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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: This paper focuses on multiobjective linear fractional programming problems with fuzzy parameters and presents a new interactive decision making method for obtaining the satisficing solution of the decision maker (DM) on the basis of the linear programming method.
Abstract: In this paper, we focus on multiobjective linear fractional programming problems with fuzzy parameters and present a new interactive decision making method for obtaining the satisficing solution of the decision maker (DM) on the basis of the linear programming method. The fuzzy parameters in the objective functions and the constraints are characterized by fuzzy numbers. The concept of a-Pareto optimality is introduced in which the ordinary Pareto optimality is extended based on the α-level sets of the fuzzy numbers. In our interactive decision making method, in order to generate a candidate for the satisficing solution which is also a-Pareto optimal, if the DM specifies the degree α of the a-level sets and the reference objective values, the minimax problem is solved by combined use of the bisection method and the linear programming method and the DM is supplied with the corresponding α-Pareto optimal solution together with the trade-off rates among the values of the objective functions and the d...

62 citations

Journal ArticleDOI
TL;DR: This decision support system (DSS) approach is described, which was successfully tested on four academic decision makers in a large midwestern university, and shows considerable promise for providing decision support to decision makers with varied problem-solving styles.
Abstract: Institutions of higher learning are growing increasingly interested in the use of model-based approaches to their resource allocation problems. Recent modeling approaches, however, have failed to consider that resource allocation planning is not a well-structured decision process. Additionally, many decision makers are necessarily involved in the academic planning process and may assume dissimilar perspectives on the importance of achieving different goals and objectives. Furthermore, satisfactory allocation solutions can be expected to vary considerably from decision maker to decision maker as the individual's cognitive processes, perceptions, and evaluations are taken into consideration. This paper describes a decision support system (DSS) approach that attempts to adapt to a variety of academic decision makers with differing planning views in an environment of multiple conflicting objectives. This DSS, which was successfully tested on four academic decision makers in a large midwestern university, shows considerable promise for providing decision support to decision makers with varied problem-solving styles.

62 citations

Journal ArticleDOI
TL;DR: Two approaches incorporating the analytic hierarchy process (AHP) are presented, one of which utilizes AHP in conjunction with integer programming while an alternative approach uses goal programming coupled with the AHP.
Abstract: This paper addresses the media selection problem, a special form of resource allocation problem. After reviewing characteristics of media decisions and existing analytical approaches, two approaches incorporating the analytic hierarchy process (AHP) are presented. The recommended approach utilizes AHP in conjunction with integer programming while an alternative approach uses goal programming coupled with the AHP. Those specific characteristics of AHP that make it particularly well suited to the media selection problem are discussed.

62 citations

Journal ArticleDOI
TL;DR: In this article, a GP model is presented and the implementation results of an illustrative problem is analyzed. And the authors discuss the superior aspects of the GP model over other models, when solving the production planning problem for FMS.
Abstract: Production planning for flexible manufacturing systems (FMS) has been studied using different methods, including simulation; queueing networks; and several single-objective mathematical programming techniques. The decision making process for production planning in FMS usually involves multiple conflicting objectives. Thus, goal programming (GP) can be effectively applied to this decision problem. This study discusses the superior aspects of the GP model over other models, when solving the production planning problem for FMS. A GP model is presented and the implementation results of an illustrative problem are analysed.

62 citations

Journal ArticleDOI
TL;DR: This study aims to develop models and generate a decision support system (DSS) for the improvement of supplier evaluation and order allocation decisions in a supply chain.
Abstract: This study aims to develop models and generate a decision support system (DSS) for the improvement of supplier evaluation and order allocation decisions in a supply chain. Supplier evaluation and order allocation are complex, multi criteria decisions. Initially, an analytic hierarchy process (AHP) model is developed for qualitative and quantitative evaluation of suppliers. Based on these evaluations, a goal programming (GP) model is developed for order allocation among suppliers. The models are integrated into a DSS that provides a dynamic, flexible and fast decision making environment. The DSS environment is tested at the purchasing department of a manufacturer and feedbacks are obtained.

62 citations


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