Handbook on Scheduling [electronic resource] : From Theory to Applications /
Blazewicz, Jacek.author.
Ecker, Klaus H.author.
Pesch, Erwin.author.
Schmidt, Günter.author.
Weglarz, Jan.author.
This handbook covers not only in a unified approach the most important scheduling models and methods, it also put special emphasis to their relevance to practical situations. Many applications from industry and service operations management and case studies are described. Because the book offers some preliminaries concerning basic notions from discrete mathematics, it can also be used by beginners. As a consequence, the handbook is an indispensable source for a broad audience, ranging from researchers to practitioners, graduate and advanced undergraduate students in computer science/engineering, operations research, industrial and real-time engineering, management science, business administration, information systems, and applied mathematics curricula. .
Description based upon print version of record.
Includes bibliographical references and index.
Basics -- Definition, Analysis and Classification of Scheduling Problems -- Scheduling on One Processor -- Scheduling on Parallel Processors -- Communication Delays and Multiprocessor Tasks -- Scheduling in Hard Real-Time Systems -- Flow Shop Scheduling -- Open Shop Scheduling -- Scheduling in Job Shops -- Scheduling with Limited Processor Availability -- Scheduling under Resource Constraints -- Constraint Programming and Disjunctive Scheduling -- Scheduling in Flexible Manufacturing Systems -- Computer Integrated Production Scheduling.
This handbook covers not only in a unified approach the most important scheduling models and methods, it also put special emphasis to their relevance to practical situations. Many applications from industry and service operations management and case studies are described. Because the book offers some preliminaries concerning basic notions from discrete mathematics, it can also be used by beginners. As a consequence, the handbook is an indispensable source for a broad audience, ranging from researchers to practitioners, graduate and advanced undergraduate students in computer science/engineering, operations research, industrial and real-time engineering, management science, business administration, information systems, and applied mathematics curricula. .
Production management.
Information technology.
Business—Data processing.
Application software.
Industrial engineering.
Production engineering.
Operations Management.
IT in Business.
Information Systems Applications (incl. Internet).
Industrial and Production Engineering.