data-end="3534">The principle of Rational Sub-grouping</p></li><li
class="" data-start="3535" data-end="3562"><p
class="" data-start="3537" data-end="3562">Control Chart Selection</p></li><li
class="" data-start="3563" data-end="3587"><p
class="" data-start="3565" data-end="3587">Decision-Making Tree</p></li></ul><p
class="" data-start="3589" data-end="3629"><strong
data-start="3589" data-end="3627">Control Chart for Continuous Data:</strong></p><ul
data-start="3630" data-end="3669"><li
class="" data-start="3630" data-end="3649"><p
class="" data-start="3632" data-end="3649">X-bar &amp; R-chart</p></li><li
class="" data-start="3650" data-end="3669"><p
class="" data-start="3652" data-end="3669">X-bar &amp; S-chart</p></li></ul><p
class="" data-start="3671" data-end="3708"><strong
data-start="3671" data-end="3706">Control Chart for Discrete Data</strong></p><ul
data-start="3709" data-end="3808"><li
class="" data-start="3709" data-end="3742"><p
class="" data-start="3711" data-end="3742">c-Chart (Number of Incidents)</p></li><li
class="" data-start="3743" data-end="3774"><p
class="" data-start="3745" data-end="3774">p-chart (Percent defective)</p></li><li
class="" data-start="3775" data-end="3808"><p
class="" data-start="3777" data-end="3808">np-Chart (Number of Defectives)</p></li></ul><p>Cost: 3500 AED</p><p>Duration: 64 Hours</p>					]]>				  </description>				  <pubDate>Sat, 03 May 2025 19:40:43 +04</pubDate>				</item> 								<item><title><![CDATA[Lean Six Sigma Black Belt Certification  - Ascendia Holding , Online, United Arab Emirates, Dubai, Oman, Qatar, Bahrain, Saudi Arabia, Kuwait ]]></title><link>https://courses.laimoon.com/course/lean-six-sigma-black-belt-certification-ascendia-holding/online</link>				  <description>				  <![CDATA[<h3 class="" data-start="258" data-end="276"><strong
data-start="262" data-end="274">Overview</strong></h3><p
class="" data-start="277" data-end="487">For those who are serious about leading transformation, the Black Belt is the gold standard. You'll master complex project management, mentor Green Belts, and play a key role in shaping organizational strategy.</p><hr
class="" data-start="489" data-end="492"><h3 class="" data-start="494" data-end="517"><strong
data-start="498" data-end="515">Market Trends</strong></h3><p
class="" data-start="518" data-end="693">Businesses around the world are investing heavily in Operational Excellence functions &mdash; and Black Belt-certified leaders are highly sought after to lead these transformations.</p><hr
class="" data-start="695" data-end="698"><h3 class="" data-start="700" data-end="723"><strong
data-start="704" data-end="721">Salary Trends</strong></h3><p
class="" data-start="724" data-end="860">Black Belt holders often see a 20&ndash;30% salary increase and open doors to senior leadership roles in operations, strategy, and consulting.</p><hr
class="" data-start="862" data-end="865"><h3 class="" data-start="867" data-end="901"><strong
data-start="871" data-end="899">Demand and Opportunities</strong></h3><p
class="" data-start="902" data-end="1067">Massive. Especially in sectors like manufacturing, pharmaceuticals, banking, energy, government, and tech &mdash; where sustainable growth and operational agility are key.</p><hr
class="" data-start="1069" data-end="1072"><h3 class="" data-start="1074" data-end="1146"><strong
data-start="1078" data-end="1144">Project Planning &amp; Control @ LEAN Six Sigma Black Belt (Day 1)</strong></h3><ul
data-start="1147" data-end="1422"><li
class="" data-start="1147" data-end="1190"><p
class="" data-start="1149" data-end="1190">Organization-wide Planning &amp; Deployment</p></li><li
class="" data-start="1191" data-end="1227"><p
class="" data-start="1193" data-end="1227">Fundamentals of Six Sigma &amp; LEAN</p></li><li
class="" data-start="1228" data-end="1291"><p
class="" data-start="1230" data-end="1291">Six Sigma, LEAN &amp; Continuous Improvement (CI) methodologies</p></li><li
