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A review of Goal Programming and its applications

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TLDR
This paper presents a review of the current literature on the branch of multi-criteria decision modelling known as Goal Programming (GP), and the result of investigations of the two main GP methods, lexicographic and weighted GP together with their distinct application areas is reported.
Abstract
This paper presents a review of the current literature on the branch of multi-criteria decision modelling known as Goal Programming (GP). The result of our indepth investigations of the two main GP methods, lexicographic and weighted GP together with their distinct application areas is reported. Some guidelines to the scope of GP as an application tool are given and methods of determining which problem areas are best suited to the different GP approaches are proposed. The correlation between the method of assigning weights and priorities and the standard of the results is also ascertained.

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Citations
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Journal ArticleDOI

Goal programming for decision making: an overview of the current state-of-the-art

TL;DR: Modelling techniques such as detection and restoration of pareto efficiency, normalisation, redundancy checking, and non-standard utility function modelling are overviewed, and the rationality of ranking Multi-Criteria Decision Making techniques is discussed.
Journal ArticleDOI

Extended lexicographic goal programming: a unifying approach

TL;DR: In this paper, the authors review the satisficing philosophy of goal programming and interpret their solutions from the point of view of the utility theory, leading to a very general optimisation structure called Extended Lexicographic Goal Programming (ELGP).

Continuous optimization: a general structure of achievement function for a goal programming model

C Romero
TL;DR: The presentation will end with a very general structure, which encompasses as particular cases basically all the achievement functions proposed in the literature.
Journal ArticleDOI

A general structure of achievement function for a goal programming model

TL;DR: A key element of a goal programming model is the achievement function; that is, the function that measures the degree of minimisation of the unwanted deviation variables of the goals considered in the model.
Journal ArticleDOI

Analytic network process and multi-period goal programming integration in purchasing decisions

TL;DR: This paper presents a multi-period inventory lot sizing scenario, where there is single product and multiple suppliers, and an integrated approach of Archimedean Goal Programming (AGP) and Analytic Network Process (ANP) is suggested to solve the order allocation problem.
References
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Journal ArticleDOI

Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making

TL;DR: In this article, a valued outranking graph is constructed by using a preference index, and two possibilities are considered to solve the ranking problem by using this valued graph: PROMETHEE I provides a partial preorder and PROMTHEE II a total preorder on the set of the possible actions.
Book

Management Models and Industrial Applications of Linear Programming

TL;DR: In place of a survey or evaluation of industrial studies, two broad issues which are relevant to all such applications will be discussed, including the use of linear programming models as guides to data collection and analysis and prognosis of fruitful areas of additional research, especially those which appear to have been opened by industrial applications.
Journal ArticleDOI

Optimal Estimation of Executive Compensation by Linear Programming

TL;DR: It will be shown how the methods of linear programming may be used to obtain estimates of parameters when more usual methods, such as “least squares,” are difficult or impossible to apply.
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