An information‐theoretic methodology for measuring the operational complexity of supplier‐customer systems

In a dynamic environment such as the supply chain, even basic supplier‐customer systems with structurally simple information and material flow formations have a tendency to exhibit operational complexity. The operational complexity of supplier‐customer systems is primarily characterised by the uncertainty of the system. As the operational complexity of a system increases there is an associated increase in the amount of information required to monitor and manage that system. Based on this understanding, a novel information‐theoretic entropy‐based methodology for measuring and analysing the operational complexity of supplier‐customer systems has been developed. This paper makes contributions in the theoretical, conceptual and practical developments of the methodology. The methodology can quantitatively detect and prioritise operational complexity hotspots. At the interface, the framework can identify and quantify the transfer of operational complexity. Within the internal manufacturing system, the framework...

[1]  Kathleen Foley Curley,et al.  The impact of knowledge and technology complexity on information systems development , 1995 .

[2]  P. V. Beek,et al.  Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty , 1998 .

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

[4]  T. Kessler,et al.  Aligning the supply chain operations reference (SCOR) model with enterprise applications , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[5]  R. Yin Case Study Research: Design and Methods , 1984 .

[6]  Janet Efstathiou,et al.  Information complexity as a driver of emergent phenomena in a business community , 1999 .

[7]  Janet Efstathiou,et al.  Applying and assessing two methods for measuring complexity in manufacturing , 1998, J. Oper. Res. Soc..

[8]  R. Wilding The supply chain complexity triangle: Uncertainty generation in the supply chain , 1998 .

[9]  C. Harland Supply Chain Management: Relationships, Chains and Networks , 1996 .

[10]  Benita M. Beamon,et al.  Measuring supply chain performance , 1999 .

[11]  S. Disney,et al.  Speeding up the progress curve towards effective supply chain management , 2000 .

[12]  Stephen Michael Disney,et al.  The uncertainty circle as a value stream audit tool: A case study to identify the BPR requirements of the European automotive sector , 2000 .

[13]  P. van Beek,et al.  Supply chain management in food chains: improving performance by reducing uncertaintyPaper presented to the Seventh International Special Conference of IFORS: `Information Systems in Logistics and Transportation', Gothenburg, Sweden, 16–18 June 1997. , 1998 .

[14]  G Frizelle,et al.  Measuring complexity as an aid to developing operational strategy , 1995 .

[15]  Tore Hundsnes,et al.  The management of complexity , 2000 .

[16]  Mohammed M. Naim,et al.  The System Simplification Approach in Understanding the Dynamic Behaviour of a Manufacturing Supply Chain , 1992 .

[17]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[18]  T. Davis Effective supply chain management , 2020, Strategic Direction.