Evaluation of supply chain routes based on control engineering and DEA considering traffic congestion and uncertainty

Ardavan Babaei, Majid Khedmati and Mohammad Reza Akbari Jokar

International Journal of Business Performance and Supply Chain Modelling, 2022, vol. 13, issue 2, 139-166

Abstract: In this paper, a mathematical model is proposed to assess the flow distribution based on the traffic criterion. In the mathematical model, the resilience and stability criteria are developed based on the concepts of control engineering and optimal control. The results show that the route stability is dependent on the traffic parameter. Then, considering several factors including stability, safety, resilience, risk-averse investment, the environment and noise, a decision-making model is presented to evaluate the performance of the flow distribution routes during crises. Goal programming and data-oriented modelling are used to solve the mathematical model. Data envelopment analysis (DEA) is used as the data-oriented model to evaluate the performance of scenarios under uncertainty. Furthermore, a decision-making methodology is proposed for ranking the routes. The results show that increasing beta can lead to lower desirability of a route. Finally, a managerial analysis is presented based on efficiency, risk, and PEST measures.

Keywords: energy distribution; supply chain routes; uncertainty; crisis situations; traffic criterion; decision-making; efficiency. (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:13:y:2022:i:2:p:139-166

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