class="" data-start="1292" data-end="1317"><p
class="" data-start="1294" data-end="1317">When to use Six Sigma</p></li><li
class="" data-start="1318" data-end="1377"><p
class="" data-start="1320" data-end="1377">Aligning Six Sigma objectives with organizational goals</p></li><li
class="" data-start="1378" data-end="1422"><p
class="" data-start="1380" data-end="1422">Evaluation criteria for Six Sigma projects</p></li></ul><hr
class="" data-start="1424" data-end="1427"><h3 class="" data-start="1429" data-end="1486"><strong
data-start="1433" data-end="1484">Strategic Planning &amp; Deployment for Initiatives</strong></h3><ul
data-start="1487" data-end="1538"><li
class="" data-start="1487" data-end="1523"><p
class="" data-start="1489" data-end="1523">Importance of Strategic Planning</p></li><li
class="" data-start="1524" data-end="1538"><p
class="" data-start="1526" data-end="1538">Hoshin Kanri</p></li></ul><hr
class="" data-start="1540" data-end="1543"><h3 class="" data-start="1545" data-end="1567"><strong
data-start="1549" data-end="1565">Process Flow</strong></h3><ul
data-start="1568" data-end="1581"><li
class="" data-start="1568" data-end="1581"><p
class="" data-start="1570" data-end="1581">Four Phases</p></li></ul><hr
class="" data-start="1583" data-end="1586"><h3 class="" data-start="1588" data-end="1635"><strong
data-start="1592" data-end="1633">Leadership &ndash; Roles &amp; Responsibilities</strong></h3><ul
data-start="1636" data-end="1718"><li
class="" data-start="1636" data-end="1682"><p
class="" data-start="1638" data-end="1682">Roles &amp; Responsibilities of Six Sigma team</p></li><li
class="" data-start="1683" data-end="1718"><p
class="" data-start="1685" data-end="1718">Role of LSSBB certified personnel</p></li></ul><hr
class="" data-start="1720" data-end="1723"><h3 class="" data-start="1725" data-end="1780"><strong
data-start="1729" data-end="1778">Organizational Roadblocks &amp; Change Management</strong></h3><ul
data-start="1781" data-end="1908"><li
class="" data-start="1781" data-end="1821"><p
class="" data-start="1783" data-end="1821">Factors impacting Six Sigma projects</p></li><li
class="" data-start="1822" data-end="1864"><p
class="" data-start="1824" data-end="1864">Common causes for failure of Six Sigma</p></li><li
class="" data-start="1865" data-end="1908"><p
class="" data-start="1867" data-end="1908">Organizational Readiness Assessment (ORA)</p></li></ul><hr
class="" data-start="1910" data-end="1913"><h3 class="" data-start="1915" data-end="1969"><strong
data-start="1919" data-end="1967">Organizational Process Management &amp; Measures</strong></h3><ul
data-start="1970" data-end="2000"><li
class="" data-start="1970" data-end="2000"><p
class="" data-start="1972" data-end="2000">Impact of Six Sigma projects</p></li></ul><hr
class="" data-start="2002" data-end="2005"><h3 class="" data-start="2007" data-end="2037"><strong
data-start="2011" data-end="2035">Performance Measures</strong></h3><ul
data-start="2038" data-end="2106"><li
class="" data-start="2038" data-end="2060"><p
class="" data-start="2040" data-end="2060">Balanced Scorecard</p></li><li
class="" data-start="2061" data-end="2106"><p
class="" data-start="2063" data-end="2106">Key Performance Indicators (KPIs) &amp; Metrics</p></li></ul><hr
class="" data-start="2108" data-end="2111"><h3 class="" data-start="2113" data-end="2141"><strong
data-start="2117" data-end="2139">Financial Measures</strong></h3><ul
data-start="2142" data-end="2244"><li
class="" data-start="2142" data-end="2172"><p
class="" data-start="2144" data-end="2172">Return-on-Investment (ROI)</p></li><li
class="" data-start="2173" data-end="2204"><p
class="" data-start="2175" data-end="2204">Cost-Benefit Analysis (CBA)</p></li><li
class="" data-start="2205" data-end="2244"><p
class="" data-start="2207" data-end="2244">Hard Cost, Soft Cost &amp; Cost Avoidance</p></li></ul><hr
class="" data-start="2246" data-end="2249"><h3 class="" data-start="2251" data-end="2291"><strong
