A project is a unique undertaking or endeavor to be accomplished that can be divided into individual subtasks or activities each of which requires time and scarce resources for its completion. Also there is a desired objective to be attained (for example, minimization of project duration or of variation of resource utilization, or maximization of net present value of the project). Moreover, there are given precedence relationships among activities prescrib ing the order in which activities must be carried out. Project scheduling, in its basic form, consists of finding start times for all activities such that pre scribed resource and precedence constraints are satisfied and an objective function is optimized. Since the concept of a project can be interpreted quite broadly, project scheduling problems arise in a great variety of practical situations. These in clude construction work, the development and introduction of new products, service systems, or software packages, strategic long-term planning in manu facturing and the service sector, emergency planning, and even the conduct ing of political campaigns. Recently, project scheduling has been successfully applied to production and operations management, e.g. make-to-order pro duction in manufacturing and batch production in process industries. Since the late 1950's, network-based planning methods for project sched uling problems have been developed, cf. Elmaghraby (1977) and Moder et al.
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.
Project Selection Under Uncertainty is the result of a five-year research program on the selection of projects in New Product Development (NPD). Choosing the New Product Development portfolio is of critical importance in today's business environment. The NPD portfolio has considerable strategic effect on the "middle term" success of a business. This book takes a step in developing a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. Its foundation lies in mathematical theory of resource-constrained optimization with the goal to maximize quantitative returns. The book seeks to broaden the portfolio discussion in two ways. First, simplified models - appropriate for the data-poor NPD context - are developed, which attempt to illuminate the structure of the choice problem and robust qualitative rules of thumb, rather than detailed algorithmic decision support. Such robust rules can be applied in the R&D environment of poor data availability. Second, the annual portfolio review is not the only important choice in resource allocation. In addition, the book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing.
Having appeared in the 1930s in Montreal, standardised neuropsychological evaluation has become an essential tool in the clinical diagnosis and evaluation of surgical epileptic patients. Nevertheless, despite great progress over the last 20 to 30 years in the diagnosis and medical treatment of epilepsy, clinical neuropsychology still remains largely associated with surgical epilepsy, particularly surgery of the temporal lobe. Clinical neurology has still not managed to clear a way in the daily practice with patients with all types of epilepsy despite significant advances in cognitive neuroscience and a large number of clinical studies on epilepsy and cognition. How is it that there are only rarely major advances in the field of clinical neuropsychology? It has long been time for this question to be asked, and for an attempt to be made to bring about changes. This was the aim of the Toronto workshop and the result of this book. Every approach was debated, providing important elements to reflect on and allowing a great forum for exchanges. This book includes the communications from the main participants and comments from some others on specific subjects.
Due to the scarcity of reliable data, the existing literature on default risk still displays an imbalance between theoretical and empirical contributions. Consequently, the focus of this book is on empirical work. Within an intensity based modelling framework a broad range of promising specifications is tested using corporate bond data. The book provides one of the most comprehensive empirical studies in the field, from Kalman filtration of affine term structure models to the use of Efficient Method of Moments estimation of dynamic term structure models in a default risky context. Filling another gap in empirical research, the book devotes special attention to the identification factors that can explain credit default swap premia.
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.
A survey of the state of the art of deterministic resource-constrained project scheduling with time windows. General temporal constraints and several different types of limited resources are considered. A large variety of time-based, financial, and resource-based objectives - important in practice - are studied. A thorough structural analysis of the feasible region of project scheduling problems and a classification and detailed investigation of objective functions are performed, which can be exploited for developing efficient exact and heuristic solution methods. New interesting applications of project scheduling to production and operations management as well as investment projects are discussed in the second edition.
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