Integral Logistics Management or Operations Research Models and Methods

Integral Logistics Management: Planning and Control of Comprehensive Business Processes

Author: Paul Schonsleben

In today's global economy, small to medium-sized companies increasingly depend on computer-aided planning and control. And rightly so, for the large amounts of data these tasks involve cannot be handled quickly - and accurately - enough by other methods. The success of magic formulas, catchwords, and simplifying theories in logistics management depends upon the people using them.

An exhaustive understanding of logistics forms the basis of this book. It emphasizes integral analysis and design covering logistics networks through the entire production process to the end user and back again. The author examines business objectives and methods in detail. Along with the familiar concepts of production planning and control systems, he discusses the integration of planning and control in research and development.

Integral Logistics Management: Planning and Control of Comprehensive Business Processes provides a comprehensive understanding of logistics. The book handles both classical and novel approaches to nonrepetitive (one-of-a-kind) production.

You will find not only the most recent trends in supply chain management, virtual organizations, and agile companies, but also the concepts of Just-In-Time (JIT) Enterprise Resource Planning (ERP), and Materials Resource Planning II (MRP II).

See also: The Sims 2 or Information Security Governance

Operations Research Models and Methods

Author: Paul A Jensen

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 authors 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. A CD (included free, inside the cover) contains advanced topics, as well as robust, yet easy-to-use, Excel add-ins that support the methods discussed in the text.

Features*Divide each subject into methods and models, giving you greater flexibility in how you approach the material.
*Concise and focused presentation highlights central ideas. The first CD includes advanced topics and applications.
*Excel add-ins on the accompanying CD will help you solve almost all of the problems and exercises in the book.
*Many examples throughout the text will help you better understand mathematical material.
*Trial versions of software on the CD allow you to use some of the commercial tools available to OR practitioners. These include Premium Solver for Education from Frontline Systems, Inc., MPL Modeling System from Maximal Software, Inc., and the Extended Simulation System from Imagine That, Inc.
*A comprehensive website for the book offers step-by-step procedures for manyof the methods discussed in the book.

Table of Contents:

1	Problem Solving with Operations Research	1
2	Linear Programming Models	17
3	Linear Programming Methods	56
4	Sensitivity Analysis, Duality, and Interior Point Methods	111
5	Network Flow Programming Models	146
6	Network Flow Programming Methods	182
7	Integer Programming Models	223
8	Integer Programming Methods	266
9	Nonlinear Programming Models	315
10	Nonlinear Programming Methods	359
11	Models for Stochastic Processes	409
12	Discrete-Time Markov Chains	427
13	Mathematics of Discrete-Time Markov Chains	466
14	Continuous-Time Markov Chains	493
15	Mathematics of Continuous-Time Markov Chains	526
16	Queuing Models	550
17	Queuing Networks and Decision Models	586
18	Simulation	614
	Index	669