An integrated approach for lean production using simulation and data envelopment analysis

Kiris, Sinem Buyuksaatci and Eryarsoy, Enes and Zaim, Selim and Delen, Dursun (2021) An integrated approach for lean production using simulation and data envelopment analysis. Annals of Operations Research . ISSN 0254-5330 (Print) 1572-9338 (Online) Published Online First

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According to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting objectives. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The proposed framework can help identify the most efficient solution alternative by (i) considering the most common lean production methods for assembly line balancing, such as single minute exchange of dies (SMED) and multi-machine set-up reduction (MMSUR), (ii) creating and simulating various alternative assembly line configuration options via discrete-event simulation modeling, and (iii) formulating and applying DEA to identify the best alternative assembly system configuration for the multi-objective decision making. In this study, we demonstrate the viability and superiority of the proposed framework with an application case on an automotive spare parts production system. The results show that the suggested framework substantially improves the existing system by increasing efficiency while concurrently decreasing work-in-process (WIP).
Item Type: Article
Uncontrolled Keywords: Data envelopment analysis (DEA); Lean production; Multi-machine set-up reduction (MMSUR); Simulation; Single minute exchange of dies (SMED); Time study
Divisions: Sabancı Business School
Depositing User: Enes Eryarsoy
Date Deposited: 28 Aug 2022 20:33
Last Modified: 28 Aug 2022 20:33

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