Practical Goal Programming

by Dylan Jones, Mehrdad Tamiz

"Practical Goal Programming" is intended to allow academics and practitioners to be able to build effective goal programming models, to detail the current state of the art, and to lay the foundation for its future development and continued application to new and varied fields. Suitable as both a text and reference, its nine chapters first provide a brief history, fundamental definitions, and underlying philosophies, and then detail the goal programming variants and define them algebraically. Chapter 3 details the step-by-step formulation of the basic goal programming model, and Chapter 4 explo

MoreLess

Year of publication:	2010 ; 1
Authors:	Jones, Dylan
Other Persons:	Tamiz, Mehrdad (contributor)
Publisher:	Boston, MA : Springer Science+Business Media, LLC
Subject:	Operations Research \| Operations research \| Softwareentwicklung \| Software development \| Zielprogrammierung
Description of contents:	Table of Contents [gbv.de]

Online Resource

Check full text access |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

Extent:	Online-Ressource v.: digital
Series:	International Series in Operations Research & Management Science ; 141
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Preface; Contents; 1 History and Philosophy of Goal Programming; 1.1 Terminology; 1.2 Underlying Philosophies; 1.2.1 Satisficing; 1.2.2 Optimising; 1.2.3 Ordering or Ranking; 1.2.4 Balancing; 2 Goal Programming Variants; 2.1 Generic Goal Programme; 2.2 Distance Metric Based Variants; 2.2.1 Lexicographic Goal Programming; 2.2.2 Weighted Goal Programming; 2.2.3 Chebyshev Goal Programming; 2.3 Decision Variable and Goal-Based Variants; 2.3.1 Fuzzy Goal Programming; 2.3.2 Integer and Binary Goal Programming; 2.3.3 Fractional Goal Programming; 3 Formulating Goal Programmes 3.1 Formulating Goals and Setting Target Levels3.1.1 Example; 3.1.2 Resumption of Example; 3.2 Variant Choice; 3.3 Lexicographic Variant; 3.3.1 Good Modelling Practice for the Lexicographic Variant; 3.4 Weighted Variant; 3.5 Normalisation; 3.5.1 Percentage Normalisation; 3.5.2 Zero--One Normalisation; 3.5.3 Euclidean Normalisation; 3.6 Preferential Weight Choice; 3.7 Chebyshev Variant; 3.8 Summary Ten Rules for Avoiding Pitfalls in Goal Programming Formulations; 3.9 Exercises; Example 1Conversion from Linear to Goal Programming; Example 2 -- On-line Retailer Example 3Production PlanningExample 4 -- Employee Scheduling; Example 5 -- Diet Planning; Example 6 -- Travelling Salesperson; Example 7 -- Downstream Oil Industry; Example 8 -- Macro Economics; Example 9 -- Budget Planning; Example 10 -- Healthcare Planning; 4 Advanced Topics in Goal Programming Formulation; 4.1 Axioms; 4.2 Non-standard Preference Function Modelling; Type 1: Increase in Per Unit Penalty (Penalty Function); Type 2: Decrease in Per Unit Penalty (Reverse Penalty Function); Type 3: Single Increase in Penalty (Discontinuity in Preference); Type 4: Non-linearity; Model Growth Objective Bounds4.2.1 Interval Goal Programming; 4.2.2 Other Paradigms for Modelling Non-standard Preferences; 4.3 Extended Lexicographic Goal Programming; 4.4 Meta-goal Programming; Example; 4.5 Weight Space Analysis; 4.6 Exercises; 5 Solving and Analysing Goal Programming Models; 5.1 Computerised Solution of Weighted Goal Programming Example; 5.1.1 Solution via Excel Solver; 5.1.2 Solution via LINGO; 5.2 Computerised Solution of Chebyshev Goal Programming Example; 5.2.1 Solution via Excel Solver; 5.2.2 Solution via LINGO; 5.3 Computerised Solution of Lexicographic Goal Programming Examples 5.3.1 Theory of Solving Lexicographic Goal Programmes5.3.2 Solution via Excel Solver; 5.3.3 Solution via LINGO; 5.4 Solution of Other Goal Programming Variants; 5.4.1 Fuzzy Goal Programmes; 5.4.2 Integer and Binary Goal Programmes; 5.4.3 Non-linear Goal Programmes; 5.4.4 Meta and Extended Lexicographic Goal Programmes; 5.5 Analysis of Goal Programming Results; 5.6 Specialist Goal Programming Packages Past and Future; 5.7 Exercises; 6 Detection and Restoration of Pareto Inefficiency; 6.1 Pareto Definitions; 6.2 Pareto Inefficiency Detection 6.2.1 Continuous Weighted and Lexicographic Variants Electronic reproduction; Available via World Wide Web
ISBN:	978-1-4419-5771-9 ; 978-1-4419-5770-2
Other identifiers:	10.1007/978-1-4419-5771-9 [DOI]
Classification:	Angewandte Mathematik
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014275127