基于高阶组多角色分配的协同制造生产链供应商资格

IF 4.6 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Junhao Chen;Haibin Zhu;Yong Zhang;Yinghui Pan;Dongning Liu
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引用次数: 0

摘要

在协同制造中,客户到制造商模式在用户和供应商之间建立了直接联系,促进了个性化需求驱动的生产过程。用户发布多个产品需求,生成相应的生产任务,供应商负责完成这些任务。这在用户、产品和供应商之间创建了更高层次的多对多关系,使任务分配更具挑战性。为此,本文通过将群体多角色分配(GMRA)模型修正为高阶GMRA (HOGMRA)模型,形式化了协同制造(PTAPCM)中的生产任务分配问题。在HOGMRA中,区分每个供应商的能力成为解决PTAPCM的关键问题。为了解决这个问题,我们提出了供应商资格认证算法(SQA)及其增强版本,增强供应商资格认证算法(ESQA)。在对供应商资质进行评估后,HOGMRA将PTAPCM制定为一个整数线性规划问题,该问题可由通用优化器解决。最后,进行了大规模实验,验证了所提方案的实用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supplier Qualification of the Production Chain in Collaborative Manufacturing via Higher Order Group Multi-Role Assignment
In collaborative manufacturing, the customer-to-manufacturer model establishes a direct link between users and suppliers, facilitating a production process driven by personalized demands. Users publish multiple product demands, generating corresponding production tasks, while suppliers are responsible for completing these tasks. This creates higher order many-to-many relationships among users, products, and suppliers, making task assignment more challenging. For this concern, this article formalizes the production task assignment problem in collaborative manufacturing (PTAPCM) by revising the group multi-role assignment (GMRA) model to a higher order GMRA (HOGMRA) model. In HOGMRA, distinguishing the capabilities of each supplier becomes the key issue in solving the PTAPCM. To address this, we propose the supplier qualification algorithm (SQA) and its enhanced version, enhanced supplier qualification algorithm (ESQA). After evaluating supplier qualifications, HOGMRA formulates the PTAPCM as an integer linear programming problem that can be solved by a general-purpose optimizer. Finally, large-scale experiments are carried out to demonstrate the practicability and effectiveness of the proposed solutions.
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来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
期刊介绍: IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.
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