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Book A Comparative Study of Heuristics in Job shop Scheduling

Download or read book A Comparative Study of Heuristics in Job shop Scheduling written by Fulvio Schizzi and published by . This book was released on 1972 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Comparative Study of Assembly Job Shop Scheduling Using Simulation  Heuristics and Meta Heuristics

Download or read book A Comparative Study of Assembly Job Shop Scheduling Using Simulation Heuristics and Meta Heuristics written by Haili Lu and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "A Comparative Study of Assembly Job Shop Scheduling Using Simulation, Heuristics and Meta-heuristics" by Haili, Lu, 吕海利, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b4702901 Subjects: Genetic algorithms Heuristic programming Production scheduling

Book A Comparative Study of Scheduling Heuristics to Improve the On time Performance of Jobs at an Electrical Manufacturing Facility

Download or read book A Comparative Study of Scheduling Heuristics to Improve the On time Performance of Jobs at an Electrical Manufacturing Facility written by Douglas H. Grabenstetter and published by . This book was released on 2001 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Download or read book Metaheuristics for Scheduling in Industrial and Manufacturing Applications written by Fatos Xhafa and published by Springer. This book was released on 2008-08-22 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).

Book Heuristics and Hyper Heuristics

Download or read book Heuristics and Hyper Heuristics written by Javier Del Ser Lorente and published by BoD – Books on Demand. This book was released on 2017-08-30 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.

Book Flexible Job Shop Scheduling Using Priority Heuristics and Genetic Algorithm

Download or read book Flexible Job Shop Scheduling Using Priority Heuristics and Genetic Algorithm written by Hamid Ghaani Farashahi and published by . This book was released on 2010 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this research, flexible job shop scheduling problem has been studied. The aim of this research is to minimize the maximum completion time (makespan). The job shop scheduling is very common in practice and uniform machines (parallel machines with different speeds) have been used in job shop environment for flexibility. Flexible job shop scheduling consists of multistage which in each stage there are one or several parallel machines with different speeds. Each job crosses all these stages based on distinct routing which is fixed and known in advance. The relevant operation is processed by only one of the uniform machines in that stage. Due to Non-deterministic Polynomial-time hard (NP-hard) nature of problem, in order to generate good solution in a reasonable computation time two solution methodologies are proposed. In the first method, five heuristic procedures based on priority rules have been presented and the performances of proposed heuristics have been compared with each other in order to minimize the makespan. Experimental results over all instances indicated that the most work remaining rule with earliest completion time rule (MWKR-ECT) and earliest completion time rule (ECT) achieved the minimum of makespan up to 65% and 34% of all instances in comparison with other proposed heuristic procedures. In the next method, a genetic algorithm has been developed. It has been shown that proposed genetic algorithm with a reinforced initial population (GA2) has better efficiency compared to a proposed genetic algorithm with fully random initial population (GA0). Then, the validation of proposed genetic algorithm with reinforced initial population (GA2) has been checked with random keys genetic algorithm (RKGA). The results of computations showed that an improved rate of 27% has been achieved according to average of loss.

Book Resource Constrained Project Scheduling

Download or read book Resource Constrained Project Scheduling written by Christian Artigues and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title presents a large variety of models and algorithms dedicated to the resource-constrained project scheduling problem (RCPSP), which aims at scheduling at minimal duration a set of activities subject to precedence constraints and limited resource availabilities. In the first part, the standard variant of RCPSP is presented and analyzed as a combinatorial optimization problem. Constraint programming and integer linear programming formulations are given. Relaxations based on these formulations and also on related scheduling problems are presented. Exact methods and heuristics are surveyed. Computational experiments, aiming at providing an empirical insight on the difficulty of the problem, are provided. The second part of the book focuses on several other variants of the RCPSP and on their solution methods. Each variant takes account of real-life characteristics which are not considered in the standard version, such as possible interruptions of activities, production and consumption of resources, cost-based approaches and uncertainty considerations. The last part presents industrial case studies where the RCPSP plays a central part. Applications are presented in various domains such as assembly shop and rolling ingots production scheduling, project management in information technology companies and instruction scheduling for VLIW processor architectures.

