Improving Supply Chain in the Automotive Industry With the Right Bill of Material Configuration

Abstract

An effective supply chain management approach needs to be holistic and integrated, to avoid inefficiency between the echelons of the global chain. To achieve this goal, supply chain directors and decision makers are required to trade-off a centralized planning approach for a decentralized one. This paper develops a mixed approach where only the critical products are centrally planned, while leaving the non-critical ones to autonomous decisions at the local plants of a multi-echelon supply chain. To validate the benefits of the proposed planning model, a complex supply chain in the automotive industry is used as testbed, where a comparison between Top-Down (from finished products to raw materials) and Bottom-Up (from raw materials to finished products) approaches is also introduced. ANOVA test is performed on a full factorial design involving six criticality criteria and it suggests that the proposed selection model reduces the system size by 10-30% with respect to a fully centralized approach, and the Top-Down procedure leads to a critical sub-system smaller in size by about 5-10% in terms of number of products compared to the Bottom-Up one.