Optimal hybrid push/pull control strategies for a parallel multistage system: Part II

A multistage production/inventory system is modelled. The system structure, which has the form of an assembly network, is abstracted from the production process of a typical integrated iron and steel works. The system is modelled as a Markov Decision Process (MDP). Combinations of Just-In-Time (pull) and MRP (push) policies are used as alternatives in the MDP. Optimal hybrid strategies are developed. In part II, we extend our observations to a more general case.

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

[2]  John R. Beaumont,et al.  Large-Scale Systems: Modeling and Control , 1983 .

[3]  Peter O'Grady,et al.  Kanban controlled pull systems: an analytic approach , 1989 .

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

[5]  Gary J. Koehler,et al.  Computation techniques for large scale undiscounted markov decision processes , 1979 .

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

[7]  Gabriel R. Bitran,et al.  A mathematical programming approach to a deterministic Kanban system , 1987 .

[8]  Ronald A. Howard,et al.  Dynamic Programming and Markov Processes , 1960 .

[9]  Loren Paul Rees,et al.  A mathematical programming approach for determining workcentre lotsizes in a just-in-time system with signal Kanbans , 1990 .

[10]  Thom J. Hodgson,et al.  RAPID CONVERGENCE TECHNIQUES FOR MARKOV DECISION PROCESSES , 1975 .

[11]  Madan G. Singh,et al.  Systems: Decomposition, optimisation, and control , 1978 .

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

[13]  David G. Luenberger,et al.  Linear and nonlinear programming , 1984 .

[14]  Loren Paul Rees,et al.  A SIMULATION ANALYSIS OF THE JAPANESE JUST‐IN‐TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE, MULTISTAGE PRODUCTION SYSTEM , 1983 .

[15]  Bhaba R. Sarker,et al.  The performance of push and pull systems: a simulation and comparative study , 1989 .

[16]  Thom J. Hodgson,et al.  A methodology for computation reduction for specially structured large scale Markov decision problems , 1988 .

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

[18]  Stephen N. Chapman,et al.  Just-In-Time supplier inventory: an empirical implementation model , 1989 .

[19]  R. Bellman.  Dynamic programming. , 1957, Science.