Variations of the kanban system: Literature review and classification

This paper reviews the literature regarding variations of the kanban system, i.e. the aim is to study only the modified kanban systems. Thirty two different systems were studied and classified according to six categories: the publication year of the paper, the number of original characteristics conserved in the variation, the operational differences between each variation and the original kanban system, the advantages in relation to the original kanban, the disadvantages in relation to the original kanban, and the way those systems were tested. A brief summary of each adaptation is shown, integrating the scattered efforts undertaken by the authors with the aim of improving the kanban system and adjusting it to the new and/or distinct necessities of the production systems. Our analysis of the papers, using the proposed classification method, provides useful insights on the anatomy of the literature about variations of the kanban system. It was found that, among other topics, there is a great difference between the quantity of theoretical and practical proposals.

[1]  Tae-Moon Kim.  Just-in-time manufacturing system: a periodic pull system , 1985 .

[2]  Valerie Tardif,et al.  An adaptive approach to controlling kanban systems , 2001, Eur. J. Oper. Res..

[3]  Loren Paul Rees,et al.  Dynamically Adjusting the Number of Kanbans in a Just-in-Time Production System Using Estimated Values of Leadtime , 1987 .

[4]  John B. Kidd,et al.  Toyota Production System , 1993 .

[5]  Yuehwern Yih,et al.  A fuzzy rule-based approach for dynamic control of kanbans in a generic kanban system , 1998 .

[6]  Maria Di Mascolo,et al.  On the design of generalized kanban control systems , 1995 .

[7]  Serge Lambert,et al.  Adaptation of JIT phylosophy and Kanban technique to a small-sized manufacturing firm; a project management approach , 1998 .

[8]  Yves Dallery,et al.  A performance comparison of pull type control mechanisms for multi-stage manufacturing , 2000 .

[9]  Kazuhiro Takeda,et al.  Decentralized scheduling algorithm to improve the rate of production without increase of stocks of intemediates , 2000 .

[10]  Asbjoern M. Bonvik,et al.  A comparison of production-line control mechanisms , 1997 .

[11]  K. Takahashi,et al.  THE EFFECT OF AUTOCORRELATED DEMAND IN JIT PRODUCTION SYSTEMS , 1998 .

[12]  Andrew B. Whinston,et al.  Towards an adaptive Kanban system , 1990 .

[13]  Katsuhiko Takahashi,et al.  Order Release in JIT Production Systems: A Simulation Study , 1996, Simul..

[14]  Marc Gravel,et al.  Using the Kanban in a job shop environment , 1988 .

[15]  Yuehwern Yih,et al.  Determining the number of kanbans and lotsizes in a generic kanban system : a simulated annealing approach , 1994 .

[16]  P. J. Weeda,et al.  A framework for quantitative comparison of production control concepts , 1989 .

[17]  Cathal Heavey,et al.  A comparison of Hybrid Push/Pull and CONWIP/Pull production inventory control policies , 2004 .

[18]  Yves Dallery,et al.  Extended kanban control system: combining kanban and base stock , 2000 .

[19]  K. Takahashi,et al.  Reacting JIT ordering systems to the unstable changes in demand , 1999 .

[20]  Cathal Heavey,et al.  A review and comparison of hybrid and pull-type production control strategies , 2005 .

[21]  Katsuhiko Takahashi.  Comparing reactive Kanban systems , 2003 .

[22]  Kut C. So,et al.  Allocating buffer storages in a pull system , 1988 .

[23]  Surendra M. Gupta,et al.  An algorithm to dynamically adjust the number of Kanbans in stochastic processing times and variable demand environment , 1997 .

[24]  Jose M. Framinan,et al.  Dynamic card controlling in a Conwip system , 2006 .

[25]  Phedon Nicolaides.  Global competitiveness: getting the US back on track , 1991 .

[26]  Jan Riezebos.  Design of POLCA material control systems , 2010 .

[27]  Yves Dallery,et al.  A unified framework for pull control mechanisms in multi‐stage manufacturing systems , 2000, Ann. Oper. Res..

