Scheduling

Theory, Algorithms, and Systems
Seventh Auflage 2026
ISBN: 978-3-032-36534-7
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

This new edition provides expanded Discussion and Comments and References sections at the end of each chapter, creating a spotlight on practical applications of the theory presented in that chapter. New topics include rules for stochastic parallel machine scheduling and for stochastic online scheduling, models of flow shops with reentry, fixed parameter tractability, machine learning applications in scheduling, and new designs and implementations of scheduling systems. The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part, it is assumed that processing times and other problem data are random and 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 implementation issues. All three parts of this new edition have been revamped and streamlined and the references have been made up-to-date. Theoreticians and practitioners alike find this book of interest. Graduate students in operations management, operations research, industrial engineering, and computer science find the book an accessible and invaluable resource. Scheduling: Theory, Algorithms, and Systems serves as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments.

Zielgruppe

Graduate

Autoren/Hrsg.

Pinedo, Michael L.

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Introduction.- Part I: Deterministic Models.- Deterministic Models: Preliminaries.- Single Machine Models (Deterministic).- Advanced Single Machine Models (Deterministic).- Parallel Machines Models (Deterministic).- Flow Shops and Flexible Flow Shops (Deterministic).- Job Shops (Deterministic).- Open Shops (Deterministic).- Part II: Stochastic Models.- Stochastic Models: Preliminaries.- Single Machine Models (Stochastic).- Single Machine Models with Release Dates (Stochastic).- Parallel Machine Models (Stochastic).- Flow Shops, Job Shops and Open Shops (Stochastic).- Part III: Scheduling in Practice.- General Purpose Procedures for Deterministic Scheduling.- More Advanced General Purpose Procedures.- Modeling and Solving Scheduling Problems in Practice.- Design and Implementation of Scheduling Systems: Basic Concepts.- Design and Implementation of Scheduling Systems: More Advanced Concepts.- Examples of System Designs and Implementations.- The Road Ahead.

Über Autor(innen)

Michael Pinedo is a Julius Schlesinger professor of Operations Management at New York University’s Stern School of Business. He received an Ir. degree in Mechanical Engineering from Delft University of Technology in the Netherlands in 1973 and a Ph.D. in Operations Research from the University of California at Berkeley in 1978. His research focuses on the modeling of production and service systems, and in particular planning and scheduling systems. Recently, his research has also focused on operational risk in the services industries. Professor Pinedo has been actively involved in industrial systems development. He supervised the development and implementation of two scheduling systems for International Paper and participated in the development of systems at Goldman Sachs, Philips, Siemens, and Merck. Professor Pinedo is currently a department editor of Production and Operations Management,  associate editor of Annals of Operations Research,  associate editor of International Journal of Production Research,  and advisory board member of the Journal of the Operational Research Society.