data-start="2255" data-end="2289">DEFINE Phase (Day 2 and Day 3)</strong></h3><p
class="" data-start="2293" data-end="2315"><strong
data-start="2293" data-end="2313">Key Deliverables</strong></p><ul
data-start="2316" data-end="2996"><li
class="" data-start="2316" data-end="2457"><p
class="" data-start="2318" data-end="2345"><strong
data-start="2318" data-end="2343">Voice of the Customer</strong></p><ul
data-start="2348" data-end="2457"><li
class="" data-start="2348" data-end="2375"><p
class="" data-start="2350" data-end="2375">Customer Identification</p></li><li
class="" data-start="2378" data-end="2420"><p
class="" data-start="2380" data-end="2420">Identify Internal &amp; External customers</p></li><li
class="" data-start="2423" data-end="2457"><p
class="" data-start="2425" data-end="2457">Project impact on stakeholders</p></li></ul></li><li
class="" data-start="2458" data-end="2521"><p
class="" data-start="2460" data-end="2490"><strong
data-start="2460" data-end="2488">Customer Data Collection</strong></p><ul
data-start="2493" data-end="2521"><li
class="" data-start="2493" data-end="2521"><p
class="" data-start="2495" data-end="2521">Data Collections methods</p></li></ul></li><li
class="" data-start="2522" data-end="2614"><p
class="" data-start="2524" data-end="2551"><strong
data-start="2524" data-end="2549">Customer Requirements</strong></p><ul
data-start="2554" data-end="2614"><li
class="" data-start="2554" data-end="2577"><p
class="" data-start="2556" data-end="2577">Critical-to-X (CTX)</p></li><li
class="" data-start="2580" data-end="2614"><p
class="" data-start="2582" data-end="2614">Critical-to-Quality (CTQ) Tree</p></li></ul></li><li
class="" data-start="2615" data-end="2813"><p
class="" data-start="2617" data-end="2654"><strong
data-start="2617" data-end="2652">Business Case &amp; Project Charter</strong></p><ul
data-start="2657" data-end="2813"><li
class="" data-start="2657" data-end="2676"><p
class="" data-start="2659" data-end="2676">Project Charter</p></li><li
class="" data-start="2679" data-end="2696"><p
class="" data-start="2681" data-end="2696">Business Case</p></li><li
class="" data-start="2699" data-end="2720"><p
class="" data-start="2701" data-end="2720">Problem Statement</p></li><li
class="" data-start="2723" data-end="2745"><p
class="" data-start="2725" data-end="2745">Goals &amp; Objectives</p></li><li
class="" data-start="2748" data-end="2784"><p
class="" data-start="2750" data-end="2784">Project Performance Requirements</p></li><li
class="" data-start="2787" data-end="2813"><p
class="" data-start="2789" data-end="2813">Project Charter Review</p></li></ul></li><li
class="" data-start="2814" data-end="2901"><p
class="" data-start="2816" data-end="2846"><strong
data-start="2816" data-end="2844">Project Management Tools</strong></p><ul
data-start="2849" data-end="2901"><li
class="" data-start="2849" data-end="2864"><p
class="" data-start="2851" data-end="2864">GANTT Chart</p></li><li
class="" data-start="2867" data-end="2901"><p
class="" data-start="2869" data-end="2901">Work-breakdown Structure (WBS)</p></li></ul></li><li
class="" data-start="2902" data-end="2996"><p
class="" data-start="2904" data-end="2926"><strong
data-start="2904" data-end="2924">Analytical Tools</strong></p><ul
data-start="2929" data-end="2996"><li
class="" data-start="2929" data-end="2949"><p
class="" data-start="2931" data-end="2949">Affinity Diagram</p></li><li
class="" data-start="2952" data-end="2968"><p
class="" data-start="2954" data-end="2968">Tree Diagram</p></li><li
class="" data-start="2971" data-end="2996"><p
class="" data-start="2973" data-end="2996">Interrelationship Graph</p></li></ul></li></ul><hr
class="" data-start="2998" data-end="3001"><h3 class="" data-start="3003" data-end="3044"><strong
data-start="3007" data-end="3042">MEASURE Phase (Day 3 and Day 4)</strong></h3><p
class="" data-start="3046" data-end="3068"><strong
