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A leanness assessment methodology based on neutrosophic DEMATEL
- Source :
- Journal of Manufacturing Systems. 59:320-344
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Lean systems which provide the elimination of waste and increase productivity in both manufacturing and service systems are highly desired by the companies. Designing a lean system requires enormous amount of efforts and is time consuming unless the right steps are followed. The first step of lean implementation is the assessment of leanness which determines the status quo of the existing system with respect to leanness. In searching of a comprehensive evaluation method, this study aims to propose a leanness assessment methodology which is able to aid company’s lean transformation. This study mainly differs from the existing studies by taking into account a wide range of lean indicators with a comprehensively designed questionnaire and evaluating leanness via neutrosophic DEMATEL (The Decision Making Trial and Evaluation Laboratory) based scoring structure. The proposed methodology is applied in three companies. Moreover, sensitivity analysis concerning metrics and comparison with classic DEMATEL are performed.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Status quo
Computer science
media_common.quotation_subject
02 engineering and technology
Lean manufacturing
Industrial and Manufacturing Engineering
ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS
020901 industrial engineering & automation
Risk analysis (engineering)
Hardware and Architecture
Control and Systems Engineering
Evaluation methods
0202 electrical engineering, electronic engineering, information engineering
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
020201 artificial intelligence & image processing
Lean implementation
Software
media_common
Subjects
Details
- ISSN :
- 02786125
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Journal of Manufacturing Systems
- Accession number :
- edsair.doi...........31171ac2c524c6bf9dd24235dff3a641