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2023 | OriginalPaper | Chapter

35. Mathematical Programming Model for Collaborative Replenishment Between Competitive Supply Chains in the Footwear Sector

Authors : Mario J. Seni, David Peidro

Published in: Industry 4.0: The Power of Data

Publisher: Springer International Publishing

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Abstract

This work proposes a mathematical programming model to model the collaborative replenishment process between competitive supply chains. The basic objective is to reduce the costs associated with replenishment, production, inventories and customer services by putting to good use volume discounts in a production setting with variable capacity, along with the deferred demand possibility. The collaborative mathematical model is compared to a non-collaborative model, and the cost savings made with collaboration are analyzed. The proposed models are applied to a case study based on real data acquired from three supply chains in the footwear sector in Colombia. The collaborative model’s results indicate cost savings for the participating collaborative enterprises regardless of them being small or large.

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Footnotes
1
Details of the other data used in the models can be supplied according to requirements.
 
Literature
2.
go back to reference Starr MK, Miller DW (1962) Inventory control: theory and practice. Prentice Hall, Englewood Cliffs Starr MK, Miller DW (1962) Inventory control: theory and practice. Prentice Hall, Englewood Cliffs
3.
go back to reference Shu FT (1971) Economic ordering frequency for two items jointly replenished. Manage Sci 17:99–110 Shu FT (1971) Economic ordering frequency for two items jointly replenished. Manage Sci 17:99–110
4.
5.
go back to reference Spekman R, Davis E (2003) The extended enterprise: gaining competitive advantage through collaborative supply chains. Prentice Hall, Upper Saddle River Spekman R, Davis E (2003) The extended enterprise: gaining competitive advantage through collaborative supply chains. Prentice Hall, Upper Saddle River
6.
go back to reference Derrouiche R, Neubert G, Bouras A (2008) Supply chain management: a framework to characterize the collaborative strategies. Int J Comput Integr Manuf 21:426–439CrossRef Derrouiche R, Neubert G, Bouras A (2008) Supply chain management: a framework to characterize the collaborative strategies. Int J Comput Integr Manuf 21:426–439CrossRef
7.
go back to reference Hsu SL (2009) Optimal joint replenishment decisions for a central factory with multiple satellite factories. Expert Syst Appl 36:2494–2502CrossRef Hsu SL (2009) Optimal joint replenishment decisions for a central factory with multiple satellite factories. Expert Syst Appl 36:2494–2502CrossRef
8.
go back to reference Otero C, Amaya R, Yie R (2019) A stochastic joint replenishment problem considering transportation and warehouse constraints with gainsharing by Shapley value allocation. Int J Prod Res 57:3036–3059CrossRef Otero C, Amaya R, Yie R (2019) A stochastic joint replenishment problem considering transportation and warehouse constraints with gainsharing by Shapley value allocation. Int J Prod Res 57:3036–3059CrossRef
9.
go back to reference Moon IK, Cha BC, Lee CU (2011) The joint replenishment and freight consolidation of a warehouse in a supply chain. Int J Prod Econ 133:344–350CrossRef Moon IK, Cha BC, Lee CU (2011) The joint replenishment and freight consolidation of a warehouse in a supply chain. Int J Prod Econ 133:344–350CrossRef
10.
go back to reference Wang L, He J, Zeng YR (2012) A differential evolution algorithm for joint replenishment problem using direct grouping and its application. Expert Syst 29:429–441CrossRef Wang L, He J, Zeng YR (2012) A differential evolution algorithm for joint replenishment problem using direct grouping and its application. Expert Syst 29:429–441CrossRef
11.
go back to reference Vanvuchelen N, Gijsbrechts J, Boute R (2020) Use of proximal policy optimization for the joint replenishment problem. Comput Ind (119) Vanvuchelen N, Gijsbrechts J, Boute R (2020) Use of proximal policy optimization for the joint replenishment problem. Comput Ind (119)
12.
go back to reference Spitter JM, Hurkens CAJ, de Kok AG, Lenstra JK, Negenman EG (2005) Linear programming models with planned lead times for supply chain operations planning. Eur J Oper Res 163:706–720CrossRefMATH Spitter JM, Hurkens CAJ, de Kok AG, Lenstra JK, Negenman EG (2005) Linear programming models with planned lead times for supply chain operations planning. Eur J Oper Res 163:706–720CrossRefMATH
13.
go back to reference Guptas A, Maranas CD (2003) Managing demand uncertainty in supply chain planning. Comput Chem Eng 27:1219–1227CrossRef Guptas A, Maranas CD (2003) Managing demand uncertainty in supply chain planning. Comput Chem Eng 27:1219–1227CrossRef
14.
go back to reference Li L (2019) Cooperative purchasing and preactive inventory sharing—channel balancing and performance improvement. Eur J Oper Res 278:738–751MathSciNetCrossRefMATH Li L (2019) Cooperative purchasing and preactive inventory sharing—channel balancing and performance improvement. Eur J Oper Res 278:738–751MathSciNetCrossRefMATH
15.
go back to reference Mehrjerdi Y, Shafiee M (2021) A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies. J Clean Prod 289:125–141CrossRef Mehrjerdi Y, Shafiee M (2021) A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies. J Clean Prod 289:125–141CrossRef
16.
go back to reference Zehui G, Qiying H, Chon-Huat G, Rui Z (2021) Action-dependent commitment in vertical collaborations: the effect of demand-creating innovations in a supply chain. Transp Res Part E 147:147–164 Zehui G, Qiying H, Chon-Huat G, Rui Z (2021) Action-dependent commitment in vertical collaborations: the effect of demand-creating innovations in a supply chain. Transp Res Part E 147:147–164
Metadata
Title
Mathematical Programming Model for Collaborative Replenishment Between Competitive Supply Chains in the Footwear Sector
Authors
Mario J. Seni
David Peidro
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-29382-5_35

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