data-start="3046" data-end="3066">Key Deliverables</strong></p><ul
data-start="3069" data-end="3988"><li
class="" data-start="3069" data-end="3161"><p
class="" data-start="3071" data-end="3100"><strong
data-start="3071" data-end="3098">Primary Project Metrics</strong></p><ul
data-start="3103" data-end="3161"><li
class="" data-start="3103" data-end="3116"><p
class="" data-start="3105" data-end="3116">LEAD Time</p></li><li
class="" data-start="3119" data-end="3133"><p
class="" data-start="3121" data-end="3133">Cycle Time</p></li><li
class="" data-start="3136" data-end="3161"><p
class="" data-start="3138" data-end="3161">Turnaround Time (TAT)</p></li></ul></li><li
class="" data-start="3162" data-end="3242"><p
class="" data-start="3164" data-end="3192"><strong
data-start="3164" data-end="3190">Process Analysis Tools</strong></p><ul
data-start="3195" data-end="3242"><li
class="" data-start="3195" data-end="3225"><p
class="" data-start="3197" data-end="3225">Value Stream Mapping (VSM)</p></li><li
class="" data-start="3228" data-end="3242"><p
class="" data-start="3230" data-end="3242">GEMBA Walk</p></li></ul></li><li
class="" data-start="3243" data-end="3331"><p
class="" data-start="3245" data-end="3266"><strong
data-start="3245" data-end="3264">Data Collection</strong></p><ul
data-start="3269" data-end="3331"><li
class="" data-start="3269" data-end="3331"><p
class="" data-start="3271" data-end="3281">Sampling</p><ul
data-start="3286" data-end="3331"><li
class="" data-start="3286" data-end="3309"><p
class="" data-start="3288" data-end="3309">Methods of Sampling</p></li><li
class="" data-start="3314" data-end="3331"><p
class="" data-start="3316" data-end="3331">Illustrations</p></li></ul></li></ul></li><li
class="" data-start="3332" data-end="3529"><p
class="" data-start="3334" data-end="3367"><strong
data-start="3334" data-end="3365">Measurement System Analysis</strong></p><ul
data-start="3370" data-end="3529"><li
class="" data-start="3370" data-end="3473"><p
class="" data-start="3372" data-end="3397">Continuous Measurements</p><ul
data-start="3402" data-end="3473"><li
class="" data-start="3402" data-end="3424"><p
class="" data-start="3404" data-end="3424">Gage R&amp;R (Crossed)</p></li><li
class="" data-start="3429" data-end="3450"><p
class="" data-start="3431" data-end="3450">Gage R&amp;R (Nested)</p></li><li
class="" data-start="3455" data-end="3473"><p
class="" data-start="3457" data-end="3473">Gage Run Chart</p></li></ul></li><li
class="" data-start="3476" data-end="3529"><p
class="" data-start="3478" data-end="3502">Attribute Measurements</p><ul
data-start="3507" data-end="3529"><li
class="" data-start="3507" data-end="3529"><p
class="" data-start="3509" data-end="3529">Attribute Gage R&amp;R</p></li></ul></li></ul></li><li
class="" data-start="3530" data-end="3617"><p
class="" data-start="3532" data-end="3548"><strong
data-start="3532" data-end="3546">Statistics</strong></p><ul
data-start="3551" data-end="3617"><li
class="" data-start="3551" data-end="3576"><p
class="" data-start="3553" data-end="3576">Central Limit Theorem</p></li><li
class="" data-start="3579" data-end="3594"><p
class="" data-start="3581" data-end="3594">Probability</p></li><li
class="" data-start="3597" data-end="3617"><p
class="" data-start="3599" data-end="3617">Terms &amp; Concepts</p></li></ul></li><li
class="" data-start="3618" data-end="3733"><p
class="" data-start="3620" data-end="3651"><strong
data-start="3620" data-end="3649">Probability Distributions</strong></p><ul
data-start="3654" data-end="3733"><li
class="" data-start="3654" data-end="3678"><p
class="" data-start="3656" data-end="3678">Poisson Distribution</p></li><li
class="" data-start="3681" data-end="3706"><p
class="" data-start="3683" data-end="3706">Binomial Distribution</p></li><li
class="" data-start="3709" data-end="3733"><p
class="" data-start="3711" data-end="3733">Weibull Distribution</p></li></ul></li><li
class="" data-start="3734" data-end="3893"><p
