In general, scheduling problems can be understood very broadly as the problems of the allocation of resources over time to perform a set of tasks. ready times, due dates, relative urgency weights, functions describing task processing in relation to allotted resources.

1 Introduction.- References.- 2 Preliminaries.- 2.1 Sets and Relations.- 2.2 Problems, Algorithms, Complexity.- 2.3 Graphs and Networks.- 2.4 Enumerative Methods.- 2.5 Heuristic and Approximation Algorithms.- References.- 3 Formulation of Scheduling Problems.- 3.1 Definition of Scheduling Problems.- 3.2 Analysis of Scheduling Problems and Algorithms.- 3.3 Motivations for Deterministic Scheduling Problems.- 3.4 Classification of Deterministic Scheduling Problems.- References.- 4 Single Processor Scheduling.- 4.1 Minimizing Schedule Length.- 4.2 Minimizing Mean Weighted Flow Time.- 4.3 Minimizing Due Date Involving Criteria.- 4.4 Minimizing Change-Over Cost.- 4.5 Other Criteria.- References.- 5 Parallel Processor Scheduling.- 5.1 Minimizing Schedule Length.- 5.2 Minimizing Mean Row Time.- 5.3 Minimizing Due Date Involving Criteria.- 5.4 Other Models.- References.- 6 Static Shop Scheduling.- 6.1 Flow Shop Scheduling.- 6.2 Open Shop Scheduling.- 6.3 Job Shop Scheduling.- References.- 7 Resource Constrained Scheduling.- 7.1 Classical Model.- 7.2 Scheduling Multiprocessor Tasks.- 7.3 Scheduling with Continuous Resources.- References.- 8 Scheduling in Flexible Manufacturing Systems.- 8.1 Introductory Remarks.- 8.2 Scheduling Flexible Flow Shops.- 8.3 Scheduling Dynamic Job Shops.- 8.4 Simultaneous Scheduling and Routing in some FMS.- References.- 9 From Theory to Practice.- 9.1 Scheduling in Computer Integrated Manufacturing.- 9.2 Solution Approaches Based on Artificial Intelligence.- 9.3 Integration of Knowledge and Algorithms.- References.