Theory of Scheduling

Overview


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.
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Theory of Scheduling

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Overview


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.
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Product Details

  • ISBN-13: 9780486428178
  • Publisher: Dover Publications
  • Publication date: 6/9/2003
  • Series: Dover Books on Computer Science Series
  • Edition description: Reprint
  • Pages: 304
  • Sales rank: 1,052,501
  • Product dimensions: 6.14 (w) x 8.88 (h) x 0.61 (d)

Table of Contents

Chapter 1
  Problems of Sequence
  1-1 "Questions of "pure" sequence"
  1-2 The job-shop process
  1-3 A classification of scheduling probems
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 scheudling 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 programming
    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 priortity 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
  9-1 Preemptive-resume priorities with preemptive-repeat setup-times for each job
  9-2 Alternating priority discipline without setup-time
  9-3 "First-come, first-served with setup classes"
  9-4 Alternating priority disciplines with setup-time
Chapter 10
  Multiple-Server Queuing Models
  10-1 State-dependent completion rates; multiple-channel queues
  10-2 The output of a Poisson-exponential queuing system
  10-3 Queues in series
  10-4 General queue networks
Chapter 11
  Experimental Investigation of the Continuous Job-Shop Process
  11-1 Experimental conditions and procedures
  11-2 The reduction of mean queue length and work-in-process inventory
    11-2.1 Truncation of the shortest-processing-time rule
    11-2.2 SPT sequencing with multiple classes
    11-2.3 SPT sequencing with incomplete information
  11-3 Sequencing against due-dates
    11-3.1 Assignment of due-dates
    11-3.2 A state-dependent due-date procedure
  11-4 Investigations of more complex job-shop models
    11-4.1 Flexibility in machine selection
    11-4.2 Flexibility in operation sequence
    11-4.3 Sequencing in an assembly shop
Bibliography
Appendix A
  The Laplace-Stieltjes Transform of a Distribution Function
Appendix B
  Experimental Results: n/m Job-Shop Problem
  B-1 Mean flow-time
  B-2 Maximum flow-time
  B-3 Mean machine finish-time
Appendix C
  Experimental Results: Continuous-Process Job-Shop Problem
  C-1 Notation used in priority rules
  C-2 Definition of priority rules for the RAND study
  C-3 "Experimental investigation of priority assignment in a simple, symmetric, random-routed job-shop of 9 machines"
  C-4 "Experimental results for a state-dependent due-date procedure in a simple, symmetric, random-routed job-shop of 8 machines"
  C-5 Flexibility in machine selection in a symmetric random-routed job-shop of 9 machines
  C-6 Flexibility in operation sequence in a symmetric random-routed job-shop of 9 machines
  C-7 Sequencing in an assembly shop
Index
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