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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

Integrated Production and Outbound Distribution Scheduling: Review and Extensions

TL;DR: This paper presents a unified model representation scheme, classify existing models into several different classes, and for each class of the models give an overview of the optimality properties, computational tractability, and solution algorithms for the various problems studied in the literature.
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Enterprise‐wide optimization: A new frontier in process systems engineering

TL;DR: In this article, the authors present a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace.

The Dynamic Berth Allocation Problem for a Container Port

TL;DR: This paper developed a heuristic procedure based on the Lagrangian relaxation of the original problem and conducted a large amount of computational experiments which showed that the proposed algorithm is adaptable to real world applications.
Journal ArticleDOI

The dynamic berth allocation problem for a container port

TL;DR: In this paper, the problem of determining a dynamic berth assignment to ships in the public berth system is addressed, and a heuristic procedure based on the Lagrangian relaxation of the original problem is developed.
Journal ArticleDOI

Operational methods for minimization of energy consumption of manufacturing equipment

TL;DR: In this article, a multi-objective mathematical programming model is proposed to minimize the energy consumption and total completion time of underutilized manufacturing equipment, where a production manager will have a set of non-dominated solutions (i.e. the set of efficient solutions) which he/she can use to determine the most efficient production sequence which will minimize the total energy consumption while optimizing the overall completion time.
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