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A Step towards Developing a Sustainability Performance Measure within Industrial Networks

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  • Samaneh Shokravi

    (Melbourne Academy for Sustainability and Society (MASS), Melbourne Sustainable Society Institute (MSSI), The University of Melbourne, Parkville VIC 3010, Australia
    Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Parkville VIC 3010, Australia)

  • Sherah Kurnia

    (Department of Computing and Information Systems, Melbourne School of Engineering, The University of Melbourne, Parkville VIC 3010, Australia)

Abstract

Despite the plethora of literature in sustainability and supply chain management in the recent years, a quantitative tool that measures the sustainability performance of an industrial supply network, considering the uncertainties of existing data, is hard to find. This conceptual paper is aimed at establishing a quantitative measure for the sustainability performance of industrial supply networks that considers aleatory and epistemic uncertainties in its environmental performance evaluation. The measure is built upon economic, environmental and social performance evaluation models. These models address a number of shortcomings in the literature, such as incomplete and inaccurate calculation of environmental impacts, as well as the disregard for aleatory and epistemic uncertainties in the input data and, more importantly, the scarce number of quantitative social sustainability measures. Dyadic interactions are chosen for the network, while the network members have a revenue-sharing relationship. This relationship promotes sharing of the required information for the use of the proposed model. This measure provides an approach to quantify the environmental, social and economic sustainability performances of a supply network. Moreover, as this measure is not specifically designed for an industrial sector, it can be employed over an evolving and diverse industrial network.

Suggested Citation

  • Samaneh Shokravi & Sherah Kurnia, 2014. "A Step towards Developing a Sustainability Performance Measure within Industrial Networks," Sustainability, MDPI, vol. 6(4), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:4:p:2201-2222:d:35139
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    References listed on IDEAS

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    6. Josef-Peter Schöggl & Morgane M. C. Fritz & Rupert J. Baumgartner, 2016. "Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach," Sustainability, MDPI, vol. 8(11), pages 1-20, November.
    7. Fahim ul Amin & Qingkai Ji & María del Carmen Valls Martínez & Qian-Li Dong & Shamsa Kanwal & Iram Zulfiqar, 2023. "The Moderating Effect of Customer Relationship on Supply Chain Risk Management and Organization Performance in Logistics Sector of Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
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