Book POPULATION BASED SEARCH HEURISTICS FOR SCHEDULING JOB SHOPS ASSOCIATED WITH MULTIPLE ROUTINGS

Download or read book POPULATION BASED SEARCH HEURISTICS FOR SCHEDULING JOB SHOPS ASSOCIATED WITH MULTIPLE ROUTINGS written by B. S. Girish and published by B. S. Girish. This book was released on 2024-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses two different models of job shop scheduling applications that are associated with multiple routings. The first application is the well known scheduling model, generally addressed in the literature as Flexible job shop scheduling problem (FJSP), which belongs to the category of toughest NP-hard problems. The second scheduling model addressed in this thesis is based on the production environment of a capital goods industry in which the components of different products are processed and assembled in an assembly job shop type environment. The processing operations on all components in the model also consider alternative routing option. This problem is, therefore, addressed as assembly job shop scheduling associated with multiple routings (AJSP), which is much more complex than FJSP. To solve such NP-hard problems, heuristic approaches have emerged as a promising alternative to the mathematical approaches. Three population based search heuristics, a Genetic Algorithm (GA), an Ant Colony Optimization (ACO) algorithm and a Particle Swarm Optimization (PSO) algorithm, are proposed to evolve optimal schedules for both the models. The performance of the three population based search heuristics for FJSP are tested with various benchmark instances for minimum makespan time criterion and evaluated by comparing their solutions with the lower bound solution (LB), best known solution (BKS) and the solution obtained with constraint programming formulation (CPF) for the problem solved using ILOG Solver. The performance comparison reveals that the proposed algorithms outperformed CPF and are competent with the existing approaches. The proposed algorithms are, therefore, effective tools for solving FJSP instances. The performance of the three population-based search heuristics for AJSP are tested with various problem instances for minimum total tardiness cost criterion and the results obtained are compared with the results of CPF solved using ILOG Solver. The performance comparison reveals that the proposed heuristics perform better than the CPF.

Book Scheduling Theory and Its Applications

Download or read book Scheduling Theory and Its Applications written by Philippe Chrétienne and published by John Wiley & Sons. This book was released on 1995-09-11 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the subject brings together tutorials, surveys and articles with original results from foremost international experts. The contributions reflect the great diversity in scheduling theory in terms of academic disciplines, applications areas, fundamental approaches and mathematical skills. This book will help researchers to be aware of the progress in the various areas of specialization and the possible influences that this progress may have on their own specialities. Few disciplines are driven so much by continually changing and expanding technology, a fact that gives scheduling a permanence while adding to the excitement of designing and analyzing new systems. The book will be a vital resource for researchers and graduate students of computer science, applied mathematics and operational research who wish to remain up-to-date on the scheduling models and problems of many of the newest technologies in industry, commerce, and the computer and communications sciences.

Book Metaheuristics for Production Scheduling

Download or read book Metaheuristics for Production Scheduling written by Bassem Jarboui and published by John Wiley & Sons. This book was released on 2013-06-12 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the potentialities of metaheuristics for solving production scheduling problems and the relationship between these two fields. For the past several years, there has been an increasing interest in using metaheuristic methods to solve scheduling problems. The main reasons for this are that such problems are generally hard to solve to optimality, as well as the fact that metaheuristics provide very good solutions in a reasonable time. The first part of the book presents eight applications of metaheuristics for solving various mono-objective scheduling problems. The second part is itself split into two, the first section being devoted to five multi-objective problems to which metaheuristics are adapted, while the second tackles various transportation problems related to the organization of production systems. Many real-world applications are presented by the authors, making this an invaluable resource for researchers and students in engineering, economics, mathematics and computer science. Contents 1. An Estimation of Distribution Algorithm for Solving Flow Shop Scheduling Problems with Sequence-dependent Family Setup Times, Mansour Eddaly, Bassem Jarboui, Radhouan Bouabda, Patrick Siarry and Abdelwaheb Rebaï. 2. Genetic Algorithms for Solving Flexible Job Shop Scheduling Problems, Imed Kacem. 3. A Hybrid GRASP-Differential Evolution Algorithm for Solving Flow Shop Scheduling Problems with No-Wait Constraints, Hanen Akrout, Bassem Jarboui, Patrick Siarry and Abdelwaheb Rebaï. 4. A Comparison of Local Search Metaheuristics for a Hierarchical Flow Shop Optimization Problem with Time Lags, Emna Dhouib, Jacques Teghem, Daniel Tuyttens and Taïcir Loukil. 5. Neutrality in Flow Shop Scheduling Problems: Landscape Structure and Local Search, Marie-Eléonore Marmion. 6. Evolutionary Metaheuristic Based on Genetic Algorithm: Application to Hybrid Flow Shop Problem with Availability Constraints, Nadia Chaaben, Racem Mellouli and Faouzi Masmoudi. 7. Models and Methods in Graph Coloration for Various Production Problems, Nicolas Zufferey. 8. Mathematical Programming and Heuristics for Scheduling Problems with Early and Tardy Penalties, Mustapha Ratli, Rachid Benmansour, Rita Macedo, Saïd Hanafi, Christophe Wilbaut. 9. Metaheuristics for Biobjective Flow Shop Scheduling, Matthieu Basseur and Arnaud Liefooghe. 10. Pareto Solution Strategies for the Industrial Car Sequencing Problem, Caroline Gagné, Arnaud Zinflou and Marc Gravel. 11. Multi-Objective Metaheuristics for the Joint Scheduling of Production and Maintenance, Ali Berrichi and Farouk Yalaoui. 12. Optimization via a Genetic Algorithm Parametrizing the AHP Method for Multicriteria Workshop Scheduling, Fouzia Ounnar, Patrick Pujo and Afef Denguir. 13. A Multicriteria Genetic Algorithm for the Resource-constrained Task Scheduling Problem, Olfa Dridi, Saoussen Krichen and Adel Guitouni. 14. Metaheuristics for the Solution of Vehicle Routing Problems in a Dynamic Context, Tienté Hsu, Gilles Gonçalves and Rémy Dupas. 15. Combination of a Metaheuristic and a Simulation Model for the Scheduling of Resource-constrained Transport Activities, Virginie André, Nathalie Grangeon and Sylvie Norre. 16. Vehicle Routing Problems with Scheduling Constraints, Rahma Lahyani, Frédéric Semet and Benoît Trouillet. 17. Metaheuristics for Job Shop Scheduling with Transportation, Qiao Zhang, Hervé Manier, Marie-Ange Manier. About the Authors Bassem Jarboui is Professor at the University of Sfax, Tunisia. Patrick Siarry is Professor at the Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), University of Paris-Est Créteil, France. Jacques Teghem is Professor at the University of Mons, Belgium.

