A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies
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...
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Veröffentlicht in: | IEEE transactions on engineering management 2022-10, Vol.69 (5), p.1958-1972 |
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container_end_page | 1972 |
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container_issue | 5 |
container_start_page | 1958 |
container_title | IEEE transactions on engineering management |
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creator | Galankashi, Masoud Rahiminezhad Madadi, Najmeh Helmi, Syed Ahmad Rahim, Abd. Rahman Abdul Rafiei, Farimah Mokhatab |
description | 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. |
doi_str_mv | 10.1109/TEM.2020.2995301 |
format | Article |
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Rahman Abdul ; Rafiei, Farimah Mokhatab</creator><creatorcontrib>Galankashi, Masoud Rahiminezhad ; Madadi, Najmeh ; Helmi, Syed Ahmad ; Rahim, Abd. Rahman Abdul ; Rafiei, Farimah Mokhatab</creatorcontrib><description>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. 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Rahman Abdul</creatorcontrib><creatorcontrib>Rafiei, Farimah Mokhatab</creatorcontrib><title>A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies</title><title>IEEE transactions on engineering management</title><addtitle>TEM</addtitle><description>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.</description><subject>Aggregate production planning (APP)</subject><subject>Biological system modeling</subject><subject>Companies</subject><subject>IBM CPLEX</subject><subject>Lead time</subject><subject>Lean manufacturing</subject><subject>lean manufacturing (LM)</subject><subject>Linear programming</subject><subject>Manufacturing</subject><subject>Mathematical model</subject><subject>mathematical modeling</subject><subject>Mathematical models</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Production planning</subject><subject>Sensitivity analysis</subject><subject>Weighting</subject><issn>0018-9391</issn><issn>1558-0040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kNFLwzAQxoMoOKfvgi8BnzsvSVMb38bYdLDiwPlcsvTSdXTNTFLB_96OiU_H3X3ffdyPkHsGE8ZAPW3mxYQDhwlXSgpgF2TEpMwTgBQuyQiA5YkSil2TmxD2Q5tKDiNymNKib2Pjtns0sflGOq1rj7WOSNfeVf0wdB1dt7rrmq6mhauwpdZ5ukLd0UJ3vdUm9n5YvtBlF5p6FwNdeHegm51HpDMdkH7Evmow3JIrq9uAd391TD4X883sLVm9vy5n01ViOGcxQcgkCGPS4bFUZQp1ZrZWoZFWM8gytIJJrsxzKqVmFTc8S20upd0KnmfIxZg8nu8evfvqMcRy73rfDZElz3IQKucsH1RwVhnvQvBoy6NvDtr_lAzKE9RygFqeoJZ_UAfLw9nSIOK_XDEmUpGLXzpJcp8</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Galankashi, Masoud Rahiminezhad</creator><creator>Madadi, Najmeh</creator><creator>Helmi, Syed Ahmad</creator><creator>Rahim, Abd. Rahman Abdul</creator><creator>Rafiei, Farimah Mokhatab</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-4343-4293</orcidid></search><sort><creationdate>20221001</creationdate><title>A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies</title><author>Galankashi, Masoud Rahiminezhad ; Madadi, Najmeh ; Helmi, Syed Ahmad ; Rahim, Abd. 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Rahman Abdul</au><au>Rafiei, Farimah Mokhatab</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies</atitle><jtitle>IEEE transactions on engineering management</jtitle><stitle>TEM</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>69</volume><issue>5</issue><spage>1958</spage><epage>1972</epage><pages>1958-1972</pages><issn>0018-9391</issn><eissn>1558-0040</eissn><coden>IEEMA4</coden><abstract>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.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TEM.2020.2995301</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4343-4293</orcidid></addata></record> |
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subjects | Aggregate production planning (APP) Biological system modeling Companies IBM CPLEX Lead time Lean manufacturing lean manufacturing (LM) Linear programming Manufacturing Mathematical model mathematical modeling Mathematical models Multiple objective analysis Optimization Production planning Sensitivity analysis Weighting |
title | A Multiobjective Aggregate Production Planning Model for Lean Manufacturing: Insights From Three Case Studies |
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