class="" data-start="3736" data-end="3768"><strong
data-start="3736" data-end="3766">Process Capability Studies</strong></p><ul
data-start="3771" data-end="3893"><li
class="" data-start="3771" data-end="3893"><p
class="" data-start="3773" data-end="3801">Process Capability Indices</p><ul
data-start="3806" data-end="3893"><li
class="" data-start="3806" data-end="3816"><p
class="" data-start="3808" data-end="3816">Basics</p></li><li
class="" data-start="3821" data-end="3835"><p
class="" data-start="3823" data-end="3835">Cp and Cpk</p></li><li
class="" data-start="3840" data-end="3854"><p
class="" data-start="3842" data-end="3854">Pp and Ppk</p></li><li
class="" data-start="3859" data-end="3893"><p
class="" data-start="3861" data-end="3893">Cpm (Taguchi Capability Index)</p></li></ul></li></ul></li><li
class="" data-start="3894" data-end="3988"><p
class="" data-start="3896" data-end="3939"><strong
data-start="3896" data-end="3937">Process Capability for Attribute Data</strong></p><ul
data-start="3942" data-end="3988"><li
class="" data-start="3942" data-end="3965"><p
class="" data-start="3944" data-end="3965">Binomial Capability</p></li><li
class="" data-start="3968" data-end="3988"><p
class="" data-start="3970" data-end="3988">Poisson Capability</p></li></ul></li></ul><hr
class="" data-start="3990" data-end="3993"><h3 class="" data-start="3995" data-end="4034"><strong
data-start="3999" data-end="4032">ANALYZE Phase (Day 5 &amp; Day 6)</strong></h3><p
class="" data-start="4036" data-end="4058"><strong
data-start="4036" data-end="4056">Key Deliverables</strong></p><ul
data-start="4059" data-end="5049"><li
class="" data-start="4059" data-end="4226"><p
class="" data-start="4061" data-end="4119"><strong
data-start="4061" data-end="4117">Measuring &amp; Modeling Relationships Between Variables</strong></p><ul
data-start="4122" data-end="4226"><li
class="" data-start="4122" data-end="4226"><p
class="" data-start="4124" data-end="4149">Correlation Coefficient</p><ul
data-start="4154" data-end="4226"><li
class="" data-start="4154" data-end="4178"><p
class="" data-start="4156" data-end="4178">Background &amp; Meaning</p></li><li
class="" data-start="4183" data-end="4203"><p
class="" data-start="4185" data-end="4203">MINITAB Analysis</p></li><li
class="" data-start="4208" data-end="4226"><p
class="" data-start="4210" data-end="4226">Interpretation</p></li></ul></li></ul></li><li
class="" data-start="4227" data-end="4400"><p
class="" data-start="4229" data-end="4252"><strong
data-start="4229" data-end="4250">Linear Regression</strong></p><ul
data-start="4255" data-end="4400"><li
class="" data-start="4255" data-end="4279"><p
class="" data-start="4257" data-end="4279">Background &amp; Meaning</p></li><li
class="" data-start="4282" data-end="4305"><p
class="" data-start="4284" data-end="4305">Regression Equation</p></li><li
class="" data-start="4308" data-end="4343"><p
class="" data-start="4310" data-end="4343">P-value, S, R&sup2;, and adjusted R&sup2;</p></li><li
class="" data-start="4346" data-end="4361"><p
class="" data-start="4348" data-end="4361">ANOVA Table</p></li><li
class="" data-start="4364" data-end="4384"><p
class="" data-start="4366" data-end="4384">Predicted Values</p></li><li
class="" data-start="4387" data-end="4400"><p
class="" data-start="4389" data-end="4400">Residuals</p></li></ul></li><li
class="" data-start="4401" data-end="4550"><p
class="" data-start="4403" data-end="4436"><strong
data-start="4403" data-end="4434">Additional Analysis Methods</strong></p><ul
data-start="4439" data-end="4550"><li
class="" data-start="4439" data-end="4491"><p
class="" data-start="4441" data-end="4468">Root Cause Analysis (RCA)</p><ul
data-start="4473" data-end="4491"><li
class="" data-start="4473" data-end="4491"><p
class="" data-start="4475" data-end="4491">Purpose of RCA</p></li></ul></li><li
class="" data-start="4494" data-end="4550"><p
