A NEW DECISION MODEL FOR CROSS-DOCKING CENTER LOCATION IN LOGISTICS NETWORKS UNDER INTERVAL-VALUED INTUITIONISTIC FUZZY UNCERTAINTY

Seyed Meysam Mousavi,Jurgita Antuchevičienė,Behnam Vahdani,Edmundas Kazimieras Zavadskas,Hassan Hashemi

doi:10.3846/transport.2019.7442

Abstract

Cross-dock has been a novel logistic approach to effectively consolidate and distribute multiple products in logistics networks. Location selection of cross-docking centers is a decision problem under different conflicting criteria. The decision has a vital part in the strategic design of distribution networks in logistics management. Conventional methods for the location selection of cross-docking centers are insufficient for handling uncertainties in Decision-Makers (DMs) or experts’ opinions. This study presents a modern Multi-Criteria Group Decision-Making (MCGDM) model, which applies the concept of compromise solution under uncertainty. To address uncertainty, Interval-Valued Intuitionistic Fuzzy (IVIF) sets are used. In this paper, first an IVIF-weighted arithmetic averaging (IVIF-WAA) operator is used in order to aggregate all IVIF-decision matrices, which were made by a team of the DMs into final IVIF-decision matrix. Then, a new Collective Index (CI) is developed that simultaneously regards distances of cross-docking centers as candidates from the IVIF-ideal points. Finally, the feasibility and practicability of proposed MCGDM model is illustrated with an application example on location choices of cross-docking centers to the logistics network design.

Highlights

Cross-docking as a modern logistic approach has high potentials to decrease transportation costs as well as delivery time without increasing the inventory
This study presents a novel Interval-Valued Intuitionistic Fuzzy Multi-Criteria Group Decision-Making (IVIFMCGDM) model by the concept of compromise solution – i.e., Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method – to handle the CrossDocking Centers Location Selection Problem (CDLSP), under uncertainty
The results from the application for the CDLSP in this study illustrate that the presented IVIF-MCGDM approach is an adaptable and reasonable one under uncertainty, which helps the committee members to effortlessly use IVIF-numbers to express their uncertain recognition about the degrees that the candidate satisfies and does not satisfy the location evaluation criterion

Summary

Introduction

Cross-docking as a modern logistic approach has high potentials to decrease transportation costs as well as delivery time without increasing the inventory. Cross-docking can be the direct movement of containers from receiving to shipping with minimum dwell time in between. This approach has crucial impacts on the logistics networks, including just-in-time, zero inventories, electronic data exchange and different drop ship methods (Kellar et al 2016; Mousavi, Vahdani 2017). Effective movement of products from suppliers or providers through cross-docking distribution centers to retailers or customers is very important in the logistics networks (Mousavi et al 2014b). The utilization of several cross-docking centers is more and more vital

Results

Discussion

Conclusion