Annals of operations research, production planning and scheduling, automated manufacturing systems:...

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Book Reviews 381 optimization using linguistic quantifiers of objec- tives and fuzzy logic calculation of linguistically quantified propositions. The last part of the book is composed of papers in which the stochastic and the fuzzy approaches are considered together. Here problems are dis- cussed as- similarities and differences between stochastic and possibilistic programming with re- spect to their solution procedure (J.J. Buckley); - limitations, advantages and inconveniences of the FLIP and STRANGE methods (R. Slowinsky and J. Teghem); - conservative and nonconservative ways for mul- tiobjective programming with set valued coeffi- cients (I.M. Stancu-Minasian and St. Tigan). The book is a major step towards understand- ing the differences between the stochastic and fuzzy approaches. Margit Kov~tcs Computer Centre, Lorrnd Ertvrs University, P.O. Box 157, H-1502, Budapest 112, Hungary Peter L. Hammer (ed. in chief) Annals of Operations Research, Production Plan- ning and Scheduling, Automated Manufacturing Systems J.C. Baltzer AG, Basel, 1990, 484 pages, Volume 26, No, 1-4, ISSN 0254 5330 This volume of Annals of Operations Research contains two parts, both of which contain a num- ber of contributions of OR topics related to manufacturing. In the first part, edited by M. Queyranne, and devoted to production planning and scheduling, 13 papers are presented. The emphasis is mainly on the domain of scheduling for single machines and multiple machines. The different papers con- tain a wide variety of approaches to solve different production planning and scheduling problems, some of them analytical in nature, others more heuristic oriented. Among the topics treated we can cite the following: - relaxation for the capacitated Iotsizing problem - hierarchical approaches for planning as well as scheduling - batching and sequencing on a single machine - parallel machine, flow shop and job shop prob- lems. The second part is devoted to automated manufacturing systems and was edited by J.B. Mazzola. Different topics on the application of OR methodology to the design, planning and con- trol of automated systems are presented. This part, with 7 papers in total is divided into four subsections: - modelling production systems (1 paper) - economic evaluation of flexible manufacturing systems (1 paper) -automated manufacturing systems design (2 papers) - production planning and scheduling (3 papers), which again cover a wide spectrum of applica- tions. As with any compilation of papers of this kind, the quality and applicability of the topics treated in the papers differs widely from paper to paper, although in both sections a considerable effort has been made in order to keep the average quality high, including a number of renowned authors and treatment of problems which are of great interest. In general, this volume clearly illustrates the amazing diversity of manufacturing problems which can be solved by a large number of OR techniques, whether exact or approximate. Johan Maes K.U. Leuven - Division of Industrial Management Celestijnenlaan 300 A, 3001 Leuven- Heverlee, Belgium

Transcript of Annals of operations research, production planning and scheduling, automated manufacturing systems:...

Page 1: Annals of operations research, production planning and scheduling, automated manufacturing systems: Peter L. Hammer (ed. in chief) J.C. Baltzer AG, Basel, 1990, 484 pages, Volume 26,

Book Reviews 381

optimization using linguistic quantifiers of objec- tives and fuzzy logic calculation of linguistically quantified propositions.

The last part of the book is composed of papers in which the stochastic and the fuzzy approaches are considered together. Here problems are dis- cussed as- similarities and differences between stochastic and possibilistic programming with re- spect to their solution procedure (J.J. Buckley); - limitations, advantages and inconveniences of the FLIP and STRANGE methods (R. Slowinsky and J. Teghem); - conservative and nonconservative ways for mul- tiobjective programming with set valued coeffi- cients (I.M. Stancu-Minasian and St. Tigan).

The book is a major step towards understand- ing the differences between the stochastic and fuzzy approaches.

Margit Kov~tcs Computer Centre, Lorrnd Ertvrs University,

P.O. Box 157, H-1502, Budapest 112, Hungary

Peter L. Hammer (ed. in chief)

Annals of Operations Research, Production Plan- ning and Scheduling, Automated Manufacturing Systems

J.C. Baltzer AG, Basel, 1990, 484 pages, Volume 26, No, 1-4, ISSN 0254 5330

This volume of Annals of Operations Research contains two parts, both of which contain a num- ber of contributions of OR topics related to manufacturing.

In the first part, edited by M. Queyranne, and devoted to production planning and scheduling, 13 papers are presented. The emphasis is mainly on the domain of scheduling for single machines and multiple machines. The different papers con- tain a wide variety of approaches to solve different production planning and scheduling problems, some of them analytical in nature, others more

heuristic oriented. Among the topics treated we can cite the following: - relaxation for the capacitated Iotsizing problem - hierarchical approaches for planning as well as scheduling - batching and sequencing on a single machine - parallel machine, flow shop and job shop prob- lems.

The second part is devoted to automated manufacturing systems and was edited by J.B. Mazzola. Different topics on the application of OR methodology to the design, planning and con- trol of automated systems are presented. This part, with 7 papers in total is divided into four subsections: - modelling production systems (1 paper) - economic evaluation of flexible manufacturing systems (1 paper) - a u t o m a t e d manufacturing systems design (2 papers) - production planning and scheduling (3 papers), which again cover a wide spectrum of applica- tions.

As with any compilation of papers of this kind, the quality and applicability of the topics treated in the papers differs widely from paper to paper, although in both sections a considerable effort has been made in order to keep the average quality high, including a number of renowned authors and treatment of problems which are of great interest.

In general, this volume clearly illustrates the amazing diversity of manufacturing problems which can be solved by a large number of OR techniques, whether exact or approximate.

Johan Maes K.U. Leuven - Division of Industrial Management

Celestijnenlaan 300 A, 3001 Leuven- Heverlee,

Belgium