class="" data-start="4496" data-end="4550">Corrective Action-Preventive Action (CAPA) mechanism</p></li></ul></li><li
class="" data-start="4551" data-end="4696"><p
class="" data-start="4553" data-end="4577"><strong
data-start="4553" data-end="4575">Hypothesis Testing</strong></p><ul
data-start="4580" data-end="4696"><li
class="" data-start="4580" data-end="4625"><p
class="" data-start="4582" data-end="4625">Terminology (Definition &amp; Interpretation)</p></li><li
class="" data-start="4628" data-end="4670"><p
class="" data-start="4630" data-end="4670">Statistical Vs. Practical Significance</p></li><li
class="" data-start="4673" data-end="4696"><p
class="" data-start="4675" data-end="4696">Power &amp; Sample Size</p></li></ul></li><li
class="" data-start="4697" data-end="4728"><p
class="" data-start="4699" data-end="4728"><strong
data-start="4699" data-end="4726">1-Sample Z &amp; 1-Sample t</strong></p></li><li
class="" data-start="4729" data-end="4861"><p
class="" data-start="4731" data-end="4779"><strong
data-start="4731" data-end="4777">Test for Means, Variances, and Proportions</strong></p><ul
data-start="4782" data-end="4861"><li
class="" data-start="4782" data-end="4796"><p
class="" data-start="4784" data-end="4796">2-Sample t</p></li><li
class="" data-start="4799" data-end="4824"><p
class="" data-start="4801" data-end="4824">1-Sample Poisson Rate</p></li><li
class="" data-start="4827" data-end="4861"><p
class="" data-start="4829" data-end="4861">Test for Equal Variances (TEV)</p></li></ul></li><li
class="" data-start="4862" data-end="4912"><p
class="" data-start="4864" data-end="4898"><strong
data-start="4864" data-end="4896">Analysis of Variance (ANOVA)</strong></p><ul
data-start="4901" data-end="4912"><li
class="" data-start="4901" data-end="4912"><p
class="" data-start="4903" data-end="4912">One-Way</p></li></ul></li><li
class="" data-start="4913" data-end="5003"><p
class="" data-start="4915" data-end="4942"><strong
data-start="4915" data-end="4940">Goodness-of-Fit tests</strong></p><ul
data-start="4945" data-end="5003"><li
class="" data-start="4945" data-end="4969"><p
class="" data-start="4947" data-end="4969">Chi-square Statistic</p></li><li
class="" data-start="4972" data-end="5003"><p
class="" data-start="4974" data-end="5003">Goodness-of-Fit for Poisson</p></li></ul></li><li
class="" data-start="5004" data-end="5049"><p
class="" data-start="5006" data-end="5031"><strong
data-start="5006" data-end="5029">Nonparametric Tests</strong></p><ul
data-start="5034" data-end="5049"><li
class="" data-start="5034" data-end="5049"><p
class="" data-start="5036" data-end="5049">Mood&rsquo;s Median</p></li></ul></li></ul><hr
class="" data-start="5051" data-end="5054"><h3 class="" data-start="5056" data-end="5087"><strong
data-start="5060" data-end="5085">IMPROVE Phase (Day 7)</strong></h3><p
class="" data-start="5089" data-end="5111"><strong
data-start="5089" data-end="5109">Key Deliverables</strong></p><ul
data-start="5112" data-end="5637"><li
class="" data-start="5112" data-end="5340"><p
class="" data-start="5114" data-end="5141"><strong
data-start="5114" data-end="5139">Design of Experiments</strong></p><ul
data-start="5144" data-end="5340"><li
class="" data-start="5144" data-end="5159"><p
class="" data-start="5146" data-end="5159">Terminology</p></li><li
class="" data-start="5162" data-end="5183"><p
class="" data-start="5164" data-end="5183">Design Principles</p></li><li
class="" data-start="5186" data-end="5210"><p
class="" data-start="5188" data-end="5210">Planning Experiments</p></li><li
class="" data-start="5213" data-end="5239"><p
class="" data-start="5215" data-end="5239">One-factor Experiments</p></li><li
class="" data-start="5242" data-end="5288"><p
class="" data-start="5244" data-end="5288">MINITAB Simulation &ndash; Screening Experiments</p></li><li
class="" data-start="5291" data-end="5340"><p
class="" data-start="5293" data-end="5340">MINITAB Simulation &ndash; Optimization Experiments</p></li></ul></li><li
