Flow Shop Scheduling Algorithms

Design and Performance Analysis

Häftad, Engelska, 2027

2 989 kr

Kommande

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

Offers detailed designs of both exact and approximate algorithms, providing readers with a comprehensive set of tools to address small to large-scale flow shop scheduling problems
Includes an in-depth analysis of the performance of the proposed algorithms, ensuring readers understand not just how to apply these methods, but also their limitations and potential for optimization
Bridges the gap between theory and practice by discussing the application of these algorithms in real-world industrial settings, making it a valuable resource for professionals in the field
Is enriched with extensive numerical experiments that validate the proposed methods, offering readers tangible evidence of the algorithms' effectiveness

Produktinformation

Utgivningsdatum2027-01-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor300
FörlagElsevier Science
ISBN9780443494307

Tillhör följande kategorier

Teknik: allmänt inom Naturvetenskap och teknik

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 AwardsProfessor 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 Université Paris-Saclay, France. Her main research interests include computer science, systems engineering, scheduling optimization, algorithm design, and theoretical analysis