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Efficient hierarchical hybrid delivery in the last mile logistics

Babaei, A ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1504/EJIE.2023.134701
  3. Publisher: Inderscience Publishers , 2023
  4. Abstract:
  5. An efficient hierarchical hybrid delivery (EHHD) model is proposed by integrating a location-allocation optimisation model with a dynamic data envelopment analysis (DEA) model in this paper. The proposed model is characterised by having a periodic measurement assessing customer behaviour using the dynamic DEA, as well as developing a hierarchical connection among home delivery, the pickup point and the locker station options. The developed model considers uncertain conditions for transportation costs and customer behaviour. To solve this model, a meta-goal programming approach has been used. Based on the results of the numerical experiments, the developed model has a better performance than other competing models in terms of generating feasible and optimal solutions. Moreover, the application of the developed model is demonstrated in a case study. To the best of our knowledge, the model presented in this paper is the first attempt to simultaneously integrate customer behaviour with last-mile logistics. [Received: 23 April 2021; Accepted: 27 August 2022] Copyright © 2023 Inderscience Enterprises Ltd
  6. Keywords:
  7. customer behaviour data ; delivery options ; efficient ; hierarchical ; last-mile delivery ; supply chain
  8. Source: European Journal of Industrial Engineering ; Volume 17, Issue 6 , 2023 , Pages 875-916 ; 17515254 (ISSN)
  9. URL: https://www.inderscienceonline.com/doi/abs/10.1504/EJIE.2023.134701