Title: Efficient hierarchical hybrid delivery in the last mile logistics

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: 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]

Keywords: last-mile delivery; customer behaviour data; delivery options; hierarchical; efficient; supply chain.

DOI: 10.1504/EJIE.2023.134701

European Journal of Industrial Engineering, 2023 Vol.17 No.6, pp.875 - 916

Received: 23 Apr 2021
Accepted: 27 Aug 2022
Published online: 06 Nov 2023 *