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 novel fuzzy goal programming method is proposed, where the hierarchical levels of the goals are imprecisely defined, and the imprecising importance relations among the Goals are modelled using fuzzy relations.
75 citations
TL;DR: A multi-objective mathematical model under several constraints (some of which are fuzzy) is developed to attain multiple goals simultaneously and it is demonstrated that certain renewable energy generation alternatives are superior where the necessary renewable energy resources are efficiently assessed.
75 citations
TL;DR: This paper develops the formal framework of ant programming and adopts on the one hand concepts of optimal control, and on the other hand the ant metaphor suggested by ant colony optimization.
Abstract: This paper develops the formal framework of ant programming with the goal of gaining a deeper understanding on ant colony optimization and, more in general, on the principles underlying the use of an iterated Monte Carlo approach for the multi-stage solution of combinatorial optimization problems. Ant programming searches for the optimal policy of a multi-stage decision problem to which the original combinatorial problem is reduced. In order to describe ant programming we adopt on the one hand concepts of optimal control, and on the other hand the ant metaphor suggested by ant colony optimization. In this context, a critical analysis is given of notions such as state, representation, and sequential decision process under incomplete information.
75 citations
TL;DR: The schematization given here is a good start and may eventually be improved upon in subsequent revisions by extending the criteria used and by further debating the importance of these criteria and their pertinence in evaluating the methods of multi-criteria decision making (MCDM).
75 citations
TL;DR: A Multi-Criteria Decision Making (MCDM) approach is proposed to achieve effective problem-solving by combining the following three methods: decision making trial and evaluation laboratory, analytical network process (ANP), and zero-one goal programming (ZOGP).
Abstract: It is widely accepted that a business requires constantly evolving strategies that can not only adapt to external environmental change but also identify internal value-added activities and, even more effectively, achieve the goals of management. A sourcing decision about whether to keep IT functions in-house or contract with a third-party service provider is nevertheless entirely strategic and contingent upon organizational goals and contextual and project-specific factors. In order to adequately evaluate such sourcing decision and ensure that tasks can be assigned appropriately, this article proposes a Multi-Criteria Decision Making (MCDM) approach to achieve effective problem-solving by combining the following three methods: decision making trial and evaluation laboratory (DEMATEL), analytical network process (ANP), and zero-one goal programming (ZOGP). The final research results reveal that an organization can - simultaneously - not only take advantage of its internal or external resources to set priorities for task arrangements within the portfolio of sourcing decisions, but also optimize operating strategy and management despite limited resources after consulting with the expert panel.
75 citations