TY - GEN
T1 - Supply Chain Optimization Through Cooperative Negotiation by Using Backward Scheduling
AU - Tanimizu, Yoshitaka
AU - Kanbara, Rika
N1 - Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Backward scheduling
KW - Cooperative negation
KW - Job-shop scheduling
KW - Make-to-Order (MTO) manufacturing
KW - Supply chain configuration
UR - http://www.scopus.com/inward/record.url?scp=85115301455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115301455&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-85906-0_68
DO - 10.1007/978-3-030-85906-0_68
M3 - Conference contribution
AN - SCOPUS:85115301455
SN - 9783030859053
T3 - IFIP Advances in Information and Communication Technology
SP - 629
EP - 636
BT - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
A2 - Dolgui, Alexandre
A2 - Bernard, Alain
A2 - Lemoine, David
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Y2 - 5 September 2021 through 9 September 2021
ER -