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Scaled critical factor index for optimal resource allocation in service and lean construction

Author

Listed:
  • Alemu Moges Belay
  • Josu Takala
  • Rayko Toshev
  • Bjørn Andersen

Abstract

Service and construction require large resource, thus there is a need for a comprehensive method for optimal resource allocation. The purpose of this study is to develop and use scaled critical factor index (SCFI) for sustainable resource allocations in a service provision company and a lean construction project. In this research, 160 questionnaires were distributed and the response rate was 48%. Different statistical process control charts were incorporated in the analysis to avoid subjective decisions. The pitfalls of the previous CFI model are explained and improved. The managers identified areas to be improved and developed an insight into how to balance the resources. Results were validated by plotting an implementation index versus relative importance and it was found that the results are in line with the literature. SCFI enables seeing the relative differences in resource allocation under all conditions and helps managers to allocate resource in a more sustainable way.

Suggested Citation

  • Alemu Moges Belay & Josu Takala & Rayko Toshev & Bjørn Andersen, 2013. "Scaled critical factor index for optimal resource allocation in service and lean construction," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 5(3), pages 286-306.
    • Handle: RePEc:ids:ijsuse:v:5:y:2013:i:3:p:286-306
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    Cited by:

    1. Jialei Jiang & Eun-Mi Park & Seong-Taek Park, 2021. "The Impact of the COVID-19 on Economic Sustainability—A Case Study of Fluctuation in Stock Prices for China and South Korea," Sustainability, MDPI, vol. 13(12), pages 1-17, June.

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