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Sustainable Lot Size in a Multistage Lean-Green Manufacturing Process under Uncertainty

Title
Sustainable Lot Size in a Multistage Lean-Green Manufacturing Process under Uncertainty
Author
Sarkar, Biswajit
Keywords
lean manufacturing; sustainability; process imperfection; uncertain information; decomposition principle; triangular fuzzy number
Issue Date
2018-12
Publisher
MDPI
Citation
MATHEMATICS, v. 7, No. 1, Page. 20
Abstract
Optimal lot sizing is the primary tool applied by lean practitioners to reduce inconsistency in the manufacturing system to cut down inventories, which are often considered as a type of waste in the lean culture. Managers attempt to consider environmental impacts of the manufacturing system and find ways to reduce these effects while making efforts to achieve environmental protection. From a sustainability standpoint, carbon emissions are the major source of environmental contamination and degradation. In this context, this research provides an economic production quantity model with uncertain demand and process information in a multistage manufacturing process. This imperfect manufacturing process produces defective products at an uncertain rate, and is reworked to convert them into perfect quality products and reduce wastages. To control this uncertainty in the manufacturing process, the decomposition principle and the signed distance method of fuzzy theory are applied. The manufacturing process is analyzed with regard to environmental concerns, and a sustainable lot size is obtained through an interactive Weighted Fuzzy Goal Programming (WFGP) approach for the simultaneous achievement of economic and environmental sustainability. An experimental study is performed to verify the practical implication of the model, and results are evaluated through a sensitivity analysis. Important managerial insights and graphical illustrations are provided to elaborate the model.
URI
https://www.mdpi.com/2227-7390/7/1/20/htmhttps://repository.hanyang.ac.kr/handle/20.500.11754/98944
ISSN
2227-7390
DOI
10.3390/math7010020
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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