Journal Article10.1016/J.CIE.2011.11.027
Multi-coefficients goal programming
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TL;DR: This study deduces a new method, which is called the multi-coefficients goal programming, for group pricing discrimination problems, and an example is given to illustrate the correctness and usefulness of the proposed model.
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About: This article is published in Computers & Industrial Engineering. The article was published on 01 Mar 2012. The article focuses on the topics: Goal programming & Competitive advantage.
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Citations
Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review
TL;DR: A state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and social sciences is presented.
Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions
TL;DR: A novel weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) model for the imprecise decision context wherein several conflicting goals are present but each goal has multiple-choice aspiration levels and the fuzzinesses are expressed in terms of membership functions (MFs).
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Multi-choice mixed integer goal programming optimization for real problems in a sugar and ethanol milling company
TL;DR: In this article, a Multi-Choice Mixed Integer Goal Programming model (MCMI-GP) is proposed for aggregate production planning of a Brazilian sugar and ethanol milling company, which allows decision-makers to set multiple aspiration levels for their problems in which "the more/higher, the better" and "the less/lower, better" in the aspiration levels are addressed.
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Integrated method combining analytical and mathematical models for the evaluation and optimization of sustainable supply chains: A Brazilian case study
Renato de Castro Vivas,Angelo Marcio Oliveira Santanna,Karla Patrícia Santos Oliveira Rodríguez Esquerre,Francisco Gaudêncio Mendonça Freires +3 more
TL;DR: An integrated method for evaluating the sustainability of an oil and gas supply chain is proposed using a combination of analytical and mathematical models and contributes to a hybrid model for decision-making that can be replicated in other companies.
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Revised multi-segment goal programming: Percentage goal programming
TL;DR: A Revised MSGP Model is offered as an aid to burdened decision makers who cannot expect an either-or selection of coefficients in practice and can offer an extension model for practitioners when they use this model to solve related decision problems.
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References
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Philosophy of Natural Science
Carl G. Hempel
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TL;DR: Hempel as mentioned in this paper argued that crucial tests are not sufficient enough to prove or disprove a given hypothesis or to disprove them, and presented his side of this argument using an example of past experiments involving the nature of light.
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Goal programming for decision making: an overview of the current state-of-the-art
TL;DR: Modelling techniques such as detection and restoration of pareto efficiency, normalisation, redundancy checking, and non-standard utility function modelling are overviewed, and the rationality of ranking Multi-Criteria Decision Making techniques is discussed.
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OR Practice—Application of a Probabilistic Decision Model to Airline Seat Inventory Control
TL;DR: In this paper, the authors describe the implementation of a computerized system for making tradeoffs and setting booking limits on future flights at Western Airlines in early 1987, which takes account of the uncertainty associated with estimates of future demand as well as the nested structure of booking limits in airline reservations systems.
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•Journal Article
Airline yield management : an overview of seat inventory control
TL;DR: In this article, a survey of current airline practice indicates that seat inventory control is dependent on human judgment rather than systematic analysis, and there remains a need for practical solution approaches that incorporate quantitative decision tools.
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