A Comparative analysis of service supply chain performance using analytic hierarchy process methodology

Oluseyi Adeyemi, Martin Potticary, Funlade Sunmola, Musibaudeen Olatunde Idris, Esther Onoge Adeyemi, Ibrahim Oluwole Raji

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Abstract

The study aims to provide a comprehensive analysis of the service supply chain (SSC) of small and medium scale enterprises (SMEs) and to offer insights to improve its supply chain performance. The study employs mixed methods, to analyse the data collected from SMEs. The findings highlight several key metrics of effective supply chain management in a service firm such as utilisation and flexibility of service capacity, inventory, order lead times, relationships between the organisation, its suppliers and customers, the importance of effective demand forecasting and inventory management as valuable attributes to improve the supply chain performance of service firms. Inventory lead time is presented as a fundamental metric useful in determining the service supply chain performance of SMEs.
Original languageEnglish
Pages (from-to)3102-3111
Number of pages10
JournalProcedia Computer Science
Volume232
Early online date20 Mar 2024
DOIs
Publication statusE-pub ahead of print - 20 Mar 2024
EventISM 2023 5th International Conference on Industry 4.0 and Smart Manufacturing - Iscte - University Institute of Lisbon, Lisbon, Portugal
Duration: 22 Nov 202324 Nov 2023
Conference number: 5
https://www.msc-les.org/ism2023/

Keywords

  • Supply Chain
  • Performance
  • Service company
  • Metrics
  • AHP

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