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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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27 citations
TL;DR: This paper shows how a multiobjective mixed integer programming formulation representing the multiobjectives capacity expansion problem can be translated into a multi objective dynamic programming formulation, how such DP formulation can be used to generate noninferior solutions, and how tradeoffs can be obtained from solutions.
Abstract: This paper integrates two existing methodologies-a single-objective dynamic programming method for capacity expansion and the surrogate worth tradeoff (SWT) method for optimizing multiple objectives -into a unified schema. In particular it shows 1) how a multiobjective mixed integer programming formulation representing the multiobjective capacity expansion problem can be translated into a multiobjective dynamic programming formulation, 2) how such DP formulation can be used to generate noninferior solutions, and 3) how tradeoff information can be obtained from solutions in 2). The necessary theoretical machinery for 3) is developed. To demonstrate the computational viability of the proposed schema, an example problem is formulated and solved.
27 citations
TL;DR: This paper extends earlier hierarchical production-planning approaches initiated by Hax and Meal and incorporates both functional and hierarchical interfaces simultaneously as encountered in practice, and assures feasibility and consistency among the decisions made at the different hierarchical levels of the firm.
Abstract: This paper extends earlier hierarchical production-planning approaches initiated by Hax and Meal. The proposed model incorporates both functional and hierarchical interfaces simultaneously as encountered in practice, and assures feasibility and consistency among the decisions made at the different hierarchical levels of the firm. The problem of infeasibility which arises in disaggregating the aggregate production plan into detailed schedules is solved using goal programming at the product-family disaggregation level, and using branch and bound at the item-disaggregation level. The proposed approach minimizes backlogging regardless of the underlying cost structure of the problem at hand.
27 citations
TL;DR: In this paper, an interactive decision support approach is introduced for explicitly considering multiple factors, simultaneously, in a multiobjective decision making framework that enhances the traditional project scheduling framework and makes the decision process for the project scheduling problem more flexible.
27 citations
TL;DR: In this article, a linear programming approach is used to test weak efficiency and to test strong efficiency for a given weakly efficient point in a multi-objective linear fractional programming problem.
27 citations