Business Optimization Using Mathematical Programming PDF Download

Author: Josef Kallrath
Publisher: Springer Nature
ISBN: 3030732371
Category : Business & Economics
Languages : en
Pages : 653

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Book Description
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.

Author: Josef Kallrath
Publisher: MacMillan
ISBN: 9780333676233
Category : Business
Languages : en
Pages : 423

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Book Description
This new textbook provides a theoretical and practical introduction to Business Optimisation using mathematical programming. Few textbooks have integrated modelling with state-of-the-art commercially available software. This text will be up to date with relevant examples and cases and will be accompanied by the software to solve the models. An instructor's manual will also be available.

Author: Josef Kallrath
Publisher:
ISBN: 9780333730164
Category : Programming (Mathematics)
Languages : en
Pages : 25

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Book Description

Author: Melvyn Jeter
Publisher: Routledge
ISBN: 1351433121
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
This book serves as an introductory text in mathematical programming and optimization for students having a mathematical background that includes one semester of linear algebra and a complete calculus sequence. It includes computational examples to aid students develop computational skills.

Author: Mik Wisniewski
Publisher: McGraw-Hill Companies
ISBN:
Category : Decision-making
Languages : en
Pages : 392

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Book Description
This text focuses on a particular group of management science models, known collectively as mathematical programming, and the potential application of such models to business problems and decision-making.

Author: Marcos Singer
Publisher: Routledge
ISBN: 1351032135
Category : Business & Economics
Languages : en
Pages : 392

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Book Description
This book takes a unique approach to linear optimization by focusing on the underlying principles and business applications of a topic more often taught from a mathematical and computational perspective. By shifting the perspective away from heavy math, students learn how optimization can be used to drive decision making in real world business settings. The book does not shy away from the theory underlying linear optimization but rather focuses on ensuring students understand the logic without getting caught up in proving theorems. Plenty of examples, applications and case studies are included to help bridge the gap between the theory and the way it plays out in practice. The author has also included several Excel spreadsheets, showing worked-out models of linear optimization that have been used to drive decisions ranging from configuring a police force to purchasing crude oil and media planning. How can the routes and pricing structures of airlines be optimized? How much should be invested in the prevention and punishment of crimes? These are everyday problems that can be solved using linear optimization, and this book shows students just how to do that. It will prove a useful, math-free resource for all students of management science and operations research.

Author: Filmore E. Bender
Publisher: Psychology Press
ISBN: 9781560220145
Category : Business & Economics
Languages : en
Pages : 568

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Book Description
This major new volume provides business decisionmakers and analysts with a tool that provides a logical structure for understanding problems as well as a mathematical technique for solving them. The primary tool presented throughout Optimization for Profit is linear programming (LP)--a medium that can be mastered by any individual who seeks to improve his/her analytical and decisionmaking skills. One of the special features of Optimization for Profit is the illustration of activity analysis as the technique used to formulate problems. By using activity analysis as the problem structure, linear programming become a natural extension of the way decision makers approach problems. As a result, linear programming becomes an integral part of the thinking process of the individual. Consequently, students or practitioners can readily create a linear programming model of an entire business or any part of a business. Several chapters are devoted to describing this technique and illustrating its application to many different types of companies, including an oil refinery, a marmalade production company, and a chicken processing plant. A thorough study of Optimization for Profit will enable you to work with any manufacturer or service industry and model all or part of the operation, and then solve the model to determine how best to minimize costs or maximize profits. Many firms save hundreds of thousands of dollars each year through the application of linear programming. The authors have presented the material in this vital book so clearly and thoroughly that an individual could master the material through self-study. The inclusion of problems at the end of each chapter makes this book suitable as a textbook at the advanced undergraduate or beginning graduate level at most colleges or universities for students of management science, operations research personnel, and applied mathematicians working in industry, government, or academia. Notable features of the book include: the practical aspects of modeling a business or any part of a business using linear programming a unique approach to explain the simplex method for solving linear programming problems real life, practical problems that are presented and solved in detail detailed instructions for those interested in solving linear programming problems on all types of computers from mainframes to PCs numerous problems provided for the benefit of the student and all of the linear programming models described in these problems as well as in the text itself are available on a diskette

Author: Russell C. Walker
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 568

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Book Description
Intended for Mathematical Programming courses at the undergraduate level. Course can be found in business schools-especially MBA programs-as Management Science and Operations Research. Providing the background in mathematics departments, the course may also be called Linear Programming or Optimization. Necessary to begin using mathematical programming as a tool for managerial applications and beyond, this empowering guide helps students learn to recognize when a mathematical model can be useful and helps them develop an appreciation and understanding of the mathematics associated with the applied techniques. Formatted in a flexible framework to suit individual course needs, it presents self-contained chapters later in the book which are designed to work in the order an instructor deems most suitable. For more information, please visit: http://www.math.cmu.edu/~rw1k/

Author: Neculai Andrei
Publisher: Springer Science & Business Media
ISBN: 1461467977
Category : Mathematics
Languages : en
Pages : 340

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Book Description
Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are presented so that the reader can quickly modify and update them to represent real-world situations.

Author: Neculai Andrei
Publisher: Springer
ISBN: 3319583565
Category : Mathematics
Languages : en
Pages : 506

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Book Description
This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a background in nonlinear optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear optimization methods, this book moves on to illustrate key aspects of mathematical modeling through modeling technologies based on algebraically oriented modeling languages. Next, the main feature of GAMS, an algebraically oriented language that allows for high-level algebraic representation of mathematical optimization models, is introduced to model and solve continuous nonlinear optimization applications. More than 15 real nonlinear optimization applications in algebraic and GAMS representation are presented which are used to illustrate the performances of the algorithms described in this book. Theoretical and computational results, methods, and techniques effective for solving nonlinear optimization problems, are detailed through the algorithms MINOS, KNITRO, CONOPT, SNOPT and IPOPT which work in GAMS technology.