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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 Resource constrained Project Scheduling

Download or read book Resource constrained Project Scheduling written by Arno Sprecher and published by Springer. This book was released on 1994 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Complex Scheduling

Download or read book Complex Scheduling written by Peter Brucker and published by Springer Science & Business Media. This book was released on 2006-04-26 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling problems have been investigated since the late ?fties. Two types of applications have mainly motivated research in this area: project planning and machine scheduling. While in machine scheduling a large number of speci?c scheduling situations depending on the machine environment and the job c- racteristicshavebeenconsidered, theearlyworkinprojectplanninginvestigated scheduling situations with precedence constraints between activities assuming that su?cient resources are available to perform the activities. More recently, in project scheduling scarce resources have been taken into account leading to so-called resource-constrained project scheduling problems. On the other hand, also in machine scheduling more general and complex problems have been - vestigated. Due to these developments today both areas are much closer to each other. Furthermore, applications like timetabling, rostering or industrial scheduling are connected to both areas. This book deals with such complex scheduling problems and methods to solve them. It consists of three parts: The ?rst part (Chapters 1 and 2) contains a description of basic scheduling models with applications and an introduction into discrete optimization (covering complexity, shortest path algorithms, linear programming, network ?ow algorithms and general optimization methods). In the second part (Chapter 3) resource-constrained project scheduling problems are considered. Especially, methods like constraint propagation, branch-a- bound algorithms and heuristic procedures are described. Furthermore, lower bounds and general objective functions are discussed.

Book Project Scheduling

Download or read book Project Scheduling written by Jan Weglarz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project scheduling problems are, generally speaking, the problems of allocating scarce resources over time to perform a given set of activities. The resources are nothing other than the arbitrary means which activities complete for. Also the activities can have a variety of interpretations. Thus, project scheduling problems appear in a large spectrum of real-world situations, and, in consequence, they have been intensively studied for almost fourty years. Almost a decade has passed since the multi-author monograph: R. Slowinski, 1. W~glarz (eds. ), Advances in Project Scheduling, Elsevier, 1989, summarizing the state-of-the-art across project scheduling problems, was published. Since then, considerable progress has been made in all directions of modelling and finding solutions to these problems. Thus, the proposal by Professor Frederick S. Hillier to edit a handbook which reports on the recent advances in the field came at an exceptionally good time and motivated me to accept the challenge. Fortunately, almost all leading experts in the field have accepted my invitation and presented their completely new advances often combined with expository surveys. Thanks to them, the handbook stands a good chance of becoming a key reference point on the current state-of-the-art in project scheduling, as well as on new directions in the area. The contents are divided into four parts. The first one, dealing with classical models -exact algorithms, is preceded by a proposition of the classification scheme for scheduling problems.

Book An Optimal Algorithm for the Resource Constrained Project Scheduling Problem

Download or read book An Optimal Algorithm for the Resource Constrained Project Scheduling Problem written by Stanford University. Department of Operations Research. Systems Optimization Laboratory and published by . This book was released on 1975 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report presents an algorithm for solving a form of the resource constrained project scheduling problem. This particular form of the problem differs from that usually considered in that the time needed to complete a job depends on the amount of resources applied to that job. Jobs are preemptable and the objective is to minimize the project duration. It is shown that this problem is equivalent to the problem of finding that transportation polytope, defined by the resource constraints, of minimal dimension which has a face specified by the precedence constraints. A theorem is presented which gives conditions under which a face of a specified type exists. Using this theorem, the problem transforms into an integer programming problem with variables representing the completion times for each job. The constraint set is defined by inequalities involving addition and maximum operations on the variables and, without the constraint that the variables be integer, the constraint set forms a nonconvex, polyhedral set.

Book A Heuristic Procedure for Resource constrained Project Scheduling

Download or read book A Heuristic Procedure for Resource constrained Project Scheduling written by Vichit Suraphongschai and published by . This book was released on 1976 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Methodology for the Multi objective  Resource constrained Project Scheduling Problem

Download or read book Methodology for the Multi objective Resource constrained Project Scheduling Problem written by Nudtapon Nudtasomboon and published by . This book was released on 1993 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study is concerned with the problem of resource-constrained project scheduling which includes splittable and nonsplittable jobs, renewable and nonrenewable resources, variation in resource availabi1ity, time-resource tradeoff, time-cost tradeoff, and multiple objectives. The problem is formulated as a zero-one integer programming model. A specialized solution technique is developed for the preemptive goal programming, resource-constrained project. scheduling problem for time, cost, and resource leveling objectives. In addition, single objective algorithms are also provided for the time, cost, and resource leveling objectives. These algorithms are based on the idea of the implicit enumeration process, and use the special structures of the problem to expedite the search process. Computer-generated problems are used to test each of the single objective algorithms. The results show that the algorithms give optimal solutions to tested problems with time and cost objectives using a reasonable computation time; however, heuristic solutions are more feasible for problems with resource leveling objective. The multiple objective algorithm is illustrated through application to a warehouse project problem.

Book Resources Constrained Project Scheduling

Download or read book Resources Constrained Project Scheduling written by Christian Artigues and published by Iste Publishing Company. This book was released on 2007-06 with total page 0 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. rolling ingots production scheduling, project management in information technology companies and instruction scheduling for VLIW processor architectures.

