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The book is devoted to structural issues, algorithms, and applications of resource allocation problems in project management. Special emphasis is given to a unifying framework within which a large variety of project scheduling problems can be treated. Those problems involve general temporal constraints among project activities, different types of scarce resources, and a broad class of regular and nonregular objective functions ranging from time-based and financial to resource levelling functions. The diversity of the models proposed allows for covering many features arising in scheduling applications beyond the field of project management such as short-term production planning in the manufacturing or process industries.
An operating system is probably the most important part of the body of soft ware which goes with any modern computer system. I ts importance is reflected in the large amount of manpower usually invested in its construction, and in the mystique by which it is often surrounded. To the non-expert the design and construction of operating systems has often appeared an activity impenetrable to those who do not practise it. I hope this book will go some way toward dispelling the mystique, and encourage a greater general understanding of the principles on which operating systems are constructed. The material in the book is based on a course of lectures I have given for the past few years to undergraduate students of computer science. The book is therefore a suitable introduction to operating systems for students who have a basic grounding in computer science, or for people who have worked with computers for some time. Ideally the reader should have a knowledge of prorramming and be familiar with general machine architecture, common data structures such as lists and trees, and the functions of system software such as compilers, loaders, and editors. I t will also be helpful if he has had some experience of using a large operating system, seeing it, as it were, from the out side.
Robust Project Scheduling is to review the fundamentals of robust project scheduling through the deployment of proactive/reactive project scheduling procedures.
Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM), Salesforce, and Dropbox are increasingly being integrated by enterprises looking to increase their agility and efficiency. Impacts and Challenges of Cloud Business Intelligence is a cutting-edge scholarly resource that provides comprehensive research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is essential for entrepreneurs, IT professionals, managers, business professionals, practitioners, researchers, academicians, and students.
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.
"Details time-efficient and cost-effective strategies to evaluate, select, prioritize, plan, and manage multiple projects. Presents proven methods and practical applications for the development of successful project portfolios and prosperous multiproject environments. Provides useful models and scheduling frameworks for increasecd quality and productivity."