Flow Shop Scheduling Algorithms

Design and Performance Analysis
Erscheinungsjahr 2027
ISBN: 978-0-443-49430-7
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm

Flow Shop Scheduling Algorithms: Design and Performance Analysis is an in-depth exploration of flow shop scheduling models that are critically important in discrete manufacturing and process industries. The book presents a blend of exact algorithms, such as branch and bound and approximate methods, including intelligent optimization techniques, to tackle the NP-hard problems (a class of complex computational problems that are at least as hard as the hardest problems in the NP class) inherent in flow shop scheduling. It offers readers a means to achieve optimal or near-optimal solutions for a range of scheduling problems, from small to medium scale.

In addition, the book includes many algorithmic designs, performance analyses, and numerical experiments that validate the efficacy of the proposed methods

Autoren/Hrsg.

Bai, Danyu

Ren, Tao

Wang, Xinyue

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines

Inhaltsverzeichnis

1. Introduction
2. Flow shop Scheduling with Release Dates
3. Flow shop Scheduling with Processor Blocking
4. Flow shop Scheduling with Learning Effect
5. Bi-Agent Flow shop Scheduling Problems
6. Bi-Agent Blocking Flow shop and Its Extension Problems
7. Hybrid Flow shop Scheduling with Learning Effect

Über Autor(innen)

Bai, Danyu
Professor Danyu Bai is based at the School of Maritime Economics and Management and is the Director of Department of Logistics and Supply Chain Management, Dalian Maritime University, Dalian, China. He serves as the vice president of the Scheduling Sub-Society of the Operations Research Society of China. He has authored two academic books and more than 50 refereed papers. In 2023, he received the second prize of the Innovation Technology Award at the Chinese Society of Simulation Science and Technology Awards

Ren, Tao
Professor Tao Ren is a Professor at the Software College at Northeastern University, China. His main research interests include the study of artificial intelligence algorithms and their applications in cutting-edge fields, such as image processing based on machine learning, seismic monitoring, multi-agent games, and intelligent optimization

Wang, Xinyue
Dr Xinyue Wang is an Associate Research Fellow at the Software College of Northeastern University. Dr Wang obtained her Ph.D. degree in Mathematics and Computer Science from Université Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysis