Order Management in Supply Chain: A Case Study in Automotive Companies

Problem statement: Predicting customer’s future orders had an essential role in planning appropriate strategy in a Supply Chain Management (SCM) implementation. Purpose of this study was to identify how predicting future orders can facilitate managing activities across companies. Approach: A case study conducted in four Iranian automotive organisations to understand the actual results of order prediction in managing organisational processes. Results: Results of case study highlighted that more than 86% of activities completed before actual orders were received in these organisations. Conclusion: The findings show the high level of order management in these organisations which are the results of accessing to the right and timely information. This study would give invaluable information to all researchers who investigate the impact of order prediction in fulfilling organisational activities.

[1]  Z. Drezner,et al.  Quantifying the Bullwhip E ect in a Simple Supply Chain : The Impact of Forecasting , Lead Times and Information , 2007 .

[2]  C. Moat.  Turning crisis into opportunity. , 2004 .

[3]  J. Winch,et al.  Supply Chain Management: Strategy, Planning, and Operation , 2003 .

[4]  Linda T. Kohn,et al.  Methods in Case Study Analysis , 1997 .

[5]  N. Calvo,et al.  Turning Crisis into Opportunity. , 2012 .

[6]  E. Powell Robinson,et al.  Information sharing and coordination in make-to-order supply chains , 2005 .

[7]  P. Radhakrishnan,et al.  Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management , 2009 .

[8]  Michael Wagner,et al.  Forecasting Daily Demand in Cash Supply Chains , 2010 .

[9]  David C. Wheeler,et al.  The Automobile Industry , 1990 .

[10]  Kuan Yew Wong,et al.  Supply chain performance measurement system using DEA modeling , 2007, Ind. Manag. Data Syst..

[11]  Samuel H. Huang,et al.  Designing supply chains: Towards theory development , 2006 .

[12]  R. C. Epstein,et al.  The automobile industry , 1928 .

[13]  Benita M. Beamon,et al.  A multi-objective approach to simultaneous strategic and operational planning in supply chain design , 2000 .

[14]  M. J. Naude.  Supply chain management problems experienced by South African automotive component manufacturers , 2009 .

[15]  Frank Y. Chen,et al.  Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information. , 2000 .

[16]  Mohd Nizam Ab Rahman,et al.  Cutting down the Difficulties of SCM Implementation: A Comparison between Iranian and Malaysian Companies , 2010 .

[17]  Chiang Wang,et al.  The Influence of Information Sharing on Supply Chain Management , 2010 .

[18]  Mark S. Fox,et al.  Agent-Oriented Supply-Chain Management , 2000 .

[19]  S. Chopra,et al.  Supply Chain Management: Strategy, Planning & Operation , 2007 .

[20]  Ahmad Rasdan Ismail,et al.  Barriers of supply chain management implementation in manufacturing companies: a comparison between Iranian and Malaysian companies , 2010 .

[21]  Maria Fasli,et al.  Adaptive strategies for predicting bidding prices in supply chain management , 2008, ICEC.

[22]  Mohd Rosli Bin Mohamad.  The Automobile industry and performance of Malaysian auto production , 2006 .