基于Web语义的MOOP算法促进供应链领域的分配问题

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Chun-Yuan Lin, Mosiur Rahaman, Massoud Moslehpour, Sourasis Chattopadhyay, Varsha Arya
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引用次数: 1

摘要

供应链的设施配置至关重要,因为它直接影响到成本效率、客户服务、供应链响应、风险降低、网络优化和整体竞争力。当企业明智地部署他们的设施时,他们可能会实现卓越的运营,超越客户的期望,并在当今多变的商业环境中获得竞争优势。为此,本研究引入了考虑基于距离的设施吸引力的基于协作的多级备份覆盖的多目标设施分配问题。覆盖的设施被进一步描述为覆盖过程的两个不同层次,其中需求可以被各自的设施覆盖为完全覆盖、部分覆盖和不覆盖。该设施分配问题的主要目标是使设施的覆盖范围最大化,从而使供应链网络中的整体设施覆盖范围最大化,同时使总成本最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain
The facility allocation of the supply chain is critical since it directly influences cost efficiency, customer service, supply chain responsiveness, risk reduction, network optimization, and overall competitiveness. When enterprises deploy their facilities wisely, they may achieve operational excellence, exceed customer expectations, and obtain a competitive advantage in today's volatile business climate. Due to this reason, a multi-objective facility allocation problem is introduced in this research with cooperative-based multi-level backup coverage considering distance-based facility attractiveness. The facility of the coverage is further described as two different layers of the coverage process, where demand can be covered as full, partial, and no coverage by their respective facilities. The main objectives of this facility allocation problem are to maximize the coverage of the facility to maximize overall facility coverage in the supply chain network and simultaneously minimize the overall cost.
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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