class="" data-start="5341" data-end="5454"><p
class="" data-start="5343" data-end="5361"><strong
data-start="5343" data-end="5359">LEAN Methods</strong></p><ul
data-start="5364" data-end="5454"><li
class="" data-start="5364" data-end="5374"><p
class="" data-start="5366" data-end="5374">KANBAN</p></li><li
class="" data-start="5377" data-end="5408"><p
class="" data-start="5379" data-end="5408">Push-Pull System / Strategy</p></li><li
class="" data-start="5411" data-end="5421"><p
class="" data-start="5413" data-end="5421">JIDOKA</p></li><li
class="" data-start="5424" data-end="5454"><p
class="" data-start="5426" data-end="5454">Just-In-Time &ndash; An Overview</p></li></ul></li><li
class="" data-start="5455" data-end="5637"><p
class="" data-start="5457" data-end="5477"><strong
data-start="5457" data-end="5475">Implementation</strong></p><ul
data-start="5480" data-end="5637"><li
class="" data-start="5480" data-end="5539"><p
class="" data-start="5482" data-end="5539">Developing plans for implementing proposed improvements</p></li><li
class="" data-start="5542" data-end="5583"><p
class="" data-start="5544" data-end="5583">Conducting Pilot tests or simulations</p></li><li
class="" data-start="5586" data-end="5637"><p
class="" data-start="5588" data-end="5637">Evaluating results to select the optimal solution</p></li></ul></li></ul><hr
class="" data-start="5639" data-end="5642"><p
class="" data-start="5644" data-end="5666"><strong
data-start="5644" data-end="5664">Key Deliverables</strong></p><ul
data-start="5667" data-end="5933"><li
class="" data-start="5667" data-end="5933"><p
class="" data-start="5669" data-end="5708"><strong
data-start="5669" data-end="5706">Statistical Process Control (SPC)</strong></p><ul
data-start="5711" data-end="5933"><li
class="" data-start="5711" data-end="5732"><p
class="" data-start="5713" data-end="5732">Objectives of SPC</p></li><li
class="" data-start="5735" data-end="5790"><p
class="" data-start="5737" data-end="5790">Selection of variables for Control Chart monitoring</p></li><li
class="" data-start="5793" data-end="5820"><p
class="" data-start="5795" data-end="5820">Control Chart Selection</p></li><li
class="" data-start="5823" data-end="5933"><p
class="" data-start="5825" data-end="5858">Control Chart for Discrete Data</p><ul
data-start="5863" data-end="5933"><li
class="" data-start="5863" data-end="5895"><p
class="" data-start="5865" data-end="5895">u-Chart (Incidents Per Unit)</p></li><li
class="" data-start="5900" data-end="5933"><p
class="" data-start="5902" data-end="5933">np-Chart (Number of Defectives)</p></li></ul></li></ul></li></ul><hr
class="" data-start="5935" data-end="5938"><h3 class="" data-start="5940" data-end="6011"><strong
data-start="5944" data-end="6009">Why Choose Ascendia Holding for Lean Six Sigma Certification?</strong></h3><p
class="" data-start="6012" data-end="6297">At Ascendia Holding, we bring a value-first approach to Lean Six Sigma Green Belt (LSSGB) and Lean Six Sigma Black Belt (LSSBB) training. Our mission is simple ; to deliver customer-centric, globally recognized quality management education that transforms careers and businesses alike.</p><hr
class="" data-start="6299" data-end="6302"><h3 class="" data-start="6304" data-end="6334"><strong
data-start="6308" data-end="6332">What Sets Us Apart :</strong></h3><ul
data-start="6335" data-end="7459"><li
class="" data-start="6335" data-end="6443"><p
class="" data-start="6337" data-end="6443">KHDA Approved : Our certifications are government-recognized and verifiable in Dubai and across the UAE.</p></li><li
class="" data-start="6444" data-end="6561"><p
class="" data-start="6446" data-end="6561">International Accreditation: Dual certifications from IASSC USA and CSSC USA, boosting global career credibility.</p></li><li
class="" data-start="6562" data-end="6661"><p
class="" data-start="6564" data-end="6661">CPD UK Membership : Commitment to continuous professional development and recognized standards.</p></li><li
