Theory of Scheduling - Paperback

Theory of Scheduling: A Comprehensive Mathematical Approach

This mathematical text provides an in-depth exploration of scheduling theory through rigorous analytical frameworks. Authored by Richard W. Conway, William L. Maxwell, and Louis W. Miller, this Dover Publications edition presents scheduling models organized systematically by problem type.

Three Core Solution Techniques

The text examines scheduling problems through three distinct methodological approaches:

• Algebraic Methods: Mathematical formulations and analytical solutions for deterministic scheduling problems
• Probabilistic Models: Statistical approaches for handling uncertainty in scheduling environments
• Monte Carlo Simulation: Computer-based techniques for complex scheduling scenarios that resist closed-form solutions

Structured by Problem Classification

The content is organized according to scheduling problem types, allowing readers to navigate directly to relevant models for specific applications. This structure supports both academic study and practical reference for operations research professionals.

Applications Across Disciplines

The mathematical frameworks presented apply to resource allocation challenges in industrial engineering, project management, and computational optimization. The models address fundamental questions in operations research: optimal sequencing, machine scheduling, job-shop problems, and workflow optimization.

1967 Dover Edition

This paperback edition from Dover Books on Computer Science preserves the original 1967 text, representing a foundational work in scheduling theory. The mathematical approaches remain relevant for graduate-level study in applied mathematics, computer science, and engineering mathematics.

For Graduate Students and Researchers

Suitable for advanced academic study, this text serves graduate programs in operations research, industrial engineering, and management science. The rigorous mathematical treatment requires background in optimization theory and computational methods.

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. 1967 edition.