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.
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TL;DR: A literature review of the applications of Analytic Hierarchy Process, which aims to provide a ready reference on AHP, and act as an informative summary kit for the researchers and practitioners for their future work.
2,717 citations
Cites methods from "Using AHP for resource allocation p..."
...Ramanathan and Ganesh [109] used AHP for resource allocation problems....
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...Allocation [76] [6,7,21] [15,103] [109] [82] [59] General management [114]...
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TL;DR: A comprehensive listing of AHP applications in operations management is presented and a framework for identifying the decision areas that have better research gaps to be studied by future researchers is developed.
516 citations
TL;DR: In this paper, the authors identify the competitiveness of container ports in China including Hong Kong from the outsiders' perspective, using the framework of the Analytic Hierarchy Process, and provide managerial and strategic implications.
Abstract: Over 20% of the world's container traffic occurs from Asian ports. China's entry into the market has significantly stimulated this process. Since China adopted its liberalised economic policy in the 1970s, its economy has grown at an average rate of 10% or more per annum. In particular, the efforts and investments that have been poured into its container ports are conspicuous, since approximately 90% of the country's international trade (in volume terms) is handled through maritime transport. Chinese ports (especially container ports), however, have a number of problems, such as bureaucratic administration, insufficient facilities, the lack of service and commercial orientation and inefficient operations. This paper aims to identify the competitiveness of container ports in China including Hong Kong from the outsiders’ perspective, using the framework of the Analytic Hierarchy Process, and to provide managerial and strategic implications. As expected, the findings reveal that, in terms of competitiveness, Hong Kong, Shanghai and Yantian rank first, second and third, respectively.
264 citations
TL;DR: The pattern of development of the AHP research field is examined using social network analysis and scientometrics, and its intellectual structure is identified, and two types of networks are analysed: social networks and cognitive mapping or the network of disciplines affected by AHP.
Abstract: Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions.
229 citations
Cites background from "Using AHP for resource allocation p..."
...Two of these co-authored papers consist of applications of AHP to the energy sector (Ramanathan and Ganesh, 1994a) and energy allocation problems (Ramanathan and Ganesh, 1995a)....
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...A number of successful applications have been described in the context of the management of limited resources (Ramanathan and Ganesh, 1995b), computer science applications, the transportation sector (Caliskan, 2006; Ferrari, 2003) strategic planning (Cengiz Toklu et al., 2016) and in the area of…...
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TL;DR: In this paper, a mathematical analysis of the analytical hierarchy process (AHP) is presented, constructing the functional form of the preference weightings given to groups of decision alternatives in the DS/AHP method.
216 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