class="" data-start="6662" data-end="6768"><p
class="" data-start="6664" data-end="6768">Expert-Led Sessions : Training delivered by hands-on Master Black Belts with real industry experience.</p></li><li
class="" data-start="6769" data-end="6885"><p
class="" data-start="6771" data-end="6885">Project-Based Learning : Practical capsule projects help you apply Lean Six Sigma tools to real-world scenarios.</p></li><li
class="" data-start="6886" data-end="6981"><p
class="" data-start="6888" data-end="6981">Practical Learning Kits : Get toolkits, templates, and resources for long-term application.</p></li><li
class="" data-start="6982" data-end="7091"><p
class="" data-start="6984" data-end="7091">Mentorship Over Sales : Our advisors are certified experts ; focused on transformation, not transactions.</p></li><li
class="" data-start="7092" data-end="7187"><p
class="" data-start="7094" data-end="7187">Dual International Certifications : Earn prestigious certificates from both IASSC and KHDA.</p></li><li
class="" data-start="7188" data-end="7233"><p
class="" data-start="7190" data-end="7233">Affordability with Flexibility of Payment</p></li><li
class="" data-start="7234" data-end="7459"><p
class="" data-start="7236" data-end="7459">Proven Success : 60% of our new learners come from word-of-mouth referrals ; a true testament to learner satisfaction and trust. Every program evolves continuously through honest learner feedback and real-world application.</p></li></ul><hr
class="" data-start="7461" data-end="7464"><h3 class="" data-start="7466" data-end="7507"><strong
data-start="7470" data-end="7505">Facilitators &amp; Trained Learners</strong></h3><p
class="" data-start="7508" data-end="7719">At Ascendia Holding, our expert facilitators bring extensive industry experience and a proven track record, having worked with some of the most reputable companies in UK, USA, UAE, and the broader Gulf region.</p><p
class="" data-start="7721" data-end="7936">Ascendia Holding certifications are KHDA approved, IASSC aligned, CSSC accredited, and digitally secured blockchain technology ; ensuring you earn a credential that is globally trusted, verifiable, and future-ready.</p><p>Cost: 2750 AED</p><p>Duration: 8 Days</p>					]]>				  </description>				  <pubDate>Fri, 25 Apr 2025 21:07:01 +04</pubDate>				</item> 								<item><title><![CDATA[Certified Six Sigma Black Belt  - LEORON Professional Development Institute , Dubai ]]></title><link>https://courses.laimoon.com/course/certified-six-sigma-black-belt-leoron-professional-development-institute/online</link>				  <description>				  <![CDATA[						The Certified Six Sigma Black Belt (CSSBB) is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics, and assign team member roles and responsibilities. Black Belts have a thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of lean enterprise concepts, are able to identify nonvalue-added elements and activities and are able to use specific tools.<br><br><br>5 KEY TAKEAWAYS<ul><li>Apply the Six Sigma Black Belt&nbsp;project responsibilities and team roles&nbsp;for deploying Six Sigma within the organization for improving project results.</li><li>Select appropriate&nbsp;project management and quality tools&nbsp;to manage Six Sigma projects.</li><li>Develop a business case&nbsp;(project charter and team performance) for Six Sigma project success in a specific process related to the participant's company.</li><li>Implement a&nbsp;data gathering procedure&nbsp;based upon the business case for the project.</li><li>Analyze the Six Sigma project results&nbsp;in a strategic business perspective and communicate these results appropriately to all levels of an organization.</li></ul><p>Cost: 2190 USD</p><p>Duration: 5 Days</p>					]]>				  </description>				  <pubDate>Tue, 03 Mar 2020 17:29:59 +04</pubDate>				</item> 					</channel></rss>
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