Optimal Supplier Selection in a Supply Chain with Predetermined Loading/Unloading Time Windows and Logistics Truck Share

Alireza Fallahtafti,Gary R Weckman,Iman Ghalehkhondabi

doi:10.1007/978-3-030-29996-5_12

Alireza Fallahtafti, Gary R Weckman + Show 1 more

Open Access

https://doi.org/10.1007/978-3-030-29996-5_12

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Publication Date: Jan 1, 2019
Citations: 2	License type: cc-by

Affiliation: Ohio University, Our Lady of the Lake University

Abstract

Rapid population growth and increasing demand of transportation necessitate more efficient transportation and logistics processes. Efficient logistics processes in a supply chain can help the supplier selection procedure be more proficient in terms of delivery time. This paper studies a three-stage supply chain which enables truck sharing for delivery. All suppliers and the manufacturer have a time window for loading and unloading the material. A nonlinear programming model is developed to find the optimal truck share among different suppliers. A numerical example shows the applicability of the proposed model.

Highlights

Supplier selection is one of the most important decision-making practices in supply chain management
Many researchers have studied the supplier selection problem under various assumptions and within different frameworks. Studies such as supplier selection and order assignment with supply capacity [5], logistics provider selection using analytic hierarchy process (AHP) and linear programming [6] or using fuzzy analytic network process (FANP) [7], applying multi-criteria decision making to select a third-party logistics provider [8], and selecting the third-party logistics provider for a mass customization logistics process [9] are some of the works in this area
Improved transportation services would increase the competitiveness of third-party logistics providers

Summary

Introduction

Supplier selection is one of the most important decision-making practices in supply chain management. Many researchers have studied the supplier selection problem under various assumptions and within different frameworks Studies such as supplier selection and order assignment with supply capacity [5], logistics provider selection using analytic hierarchy process (AHP) and linear programming [6] or using fuzzy analytic network process (FANP) [7], applying multi-criteria decision making to select a third-party logistics provider [8], and selecting the third-party logistics provider for a mass customization logistics process [9] are some of the works in this area. One of the ideas developed in order to deal with truck transportation capacity involves diving the concept of ride sharing up into logistic processes. Truck sharing is a way to solve empty trips, as well as a lack of capacity issue regarding truck transportation [13] Studies such as [14] and [15] applied the truck sharing concept in container terminals to optimize both the assignment of cranes to containers and truck sharing amongst the containers.

Mathematical Model

Mathematical formulation ( 1)

Model linearization

Computational results

Conclusions