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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: A timber harvest scheduling model consistent with multiple objectives identified in the forest management plans for these plantations was formulated and a set of sustainability indicators was identified and briefly described, and several management alternatives were generated.

39 citations

Journal ArticleDOI
TL;DR: The methodology proposed involves an optimization model to obtain a relative measure of CSR at the firm level that can guide performance improvements, and a goal programming model to identify a common set of weights for the key performance indicators, enabling the evaluation of all firms on common grounds.

39 citations

01 Apr 1979
TL;DR: In this article, the authors developed a model to aid Coast Guard managers in formulating appropriate policies with respect to planning for various types of equipment required to contain major pollution incidents and elaborated in terms of three primary stages of response: offloading, containment, and removal.
Abstract: This paper develops a model to aid Coast Guard managers in formulating appropriate policies with respect to planning for various types of equipment required to contain major pollution incidents The model is elaborated in terms of three primary stages of response: offloading, containment, and removal The zero order rule of chance-constrained programming is used to obtain a deterministic equivalent of the original chance-constrained model This is then replaced by a goal programming formulation to allow for plans that come 'as close as possible' to desired quality and risk levels for each pertinent region and type of incident Numerical examples illustrate potential uses of the model with special emphasis on its value for budgetary (equipment) planning by central management that extends to evaluation of risk and performance quality levels, as well as the usual dual evaluator approaches for evaluating initially prescribed levels of equipment and their efficiency coefficients (Author)

39 citations

Journal ArticleDOI
TL;DR: In this article, a multiobjective and single-objective inventory models of stochastically deteriorating items are developed in which demand is a function of inventory level and selling price of the commodity.
Abstract: Multiobjective and single-objective inventory models of stochastically deteriorating items are developed in which demand is a function of inventory level and selling price of the commodity. Production rate depends upon the quality level of the items produced and unit production cost is a function of production rate. Deterioration depends upon both the quality of the item and duration of time for storage. The time-related deterioration function follows a two-parameter Weibull distribution in time. In these models, results are derived for both without shortages and partially backlogged shortages. Here, objectives for profit maximization for each item are separately formulated with different goals and compromise solutions of the multiobjective production/inventory problems are obtained by goal programming method. The models are illustrated with numerical examples and results for different formulations are compared. The results for the models assuming them to be a single house integrated business are also obtained using a gradient-based optimization technique and compared with those obtained from the respective decentralized models. Taking man-machine interaction into consideration, interactive solutions are derived for one of the said models-multiobjective model with shortages using interactive fuzzy satisficing method. Pareto optimum and satisficing results are derived for some numerical data.

39 citations

Journal ArticleDOI
TL;DR: In this paper, the authors address the task of estimating the kind of aspirations that are most likely to have given rise to an observed partial rank ordering of alternatives, using a Tchebycheff goal programming formulation to serve as a descriptive model of choice.
Abstract: This paper addresses the task of estimating the kind of aspirations that are most likely to have given rise to an observed partial rank ordering of alternatives. The proposed approach uses a Tchebycheff goal programming formulation to serve as a descriptive model of choice and stochastic multicriteria acceptability analysis to generate candidate aspiration vectors and estimate the true aspiration vector from this candidate set. A simulation experiment is used to assess the accuracy of the estimated aspiration levels in a variety of problem contexts. The approach can perform well if strong performance is demanded on a small subset of the attributes and the rank order that is observed is sufficiently detailed.

39 citations


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