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Goal programming

About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.


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Journal ArticleDOI
TL;DR: The proposed goal programming models are the first multiple-criteria decision-making approaches for two-sided assembly line balancing problem with multiple objectives and they are capable of improving the value of goals.

148 citations

Journal ArticleDOI
TL;DR: The method, called Interactive Sequential Goal Programming (ISGP), combines and extends the attractive features of both Goal Programming and interactive solution approaches for MODM problems and is applicable to both linear and non-linear problems.
Abstract: This paper introduces a new solution method based on Goal Programming for Multiple Objective Decision Making (MODM) problems. The method, called Interactive Sequential Goal Programming (ISGP), combines and extends the attractive features of both Goal Programming and interactive solution approaches for MODM problems. ISGP is applicable to both linear and non-linear problems. It uses existing single objective optimization techniques and, hence, available computer codes utilizing these techniques can be adapted for use in ISGP. The non-dominance of the "best-compromise" solution is assured. The information required from the decision maker in each iteration is simple. The proposed method is illustrated by solving a nutrition problem.

147 citations

Journal ArticleDOI
TL;DR: This paper introduces the approach to generalized goal programming, describes its underlying philosophy, and indicates the specific subclass of models and methods which serve to comprise the overall approach.

147 citations

Journal ArticleDOI
TL;DR: An assessment of the potential usefulness of the MCDM paradigm is carried further and now covers the extensions to GP and other related methodologies such as multiobjective programming, compromise programming, multigoal programming and generalised GP.
Abstract: This paper is the sequel to a previous article by Romero and Rehman on the role of multiple criteria decision-making (MCDM) techniques, particularly goal programming (GP), in farm planning. This assessment of the potential usefulness of the MCDM paradigm is carried further and now covers the extensions to GP and other related methodologies such as multiobjective programming, compromise programming, multigoal programming and generalised GP. Later analysis is focused on methods of dealing with uncertainty and risk in farm planning models, by demonstrating how game theoretic principles and the MOTAD approach (along with its main variant, target MOTAD) can be incorporated within the MCDM framework.

147 citations

Journal ArticleDOI
TL;DR: This work explicitly introduces the structure of the decision-maker's preferences into the GP model in order to evaluate the impact of deviations from the decided levels, and uses the idea of a generalized criterion, as introduced in the Promethee outranking method, to build this structure of preferences.
Abstract: Many algorithms have been developed for multiple-criteria decision-making problems. Goal programming (GP) is one of these algorithms. This model is a special extension of linear programming. Usually, it is not easy for the decision-maker to choose his aspiration levels a priori. Moreover, the incommensurability of the measurement units of the various objectives creates an aggregation problem. However, in the standard GP formulation, the decision-maker is not required to arbitrate among conflicting objectives. To deal with these difficulties, we explicitly introduce the structure of the decision-maker's preferences into the GP model in order to evaluate the impact of deviations from the decision-maker's aspirations levels. Easily and naturally, the idea of a generalized criterion, as introduced in the Promethee outranking method, will be used to build this structure of preferences.

146 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202335
202271
2021151
2020138
2019160
2018145