A Six Sigma Methodology Using Data Mining: A Case Study on Six Sigma Project for Heat Efficiency Improvement of a Hot Stove System in a Korean Steel Manufacturing Company

2009 ◽  
pp. 72-80 ◽  
Author(s):  
Gil-Sang Jang ◽  
Jong-Hag Jeon
Keyword(s):  
Data Mining ◽  
Six Sigma ◽  
Efficiency Improvement ◽  
Heat Efficiency ◽  
Steel Manufacturing ◽  
Manufacturing Company ◽  
Six Sigma Methodology ◽  
Using Data

Measure and Analyze the Problems of Concrete Mixture Production via Six Sigma DMAIC Tools: Central Concrete Mix Plant as a Case Study

2012 ◽  
Vol 622-623 ◽  
pp. 472-477
Author(s):  
Ali A. Karakhan ◽  
Angham E. Alsaffar
Keyword(s):  
Six Sigma ◽  
Business Strategy ◽  
Concrete Mixture ◽  
Statistical Tools ◽  
Sigma Level ◽  
Defect Rate ◽  
Concrete Production ◽  
Concrete Mix ◽  
Six Sigma Methodology

The aims of this study are to measure the defect rate and analyze the problems of production of ready concrete mixture plant by using Six Sigma methodology which is a business strategy for operations improvement depending basically on the application of its sub-methodology DMAIC improvement cycle and the basic statistical tools where the process sigma level of concrete production in the case study was 2.41 σ.

A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities

2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Research Direction ◽  
Design Constraints ◽  
Variant Design ◽  
Data Mining Approach ◽  
Design Activities ◽  
Using Data ◽  
New Research

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.

Efficiency improvement on the multicrystalline silicon wafer through six sigma methodology

2012 ◽  
Vol 31 (3) ◽  
pp. 143-153 ◽  
Author(s):  
S. Saravanan ◽  
Meera Mahadevan ◽  
Prakash Suratkar ◽  
E. V. Gijo
Keyword(s):  
Silicon Wafer ◽  
Six Sigma ◽  
Multicrystalline Silicon ◽  
Efficiency Improvement ◽  
Six Sigma Methodology
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