01627890

Component

Supplier selection is considered a critical logistics choice in the emerging agent-based freight transportation models. The outcome of this logistics decision identifies trade relationships between business establishments (agents) and determines commodity flows between production and consumption points in markets. A robust supplier selection model is very important to accurate prediction of supply chains and freight flows between origins and destinations. Various approaches have been used to model supplier selection process. This paper introduces an agent-based computational economics approach for supplier selection problem. The proposed model combines behavioral science with computational methods to model economic processes in forming supply chain and to capture both behavioral and economical aspects of supplier selection problem. The model uses results of literature to determine a system for suppliers and buyers preferences in forming supply chain and applies a cutting-edge market-clearing algorithm, developed by Roth and Peranson, to match best supplier-buyer pairs and allocate commodity flows between them. The proposed model is implemented in a behavior-based supply chain and freight transportation model for the Phoenix and Tucson megaregions.

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.

01618707

17-03499

English

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Algorithms; Behavior; Commodity flow; Economic models; Freight transportation; Logistics; Origin and destination; Suppliers; Supply chain management

Phoenix (Arizona); Tucson (Arizona)

Freight Transportation; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-03499

TRIS, TRB, ATRI

Dec 8 2016 11:19AM