A study of quality management contracts for complex product supply chains considering quality and on-time delivery
Authors: 
Peng Dong, Yunzhe Li, Weimin YeAuthors Info & Claims
Peng Dong, Yunzhe Li, Weimin YeAuthors Info & ClaimsPages 329 - 337
Abstract
Considering the information disadvantage of manufacturers in the supply chain, in order to induce suppliers to consciously and actively guarantee the quality level and on-time delivery level of complex products in the process of pursuing their own cooperation revenue maximization, this paper decomposes and analyses in detail the quality cooperation process and revenue components of complex product master manufacturers and suppliers in a specific way, considering the factors of complex product quality and on-time delivery. At the same time, the optimal contract analysis of complex product supply chain under symmetric and asymmetric information conditions is carried out based on the Stacklberg model and principal-agent model respectively, and the principal-agent model and parameters of complex product under asymmetric information conditions are designed. Finally, the scientific validity of the model is verified by using a typical complex product calculation example of an aviation product.
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Published In
August 2023
347 pages
ISBN:9798400707681
DOI:10.1145/3625469
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 21 November 2023
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- Refereed limited
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IMMS 2023
IMMS 2023: 2023 the 6th International Conference on Information Management and Management Science
August 25 - 27, 2023
Chengdu, China
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