Process variability and its effect on plant performance

This report presents the preliminary findings of a research study to determine the factors which enable a manufacturing plant to simultaneously achieve high labour productivity, fast, reliable delivery and high quality consistency. The conclusions are based on analysis of a database containing details of 953 manufacturing plants in the UK. Based on the performance measures mentioned above, a composite performance measure was calculated for each plant in the database. The plants were then divided into groups of high performers, medium performers and low performers. Using statistical analysis, those differences between the high and low‐performing plants that were significant were identified. The main factors differentiating high‐performing plants from the rest were those associated with low process variability, high schedule stability and more reliable deliveries by suppliers.

[1]  C. Armistead,et al.  The Impact of Supply Chain Integration on Operating Performance , 1993 .

[2]  Willard I. Zangwill The Limits of Japanese Production Theory , 1992 .

[3]  Richard J. Schonberger,et al.  World Class Manufacturing: The Next Decade , 1986 .

[4]  Jim Todd,et al.  World-Class Manufacturing , 1996 .

[5]  Alan Harrison,et al.  An Investigation of the Impact of Schedule Stability on Supplier Responsiveness , 1996 .

[6]  Roy D. Shapiro,et al.  Implications of Cost-Service Trade-offs on Industry Logistics Structures , 1985 .

[7]  Wickham Skinner,et al.  The Productivity Paradox , 1986, The Productivity-Inclusiveness Nexus.

[8]  N. Oliver,et al.  World Class Manufacturing: Further Evidence in the Lean Production Debate1 , 1994 .

[9]  S. Wheelwright,et al.  Restoring Our Competitive Edge: Competing Through Manufacturing , 1984 .

[10]  Taiichi Ohno,et al.  Toyota Production System : Beyond Large-Scale Production , 1988 .

[11]  Loren Paul Rees,et al.  A SIMULATION ANALYSIS OF THE JAPANESE JUST‐IN‐TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE, MULTISTAGE PRODUCTION SYSTEM , 1983 .

[12]  John G. Wacker,et al.  The complementary nature of manufacturing goals by their relationship to throughput time: A theory of internal variability of production systems , 1987 .

[13]  W. Deming Quality, productivity, and competitive position , 1982 .

[14]  Kate Blackmon,et al.  The Competitiveness of European Manufacturing — A Four Country Study , 1995 .

[15]  P. R. Richardson,et al.  A Strategic Approach to Evaluating Manufacturing Performance , 1985 .

[16]  Heinz Häfner Lot sizing and throughput times in a job shop , 1991 .

[17]  K.H.W. Seah,et al.  JIT and the Effects of Varying Process and Set‐Up Times , 1988 .

[18]  Mary Jo Maffei,et al.  Dealing with the Uncertainties of Manufacturing: Flexibility, Buffers and Integration , 1993 .

[19]  T. Hout,et al.  Competing Against Time , 1990 .

[20]  A. Meyer,et al.  Lasting Improvements in Manufacturing Performance: In Search of a New Theory , 1990 .

[21]  G. Stalk Time-The Next Source of Competitive Advantage , 1988 .

[22]  Paul Forrester,et al.  Product variety and just-in-time conflict and challenge , 1994 .

[23]  Jennifer L. Hartnett,et al.  Managing Quality: The Strategic and Competitive Edge , 1988 .

[24]  Rick L. Wilson,et al.  Planning for Continual Improvement in a Just‐in‐Time Environment , 1993 .

[25]  Joseph Moses Juran,et al.  Quality-control handbook , 1951 .