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Scheduling: Theory, Algorithms, and Systems

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TLDR
Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments and Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource.
Abstract
This book on scheduling covers theoretical models as well as scheduling problems in the real world. Author Michael Pinedo also includes a CD that contains slide-shows from industry and movies dealing with implementations of scheduling systems. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems. The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are not known in advance. The third part deals with scheduling in practice. It covers heuristics that are popular with practitioners and discusses system design and development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments. Michael Pinedo is the Julius Schlesinger Professor of Operations Management at New York University.

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Journal ArticleDOI

A tabu search algorithm for the open shop scheduling problem

TL;DR: An efficient local search algorithm based on the tabu search technique is proposed for solving the open shop scheduling problem with the objective of minimizing makespan and results show that the algorithm performs extremely well on both benchmarks and randomly generated problems.
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Sequence-dependent group scheduling problems in flexible flow shops

TL;DR: Group scheduling within the context of sequence dependent setup times in flexible flow shops is considered, and the search algorithm that uses short term memory is recommended for problems of all sizes and levels of flexibility.
Journal ArticleDOI

A hybrid genetic algorithm for the re-entrant flow-shop scheduling problem

TL;DR: The aim of this study is to minimize makespan by using the genetic algorithm (GA) to move from local optimal solution to near optimal solution for RFS scheduling problems.
Journal ArticleDOI

A Survey on Home Energy Management

TL;DR: This work aims to survey the most recent literature on home energy management systems, providing an aggregated and unified perspective in the context of residential buildings.
Journal ArticleDOI

Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects

TL;DR: A broad description and the complexity of MFSP is introduced, a taxonomy of multi-objective optimizations and an analysis of the publications are presented, and it is noteworthy that heuristic and meta-heuristic methods and hybrid procedures are proven much more useful than other methods in large and complex situations.
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