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

Authors: Ardavan Babaei; Majid Khedmati; Mohammad Reza Akbari Jokar

Addresses: Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran ' Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran ' Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

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.

DOI: 10.1504/IJBPSCM.2022.124347

International Journal of Business Performance and Supply Chain Modelling, 2022 Vol.13 No.2, pp.139 - 166

Received: 12 Feb 2021
Accepted: 11 Sep 2021
Published online: 25 Jul 2022 *

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