Centering on theory and practice, this book presents tools and techniques most suited for modern project management. From budgeting to scheduling and control, the authors show the relationship between project planning and implementation. Expands analytic techniques using the latest standard software. Contains fundamental concepts in project management. Builds case studies with continuing compounded information. For those interested in learning more about project management and as a reference for managers, engineers and technology experts.

Project Management: Processes, Methodologies, and Economics (2nd Edition)

Business & Money

Shtub, Avraham

Bard, Jonathan F.

Globerson, Shlomo

Management & Leadership

Pearson

This thorough and practical treatment of the engineering and managerial issues surrounding project management gives managers, engineers and technology experts a larger appreciation of their roles by 1) defining a common terminology, 2) explaining the interfaces between the different disciplines involved, and 3) teaching the techniques commonly used in the planning and execution of modern projects. Shows how to better select, plan, monitor and control a project throughout its life cycle. Emphasizes organizational design and the types of data and systems needed for successful decision making. Stresses integrative concepts rather than isolated methodologies. Presents some of the more important mathematical programming models arising in project management, and provides references for further study.

Project Management: Engineering, Technology and Implementation

Shtub, Avraham F.

PRENTICE/HALL

In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. 
Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features <ul>
<li>Divides each subject into methods and models, giving you greater flexibility in how you approach the material.</li> <li>Concise and focused presentation highlights central ideas.</li> <li>Many examples throughout the text will help you better understand mathematical material.</li> </ul>

Operations Research Models and Methods

Engineering & Transportation

Jensen, Paul A.

Engineering

wiley

Contains trial version of Microsoft project 98 and cd for book

Project Planning and Implementation

Keogh, Jim

Economics

Pearson Custom Pub.

The use of optimization techniques has become integral to the design and analysis of most industrial and socio-economic systems. Great strides have been made recently in the solution of large-scale problems arising in such areas as production planning, airline scheduling, government regulation, and engineering design, to name a few. Analysts have found, however, that standard mathematical programming models are often inadequate in these situations because more than a single objective function and a single decision maker are involved. Multiple objective programming deals with the extension of optimization techniques to account for several objective functions, while game theory deals with the inter-personal dynamics surrounding conflict. Bilevel programming, the focus of this book, is in a narrow sense the combination of the two. It addresses the problern in which two decision makers, each with their individual objectives, act and react in a noncooperative, sequential manner. The actions of one affect the choices and payoffs available to the other but neither player can completely dominate the other in the traditional sense.

Practical Bilevel Optimization: Algorithms and Applications (Nonconvex Optimization and Its Applications, 30)

Springer

The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. The theory developed over the last 40 years, coupled with an increasing number of powerful computational procedures, has made it possible to routinely solve problems arising in such diverse fields as aircraft design, material flow, curve fitting, capital expansion, and oil refining just to name a few. Mathematical programming plays a central role in each of these areas and can be considered the primary tool for systems optimization. Limits have been placed on the types of problems that can be solved, though, by the difficulty of handling functions that are not everywhere differentiable. To deal with real applications, it is often necessary to be able to optimize functions that while continuous are not differentiable in the classical sense. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems. In the first half of the book, we study basic theory for general smooth and nonsmooth functions of many variables. After providing some background, we extend traditional (differentiable) nonlinear programming to the nondifferentiable case. The term used for the resultant problem is nondifferentiable mathematical programming. The major focus is on the derivation of optimality conditions for general nondifferentiable nonlinear programs. We introduce the concept of the generalized gradient and derive Kuhn-Tucker-type optimality conditions for the corresponding formulations.

Nondifferentiable and Two-Level Mathematical Programming

Shimizu, Kiyotaka

Ishizuka, Yo

Reference

The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. The theory developed over the last 40 years, coupled with an increasing number of powerful computational procedures, has made it possible to routinely solve problems arising in such diverse fields as aircraft design, material flow, curve fitting, capital expansion, and oil refining just to name a few. Mathematical programming plays a central role in each of these areas and can be considered the primary tool for systems optimization. Limits have been placed on the types of problems that can be solved, though, by the difficulty of handling functions that are not everywhere differentiable. To deal with real applications, it is often necessary to be able to optimize functions that while continuous are not differentiable in the classical sense. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems. In the first half of the book, we study basic theory for general smooth and nonsmooth functions of many variables. After providing some background, we extend traditional (differentiable) nonlinear programming to the nondifferentiable case. The term used for the resultant problem is nondifferentiable mathematical programming. The major focus is on the derivation of optimality conditions for general nondifferentiable nonlinear programs. We introduce the concept of the generalized gradient and derive Kuhn-Tucker-type optimality conditions for the corresponding formulations.

See the best price to sell, buy, or rent books by Bard, Jonathan F.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Bard, Jonathan F.

See the best price to sell, buy, or rent books by Bard, Jonathan F.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Project Management: Processes, Methodologies, and Economics (2nd Edition)

Project Management: Engineering, Technology and Implementation

Operations Research Models and Methods

Project Planning and Implementation

Practical Bilevel Optimization: Algorithms and Applications (Nonconvex Optimization and Its Applications, 30)

Nondifferentiable and Two-Level Mathematical Programming

Nondifferentiable and Two-Level Mathematical Programming