In this paper, a Back Propagation-Artificial Neural Network (BPANN) has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine the parts requirements is the Economic Order Quantity (EOQ) method. The ability of neural models to learn, particularly their capability of handling large amounts of data simult...

Supply Chain Management and Logistics involves optimizing the delivery of goods, services and information from supplier to customer. An effective supply chain makes companies competitive and profitable. Information is essential to making optimal supply chain decisions because it provides the global scope needed to make optimal decisions. Information technology (IT) provides the tools together t...

Purpose – The purpose of this paper is to provide a clustering approach to segment supply chain partners in the automobile industry and prioritize services offered by third party logistics service (3PL) providers. Design/methodology/approach – In total, 98 automobile and auto-parts manufacturers are surveyed to identify service needs, preferences, and outsourcing commitments. By applying a two-...

The main objective of this chapter is to define a set of strategic lines, from the public policy point of view, so that Portuguese suppliers of the auto industry can deploy a strategic alignment throughout the supply chain in order to position themselves as potential suppliers of the global sourcing strategy of their Iberian Peninsula clients. The characterization of the auto industry in Portug...

This study attempts to examine whether an automobile part exported from Japan is a kind of special and hardly replaced by the same part exported from other countries by estimating the elasticity of substitution between Japan and competing countries in a third market. The recent literature on foreign outsourcing and incomplete contract suggests that international transaction of intermediate inpu...

 It is scientifically challenging to determine the inventory level all through the supply chain in such a way that the desired objectives such as effectiveness and responsiveness of the supply chain system can be obtained. Simulation is a means for solving various problems which cannot be solved by regular exact models such as mathematical ones due to their complexity. The present paper is aime...

Supply chain risk management (SCRM) has increasingly become a more favored research area for academicians and practitioners in recent years. SCRM has been considered an important source of competitive advantage and as an effective method of reducing vulnerability in supply chain systems. Supply chain risk and uncertainty and their related potential losses are becoming much larger as the frequen...

The increase of international competition motivated most of the organizations to create useful shared mutual cooperation with supply chain partners since they understood that cooperation and collaboration of supply chain partners is the prerequisite for the increase of reliability level and the decrease of risks and also the enhancement of innovative qualities and profitability of the companies...