Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

The effects of schedule volatility on supply chain performance

Childerhouse, P., Disney, Stephen Michael and Towill, Denis Royston 2009. The effects of schedule volatility on supply chain performance. International Journal of Logistics Research and Applications 12 (4) , pp. 313-328. 10.1080/13675560903076206

PDF - Accepted Post-Print Version
Download (352kB) | Preview


Schedule volatility is an unfortunate fact of life facing most suppliers of both products and services. In this paper, we 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. We 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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HF Commerce
Uncontrolled Keywords: Supply chain management ; Empirical case investigation ; Schedule volatility ; Automotive vs. non-automotive ; Performance evaluation.
Publisher: Taylor & Francis
ISSN: 1367-5567
Date of First Compliant Deposit: 16 May 2016
Last Modified: 10 Mar 2020 13:47

Citation Data

Cited 5 times in Google Scholar. View in Google Scholar

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics