Perspectives in Modern Project Scheduling

ISBN-13: 9781441941442 / Angielski / Miękka / 2010 / 444 str.

Joanna Jozefowska; Jan Weglarz

Opis

Operations Research began as a field with the mathematical scheduling of a massive project--logistically supplying Europe with military equipment and goods during the 2^nd World War. Today project scheduling research continues to grow in the variety of its theoretical models, in its magnitude, and in its application. As the world becomes more interrelated and complex, the wider its research is applied to an increasing number of project scheduling problems. The book surveys the current state-of-the-art in this realm of operations research with chapters written by the respective leading experts on each topic. It will cover the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources. Recent solution algorithms are systematically examined. The book summarizes the current developments and theoretical achievements in the field. These new developments include project uncertainty and grid resource management. PERSPECTIVES IN MODERN PROJECT SCHEDULING systematically presents this dynamically developing area in three parts. Part I discusses new models of the project management process that are being developed. They include an alternative to the well-known PERT technique, consideration of disturbances during the project realization, introduction of new constraints like due dates or setup times, as well as a general discussion on classification of resources. Part II outlines and evaluates the new algorithms that have been developed to solve the strongly NP-hard resource constrained project scheduling efficiently with acceptable accuracy. New lower bounds for the RCPSP are proposed, followed by smart justification technique and a series of Metaheuristics. Finally, a neural network approach is introduced. Part III is devoted to new areas of applications of the project management models and the algorithms -- for example, pharmaceutical research, grid computing, factory pick-up of new cars, batch scheduling in process industries and make-to-order (project driven) manufacturing -- that have been developed to solve project scheduling problems in these application areas. The book will be of interest to academics and students in project management and scheduling in Business Schools, Operations Research/Management Science, Computer Science & Engineering, Systems Analysis, and Applied Mathematics. In addition, decision makers, consultants and practitioners in industry, government and service organizations will also be interested in this book.

This book surveys the current state-of-the-art in operations research. The book summarizes the current developments and theoretical achievements in the field, including project uncertainty and grid resource management. It further covers the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources.

Spis treści

Models.- A Practical and Accurate Alternative to PERT.- Proactive-Reactive Project Scheduling Trade-Offs and Procedures.- Resource Constrained Project Scheduling Models under Random Disturbances.- Due Dates and RCPSP.- RCPS with Variable Intensity Activities and Feeding Precedence Constraints.- Modelling Setup Times in Project Scheduling.- Algorithms.- Lower Bounds for Resource Constrained Project Scheduling Problem.- Justification Technique Generalizations.- A Metaheuristic Approach to the Resource Constrained Project Scheduling with Variable Activity Durations and Convex Cost Functions.- A Hybrid Genetic Algorithm Based on Intelligent Encoding for Project Scheduling.- Population Learning Algorithm for the Resource-Constrained Project Scheduling.- Resource Constrained Project Scheduling: a Hybrid Neural Approach.- Applications.- Selection and Scheduling of Pharmaceutical Research Projects.- Grid Multicriteria Job Scheduling with Resource Reservation and Prediction Mechanisms.- Resource-Constrained Project Scheduling with Time Windows.- CP-Based Decision Support for Project Driven Manufacturing.