Lead‐time Models of Business Processes

In recent years, time‐based competition (TBC) has drawn the attention of several practitioners and academicians. Much evidence has been put forward from case studies in order to show the benefits that derive from time compression. Nevertheless, there is a lack of conceptual models and operating tools to support lead‐time reduction. Provides a conceptual framework for modelling the lead time of business processes in order to design effective re‐engineering. Two levels of lead‐time modelling have been identified: an aggregate level, which accounts for the relationships between lead times of different phases of a process, and a detailed one, which allows the mechanisms of lead‐time making to be clearly understood. Reviews existing time models and proposes two new detailed models in order to cope with the growing need for process re‐engineering. Presents these models in terms of time components and composition laws. Suggests a process taxonomy to select the suitable lead‐time models depending on the process c...

[1]  William L. Berry,et al.  Manufacturing Planning and Control Systems , 1984 .

[2]  Joseph D. Blackburn,et al.  Time-based competition : the next battleground in American manufacturing , 1991 .

[3]  George Stalk,et al.  Japan's dark side of time , 1993 .

[4]  Pierre Eiglier,et al.  Servuction : le marketing des services , 1987 .

[5]  H. Grünwald,et al.  On the choice of a production control system , 1980 .

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

[7]  A. Griffin.  Metrics for Measuring Product Development Cycle Time , 1993 .

[8]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[9]  R. Maull,et al.  Business Process Re‐engineering , 1994 .

[10]  G. W. Plossl,et al.  Throughput time control , 1988 .

[11]  R. Schonberger.  Japanese manufacturing techniques : nine hidden lessons simplicity , 1982 .

[12]  Preston G. Smith,et al.  Developing products in half the time , 1995 .

[13]  Carlo Ghezzi,et al.  A Unified High-Level Petri Net Formalism for Time-Critical Systems , 1991, IEEE Trans. Software Eng..

[14]  R. Merrills.  How Northern Telecom competes on time. , 1989, Harvard business review.

[15]  Michael Hammer,et al.  Reengineering Work: Don’t Automate, Obliterate , 1990 .

[16]  Emilio Bartezzaghi,et al.  The Impact of Just‐in‐time on Production System Performance: An Analytical Framework , 1989 .

[17]  F Turco,et al.  Success Measure of Just-in-Time: Shifting Manufacturing Trade-Offs. A Field Research in Italy , 1991 .

[18]  R. L. Price,et al.  The return map: tracking product teams. , 1991, Harvard business review.

[19]  J. Little.  A Proof for the Queuing Formula: L = λW , 1961 .

[20]  Uday S. Karmarkar,et al.  Lot Sizes, Lead Times and In-Process Inventories , 1987 .

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

[22]  Timothy D. Fry.  Controlling Input: The Real Key to Shorter Lead Times , 1990 .

[23]  Phillip S. Mitchell.  Japanese Manufacturing Techniques: Nine Hidden Lessons in Simplicity , 1983 .

[24]  J. Gupta,et al.  Is Time a Competitive Weapon among Manufacturing Firms , 1993 .

[25]  R. Kaplan,et al.  Core process redesign , 1991 .

[26]  J. L. Bower,et al.  Fast-Cycle Capability for Competitive Power , 1988 .

[27]  James D. Thompson.  Organizations in Action , 1967 .

[28]  N. Karagozoglu,et al.  Time‐Based Management of the New Product Development Process , 1993 .

[29]  Jack R. Meredith,et al.  Project Management: A Managerial Approach , 1989 .