Details

Autor(en) / Beteiligte

• Mahato, Satyajit
• Rai Dixit, Amit
• Agrawal, Rajeev

Titel

Application of Lean Six Sigma for cost-optimised solution of a field quality problem: A case study

Ist Teil von

• Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2017-03, Vol.231 (4), p.713-729

Ort / Verlag

London, England: SAGE Publications

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In a price-sensitive market, quality improvement framework also needs to incorporate cost factor. Past research on Lean Six Sigma gives limited insight on any framework catering to quality and cost together. This study aims to contribute in this niche by illustrating a hybrid framework, DMAIoC (define, measure, analyse, improve, optimise and control) to attain desired quality at minimum investment cost by integrating simplex method of optimisation in conventional DMAIC (define, measure, analyse, improve and control) framework. A case study is presented highlighting a field quality rejection problem faced by a manufacturing organisation of consumer goods. Sustainable drop height of a finished good is identified as a response variable to improve the quality. Proposed framework has been used to arrive at a statistical model to define relationship between response and input variables. Investment cost involved with change in input variables has been formulated as objective function. Constrains of objective functions were derived by extendable limits of input variables and by statistical model generated for sustainable drop height. Several feasible solutions to the objective function were identified using simplex method in optimise phase and the most economic was recommended for implementation to meet quality requirement at minimum investment. Suggested framework has significant practical implication in price–quality sensitive markets where manufacturers seek low cost process improvement solutions.