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Decision making process in lean assessment and implementation: a review
- Source :
- Management Review Quarterly. 72:1089-1128
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Lean manufacturing (LM), by providing significant advancement in systems performance and efficiency, has recently come to a wide use in industrial environments. LM, providing tools that can target types of waste and improve various aspects of manufacturing systems implementation, uses the application of such tools to improve operational and financial aspects of organizations. Critical decisions with multiple contradictory criteria are associated with lean implementation (LI), leading to a multi-criteria decision making (MCDM) problem. A great deal of work has been directed toward understanding the decision-making process involved in LI process, but with little focus on the role of MCDM involving a LI chain. More than two hundred articles were reviewed and categorized, and the decision-making process as related to LI is structured into three main levels. First, the leanness level should be determined to describe the need for lean tools. Second, based on the leanness level, lean tools can be selected for implementation. Finally, appropriate parameters for the selected tools should be determined. The result of this categorization is a platform providing a comprehensive understanding of full-chain decision-making in LI. In general, adequate quality of decisions should be realized through all levels to ensure efficient LI.
- Subjects :
- Process management
Process (engineering)
Computer science
Strategy and Management
media_common.quotation_subject
International business
Multiple-criteria decision analysis
Lean manufacturing
Work (electrical)
Categorization
Business, Management and Accounting (miscellaneous)
Quality (business)
Decision-making
media_common
Subjects
Details
- ISSN :
- 21981639 and 21981620
- Volume :
- 72
- Database :
- OpenAIRE
- Journal :
- Management Review Quarterly
- Accession number :
- edsair.doi...........cb63e70e74283fff28e7bece96db919d