Journal ArticleDOI
Using AHP for resource allocation problems
TLDR
AHP has been used for solving multi-criteria resource allocation problems by converting them into equivalent single objective, maximization-type LP problems as mentioned in this paper, and at least two approaches can be identified for such applications.About:
This article is published in European Journal of Operational Research.The article was published on 1995-01-19. It has received 125 citations till now. The article focuses on the topics: Preference elicitation & Resource allocation.read more
Citations
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Journal ArticleDOI
Enhance the evaluation quality of project performance based on fuzzy aggregation weight effect
Ching-Cheng Shen,Kun-Lin Hsieh +1 more
TL;DR: A case about performance evaluation of the multiple projects owing to a small and medium enterprise at Taiwan will be applied to demonstrating the rationality and feasibility of proposed approach based on the fuzzy aggregation weight effect incorporating the consensus and differences among evaluation-makers.
Book ChapterDOI
Study on the Comprehensive Safety Assessment of Earth Fill Dam Based on AHP Methods
TL;DR: Based on the theories of Fuzzy Math and Analytic Hierarchy Process (AHP), combining the natural, social and economic characteristics of rock and soil filled dam and adequately considering different factors or indexes imposed on the safe operation of the dam, the general safety assessment of the dams through using multi-stratum fuzzy evaluation has been established.
Journal Article
Optimal Risk Reduction in the Railway Industry by Using Dynamic Programming
Michael Todinov,Eberechi Weli +1 more
TL;DR: In this paper, the authors used dynamic programming techniques for optimal risk reduction in the railway industry and showed that by using the concept of removed risk by a risk reduction option, the problem related to optimal allocation of a fixed budget to achieve a maximum risk reduction was reduced to an optimisation problem from dynamic programming.
Book ChapterDOI
An MCDM Model Based on KL-AHP and TOPSIS and its Application to Weapon System Evaluation
Jian-jun Li,Li-wei Liu +1 more
TL;DR: In this article, a multiple criteria decision-making (MCDM) model based on the proposed KL-AHP and TOPSIS methods is proposed, which combines analytic hierarchy process (AHP) and Kullback-Leibler divergence (KLD) to determine the relative weights of decision criteria, and the technique for order performance by similarity to ideal solution (TOPSIS) is used to obtain the final rankings of the feasible alternatives.
Journal ArticleDOI
Selecting the best responsive option to unexpected orders at the time of capacity-shortage using multi criteria decision models
TL;DR: In this paper, a model consisting of some multicriteria techniques is delivered to evaluate and select the best of the existing options for on-time fulfillment in a make-to-order system.
References
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Book ChapterDOI
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Book
Decisions with Multiple Objectives: Preferences and Value Trade-Offs
TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
Journal ArticleDOI
Multi-Objective Decision Analysis with Engineering and Business Applications
TL;DR: This paper presents a meta-modelling architecture suitable for multiobjective analysis of the decision-Making process and some of the strategies used in this process have been developed.
Journal ArticleDOI
An extension of the analytic hierarchy process for industrial R&D project selection and resource allocation
TL;DR: In this article, an extension of the Analytic Hierarchy Process (AHP) for priority setting and resource allocation in the industrial R&D environment is explored, and an AHP modeling framework is developed, and is linked to a spreadsheet model to assist in the ranking of a large number of project alternatives.