[28]  Larg Weiland,et al.  Advanced Semiconductor Manufacturing Conference , 2002, ASMC 2002.

[29]  Surendra M. Gupta,et al.  Flexible kanban system , 1999 .

[30]  J. A. Buzacott,et al.  Queueing models of Kanban and MRP controlled production systems , 1989 .

[31]  R. John Milne,et al.  Literature review of material flow control mechanisms , 1995 .

[32]  Karen Ka-Leung Moon,et al.  RFID research: An academic literature review (1995–2005) and future research directions , 2008 .

[33]  Andrea Matta,et al.  Analysis of assembly systems controlled with kanbans , 2005, Eur. J. Oper. Res..

[34]  Katsuhiko Takahashi,et al.  Comparing reactive Kanban and reactive CONWIP , 2002 .

[35]  Prashanth B. Nagendra,et al.  MRP/sfx: A kanban-oriented shop floor extension to MRP , 1999 .

[36]  Paula van Veen-Dirks.  Management control and the production environment: A review , 2005 .

[37]  Thom J. Hodgson,et al.  Optimal hybrid push/pull control strategies for a parallel multistage system: Part II , 1991 .

[38]  Nobuto Nakamura,et al.  Concurrent Ordering in JIT Production Systems , 1997 .

[39]  Abraham Seidmann,et al.  Analyzing closed Kanban-controlled assembly systems by iterative aggregation-disaggregation , 1999, Comput. Oper. Res..

[40]  Peter O'Grady,et al.  INTEGRATING KANBAN TYPE PULL SYSTEMS AND MRP TYPE PUSH SYSTEMS: INSIGHTS FROM A MARKOVIAN MODEL , 1992 .

[41]  Yves Dallery,et al.  Multiproduct Kanban-like Control Systems , 2002 .

[42]  Heinrich Kuhn,et al.  Analysis of production control systems kanban and CONWIP , 1996 .

[43]  S. M. Gupta,et al.  Stochastic coloured Petri net (SCPN) models of traditional and flexible kanban systems , 1999 .

[44]  Manoj Kumar Tiwari,et al.  Expert enhanced coloured fuzzy petri net models of traditional, flexible and reconfigurable kanban systems , 2003 .

[45]  Claudine Chaouiya,et al.  The extended kanban control system for production coordination of assembly manufacturing systems , 2000 .

[46]  Michael A. Zazanis,et al.  Push and Pull Production Systems: Issues and Comparisons , 1992, Oper. Res..

[47]  S. Otenti.  A modified Kanban system in a semiconductor manufacturing environment , 1991, [1991 Proceedings] IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop.

[48]  Yuehwern Yih,et al.  Generic kanban systems for dynamic environments , 1994 .

[49]  S. Tayur.  Structural properties and a heuristic for kanban-controlled serial lines , 1993 .

[50]  Jose M. Framinan,et al.  The CONWIP production control system: Review and research issues , 2003 .

[51]  Shigeo Shingo.  A Revolution in Manufacturing: The SMED System , 1985 .

[52]  Michael J. Magazine,et al.  Gated MaxWIP: A strategy for controlling multistage production systems , 2002 .

[53]  Andrew Kusiak,et al.  Manufacturing control with a push-pull approach , 1998 .

[54]  E G A Gaury,et al.  A methodology to customize pull control systems , 2001, J. Oper. Res. Soc..

[55]  Martin K. Starr,et al.  Global competitiveness: Getting the U.S. back on track , 1988 .

[56]  Daniel Sipper,et al.  Production: Planning, Control and Integration , 1997 .

[57]  Surendra M. Gupta,et al.  Adapting just-in-time manufacturing systems to preventive maintenance interruptions , 1998 .

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

[59]  Katsuhiko Takahashi,et al.  Decentralized reactive Kanban system , 2002, Eur. J. Oper. Res..

[60]  Abraham Seidmann,et al.  Regenerative pull (Kanban) production control policies , 1988 .