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Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain

Author

Listed:
  • Chun-Yuan Lin

    (Asia University, Taiwan)

  • Mosiur Rahaman

    (Global Research Center for Technology and Science, India & International Center for AI and Cyber Security Research and Innovations, Asia University, Taiwan)

  • Massoud Moslehpour

    (Asia University, Taiwan)

  • Sourasis Chattopadhyay

    (Asia University, Taiwan)

  • Varsha Arya

    (Department of Business Administration, Asia University, Taiwan, & Lebanese American University, Beirut, Lebanon, & Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India)

Abstract

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.

Suggested Citation

  • Chun-Yuan Lin & Mosiur Rahaman & Massoud Moslehpour & Sourasis Chattopadhyay & Varsha Arya, 2023. "Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global Scientific Publishing, vol. 19(1), pages 1-23, January.
    • Handle: RePEc:igg:jswis0:v:19:y:2023:i:1:p:1-23
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    References listed on IDEAS

    as
    1. Han, Jialin & Zhang, Jiaxiang & Zeng, Bing & Mao, Mingsong, 2021. "Optimizing dynamic facility location-allocation for agricultural machinery maintenance using Benders decomposition," Omega, Elsevier, vol. 105(C).
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