Performance observation and analysis of an information re-engineered supply chain: a case study of an automotive firm

This paper provides an empirical illustration of the potential of a cross‐supply chain information system (CSCIS) in an automotive industry setting. Whilst dramatic reductions in downstream finished goods, work‐in‐progress and raw materials inventories have taken place in many automotive supply chains, this paper looks at how demand information can be made more transparent in order to improve the efficiency of upstream operations. The paper concentrates on the findings from a case study that used a prototype Internet‐based system to convert original equipment manufacturer (OEM) demand into second and third‐tier component requirements. A computer‐based value analysis illustrates how this information might be used to significantly improve supply chain synchronisation in the lower tiers. The research demonstrates how information systems can be used to improve supply chain performance and provides further motivation for the development of more holistic supply chain planning information systems.

[1]  M. Christopher.  The Agile Supply Chain : Competing in Volatile Markets , 2000 .

[2]  D. R. Towill,et al.  Successful business systems engineering. I. The systems approach to business processes , 1997 .

[3]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[4]  Denis Royston Towill,et al.  Supply Chain Dynamics—The Change Engineering Challenge of the Mid 1990s , 1992 .

[5]  Computer Staff,et al.  The Machine That Changed the World , 1992 .

[6]  A. Gunasekaran,et al.  Performance measures and metrics in a supply chain environment , 2001 .

[7]  Thomas Johnsen,et al.  An initial classification of supply networks , 2000 .

[8]  H. Vos.  Trade and Industry , 1946 .

[9]  Andrew Millington,et al.  Local assembly units in the motor components industry: A case study of exhaust manufacture , 1998 .

[10]  D. Kehoe,et al.  New paradigms in planning and control across manufacturing supply chains ‐ The utilisation of Internet technologies , 2001 .

[11]  Des Doran,et al.  Manufacturing for synchronous supply: a case study of Ikeda Hoover Ltd , 2002 .

[12]  S. Croom.  Restructuring supply chains through information channel innovation , 2001 .

[13]  Shigeo Shingo,et al.  Non-Stock Production: The Shingo System for Continuous Improvement , 1988 .

[14]  Richard Schonberger,et al.  World class manufacturing : the lessons of simplicity applied , 1986 .

[15]  J. Parnaby,et al.  A systems approach to the implementation of JIT methodologies in Lucas Industries , 1988 .

[16]  Richard F. Powers,et al.  Disintegration and Re‐Integration: Logistics of the Twenty‐First Century , 1993 .

[17]  J. Fransoo,et al.  Measuring the bullwhip effect in the supply chain , 2000 .

[18]  D. Towill,et al.  Information enrichment: designing the supply chain for competitive advantage , 1997 .

[19]  Jaideep Motwani,et al.  Managing a global supply chain partnership , 1998 .

[20]  Luis Murillo,et al.  Supply chain management and the international dissemination of e-commerce , 2001, Ind. Manag. Data Syst..

[21]  Andrew C. Lyons.  A system approach to improving supply chain synchronisation using information transparency , 2003 .

[22]  Denis Royston Towill,et al.  The seamless supply chain - the predator's strategic advantage , 1997 .

[23]  D. Kehoe,et al.  Internet based supply chain management: A classification of approaches to manufacturing planning and control , 2001 .

[24]  D. Kehoe,et al.  The glass pipeline: increasing supply chain synchronisation through information transparency , 2004 .

[25]  Denis Royston Towill,et al.  Integrating the automotive supply chain: where are we now? , 2002 .

[26]  D. Bowersox.  Logistical excellence : it's not business as usual , 1992 .