Using AHP for resource allocation problems

Ramanathan, Ramakrishnan; Ganesh, L.S.

doi:10.1016/0377-2217(93)e0240-x

Cited by 96 publications

(50 citation statements)

References 3 publications

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“…Earlier attempts of theoretical AHP development can be found in Belton and Gear [4]; Dyer [15]; Satty [67][68][69]; and Basak and Satty [2]. The wide spectrum of AHP applications can be seen in the literature too [57,62,77]. Hence, AHP may help determine the priorities of alternatives independently for every criterion at each level in our study.…”

Section: Determination Of the Weighting Factorsmentioning

confidence: 91%

Optimal Site Selection of Watershed Hydrological Monitoring Stations Using Remote Sensing and Grey Integer Programming

Chang

Makkeasorn

2009

Environ Model Assess

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Precipitation, infiltration and percolation, stream flow, plant transpiration, soil moisture changes, and groundwater recharge are all intimately related with each other to form water balance dynamics on the surface of the Earth. To monitor change in hydrological systems with minimum effort, however, hydrological monitoring networks at the watershed scale should be deployed at critical locations to advance the monitoring and sensing capability. One of the science questions is how to develop an optimum arrangement/ distribution strategy of those monitoring platforms with respect to hydrological components subject to technical and resources constraints. While the complexities arise from the integration of highly heterogeneous data streams in the hydrological cycle under uncertainty, there is an acute need to develop a site screening and sequencing procedure permitting a cost-effective search for final site selection. This paper purports to develop such an approach to address the optimal site selection strategy by integrating satellite remote sensing images with a grey integer programming (GIP) model. The approach uses spatial information on the range of likely values temporally encountered for a number of biophysical descriptors in support of the optimization analysis under uncertainty. Practical implementation was assessed by a case study in a semi-arid watershed-the Choke Canyon Reservoir watershed, south Texas. GIS-based GIP modeling technique successfully supports the screening and sequencing mechanism based on the composite satellite images, which smoothly prioritizes the relative importance and provides the rank order scores across all candidate sites. With the aid of such a synergistic approach, seven locations out of 563 candidate sites were eventually selected and confirmed by a field investigation.

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Section: Determination Of the Weighting Factorsmentioning

confidence: 91%

Optimal Site Selection of Watershed Hydrological Monitoring Stations Using Remote Sensing and Grey Integer Programming

Chang

Makkeasorn

2009

Environ Model Assess

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“…Fuzzy MCDM has also been applied to transportation development, such as the ranking of road investments by Pearman et al (1989), the assessment of the influence of highway constructions with AHP by Azis (1990), and the selection of constructors or procurement methods (Fong and Choi 2000;Al-Subhi Al-Harbi 2001;Mahdi et al 2002). Its applications to budget allocation include a mixed integer knapsack model for allocating funds to highway safety improvements by Emanuel and Kozanidis (2002), budget allocations with the Target Planning Model for academic organizations by Kwak and Diminnie (1987), resource allocation with the AHP by Ramanathan and Ganesh (1995), the use of a genetic algorithm to resolve budget allocation issues for historical site renovations by Perng et al (2007), the use of a non-linear planning model to process the optimal financial budgets of software development projects by Han et al (2005), and the use of multi-attribute utility theory to allocate budgets for infrastructure renewal projects in universities by Karydas and Gifun (2006). These research studies have produced good results in the selection or ranking of projects with fuzzy MCDM to tackle unquantifiable or qualitative issues, apart from budget allocations.…”

Section: Literature Reviewmentioning

confidence: 99%

Systematic budget allocation for transportation construction projects: a case in Taiwan

2009

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“…Moreover, the AHP is often used to address various kinds of situation problems, such as weight determination, alternative assessment, quality management, resource allocation, and strategic planning (Liberatore, 1987;Cheng and Mon, 1994;Kwong and Bai, 2002;Ahsan and Bartema, 2004;Melón et al, 2008;Hermans and Thissen, 2009;Luca, 2014). Arbel and Orgler (1990) introduced and described the AHP method to evaluate a strategy for bank mergers and acquisitions, while Ramanathan and Ganesh (1995) applied the AHP to solve the multi-criteria problem of resource allocation, by transforming the multi-criteria problem to a single-objective linear programming problem. In addition, based on the AHP, Tam and Tummala (2001) developed a model to evaluate a vendor of telecommunications system, while Zeki (2005) developed a fuzzy method to evaluate a concept involving new product development.…”

Section: Introductionmentioning

confidence: 99%

A group consensus model for evaluating real estate investment alternatives

Kou

2016

Financ Innov

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Background: Individual decision-making largely influences the effectiveness of decisions and benefits of investments. Methods: In this article, a consensus model for group decision-making (GDM), based on the analytic hierarchy process (AHP), is developed to gather group ideas and analyze the real estate investment environment under multi-criteria problems. Twelve evaluation procedures of the developed model, which increase the convergence of the opinions of multiple experts, are proposed. Results: An empirical case about the real estate investment environment is applied to certify the feasibility of this developed model. Conclusions: the evaluation procedures have been fully observed with several rounds of discussions, and have manifested the experiences of experts. Besides, the evaluation results are in accordance with real-world situations, which demonstrates that our developed model is a feasible analysis tool for real estate investors to obtain better profits and lower risk.

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Using AHP for resource allocation problems

Cited by 96 publications

References 3 publications

Optimal Site Selection of Watershed Hydrological Monitoring Stations Using Remote Sensing and Grey Integer Programming

Optimal Site Selection of Watershed Hydrological Monitoring Stations Using Remote Sensing and Grey Integer Programming

Systematic budget allocation for transportation construction projects: a case in Taiwan

A group consensus model for evaluating real estate investment alternatives

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