Comprehensive framework for the development of a supply chain strategy

Current competition among companies is fought through their supply chains. As the performance of the supply chain depends not only on manufacturing and marketing attributes, it becomes necessary to establish a framework upon which to develop a supply chain strategy. The paper presents the rationale and principles of a customer–product–process–resource (CPPR) framework for the simultaneous analysis of the business, supplier, manufacturing, planning, marketing and customer dimensions of a supply chain strategy. The originality of the CPPR framework is that it establishes a set of supply chain structural elements, that when put together determine the degree of alignment of a supply chain strategy. As the main objective of a supply chain strategy is to achieve customer satisfaction as an output of the supply chain operations, the CPPR framework becomes a realignment tool when used in combination with a realignment methodology, which is also presented in the paper.

[1]  Jennifer Blackhurst,et al.  PCDM: a decision support modeling methodology for supply chain, product and process design decisions , 2005 .

[2]  Sebastian K. Fixson,et al.  Product architecture assessment: a tool to link product, process, and supply chain design decisions , 2005 .

[3]  A. C. Márquez Front-end, back-end and integration issues in virtual supply chain dynamics modelling , 2004 .

[4]  Alessandro Persona,et al.  An integrated reference model for production planning and control in SMEs , 2004 .

[5]  I. N. Pujawan,et al.  Assessing supply chain flexibility: a conceptual framework and case study , 2004 .

[6]  Walter W.C. Chung,et al.  Networked enterprise: A new business model for global sourcing , 2004 .

[7]  T. Simatupang,et al.  A benchmarking scheme for supply chain collaboration , 2004 .

[8]  Kuo-Qin Yan,et al.  Identifying the Common and Critical Parts for MTO Products Using a Data Mining Approach , 2004 .

[9]  Jan Olhager,et al.  Strategic positioning of the order penetration point , 2003 .

[10]  J. Miltenburg Manufacturing Strategy: How to Formulate and Implement a Winning Plan, Second Edition , 2003 .

[11]  Patrik Jonsson,et al.  The implications of fit between planning environments and manufacturing planning and control methods , 2003 .

[12]  Robert J. Vokurka,et al.  A conceptual model of supply chain flexibility , 2003, Ind. Manag. Data Syst..

[13]  N. D. Burns,et al.  Implications of postponement for the supply chain , 2003 .

[14]  George Q. Huang,et al.  The impacts of sharing production information on supply chain dynamics: A review of the literature , 2003 .

[15]  R. Maull,et al.  Demand chain management theory: constraints and development from global aerospace supply webs , 2002 .

[16]  Samuel H. Huang,et al.  A product driven approach to manufacturing supply chain selection , 2002 .

[17]  Mary Margaret Weber Measuring supply chain agility in the virtual organization , 2002 .

[18]  Hokey Min,et al.  Supply chain modeling: past, present and future , 2002 .

[19]  F. Persson,et al.  Performance simulation of supply chain designs , 2002 .

[20]  David E. Booth,et al.  Toward a production classification system , 2002, Bus. Process. Manag. J..

[21]  Peter Gibson,et al.  Strategic supply chain development by integration of key global logistical process linkages , 2002 .

[22]  Jan Olhager,et al.  Linking manufacturing strategy decisions on process choice with manufacturing planning and control systems , 2002 .

[23]  François Vernadat,et al.  UEML: Towards a unified enterprise modelling language , 2002 .

[24]  M. Christopher,et al.  An Integrated Model for the Design of Agile Supply Chains. , 2001 .

[25]  Rodney McAdam,et al.  Integrating business processes for global alignment and supply chain management , 2001, Bus. Process. Manag. J..

[26]  D. Towill,et al.  Supply chain migration from lean and functional to agile and customised , 2000 .

[27]  Robert de Souza,et al.  Supply chain dynamics and optimization , 2000 .

[28]  R. James,et al.  Focusing customer demand through manufacturing supply chains by the use of customer focused cells: An appraisal , 2000 .

[29]  D. Towill,et al.  Engineering the leagile supply chain , 2000 .

[30]  Keith Porter,et al.  Manufacturing classifications: relationships with production control systems , 1999 .

[31]  Denis Royston Towill,et al.  Using the Information Decoupling Point to Improve Supply Chain Performance , 1999 .

[32]  Danny Berry,et al.  Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain , 1999 .

[33]  Joseph Sarkis,et al.  A framework for designing efficient value chain networks , 1999 .

[34]  Bert Meijboom,et al.  Production-to-order and international operations : A case study in the clothing industry , 1999 .

[35]  B. Kingsman,et al.  Competitive advantage, customisation and a new taxonomy for non make-to-stock companies , 1999 .

[36]  Benoit Montreuil,et al.  Networked manufacturing:: The impact of information sharing , 1999 .

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

[38]  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 .

[39]  C. Tahon,et al.  A methodology for integrating economic criteria in design and production management decisions , 1998 .

[40]  Peter Sackett,et al.  Customizing manufacturing strategy , 1997 .

[41]  Ilias P. Tatsiopoulos,et al.  An Orders Release reference model as a link between production management and shop floor control software , 1997 .

[42]  Adrian Beesley,et al.  Time compression in the supply chain , 1996 .

[43]  Harry F. de Boer,et al.  Designing market‐oriented production systems: theory and practice , 1995 .

[44]  Ludo Gelders,et al.  Time‐based manufacturing logistics , 1995 .

[45]  T.M.A. Ari Samadhi,et al.  Shared computer‐integrated manufacturing for various types of production environment , 1995 .

[46]  Jc Johan Wortmann,et al.  Future manufacturing systems—towards the extended enterprise , 1995 .

[47]  A. K. Bhattacharya,et al.  Linking manufacturing strategy to the design of a customized hybrid production control system , 1994 .

[48]  Asbjørn Rolstadås,et al.  Beyond Year 2000 - Production Management in the Virtual Company , 1994, Production Management Methods.

[49]  Terry Hill,et al.  Manufacturing Strategy: Text and Cases , 1993 .

[50]  Mark J. Zbaracki,et al.  Strategic decision making , 1992 .

[51]  Boaz Ronen,et al.  The missing link between manufacturing strategy and production planning , 1992 .

[52]  Jc Johan Wortmann Production management systems for one-of-a-kind products , 1992 .

[53]  Marc Wouters,et al.  Economic evaluation of leadtime reduction , 1991 .

[54]  R. Shapiro,et al.  From supply chain to demand chain: the role of lead time reduction in improving demand chain performance , 2004 .

[55]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[56]  L. K. Duclos,et al.  Supply Chain Flexibility : Building a New Model 1 , 2004 .

[57]  A. Gunasekaran,et al.  Software Agents: Enabling Dynamic Supply Chain Management for a Build to Order Product Line , 2002, International Conference on Internet Computing.

[58]  Roger Maull,et al.  The application of generic process models in Business Process Re-engineering , 1995 .