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The Second Edition continues to provide a sound basis of technical knowledge for the manpower planning professional. Basic theory is sufficiently covered but the aim is to provide tools for practical use. The presentation reflects recent developments in the wider use of microcomputers and includes new material on continuous time methods, the data needs of manpower planning plus new and revised formulae and case studies. Also contains numerous examples, exercises and solutions.
Textbook on statistical analysis methodologys relating to human resources planning - describes mathematical models based on markov-chain and renewal theories (attrition and labour turnover); discusses forecasting techniques regarding labour demand, and includes the baseqn computer programme for the statistical computing of career patterns. Bibliography pp. 273 to 282, diagrams and graphs.
Recently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, HR managers and students must increase their knowledge of the resources’ optimum application. Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions. Featuring coverage on a broad range of topics such as leadership, industrial relations, training and development, and diversity management, this book is geared towards managers, professionals, upper-level students, administrators, and researchers seeking current information on the integration of HRM technologies.
The title of this book is Techniques in Corporate Manpower Planning: Methods and Applications. Manpower planning, also called personnel plan ning, implies the analysis of possible discrepancies in the future between personnel demand and supply. Personnel demand will also be called person nel requirement; and personnel supply, personnel availability. The notion of corporate manpower planning refers to the planning of personnel on the level of an industrial or governmental organization. As such, it does not stand for manpower planning for branches of industries or labor market studies of countries or international communities. One type of manpower planning is the planning of short-term succes sions of managers or the assignment planning of positions for individual employees for the next year. In fact, this type of short-term manpower plan ning is always executed, whether formally or informally, centrally or other wise. Another type of manpower planning, however, may be executed to match the requirement for and availability of personnel for the medium and long term. This type of manpower planning considers groups of employees rather than individuals. Our goal is to consider medium- and long-term manpower planning for groups of employees. We call this the multicategory vii Vlll PREFACE approach to manpower planning. In our view, this medium-and long-term personnel planning provides the conditions for individual manpower plan ning or for personnel development.
A hands-on approach to the basic principles of empirical model building. Includes a series of real-world statistical problems illustrating modeling skills and techniques. Covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and nonclassical data analysis methods.
A path-breaking account of Markov decision processes-theory and computation This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others. Stochastic Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon discounted, and average cost criteria. It then shows how optimal rules of operation (policies) for each criterion may be numerically determined. A great wealth of examples from the application area of the control of queueing systems is presented. Nine numerical programs for the computation of optimal policies are fully explicated. The Pascal source code for the programs is available for viewing and downloading on the Wiley Web site at www.wiley.com/products/subject/mathematics. The site contains a link to the author's own Web site and is also a place where readers may discuss developments on the programs or other aspects of the material. The source files are also available via ftp at ftp://ftp.wiley.com/public/sci_tech_med/stochastic Stochastic Dynamic Programming and the Control of Queueing Systems features: * Path-breaking advances in Markov decision process techniques, brought together for the first time in book form * A theorem/proof format (proofs may be omitted without loss of continuity) * Development of a unified method for the computation of optimal rules of system operation * Numerous examples drawn mainly from the control of queueing systems * Detailed discussions of nine numerical programs * Helpful chapter-end problems * Appendices with complete treatment of background material
Delves into the core and functional areas in the upstream oil and gas industry covering a wide range of operations and processes Oil and gas exploration and production (E&P) activities are costly, risky and technology-intensive. With the rise in global demand for oil and fast depletion of easy reserves, the search for oil is directed to more difficult areas – deepwater, arctic region, hostile terrains; and future production is expected to come from increasingly difficult reserves – deeper horizon, low quality crude. All these are making E&P activities even more challenging in terms of operations, technology, cost and risk. Therefore, it is necessary to use scarce resources judiciously and optimize strategies, cost and capital, and improve business performance in all spheres of E&P business. Optimization and Business Improvement Studies in Upstream Oil and Gas Industry contains eleven real-life optimization and business improvement studies that delve into the core E&P activities and functional areas covering a wide range of operations and processes. It uses various quantitative and qualitative techniques, such as Linear Programing, Queuing theory, Critical Path Analysis, Economic analysis, Best Practices Benchmark, Business Process Simplification etc. to optimize Productivity of drilling operations Controllable rig time loss Deepwater exploration strategy Rig move time and activity schedule Offshore supply vessel fleet size Supply chain management system Strategic workforce and human resource productivity Base oil price for a country Standardize consumption of materials Develop uniform safety standards for offshore installations Improve organizational efficiency through business process simplification The book will be of immense interest to practicing managers, professionals and employees at all levels/ disciplines in oil and gas industry. It will also be useful to academicians, scholars, educational institutes, energy research institutes, and consultants dealing with oil and gas. The work can be used as a practical guide to upstream professionals and students in petroleum engineering programs.