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: The LGP approach enables customers to express their preferences on the relative importance weights of CRs in their preferred or familiar formats, which may differ from one customer to another but have no need to be transformed into the same format, thus avoiding information loss or distortion.
40 citations
TL;DR: In this article, the supplier efficiency is measured with respect to all economic, social, and environmental dimensions using DEA and applying imprecise data, and then, to have a general evaluation of the suppliers, the DEA model is developed using imprecising data based on goal programming (GP). Integrating the set of criteria changes the new model into a coherent framework for sustainable supplier selection.
Abstract: Nowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpful for the evaluation and selection of the sustainable supplier and has the ability to use a variety of data types is data envelopment analysis (DEA). In the present article, first, the supplier efficiency is measured with respect to all economic, social and environmental dimensions using DEA and applying imprecise data. Then, to have a general evaluation of the suppliers, the DEA model is developed using imprecise data based on goal programming (GP). Integrating the set of criteria changes the new model into a coherent framework for sustainable supplier selection. Moreover, employing this model in a multilateral sustainable supplier selection can be an incentive for the suppliers to move towards environmental, social and economic activities. Improving environmental, economic and social performance will mean improving the supply chain performance. Finally, the application of the proposed approach is presented with a real dataset.
40 citations
01 Jan 1987
TL;DR: This volume provides a survey of quantitative methods, guiding the reader through formulation and analysis of models that address forest management problems, focusing on linear, integer, dynamic, and goal programming; simulation; network modeling; and econometrics.
Abstract: This volume provides a survey of quantitative methods, guiding the reader through formulation and analysis of models that address forest management problems. The authors use simple mathematics, graphics, and short computer programs to explain each method. Emphasizing applications, they discuss linear, integer, dynamic, and goal programming; simulation; network modeling; and econometrics, as these relate to problems of determining economic harvest schedules in even-aged and uneven-aged forests, the evaluation of forest policies, multiple-objective decision making, and more.
40 citations
TL;DR: A procedure for integrating several ecosystem services into forest management by using the well-known multi-criteria approach called goal programming, which shows how interactions with various stakeholders are essential in order to choose the goal programming model applied.
Abstract: In this study, we propose a procedure for integrating several ecosystem services into forest management by using the well-known multi-criteria approach called goal programming It shows how interactions with various stakeholders are essential in order to choose the goal programming model applied, as well as some of its basic components (variant, targets, preferential weights, etc) This methodology has been applied to a real forest management case where five criteria have been selected: timber production, wild edible mushroom production, carbon sequestration, net present value of the underlying investment, and a criterion associated with the sustainability of forest management defined by the idea of a normal forest Given the characteristics of some of these criteria, such as mushroom production, the model has been developed in two scenarios: one deterministic and another with a Monte Carlo analysis The results show a considerable degree of conflict between the proposed criteria By applying several goal programming models, different Paretian efficient solutions were obtained In addition, some results in Monte Carlo analysis for several criteria show notable variations This fact is especially notable for the mushroom production criterion Finally, the proposed approach seems attractive and can be directly applied to other forest management situations
40 citations
TL;DR: It is shown that the solution to the linear goal programming problem can be made to always be an efficient solution from which a practical investigation of a subset of efficient solutions which form a useful compromise set is conducted.
39 citations