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Supply Chain Optimization Through Cooperative Negotiation by Using Backward Scheduling

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 632))

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Abstract

In recent years, mass customization is an important issue in manufacturing industries. They may require a make-to-order (MTO) manufacturing system throughout the whole supply chain. Our previous researches proposed a basic three-layered supply chain model for dynamic configuration of supply chains including an MTO manufacturing system. The model consists of three model components named a client, a manufacturer, and a supplier. A negotiation process among the model components were proposed in order to enter into a lot of contracts. This paper presents a cooperative negation method between a manufacturer and a supplier. The objective is to provide a negotiation method for entering into a large amount of contracts with a client. A manufacturer adjusts the requirement of part order for a supplier by reallocating manufacturing operations backwards from the delivery time required by a client. We developed a prototype of simulation system for a three-layered supply chain. We carried out large number of computational experiments by changing experimental conditions and verified the effectiveness of the proposed negotiation method.

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Correspondence to Yoshitaka Tanimizu .

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Tanimizu, Y., Kanbara, R. (2021). Supply Chain Optimization Through Cooperative Negotiation by Using Backward Scheduling. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 632. Springer, Cham. https://doi.org/10.1007/978-3-030-85906-0_68

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  • DOI: https://doi.org/10.1007/978-3-030-85906-0_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85905-3

  • Online ISBN: 978-3-030-85906-0

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