Using AHP for resource allocation problems
TL;DR: 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.
Citations
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01 Jan 2004
TL;DR: An overview of advanced multicriteria approaches, methods and tools used in solving complex agricultural and water management problems is presented in this article, with a critical analysis of their applicability in supporting real-life decision-making processes.
Abstract: :The paper presents an overview of advanced multicriteria approaches, methods and tools used in solving complex agricultural and water management problems A critical analysis of their applicability in supporting real-life decision-making processes is provided with relation to requirements imposed by organizationally decentralized and economically specific spatial and temporal frameworks,typical for lowland agricultural areas in Western BalkansA necessity of careful structuring of decision problems is discussed regarding planning,staging and control aspects within broader agricultural context, and in water management in particular A special emphasis is given to the importance of manipulating decision elements by means of hierarching and clustering Hints are provided how to integrate quantitative and qualitative criteria within unique decision framework Main characteristics of several standard and fuzzy decision-making tools are briefly presented with indication of areas and modes of their preferential use
9 citations
Cites methods from "Using AHP for resource allocation p..."
...In last 2.5 decades it has been used in for analysing various agricultural and water management problems (see Ramanathan and Ganesh, 1995; Alphonse, 1997; Tiwari et al., 1999; Braunschweig et al., 2001; Srdjevic 2002; Srdjevic et al., 2002; Zoranovic and Srdjevic, 2003; Zhang et al., 2004; Chiou,…...
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Journal Article•
TL;DR: In this article, the effectiveness of criteria in choosing Six Sigma projects are identified and defined and the case study in Poly Acryl Corp is illustrated to demonstrate the effectiveness and practicality of the ÂFuzzy multi-criteria decision making approach to select six sigma projects.
8 citations
TL;DR: In this paper, a model based on pairwise comparison matrices is proposed to allocate Formula One World Championship prize money among the constructors, which allows for the use of any weighting method, and makes possible to tune the level of inequality.
Abstract: A model is proposed to allocate Formula One World Championship prize money among the constructors. The methodology is based on pairwise comparison matrices, allows for the use of any weighting method, and makes possible to tune the level of inequality. We introduce an axiom called scale invariance, which requires the ranking of the teams to be independent of the parameter controlling inequality. The eigenvector method is revealed to violate this condition in our dataset, while the row geometric mean method always satisfies it. The revenue allocation is not influenced by the arbitrary valuation given to the race prizes in the official points scoring system of Formula One and takes the intensity of pairwise preferences into account, contrary to the standard Condorcet method. Our approach can be used to share revenues among groups when group members are ranked several times.
8 citations
TL;DR: An operational decision model of the customer decision process in selecting a new hybrid automobile is described and an iterative process is described to fine-tune the attribute weightings, or to obtain alternate choices.
Abstract: This paper describes and analyses an operational decision model of the customer decision process in selecting a new hybrid automobile. Three types of extreme customer profiles are introduced which represent disparate customers of hybrid cars. These profiles provide rankings, or priorities, which are used to establish a baseline of possible user entry. A hierarchical decision model (HDM) implemented in Microsoft Excel uses these priorities, along with expert's pairwise comparisons of the effects of vehicle attributes on these priorities, to select a vehicle make and model from a database of cars and their attributes. An iterative process is described to fine-tune the attribute weightings, or to obtain alternate choices. After the expert weightings are tuned using the three extreme profiles, users need only to enter their priorities for the HDM to choose the best hybrid matching their criteria. Finally, the model is critiqued and suggestions are offered for improvement.
8 citations
Cites background from "Using AHP for resource allocation p..."
..., 2005), resource allocation (Ramanathan and Ganesh, 1995), energy policy (Daim and Intarode, submitted; Daim and Iskin, 2010; Daim et al....
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TL;DR: In this paper, the authors employed a combination of Delphi and analytical hierarchy process (AHP) methods to identify DMA decision criteria and their weights based on electricity companies operating in North America.
Abstract: Purpose
Disaster mutual assistance (DMA) or mutual aid is a reciprocal arrangement between organizations that permits and prearranges one company to access resources from another company to recover from disaster impacts faster. As a practical tool to access response resources quickly, DMA can be an important element of an effective emergency management process, but the decision to provide (or not to provide) DMA is challenging and involves a number of factors. The purpose of this paper is to present the results of a study conducted to identify DMA decision criteria and their weights based on electricity companies operating in North America.
Design/methodology/approach
The authors employed a combination of Delphi and analytical hierarchy process (AHP) methods. Delphi method identified the decision criteria that should be considered before electricity utilities enact their DMA agreements. A standard AHP calculated the weights of identified DMA criteria.
Findings
In total, 11 criteria were identified and classified into three main groups: responding criteria, requesting criteria and disaster criteria. Of the 11, “Emergency Conditions” within the responding criteria group, “Extent of Damage” of the requesting criteria group, and “Size of Disaster”, associated with the disaster criteria group, had the highest weight. Three other factors (“Work Safety Practice”, “Natural Hazards” and “Availability of Resources”) carried a noticeable weight difference, while the remaining factors were weighted relatively lower.
Practical implications
At present, a decision to provide mutual assistance is highly subjective, based on “gut feel”, and dependent on interpersonal relationships between the requestor and the provider. However, mobilizing and dispatching electricity industry crews is a risky and costly operation for both requesting and responding companies and requires careful assessment for which a cost-benefit threshold has not been developed. This cost-benefit perspective is often frowned upon owing to the intended altruistic nature of DMA agreements and its influence on decision makers. The developed criteria in this study are intended to assist electricity companies in making a more informed and quantifiable decision when deliberating a request for mutual assistance. These criteria may also be used by assistance-requesting companies to better identify electricity companies that are more likely to provide assistance to them.
Originality/value
This study contributes to the literature by examining the current state of DMA in electricity utilities, identifying decision criteria and weighing such criteria to enable electricity companies in making more objective decisions, thereby, increasing the overall effectiveness of their disaster management process.
8 citations
References
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01 Jan 1985
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.
Abstract: This chapter provides an overview of Analytic Hierarchy Process (AHP), which is a systematic procedure for representing the elements of any problem hierarchically. It organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pair-wise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy. These judgments are then translated to numbers. The AHP includes procedures and principles used to synthesize the many judgments to derive priorities among criteria and subsequently for alternative solutions. It is useful to note that the numbers thus obtained are ratio scale estimates and correspond to so-called hard numbers. Problem solving is a process of setting priorities in steps. One step decides on the most important elements of a problem, another on how best to repair, replace, test, and evaluate the elements, and another on how to implement the solution and measure performance.
16,547 citations
Book•
01 Jan 1976TL;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.
Abstract: Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how 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. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.
8,895 citations
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.
Abstract: Keywords: Decision-Making ; multiobjective analysis Reference Record created on 2005-06-20, modified on 2016-08-08
729 citations
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.
Abstract: The research and development project selection decision is concerned with the allocation of resources to a set of proposals for scientific and engineering activities. The project selection and resource allocation process can be viewed as a multiple-criteria decision-making problem, within the context of the long-range and strategic planning process of the firm. The purpose of this paper is explore the applicability of an extension of the Analytic Hierarchy Process (AHP) for priority setting and resource allocation in the industrial R&D environment. In this paper, an AHP modeling framework for the R&D project selection decision is developed, and is linked to a spreadsheet model to assist in the ranking of a large number of project alternatives. Next, cost-benefit analysis and integer programming are used to assist in the resource allocation decision. The paper concludes with an evaluation of the suitability of this approach as an expert support system, and directions for future research and testing.
260 citations