Goal Programming as a Solution Technique for the Acquisitions Allocation Problem
Kenneth Wise,D.E. Perushek +1 more
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This article demonstrates how goal programming techniques can be used to provide an optimal allocation solution within the context of conflicting and incommensurate goals.About:
This article is published in Library & Information Science Research.The article was published on 2000-06-01 and is currently open access. It has received 32 citations till now. The article focuses on the topics: Goal programming & Context (language use).read more
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Decision support for the academic library acquisition budget allocation via circulation database mining
TL;DR: A model (ABAMDM, acquisition budget allocation model via data mining) is introduced that addresses the use of descriptive knowledge discovered in the historical circulation data explicitly to support allocating library acquisition budget.
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Pareto-based multi-objective history matching with respect to individual production performance in a heterogeneous reservoir
TL;DR: This study developed an evolutionary algorithm to overcome inefficiency of the objective constraint by introducing preference-ordering and successive objective reduction to the conventional multi-objective optimization module.
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Data mining applied to material acquisition budget allocation for libraries: design and development
TL;DR: A data mining based model (DMBA) is designed and developed to help allocate the library material acquisition budget by opening up the utilization of library materials that users have made use via the combination of explored explanatory knowledge and appropriateness.
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Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reduction
TL;DR: A new Pareto-based evolutionary model incorporated with preference-ordering and objective-dimension reduction to improve the multi-directional searches for multi-objective problems and the performance of the proposed framework is demonstrated in redundant and non-redundant benchmark test problems.
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A Regression-based Approach to Library Fund Allocation
TL;DR: This paper reviews the literature on library fund allocation, then presents a statistically informed method of weighting and combining the variables in a fund allocation formula, which uses a regression-based method to generate a formula that excludes the influence of non-relevant variables.
References
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Book
Management Models and Industrial Applications of Linear Programming
TL;DR: In place of a survey or evaluation of industrial studies, two broad issues which are relevant to all such applications will be discussed, including the use of linear programming models as guides to data collection and analysis and prognosis of fruitful areas of additional research, especially those which appear to have been opened by industrial applications.
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Management Models and Industrial Applications of Linear Programming.
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Goal programming and multiple objective optimizations: Part 1
TL;DR: A survey of recent developments in goal programming and multiple objective optimizations can be found in this paper with emphasis on the authors' own work (with others) in a variety of applications.
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Allocation of Library Funds to Different Departments of a University--an Operational Research Approach
TL;DR: The operational research approach to the problem of allocation of funds to different departments of a university for purchase of books and journals is described and a linear programming model is suggested for solving the allocation problem.