Goal Programming with Utility Function for Funding Allocation of a University Library (original) (raw)
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The Goal Programming, which is using to solve the multiple objective decision problems, has wide and great potential among other methods targeting maximization or minimization of goals. The main aim of the goal programming is to minimize the biases from each objective, instead of optimization of goals. Goal Programming algorithms, as originally developed by Charnels, attempts to achieve as many of these goals possible by minimizing deviation variables from the goal levels, depending on their relative weights. This minimization process has been forming in two categories, which involves preemptive and weighted techniques. In this study, Fuzzy Goal Programming has used to determine optimum allocation of education equipment such as computer and laptop to the faculty members and officers at different level of positions.
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Scope and Purpose-The decision by university libraries to order new journals or cancel existing subscriptions depends on multiple conflicting factors. The faculty's need for a journal, the adjudged rating of the journal, the availability of the journal in other libraries, and budget constraints are among the many conflicting criteria that can be considered in the decision process. Traditional methods used by libraries to select journals for new subscriptions or for their cancellation do not consider all of these conflicting factors objectively. The purpose of this paper is to demonstrate how goal programming (GP) can be used to solve the journal selection and cancellation problem. In addition, this paper discusses the decision and modeling processes necessary to apply GP as a library science aid in the journal selection and cancellation problem.
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Article History: Received: 22 Feb 2018 Revised: 22 Apr 2018 Accepted: 20 June 2018 Background: Prioritization and resource allocation are the most important processes in managing and developing each organization. Given the high turnover and cost of hospitals in health system, this study aimed to provide a model for financial resource allocation with the Goal Programming (GP) in Afzalipour teaching medical center in Kerman. Methods: This mixed method and case-study study was conducted in Afzalipour teaching medical center located in Kerman, south-eastern of Iran. Participating key informants and operation research experts, twelve focus group discussions (FGDs) were developed to extract a goal programming model. Then, the hospital accounting data were collected from 20102013 according to the extracted model. The WinQSB software was used for running the model. Results: The findings of this study showed that the share of personnel costs of this hospital was 72% which 28% was devoted to ...
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A goal programming model is built to optimize the allocation of students into academic departments of a faculty. The goal programming model takes into account the limits of space capacity, financial allocation, the number of instructors and affirmative action quotas as goal constraints that are required to be fulfilled. Each constraint has a priority level and a weight attached. This goal programming model is then applied to the Faculty of Science and Technology, Universiti Kebangsaan Malaysia. The results of the preemptive goal programming model are then compared to that of the current allocation using the weighted mean absolute percentage error. The successful application demonstrates the ability of the goal programming model to comply with the student intake requirement and goal constraints of the academic departments.
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