A general framework for comparing operating policies in manufacturing cells

A general framework to describe operating policies in manufacturing cells is presented. A policy can be characterized by assigning appropriate values to a set of descriptive parameters. System configuration is described by one set of parameters and operating policies by another. Examples are presented to illustrate the choice of parameter values. The framework forms the basis for a general-purpose discrete-event simulator. This simulator is used to study various operating philosophies under a wide variety of operating environments.

[1]  Manoj K. Malhotra,et al.  An evaluation of worker assignment policies in dual resource-constrained job shops with heterogeneous resources and worker transfer delays , 1994 .

[2]  Ronald G. Asktn,et al.  A cost-based heuristic for group technology configuration† , 1987 .

[3]  Rosser T. Nelson,et al.  A Simulation of Labor Efficiency and Centralized Assignment in a Production Model , 1970 .

[4]  Donald D. Eisenstein,et al.  A Production Line that Balances Itself , 1996, Oper. Res..

[5]  Saifallah Benjaafar,et al.  Machine sharing in cellular manufacturing systems , 1995 .

[6]  Don T. Phillips,et al.  GERTS QR: A Model for Multi-Resource Constrained Queueing Systems Part II: An Analysis of Parallel-Channel, Dual-Resource Constrained Queueing Systems with Homogeneous Resources , 1975 .

[7]  Ronald G. Askin,et al.  Model for the dedicated cell loading policy for manufacturing cells , 1996 .

[8]  Gary L. Hogg,et al.  GERTS QR: A Model for Multi-Resource Constrained Queueing Systems Part I: Concepts, Notation, and Examples , 1975 .

[9]  James K. Weeks,et al.  A Simulation Study of Operating Policies in a Hypothetical Dual-Constrained Job Shop , 1976 .

[10]  Ronald G. Askin,et al.  A comparison of scheduling philosophies for manufacturing cells , 1993 .

[11]  Charles T. Mosier,et al.  Analysis of group technology scheduling heuristics , 1984 .

[12]  R. T. Nelson Labor and Machine Limited Production Systems , 1967 .

[13]  Roberta S. Russell,et al.  A Study of Labor Allocation Strategies in Cellular Manufacturing , 1991 .

[14]  Asoo J. Vakharia,et al.  Designing a Cellular Manufacturing System: A Materials Flow Approach Based on Operation Sequences , 1990 .

[15]  Ronald G. Askin,et al.  A Hamiltonian path approach to reordering the part-machine matrix for cellular manufacturing , 1991 .

[16]  Mandyam M. Srinivasan An Approximation for Mean Waiting Times in Cyclic Server Systems with Nonexhaustive Service , 1988, Perform. Evaluation.

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

[18]  Roberta S. Russell,et al.  Workload vs scheduling policies in a dual-resource constrained job shop , 1984, Comput. Oper. Res..

[19]  Keith L. McRoberts,et al.  On scheduling in a GT environment , 1982 .

[20]  Farzad Mahmoodi,et al.  A comparison of exhaustive and non-exhaustive group scheduling heuristics in a manufacturing cell , 1991 .

[21]  J. King Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm , 1980 .