Topic
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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TL;DR: In this paper, the authors considered a supply chain network design problem with popup stores which can be opened for a few weeks or months before closing seasonally in a marketplace, and formulated a multi-period and multi-stage with multi-choice goals under inventory management constraints and formulated by 0-1 mixed integer linear programming.
64 citations
TL;DR: In this paper, a solution algorithm for linear goal programming problems is proposed, which simplifies the traditional solution methods and is computationally efficient, and it is shown to be efficient.
Abstract: This note proposes a solution algorithm for linear goal programming problems. The proposed method simplifies the traditional solution methods. Also, the proposed method is computationally efficient.
64 citations
TL;DR: The actual results obtained when a traditional linear programming computer code is used sequentially so as to solve the linear goal programming problem are presented.
64 citations
TL;DR: In this article, a decision-making methodology is discussed for determining the optimal generation dispatch and environmental marginal cost for power system operation with multiple conflicting objectives, which is formulated as a multiple objective optimization problem with two noncommensurable objectives.
Abstract: A decision-making methodology is discussed for determining the optimal generation dispatch and environmental marginal cost for power system operation with multiple conflicting objectives. In this study, the generation dispatch problems are formulated as a multiple objective optimization problem with two noncommensurable objectives (economy and environmental impacts). Each objective is optimized by Powell's method in the light of the individual performance index. Goal programming, a powerful tool for multiple criteria decision-making, is quantitatively performed to identify trade-off relations among these conflicting objectives. After a trade-off relation has been determined, sensitivity analysis is applied to evaluate the environmental marginal cost which indicates the increased portion of the monetary cost of system operation while the impact on the environment is improved. Numerical examples on a sample power system consisting of 10 buses, 11 transmission lines and five generators are provided to demonstrate the capabilities of the proposed approach. >
63 citations
TL;DR: This paper proposes a systematic approach with a feedback mechanism in which the interdependences among positions and the differences among the selected employees are considered simultaneously and achieves the acceptable satisfaction level and requires less computation time than the brute force enumerative method.
63 citations