Setting minimum performance levels for two-card kanban-controlled lines

References

• BERKLEY , B. J. , 1991 , Tandem queues and kanban-controlled lines . International Journal of Production Research , 29 ( 10 ), 2057 – 2081 .
   Web of Science ®Google Scholar
• BERKLEY , B. J. , 1992 , A review of the kanban production control research literature . Production and Operations Management , forthcoming .
   Google Scholar
• BERKLEY , B. J. , and KIRAN , A. S. , 1991 , A simulation study of sequencing rules in a kanban-controlled flow shop . Decision Sciences , 22 ( 3 ), 559 – 582 .
   Web of Science ®Google Scholar
• CRAWFORD , K. M. , BLACKSTONE , J. H. , and Cox , J. F. , 1988 , A study of JIT implementation and operating problems . International Journal of Production Research , 26 ] ( 9 ), 1561 – 1568 .
   Web of Science ®Google Scholar
• CRAWFORD , K. M. , and Cox , J. F. , 1990 , Designing performance measurement systems for just-in-time operations . International Journal of Production Research , 28 ( 11 ), 2025 – 2036 .
   Web of Science ®Google Scholar
• GUPTA , Y. P. , and GUPTA , M. G. , 1989 , A system dynamics model for a multi-stage multi-line dual-card JIT-kanban system . International Journal of Production Research , 27 ( 2 ), 309 – 352 .
   Web of Science ®Google Scholar
• KIM , T. , 1985 , Just-in-time manufacturing system a periodic pull system . International Journal of Production Research , 23 ( 3 ), 553 – 562 .
   Web of Science ®Google Scholar
• KIMURA , O. , and TERADA , H. , 1981 , Design and analysis of pull system, a method of multi-stage production control . International Journal of Production Research , 19 ( 3 ), 241 – 253 .
   Web of Science ®Google Scholar
• LEE , L. C. , 1987 , Parametric appraisal of the JIT system . International Journal of Production Research , 25 ( 10 ), 1415 – 1429 .
   Web of Science ®Google Scholar
• LEE , L. C. , and SEAH , K. H. W. , 1988 , JIT and the effects of varying process and set-up times . International Journal of Operations and Production Management , 8 ( 1 ), 19 – 35 .
   Google Scholar
• MIYAZAKI , S. , OHTA , H. , and NISHIYAMA , N. , 1988 , The optimal operation planning of kanban to minimize the total operation cost . International Journal of Production Research , 26 ( 10 ), 1605 – 1611 .
   Web of Science ®Google Scholar
• MONDEN , Y. , 1983 , Toyota Production System Practical Approach to Production Management ( Atlanta , GA Industrial Engineering and Management Press ).
   Google Scholar
• PHILIPOOM , P. R. , REES , L. P. , TAYLOR , B. W. , and HUANG , P. Y. , 1987 , An investigation of the factors influencing the number of kanbans required in the implementation of the JIT technique with kanbans . International Journal of Production Research , 25 ( 3 ), 457 – 472 .
   Web of Science ®Google Scholar
• PRITSKER , A. A. B. , 1986 , Introduction to Simulation and SLAM II ( West Lafayette , IN Systems Publishing ).
   Google Scholar
• SARKER , B. R. , and HARRIS , R. D. , 1988 , The effect of imbalance in a just-in-time production system a simulation study . International Journal of Production Research , 26 ( 1 ), 1 – 18 .
   Web of Science ®Google Scholar
• So , K. C. , and PINAULT , S. C. , 1988 , Allocating buffer storages in a pull system . International Journal of Production Research , 26 , (12), 1959 - 1980 .
   Google Scholar
• SUGIMORI , Y. , KUSUNOKI , K. , CHO , F. , and UCHIKAWA , S. , 1977 , Toyota production system and kanban system materialization of just-in-time and respect-for-human system. International Journal of Production Research , 15 ( 6 ), 553 – 564 .
   Web of Science ®Google Scholar
• UZSOY , R. , and MARTIN-VEGA , L. A. , 1990 , Modelling kanban-based demand-pull systems a survey and critique . Manufacturing Review , 3 ( 3 ), 155 – 160 .
   Google Scholar