A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies

被引:7
|
作者
Galankashi, Masoud Rahiminezhad [1 ,2 ]
Madadi, Najmeh [1 ]
Helmi, Syed Ahmad [1 ,3 ]
Rahim, Abd Rahman Abdul [4 ]
Rafiei, Farimah Mokhatab [2 ]
机构
[1] Univ Teknol Malaysia, Fac Mech Engn, Dept Mat Mfg & Ind Engn, Skudai 81310, Malaysia
[2] Tarbiat Modares Univ, Dept Ind Engn, Tehran 14115111, Iran
[3] Univ Teknol Malaysia, Ctr Engn Educ, Skudai 81310, Malaysia
[4] Univ Teknol Malaysia, UTM Razak Sch Engn & Adv Technol, Int Campus, Kuala Lumpur 54100, Malaysia
关键词
Production planning; Companies; Manufacturing; Linear programming; Mathematical model; Biological system modeling; Aggregate production planning (APP); IBM CPLEX; lean manufacturing (LM); mathematical modeling; GREEN SUPPLY CHAIN; BI-OBJECTIVE OPTIMIZATION; INTEGRATED PRODUCTION; MULTIPLE CRITERIA; AGILE; MANAGEMENT; INDUSTRY; SYSTEM;
D O I
10.1109/TEM.2020.2995301
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article proposes a multiobjective mathematical model to optimize the multiperiod aggregate production planning (APP) of multiproduct companies. Although there are many studies of lean manufacturing (LM), its integration with APP has not been studied. The present article is intended to integrate APP and LM, including an analysis of market winners, market qualifiers, and waste. The model's objective functions include the cost, lead time, and waste minimization in addition to maximizing the product quality. A solution procedure is suggested to solve the model using IBM CPLEX 12.4 software. The model is investigated in three different case studies to check its applicability and generalizability. According to the obtained results, the proposed model provides an optimized APP with regard to the major concerns of LM, including waste, overproduction, time, and sourcing. In addition, according to the sensitivity analysis, lean weighting of the objective functions provides a better output than using equal weighting.
引用
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页码:1958 / 1972
页数:15
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