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 binary goal programming model for the mixed-model assembly line balancing (ALB) problem is developed based on the concepts developed by Patterson and Albracht and the model developed for the single-model ALB problem.
120 citations
TL;DR: Under suitable normality assumptions this problem is amenable to a quadratic programming formulation and the objective function consists of the maximization of the probability that a realization (in terms of target variables) will lie in a confidence region of predetermined size.
Abstract: This paper deals with the problem of attaining a set of targets (goals) by means of a set of instruments (subgoals) when the relation between the two groups of variables can be expressed with a linear system of stochastic equations. The objective function consists of the maximization of the probability that a realization (in terms of target variables) will lie in a confidence region of predetermined size. Under suitable normality assumptions this problem is amenable to a quadratic programming formulation.
120 citations
TL;DR: A unified algorithm embracing STEM, the Geoffrion-Dyer-Feinberg procedure, interactive goal programming, Wierzbicki's Aspiration Criterion Vector method, and five other prominent procedures are used to illustrate the degree to which the procedures of interactive multiple objective programming can be folded into one another when pursuing the unified strategy.
119 citations
TL;DR: In this paper, a multi-objective mixed-integer linear programming model that is solved by goal programming is proposed to evaluate the trade-offs between total logistics costs and carbon offsetting under different supply chain operating strategies, environmental regulatory constraints and carbon market evolution.
Abstract: Sustainable Supply Chain Network Design involves taking into account social, economic and environmental objectives at design time. While the social dimension is sometime harder to capture or quantify in mathematical terms, the Emission Trading Schema (ETS) introduces a natural trade-off between the economic and the environmental dimensions. This article addresses the design of supply chains that are also sensitive to the carbon market. Carbon emissions and total logistics costs are integrated in the design of the supply chain using a multi-objective mixed-integer linear programming model that is solved by goal programming. The proposed methodology provides decision makers with the ability to evaluate the trade-offs between total logistics costs and carbon offsetting under different supply chain operating strategies, environmental regulatory constraints and carbon market evolution. The approach is presented through an illustrative example derived from the steel industry where new legislation impos...
119 citations
TL;DR: This paper presents a multi-objective optimization framework for matching product architecture strategy to supply chain design, and incorporates the compatibility between the supply chain partners into the model to ensure the long term viability of thesupply chain.
119 citations