Book Project Scheduling with Time Windows

Download or read book Project Scheduling with Time Windows written by Ulrich Dorndorf and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Scheduling is concerned with the allocation of scarce resources over time. The rich optimisation models with time windows that are treated in this book cover a multitude of practical decision problems arising in diverse application areas such as construction engineering or make-to-order production planning. The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully combined with Operations Research methods for developing powerful exact and heuristic solution algorithms for a very general class of scheduling problems. Example applications demonstrate the effectiveness of the approach.

Book Population Based Approaches to the Resource Constrained and Discrete Continuous Scheduling

Download or read book Population Based Approaches to the Resource Constrained and Discrete Continuous Scheduling written by Ewa Ratajczak-Ropel and published by Springer. This book was released on 2017-08-21 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration. The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.

Book Project Scheduling under Limited Resources

Download or read book Project Scheduling under Limited Resources written by Sönke Hartmann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaches to project scheduling under resource constraints are discussed in this book. After an overview of different models, it deals with exact and heuristic scheduling algorithms. The focus is on the development of new algorithms. Computational experiments demonstrate the efficiency of the new heuristics. Finally, it is shown how the models and methods discussed here can be applied to projects in research and development as well as market research.

Book Project Scheduling under Resource Constraints

Download or read book Project Scheduling under Resource Constraints written by Rainer Kolisch and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the field of resource-constrained project scheduling. State-of-the-art reviews of optimal and heuristic procedures are provided for classical project scheduling models. Furthermore, new models which are relevant for practical problem settings, are introduced. The main emphasis is on newly developed competitive heuristic methods. Contents: Introduction. - Description of the Problems.- Classification of Schedules.- Characterisation and Generation of Instances.- The Single-Mode Project Scheduling Problem.- The Multi-Mode Project Scheduling Problem.- Project Scheduling with Given Deadline.- Project Scheduling with Setup Times.- Applications to Production Management.- Concluding Remarks.- List of Notations.- List of Abbreviations.

Book Masters Theses in the Pure and Applied Sciences

Download or read book Masters Theses in the Pure and Applied Sciences written by Wade Shafer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all con cerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Cor poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 26 (thesis year 1981) a total of 11 ,048 theses titles from 24 Canadian and 21 8 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this important annual reference work. While Volume 26 reports theses submitted in 1981, on occasion, certain univer sities do report theses submitted in previous years but not reported at the time.

Book Application of Memory based Approach to Multi objective Optimisation on Dynamic Resource constrained Project Scheduling with Time varying Number of Tasks

Download or read book Application of Memory based Approach to Multi objective Optimisation on Dynamic Resource constrained Project Scheduling with Time varying Number of Tasks written by Manuel Blanco Abello and published by . This book was released on 2014 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many, if not all, manufacturing processes in industry require scheduling activities; such activities are very important as often they determine the success or failure of some companies. For example, in wine production, grapes are planted, mature fruits are harvested, transported and crushed then the juice obtained is placed in tanks, which are managed during fermentation, and finally the wine is bottle. A schedule can be a solution to a problem which has several, possibly conflicting objectives, e.g. the mininisation of production costs and delays while meeting customer-imposed wine delivery times; the problem also has constraints, e.g. a bottling line cannot be used without being cleaned to process white wine when it last processed red wine. As can be expected, the problem has variables such as the number of wine bottles ordered. The environment (e.g. wine factory) in which the schedule is implemented may change (e.g. one bottling line breaks down) whereby this schedule becomes infeasible. Consequently, there could be a need to solve a new scheduling problem to obtain a new schedule best suited to the new state of the environment. The number of variables in this new problem may be the same as that of the previous problem. A large proportion of research effort has been directed towards scheduling problems with a constant number of variables despite changes in the environments where the problems are set. However, there are important scheduling problems where the number of variables could vary. For example, in some models of job-shop scheduling problems there are occurrences of additional rush jobs and job cancellations. This thesis deals with one particular class of scheduling problems, each being multi-objective, resource constrained, and having numbers and values of variables which vary over time. Various traditional operation research methods as well as a few Artificial Intelligence-based techniques, such as Multi-Agent Systems and Evolutionary Algorithms (EA), have been applied to solve this type of problem. In this thesis, a memory-based EA technique was applied to solve problems from the class. Being memory-based, this technique utilises the solutions to problems set in previous states of an environment in order to solve a problem set in the current state of this environment. The memory-based EA technique, referred to as Centroid-Based Adaptation with Random Immigrants (CBAR), is applicable only to solve multi-objective, resource-constrained problems with a constant number of variables. In this thesis, CBAR is extended to become applicable to solve all problems from the above-mentioned class. The result of this extension is a technique referred to as Mapping of Task IDs for CBAR (McBAR). This thesis investigates the performance, the performance stability over environmental dynamics, and the efficiency of McBAR for solving various problems from the above class, legitimises the sub-algorithms that constitute McBAR and extends McBAR to become proactive (anticipative of future environmental changes). Compared to the other techniques investigated in this thesis, results showed McBAR to have the best and most stable performance, and to be most efficient for determining solutions to problems from the above class. All of the sub-algorithms of McBAR are shown to be legitimate, while McBAR having been made proactive is shown to be beneficial in some applications.