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: A multi-attribute closed-loop supply chain model for self-healing polymers based returnable transport packaging with single supplier, single manufacturer, and multi-retailers under budget and storage constraints is developed.
68 citations
TL;DR: In this paper, a goal programming model based on a multi-source multi-sink network was developed to locate five renewable energy plants for electric generation in five places located in the autonomous region of Cantabria, in the north of Spain.
Abstract: The capacity expansion planning problem of the renewable energy industry involves decisions regarding the optimal mix of different plant types, locations where each plant should be built, and capacity expansion decisions over the planning horizon for each plant. The aim of this paper is to develop a goal programming model, based on a multi-source multi-sink network, in order to locate five renewable energy plants for electric generation in five places located in the autonomous region of Cantabria, in the north of Spain. As different types of plants can be placed in each location, the goal is to locate one plant in each place, maximizing the number of plants that are matched with comparable locations, in a way that the total deviations from goals are minimized.
68 citations
Journal Article•
TL;DR: In this paper, a new multi-criteria method to solve the general supplier selection problem is described, and a real-life example is provided to illustrate how the method can be used in practice.
Abstract: This paper describes a new multi-criteria method to solve the general supplier selection problem. The supplier selection problem is complicated and risky, owing to a variety of qualitative and quantitative factors affecting the decision-making process. For this matter, we present a unique three-phase methodology to reduce the base of potential suppliers to a manageable number and optimize the allocation of orders by means of multi-criteria techniques, namely ideal solution approach, Analytical Hierarchy Process (AHP) and Goal Programming (GP). Finally, a real-life example is provided to illustrate how the method can be used in practice.
68 citations
TL;DR: This paper considers a simple production planning problem with ambiguous data and decision-maker's vague aspirations, and applies a possibilistic programming approach based on possibility and necessity measures to solve the problem.
68 citations
TL;DR: Questions addressed include, among others, uniqueness in solution or objective space, penalization for over-achievement of goals, min-max reformulation of goal programming, inferiority in Tchebycheff-norm minimization, strength and weakness of weighted-bound optimization, “quasi-satisficing” decision-making, and just attaining or even over-passing the goals.
Abstract: This paper examines Pareto optimality of solutions to multi-objective problems scalarized in the min-norm, compromise programming, generalized goal programming, or unrestricted min-max formulations. Issues addressed include, among others, uniqueness in solution or objective space, penalization for over-achievement of goals, min-max reformulation of goal programming, inferiority in Tchebycheff-norm minimization, strength and weakness of weighted-bound optimization, “quasi-satisficing” decision-making, just attaining or even over-passing the goals, trading off by modifying weights or goals, non-convex Pareto frontier. New general necessary and sufficient conditions for both Pareto optimality and weak Pareto optimality are presented. Various formulations are compared in theoretical performance with respect to the goal-point location. Ideas for advanced goal programming and interactive decision-making are introduced.
67 citations