Exploiting the Order Book for Mass Customized Manufacturing Control Systems With Capacity Limitations

Customer specific requirements is one of the key drivers in a supply chain strategy based on mass customization. At the same time there are intense pressure on price and short delivery lead times providing a complex environment for managing the supply chain. The complexity can be reduced by introducing the concept of a customer order decoupling point (CODP). The CODP separates the supply chain into two key processes that can be categorized as make-to-order (MTO) and make-to-stock (MTS) and constitutes the two key building blocks of a system based on the mass customization concept. The dynamic properties of the MTS environment have been extensively researched using the automatic pipeline-, inventory-, and order-based production control system (APIOBPCS) archetype. In contrast to MTS systems, the customer facing MTO process, which is usually exposed to a more volatile demand stream suitable for an agile strategy, is less well investigated. Agility does, however, frequently not mean that infinite capacity is available but that there is some surplus capacity available and that the capacity can be adapted to the customer requirements in certain time frames. When the adaptation is not instant but requires some time to take effect the delay creates a dynamic backlog represented by the order book which affects the delivery lead time. Since controlling lead times is a key factor in providing reliable delivery promises an order book control logic is introduced. It is also shown that the new MTO model of the customer facing part of a mass customization system is an extension to the well established APIOBPCS framework

[1]  J. Forrester Industrial Dynamics , 1997 .

[2]  G. Buxey The myth of aggregate planning , 1990 .

[3]  Denis Royston Towill,et al.  A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .

[4]  C. Hart Mass customization: conceptual underpinnings, opportunities and limits , 1995 .

[5]  S. Hoekstra,et al.  Integral Logistic Structures: Developing Customer-Oriented Goods Flow , 1992 .

[6]  Rasaratnam Logendran,et al.  Aggregate production planning — A survey of models and methodologies , 1992 .

[7]  Joakim Wikner,et al.  Inventory trigger control policies developed in terms of control theory , 1996 .

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

[9]  Jens Ove Riis,et al.  Managing seasonal fluctuations in demand. Practice and experience of selected industrial enterprises , 1995 .

[10]  Mohamed Mohamed Naim,et al.  Dynamic analysis of a WIP compensated decision support system , 1994 .

[11]  R. V. Hoek,et al.  The rediscovery of postponement a literature review and directions for research , 2001 .

[12]  S. Rajagopalan,et al.  Make to Order or Make to Stock: Model and Application , 2002, Manag. Sci..

[13]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[14]  Hal Mather How to Profitably Delight Your Customers , 1998 .

[15]  Keith Tizzard,et al.  Management System Dynamics , 1977 .

[16]  Luk N. Van Wassenhove,et al.  Trade-offs? What Trade-offs? Competence and Competitiveness in Manufacturing Strategy , 1993 .

[17]  Stephen Michael Disney,et al.  Dynamic simulation modelling for lean logistics , 1997 .

[18]  Mohamed Mohamed Naim,et al.  Utilising a production system archetype to attenuate bullwhip in a grocery supply chain , 2003 .

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

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

[21]  Denis Royston Towill,et al.  A knowledge based simulation framework for production-distribution system design , 1990 .

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

[23]  Urban Wemmerlöv,et al.  Assemble-to-order manufacturing: Implications for materials management , 1984 .

[24]  V. Donk Make to stock or make to order: the decoupling point in the food processing industries , 2001 .

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

[26]  Kenneth Preiss,et al.  The effect of time delays in make-to-order information on the dynamics of supply chains , 2002, Int. J. Manuf. Technol. Manag..

[27]  Z. K. Weng,et al.  Strategies for integrating lead time and customer-order decisions , 1999 .

[28]  G. Zäpfel Customer-order-driven production: An economical concept for responding to demand uncertainty? , 1998 .

[29]  Jing-Sheng Song Order-Based Backorders and Their Implications in Multi-Item Inventory Systems , 2002, Manag. Sci..

[30]  Gregory A. DeCroix,et al.  Make-to-order versus make-to-stock in a production-inventory system with general production times , 1998 .

[31]  Denis Royston Towill,et al.  Dynamic analysis of an inventory and order based production control system , 1982 .

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

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

[34]  William L. Berry,et al.  Approaches to mass customization: configurations and empirical validation , 2000 .

[35]  G. N. Evans,et al.  Application of a simulation methodology to the redesign of a logistical control system , 1998 .

[36]  G. N. Evans,et al.  Analysis and design of an adaptive minimum reasonable inventory control system , 1997 .

[37]  Jane Edghill,et al.  Dynamic Behaviour of Fundamental Manufacturing System Design Strategies , 1989 .

[38]  C. Hart Future perfect. , 1998, Nursing times.

[39]  Robert S. Collins Sony in Poland: A case study , 1993 .

[40]  C. Leggett,et al.  Management system dynamics: R.G. COYLE, U.K., 1977, 463 pages, Hardback £16.95, $ 32.00, Paperback £6.95, $ 13.00 , 1977 .

[41]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[42]  Paul H. Zipkin,et al.  Customer-order information, leadtimes, and inventories , 1995 .

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

[44]  Jc Johan Wortmann,et al.  Customer-driven manufacturing , 1996 .

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

[46]  Joakim Wikner,et al.  Mass customization in terms of the customer order decoupling point , 2004 .

[47]  Jan Olhager,et al.  Long-term capacity management: Linking the perspectives from manufacturing strategy and sales and operations planning , 2001 .