Comparing CONWIP, synchronized CONWIP, and Kanban in complex supply chains

Abstract Three types of JIT ordering systems used for supply chain management were quality tested, the Kanban, the original constant work-in-process (CONWIP), and a synchronized CONWIP. The synchronized CONWIP system is described for its ability to handle complicated supply chains, which consist of assembly stages with different lead times. In the system, orders for each process are released while adjusting the lead time of the subsequent process, and the released and processed orders are synchronized during the assembly stages. Practical questions, that is, which system is superior and which parameter affects superiority, were investigated for the three types of systems.

[1]  D. Simchi-Levi,et al.  The Bullwhip Effect: Managerial Insights on the Impact of Forecasting and Information on Variability in a Supply Chain , 1999 .

[2]  Katsuhiko Takahashi,et al.  Comparing integration strategies in production ordering systems , 1996 .

[3]  Asoo J. Vakharia,et al.  Integrated production/distribution planning in supply chains: An invited review , 1999, Eur. J. Oper. Res..

[4]  Shusaku Hiraki,et al.  Pull-Push integration in production ordering systems , 1994 .

[5]  Rakesh Nagi,et al.  A review of integrated analysis of production-distribution systems , 1999 .

[6]  Hau L. Lee,et al.  Information distortion in a supply chain: the bullwhip effect , 1997 .

[7]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[8]  John A. Muckstadt,et al.  A comparison of alternative kanban control mechanisms. II. Experimental results , 1995 .

[9]  Shusaku Hiraki,et al.  Flexibility of production ordering systems , 1994 .

[10]  Katsuhiko Takahashi,et al.  Push, pull, or hybrid control in supply chain management , 2004, Int. J. Comput. Integr. Manuf..

[11]  David L. Woodruff,et al.  CONWIP: a pull alternative to kanban , 1990 .

[12]  Osamu Kimura,et al.  Desiǵn and analysis of Pull System, a method of multi-staǵe production control , 1981 .

[13]  Kannan Srinivasan,et al.  MODELING IMPACTS OF ELECTRONIC DATA INTERCHANGE TECHNOLOGY , 1999 .

[14]  Fangruo Chen,et al.  On (R,NQ) Policies in Serial Inventory Systems , 1999 .

[15]  John A. Muckstadt,et al.  A comparison of alternative kanban control mechanisms. I. Background and structural results , 1995 .

[16]  Srinagesh Gavirneni,et al.  Value of Information Sharing and Comparison with Delayed Differentiation , 1999 .

[17]  Y. Sugimori,et al.  Toyota production system and Kanban system Materialization of just-in-time and respect-for-human system , 1977 .

[18]  Katsuhiko Takahashi,et al.  Ordering alternatives in JIT production systems , 1998 .

[19]  Ananth V. Iyer Modeling the Impact of Information on Inventories , 1999 .