Theory of scheduling 时间安排理论 阿里云 kindle chm umd 极速 pdf txt 下载

prehensive text explores the mathematical models underlying the theory of scheduling. Organized according to scheduling problem type, it examines three solution techniques: algebraic, probabilistic, and Monte Carlo simulation by computer.

Topics include problems of sequence, measures for schedule evaluation, finite sequencing for a single machine, and further problems with one operation per job. Additional chapters cover flow-shop scheduling, the general n/m job-shop problem, general network problems related to scheduling, selection disciplines in a single-server queuing system, single-server queuing systems with setup classes, multiple-server queuing models, and experimental investigation of the continu-ous job-shop process.

An extensive bibliography is followed by helpful appendixes with information on the Laplace-Stieltjes transform of a distribution function and experimental results with the n/m job-shop problem and with the continuous-process job-shop problem.

Chapter 1 Problems of Sequence

1-1 Questions of "pure" sequence

1-2 The job-shop process

1-3 A classification of scheduling problems

Chapter 2 Measures for Schedule Evaluation

2-1 Variables that define a scheduling problem

2-2 Variables that describe the solution to a scheduling problem

2-3 Performance measures for the shop

2-4 The relationship between flow-time and inventory

2-5 Costs associated with scheduling decisions

Chapter 3 Finite Sequencing for a Single Machine

3-1 Permutation schedules

3-2 Sequencing according to processing-time

3-3 Sequencing according to due-date

3-4 Random sequencing

3-5 Properties of antithetical rules

3-6 SPT sequencing with incomplete information

3-7 Sequencing against weighted measures of performance

3-8 Sequencing with multiple classes

Chapter 4 Further Problems with One Operation per Job

4-1 Sequence-dependent setup-times

4-1 1 A "branch-and-bound" algorithm for the traveling-salesman problem

4-1 2 Solution of the traveling-salesman problem by dynamic program-ming

4-1 3 The "closest-unvisited-city" algorithm for the traveling-salesman problem

4-2 Intermittent job arrivals

4-3 Required precedence among jobs

4-3.1 Required strings of jobs

4-3.2 General precedence constraints

4-4 Parallel machines

Chapter 5 Flow-Shop Scheduling

5-1 Permutation schedules

5-2 Minimizing maximum flow-time in a two-machine flow-shop

5-3 Minimizing mean flow-time in a two-machine flow-shop

5-4 The three-machine flow shop

5-5 Sequencing in large flow-shops

Chapter 6 The General n/m Job-Shop Problem

6-1 A graphical description of the problem

6-2 The two-machine job-shop problem

6-3 The two-job job-shop problem

6-4 Integer programming formulation of the job-shop problem

6-5 Types of schedules

6-6 Generation of schedules

6-7 Branch-and-bound approach to the job-shop problem

6-8 Examples of schedule generation

6-9 Probabilistic dispatching

6-10 Heuristic procedures

Chapter 7 General Network Problems Related to Scheduling

7-1 Critical route analysis

7-2 Shortest route determination

7-3 Assembly-line balancing problems

Chapter 8 Selection Disciplines in a Single-Server Queuing System

8-1 Queues with Poisson arrivals

8-2 System states

8-3 The busy period of a queue with Poisson arrivals '

8-4 The distribution of flow-time under the first-come, first-served discipline

8-5 Selection disciplines that are independent of processing-times

8-5.1 Distribution of number of jobs in the system

8-5.2 The last-come, first-served discipline

8-5.3 The random rule

8-6 Nonpreemptive priority and shortest-processing-time disciplines

8-6.1 Nonpreemptive priority disciplines

8-6.2 The shortest-processing-time discipline

8-6.3 Multiple-level nonpreemptive-priority disciplines

8-7 Preemptive priority disciplines

8-7.1 Preemptive-resume and preemptive-repeat disciplines

8-7.2 Semi-preemptive priority and shortest-remaining-processing-time disciplines

8-8 The due-date rule and related disciplines

8-9 The effect of processing-time-dependent disciplines on flow-time

8-10 Historical notes

Chapter 9 Single-Server Queuing Systems with Setup Classes

Chapter 10 Multiple-Server Queuing Models

Chapter 11 Experimental Investigation of the Continuous Job-Shop Process

Bibliography

Appendix A The Laplace-Stieltjes Transform of a Distribution Function

Appendix B Experimental Results:n/m Job-Shop Problem

Appendix C Experimental Results:Continuous-Process Job-Shop Problem

Index

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This comprehensive text explores the mathematical models underlying the theory of scheduling. Organized according to scheduling problem type, it examines 3 solution techniques: algebraic, probabilistic, and Monte Carlo simulation by computer. Topics include problems of sequence, measures for schedule evaluation, finite sequencing for a single machine, much more. 1967 edition.