Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem

<p>The principles of sharing become increasingly important for boosting business profitability. In the realm of the sharing economy, 3D printers possess the potential to meet the printing demands of an expanded customer base. This paper investigates a class of mobile 3D printer scheduling prob...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tao Li (86810) (author)
مؤلفون آخرون: Hu Qin (10962934) (author), Nan Huang (464390) (author)
منشور في: 2025
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author Tao Li (86810)
author2 Hu Qin (10962934)
Nan Huang (464390)
author2_role author
author
author_facet Tao Li (86810)
Hu Qin (10962934)
Nan Huang (464390)
author_role author
dc.creator.none.fl_str_mv Tao Li (86810)
Hu Qin (10962934)
Nan Huang (464390)
dc.date.none.fl_str_mv 2025-10-27T21:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.omega.2025.103442
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Logic-based_Benders_decomposition_combined_with_column_generation_for_mobile_3D_printer_scheduling_problem/31017130
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Commerce, management, tourism and services
Transportation, logistics and supply chains
Economics
Applied economics
Mobile 3D printer schedule
Logic-based Benders decomposition
Column generation
Tandem sequence
dc.title.none.fl_str_mv Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>The principles of sharing become increasingly important for boosting business profitability. In the realm of the sharing economy, 3D printers possess the potential to meet the printing demands of an expanded customer base. This paper investigates a class of mobile 3D printer scheduling problems that consider various aspects such as printer allocation, transportation, and production. 3D printers can be transported using truck between customer locations to efficiently fulfill customer orders and achieve optimal resource allocation. A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. To address the specific characteristics of the Benders sub-problem, we define a novel tandem sequence structure and develop a tandem-sequence-based column generation for solving the Benders sub-problem. Three strategies, namely dominance rules, effective upper bounds, and tandem sequence deduplication, are constructed to accelerate the algorithm’s convergence. To evaluate the performance of the proposed algorithm framework and acceleration strategies, a comprehensive set of 320 instances and a real-world set of 14 instances are generated for rigorous testing. The experimental results affirm the effectiveness of these approaches and algorithm.</p><h2>Other Information</h2> <p> Published in: Omega<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.omega.2025.103442" target="_blank">https://dx.doi.org/10.1016/j.omega.2025.103442</a></p>
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network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/31017130
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spelling Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problemTao Li (86810)Hu Qin (10962934)Nan Huang (464390)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEconomicsApplied economicsMobile 3D printer scheduleLogic-based Benders decompositionColumn generationTandem sequence<p>The principles of sharing become increasingly important for boosting business profitability. In the realm of the sharing economy, 3D printers possess the potential to meet the printing demands of an expanded customer base. This paper investigates a class of mobile 3D printer scheduling problems that consider various aspects such as printer allocation, transportation, and production. 3D printers can be transported using truck between customer locations to efficiently fulfill customer orders and achieve optimal resource allocation. A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. To address the specific characteristics of the Benders sub-problem, we define a novel tandem sequence structure and develop a tandem-sequence-based column generation for solving the Benders sub-problem. Three strategies, namely dominance rules, effective upper bounds, and tandem sequence deduplication, are constructed to accelerate the algorithm’s convergence. To evaluate the performance of the proposed algorithm framework and acceleration strategies, a comprehensive set of 320 instances and a real-world set of 14 instances are generated for rigorous testing. The experimental results affirm the effectiveness of these approaches and algorithm.</p><h2>Other Information</h2> <p> Published in: Omega<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.omega.2025.103442" target="_blank">https://dx.doi.org/10.1016/j.omega.2025.103442</a></p>2025-10-27T21:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.omega.2025.103442https://figshare.com/articles/journal_contribution/Logic-based_Benders_decomposition_combined_with_column_generation_for_mobile_3D_printer_scheduling_problem/31017130CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/310171302025-10-27T21:00:00Z
spellingShingle Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Tao Li (86810)
Commerce, management, tourism and services
Transportation, logistics and supply chains
Economics
Applied economics
Mobile 3D printer schedule
Logic-based Benders decomposition
Column generation
Tandem sequence
status_str publishedVersion
title Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
title_full Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
title_fullStr Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
title_full_unstemmed Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
title_short Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
title_sort Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
topic Commerce, management, tourism and services
Transportation, logistics and supply chains
Economics
Applied economics
Mobile 3D printer schedule
Logic-based Benders decomposition
Column generation
Tandem sequence