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

Chun Yuan Lin, Mosiur Rahaman*, Massoud Moslehpour, Sourasis Chattopadhyay, Varsha Arya

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)1-23
Number of pages23
JournalInternational Journal on Semantic Web and Information Systems
Volume19
Issue number1
DOIs
StatePublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 IGI Global. All rights reserved.

Keywords

  • Cluster Network
  • Facility Allocation
  • Heuristic Optimization
  • Multi Objective Optimization Problem
  • Semantic Web
  • Supply Chain

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