Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand

In this study, we focus on the production of innovative goods facing uncertain demand within an order-based assembly system featuring multiple products and periods. Originating from a manufacturer of automation products and precision instruments, the production processes are categorized into three t...

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Main Authors: Babak Javadi, Sasan Taslimi, Niloofar Abdolmaleki
Format: Article
Language:fas
Published: University of Qom 2024-03-01
Series:مدیریت مهندسی و رایانش نرم
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Online Access:https://jemsc.qom.ac.ir/article_2923_6b7419dc9fbdd7568c1249b4d3f56188.pdf
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author Babak Javadi
Sasan Taslimi
Niloofar Abdolmaleki
author_facet Babak Javadi
Sasan Taslimi
Niloofar Abdolmaleki
author_sort Babak Javadi
collection DOAJ
description In this study, we focus on the production of innovative goods facing uncertain demand within an order-based assembly system featuring multiple products and periods. Originating from a manufacturer of automation products and precision instruments, the production processes are categorized into three types: inflexible, flexible, and final assembly. In-house execution of inflexible and final assembly processes is crucial for retaining technical expertise and ensuring quality standards. Flexible processes, however, are typically outsourced to expedite order delivery and enhance production capacity. Yet, if excess capacity exists, these processes can be conducted internally alongside inflexible operations. To optimize profit and meet order requirements effectively, we propose an integrated model that considers production constraints. This model encompasses decision-making regarding order acceptance/rejection, production planning, and scheduling. Employing a robust optimization approach, we address the uncertainty inherent in demand variations. We then linearize the model and utilize optimization software to solve it across small and medium dimensions, considering various uncertainty levels. Through analysis of the results, we demonstrate the model's efficiency and underscore the benefits of incorporating production flexibility.
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institution Kabale University
issn 2538-6239
2538-2675
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publisher University of Qom
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series مدیریت مهندسی و رایانش نرم
spelling doaj-art-7f55fef347ce4fdd9a5eaa79b3cd94e02025-01-30T20:19:06ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752024-03-0192193410.22091/jemsc.2024.10557.11792923Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demandBabak Javadi0Sasan Taslimi1Niloofar Abdolmaleki2Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, IranDepartment of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, IranDepartment of Industrial Engineering, Faculty of Engineering, College of Farabi, University of TehranIn this study, we focus on the production of innovative goods facing uncertain demand within an order-based assembly system featuring multiple products and periods. Originating from a manufacturer of automation products and precision instruments, the production processes are categorized into three types: inflexible, flexible, and final assembly. In-house execution of inflexible and final assembly processes is crucial for retaining technical expertise and ensuring quality standards. Flexible processes, however, are typically outsourced to expedite order delivery and enhance production capacity. Yet, if excess capacity exists, these processes can be conducted internally alongside inflexible operations. To optimize profit and meet order requirements effectively, we propose an integrated model that considers production constraints. This model encompasses decision-making regarding order acceptance/rejection, production planning, and scheduling. Employing a robust optimization approach, we address the uncertainty inherent in demand variations. We then linearize the model and utilize optimization software to solve it across small and medium dimensions, considering various uncertainty levels. Through analysis of the results, we demonstrate the model's efficiency and underscore the benefits of incorporating production flexibility.https://jemsc.qom.ac.ir/article_2923_6b7419dc9fbdd7568c1249b4d3f56188.pdforder fulfillment""assemble to order"" innovative goods""robust optimization"" flexible manufacturing processes
spellingShingle Babak Javadi
Sasan Taslimi
Niloofar Abdolmaleki
Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
مدیریت مهندسی و رایانش نرم
order fulfillment"
"assemble to order"
" innovative goods"
"robust optimization"
" flexible manufacturing processes
title Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
title_full Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
title_fullStr Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
title_full_unstemmed Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
title_short Designing an integrated model for innovative goods order fulfillment in a assemble-to-order system considering uncertainty in demand
title_sort designing an integrated model for innovative goods order fulfillment in a assemble to order system considering uncertainty in demand
topic order fulfillment"
"assemble to order"
" innovative goods"
"robust optimization"
" flexible manufacturing processes
url https://jemsc.qom.ac.ir/article_2923_6b7419dc9fbdd7568c1249b4d3f56188.pdf
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AT niloofarabdolmaleki designinganintegratedmodelforinnovativegoodsorderfulfillmentinaassembletoordersystemconsideringuncertaintyindemand