Multi-stage, pull-type production/inventory systems

A production/inventory system consisting of multiple stages in series with arbitrary processing times and with intermediate buffer inventories is considered. There is a finished product warehouse at which demand occurs for the finished products according to a compound Poisson process. Inventory levels of both intermediate and finished stocks are controlled by a continuous-review (R, r) inventory control policy. Production at a stage continues until the inventory level in the downstream buffer reaches its target value R. Once the inventory level drops to its reorder level r, the stage undergoes a set-up and production resumes. An approximation method is developed to obtain the steady-state performance measures of the system. Numerical examples are presented to show the accuracy of the proposed method.

[1]  C. Harris,et al.  Likelihood estimation for generalized mixed exponential distributions , 1987 .

[2]  Tayfur Altiok,et al.  Bounds for throughput in production/inventory systems in series with deterministic processing times , 1989 .

[3]  Thom J. Hodgson An Analytical Model of a Two-Product, One-Machine, Production-Inventory System , 1972 .

[4]  Tayfur Altiok (R, r) Production/Inventory Systems , 1989, Oper. Res..

[5]  Eginhard J. Muth,et al.  A General Model of a Production Line with Intermediate Buffer and Station Breakdown , 1987 .

[6]  Levent Gun Tandem Queueing Systems Subject to Blocking with Phase Type Servers: Analytic Solutions and Approximations , 1987 .

[7]  Armand M. Makowski,et al.  An Approximation Method for General Tandem Queueing Systems Subject to Blocking , 1987 .

[8]  Michael A. Johnson,et al.  Matching moments to phase distri-butions: mixtures of Erlang distribution of common order , 1989 .

[9]  Stephen C. Graves,et al.  Production/inventory systems with a stochastic production rate under a continuous review policy , 1981, Comput. Oper. Res..

[10]  Tayfur Altiok,et al.  Analysis of production lines with general service times and finite buffers: A two-node decomposition approach , 1989 .

[11]  Tayfur Altiok,et al.  SINGLE-STAGE, MULTI-PRODUCT PRODUCTION/INVENTORY SYSTEMS WITH BACKORDERS , 1994 .

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

[13]  Stanley B. Gershwin,et al.  An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking , 1987, Oper. Res..

[14]  J. Wijngaard The Effect of Interstage Buffer Storage on the Output of Two Unreliable Production Units in Series, with Different Production Rates , 1979 .

[15]  Carl M. Harris,et al.  Approximation with generalized hyperexponential distributions: Weak convergence results , 1986, Queueing Syst. Theory Appl..

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

[17]  Yves Dallery,et al.  An efficient algorithm for analysis of transfer lines with unreliable machines and finite buffers , 1988 .

[18]  Stephen C. Graves,et al.  Technical Note - A One-Product Production/Inventory Problem under Continuous Review Policy , 1980, Oper. Res..

[19]  Tayfur Altiok,et al.  Single‐stage, multi‐product production/inventory systems with lost sales , 1995 .

[20]  Uday S. Karmarkar,et al.  Batching Policy in Kanban Systems , 1989 .

[21]  Harry G. Perros,et al.  An approximate analysis of open tandem queueing networks with blocking and general service times , 1990 .

[22]  T. Altiok On the Phase-Type Approximations of General Distributions , 1985 .

[23]  G. T. Artamonov Productivity of a two-instrument discrete processing line in the presence of failures , 1976, Cybernetics.

[24]  J. A. Buzacott,et al.  AUTOMATIC TRANSFER LINES WITH BUFFER STOCKS , 1967 .

[25]  Stanley B. Gershwin,et al.  Modeling and Analysis of Three-Stage Transfer Lines with Unreliable Machines and Finite Buffers , 1983, Oper. Res..

[26]  Xiaolan Xie,et al.  Approximate analysis of transfer lines with unreliable machines and finite buffers , 1989 .

[27]  Mandyam M. Srinivasan,et al.  The (s,S) policy for the production/inventory system with compound Poisson demands , 1988 .

[28]  John A. Buzacott,et al.  The Effect of Station Breakdowns and Random Processing Times on the Capacity of Flow Lines with In-Process Storage , 1972 .

[29]  J. George Shanthikumar,et al.  An Approximate Model of Multistage Automatic Transfer Lines with Possible Scrapping Of Workpieces , 1987 .

[30]  Tayfur Altiok,et al.  Approximate Analysis of Queues in Series with Phase-Type Service Times and Blocking , 1989, Oper. Res..

[31]  Edward Ignall,et al.  The Output of A Two-Stage System with Unreliable Machines and Limited Storage , 1977 .

[32]  Marcel F. Neuts,et al.  Matrix-geometric solutions in stochastic models - an algorithmic approach , 1982 .

[33]  J. G. Shanthikumar,et al.  Exact and Approximate Solutions to Two-Stage Transfer Lines with General Uptime and Downtime Distributions , 1987 .

[34]  Matthew J. Sobel,et al.  Optimal Average-Cost Policy for a Queue with Start-Up and Shut-Down Costs , 1969, Oper. Res..

[35]  Daniel P. Heyman,et al.  Optimal Operating Policies for M/G/1 Queuing Systems , 1968, Oper. Res..

[36]  Tayfur Altiok Queues with group arrivals and exhaustive service discipline , 1987, Queueing Syst. Theory Appl..

[37]  Debasis Mitra,et al.  Analysis of a Kanban discipline for cell coordination in production lines , 1990 .