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Performance Evaluation of Omni-Channel Distribution Network Configurations considering Green and Transparent Criteria under Uncertainty

Author

Listed:
  • Ardavan Babaei

    (Department of Industrial Engineering, Sharif University of Technology, Tehran 1458889694, Iran)

  • Majid Khedmati

    (Department of Industrial Engineering, Sharif University of Technology, Tehran 1458889694, Iran)

  • Mohammad Reza Akbari Jokar

    (Department of Industrial Engineering, Sharif University of Technology, Tehran 1458889694, Iran)

  • Erfan Babaee Tirkolaee

    (Department of Industrial Engineering, Istinye University, Istanbul 34396, Turkey)

Abstract

Satisfying customer demand is one of the growing concerns of supply chain managers. On the other hand, the development of internet communications has increased online demand. In addition, the COVID-19 pandemic has increased the demand for online shopping. One of the useful concepts that help to address this concern is the omni-channel strategy, which integrates online and traditional channels with the aim of improving customer service level. For this purpose, this paper proposes an algorithm for evaluating Omni-channel Distribution Network Configurations (OCDNCs). The algorithm applies an extended Data Envelopment Analysis (DEA) model to evaluate OCDNCs based on cost, service, transparency, and environmental criteria; and then, forms a consensus on the evaluation results generated according to different criteria by utilizing an uncertain optimization model. To the best of our knowledge, this is the first attempt in which such an algorithm has been employed to take into account the mentioned criteria in a model to evaluate OCDNCs. The application of the proposed models was investigated in a case study in relation to the Indian retail industry. The results show that the configuration with the most connections among its members was the most stable, robust, and efficient.

Suggested Citation

  • Ardavan Babaei & Majid Khedmati & Mohammad Reza Akbari Jokar & Erfan Babaee Tirkolaee, 2022. "Performance Evaluation of Omni-Channel Distribution Network Configurations considering Green and Transparent Criteria under Uncertainty," Sustainability, MDPI, vol. 14(19), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12607-:d:933100
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    References listed on IDEAS

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    1. Ardavan Babaei & Majid Khedmati & Mohammad Reza Akbari Jokar, 2023. "A new branch and efficiency algorithm for an optimal design of the supply chain network in view of resilience, inequity and traffic congestion," Annals of Operations Research, Springer, vol. 321(1), pages 49-78, February.

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