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Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing

  • Nasser Amaitik*
  • , Ming Zhang
  • , Zezhong Wang
  • , Yuchun Xu*
  • , Gareth Thomson
  • , Yiyong Xiao
  • , Nikolaos Kolokas
  • , Alexander Maisuradze
  • , Oscar Garcia
  • , Michael Peschl
  • , Dimitrios Tzovaras
  • *Corresponding author for this work
  • Aston University
  • Center for Research and Technology - Hellas
  • Harms & Wende GmbH & Co. KG
  • Information Catalyst of Enterprises

Research output: Contribution to journalArticlepeer-review

Abstract

Industrial equipment/machinery is an important element of manufacturing. They are used for producing objects that people need for everyday use. Therefore, there is a challenge to adopt effective maintenance strategies to keep them well-functioning and well-maintained in production lines. This will save energy and materials and contribute genuinely to the circular economy and creating value. Remanufacturing or refurbishment is one of the strategies to extend life of such industrial equipment. The paper presents an initial framework of cost estimation model based on combination of activity-based costing (ABC) and human expertise to assist the decision-making on best life extension strategy (e.g. remanufacturing, refurbishment, repair) for industrial equipment. Firstly, ABC cost model is developed to calculate cost of life extension strategy to be used as a benchmark strategy. Next, expert opinions are employed to modify data of benchmark strategy, which is then used to estimate costs of other life extension strategies. The developed cost model has been implemented in VBA-based Excel® platform. A case study with application examples has been used to demonstrate the results of the initial cost model developed and its applicability in estimating and analysing cost of applying life extension strategy for industrial equipment. Finally, conclusions on the developed cost model have been reported.

Original languageEnglish
Pages (from-to)1425-1444
Number of pages20
JournalCircular Economy and Sustainability
Volume2
Issue number4
DOIs
StatePublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Asset management
  • Circular economy
  • Cost modelling
  • Decision-making
  • Industrial equipment
  • Life extension strategy
  • Maintenance
  • Refurbishment
  • Remanufacturing

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