The effects of schedule volatility on supply chain performance

Schedule volatility is an unfortunate fact of life facing most suppliers of both products and services. In this paper, the authors are concerned with establishing the magnitude of the problem faced and the resultant effects on supply chain performance. Empirical data collected from 59 value streams are statistically analysed to investigate the negative effects of volatile customer schedules on performance. The evidence has been acquired predominantly via the rigorous site-based Quick Scan Audit Methodology. For each value stream, the forecast error is evaluated, which confirms the excessive volatility of the orders placed by many customers. A comparison between the automotive and non-automotive supply chains is conducted to assess the generic nature of the resultant relationships. The authors have concluded that volatility is a universal problem not confined to particular industries. Hence it strengthens the viewpoint that solutions initially proposed for the automotive sector may well find successful application elsewhere.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
• Supplemental Notes:
  • Abstract reprinted with permission from Taylor & Francis
• Authors:
  • Childerhouse, P
  • Disney, S M
  • Towill, D R
• Publication Date: 2009-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 313-328
• Serial:
  • International Journal of Logistics Research and Applications
  • Volume: 12
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1367-5567
  • EISSN: 1469-848X
  • Serial URL: http://www.tandfonline.com/toc/cjol20/current

Subject/Index Terms

• TRT Terms: Automobile industry; Evaluation and assessment; Forecasting; Schedules; Supply chain management
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01140907
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 29 2009 9:03AM