Flow Shop Scheduling Algorithms
Design and Performance Analysis
Will be published approx. on 1. January 2027
Book
Paperback/Softback
300 pages
978-0-443-49430-7 (ISBN)
Description
Flow Shop Scheduling Algorithms: Design and Performance Analysis is an in-depth exploration of flow shop scheduling models, 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, with a focus on scenarios involving release dates and other complex constraints. The book includes many algorithmic designs, performance analyses, and numerical experiments that validate the efficacy of the proposed methods
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-0-443-49430-7 (9780443494307)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
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
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
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 Universite Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysis
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
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 Universite Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysis
Content
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
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