Supply Chain Dynamics—The Change Engineering Challenge of the Mid 1990s

Much has been written concerning the supply chain demand amplification problem, best described by the ‘law of industrial dynamics’. Broadly speaking, if a supply chain can find a way to fluctuate, it will. The paper defines supply chains and reviews their current state of development. By way of a simulation example, the importance of good, shared, information flow is highlighted, as are several other strategies that lie more within the control of individual businesses. Good supply chain operation requires adequate design, led by a product champion committed to systems change. Persuasive evidence to support the product champion is therefore offered. Examples include internally generated demand amplification caused by human schedulers; an industrial supply chain case history; supply chain redesign via simulation; and a review of a proposed effectiveness framework which offers the possibility of integrating both modelling and design phases. The methodologies that are described herein may be universally applied to any industrial or commercial sector in which there is a value-added process. They have found great favour in the automotive industry, which is manifestly an area of endeavour where customer selectivity leads directly to the ‘demand chain’ viewpoint. However, a health care supply chain example also appears in the paper because it contains an important feature which could be duplicated to great advantage in many other applications. This is the opportunity taken to build customer-driven ‘phase advance’ or predictive capability into the system in order to improve the flow of both orders and products.

[1]  Mohamed Mohamed Naim,et al.  Smoothing Supply Chain Dynamics , 1991 .

[2]  D. Sterman,et al.  Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .

[3]  John B. Houlihan International supply chain management , 1985 .

[4]  Denis Royston Towill,et al.  The application of filter theory to the study of supply chain dynamics , 1994 .

[5]  D. R. Towill The dynamic analysis approach to manufacturing systems design , 1989 .

[6]  John L. Burbidge,et al.  The "new approach" to production , 1961 .

[7]  M. Naim,et al.  Industrial Dynamics Simulation Models in the Design of Supply Chains , 1992 .

[8]  Denis Royston Towill,et al.  The use of expert systems in the design of multi-echelon production distribution systems , 1988 .

[9]  M. Naim,et al.  Supply chain dynamics , 1991 .

[10]  J. Parnaby,et al.  A systems approach to the implementation of JIT methodologies in Lucas Industries , 1988 .

[11]  G. Stevens Integrating the Supply Chain , 1989 .

[12]  C. Jones,et al.  Effective framework for supply chain management , 1990 .

[13]  Alan Braithwaite,et al.  Enhancing Supply Chain Efficiency ‐ The Strategic Lead Time Approach , 1990 .

[14]  T. Jones,et al.  Using Inventory for Competitive Advantage through Supply Chain Management , 1985 .

[15]  B. D. Sivazlian,et al.  Dynamic analysis of multi-echelon supply systems , 1978 .

[16]  Anthony N. Godwin,et al.  An assessment of the IDEF notations as descriptive tools , 1989, Inf. Syst..

[17]  Denis Royston Towill,et al.  Engineering change; or is it change engineering? A personal perspective , 1991 .