Book Handbook on Scheduling

Download or read book Handbook on Scheduling written by Jacek Blazewicz and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a theoretical and application-oriented analysis of deterministic scheduling problems in advanced planning and computer systems. The text examines scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Discussion includes single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling. Many applications from industry and service operations management and case studies are described. The handbook will be useful to a broad audience, from researchers to practitioners, graduate and advanced undergraduate students.

Book Worst case Performance of Scheduling Heuristics

Download or read book Worst case Performance of Scheduling Heuristics written by Bo Chen and published by I.B.D. Limited. This book was released on 1994 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Attempts to cope with the challenge of optimal utilization of limited resources in accomplishing variegated tasks have resulted in an exciting field known as scheduling theory. The resources and tasks are commonly referred to as machines and jobs, respectively. In this thesis efficient heuristic algorithms are developed, which quickly provide near optimal solutions for various problems in scheduling theory that are practically intractable to solve to optimality. The worst-case performance of the heuristic algorithms is thoroughly analyzed. With respect to machine environments, the scheduling problems considered range from parallel machine shops, through open and flow shops, to common generalizations of the classical shop models. With respect to the job characteristics, these problems may involve preemptive or non-preemptive scheduling, with setup times included in or separated from processing times. With respect to the ways jobs are released and scheduled, both off-line and on-line problems are investigated."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Book A Comparative Study of Manpower Scheduling Algorithms

Download or read book A Comparative Study of Manpower Scheduling Algorithms written by Aaron Paul Blossom and published by . This book was released on 1993 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceedings of the 6th International Conference on Big Data and Internet of Things

Download or read book Proceedings of the 6th International Conference on Big Data and Internet of Things written by Mohamed Lazaar and published by Springer Nature. This book was released on 2023-03-28 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

Book Heuristic Scheduling Systems

Download or read book Heuristic Scheduling Systems written by Thomas E. Morton and published by John Wiley & Sons. This book was released on 1993-09-10 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflects exact and heuristic methods of scheduling techniques suitable for creating customized sequencing and scheduling systems for flexible manufacturing, project management, group and cellular manufacturing operations. Summarizes complex computational studies demonstrating how they work in practice. Contains new theories and techniques developed by the author. Includes a software disk to reinforce and practice the methods described.

Book Computational Intelligence in Flow Shop and Job Shop Scheduling

Download or read book Computational Intelligence in Flow Shop and Job Shop Scheduling written by Uday Chakraborty and published by Springer. This book was released on 2009-10-12 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over fifty years now, the famous problem of flow shop and job shop scheduling has been receiving the attention of researchers in operations research, engineering, and computer science. Over the past several years, there has been a spurt of interest in computational intelligence heuristics and metaheuristics for solving this problem. This book seeks to present a study of the state of the art in this field and also directions for future research.