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Journal ArticleDOI

An extension of the analytic hierarchy process for industrial R&D project selection and resource allocation

TLDR
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.

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Citations
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The measure and characteristics of spatial-temporal evolution of China’s science and technology resource allocation efficiency

TL;DR: In this article, the authors analyzed and discussed the spatial distribution pattern and evolution trend of S&T resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis (ESDA).
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An analytical hierarchy approach to facility layout

TL;DR: The proposed constructive model, based on Saaty's Analytical Hierarchy Process, rates the set of pairs of potentially adjacent departments with respect to both qualitative and quantitative criteria to solve the facility layout problem.
Journal ArticleDOI

Integrating the analytic hierarchy process andgraph theory to model facilities layout

TL;DR: A new way of recognizing the multi-criteria nature of layout design is introduced by integrating the Analytic HierarchyProcess with a graph theoretic-based DSS for producing a scaled block plan.
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A Framework for Integrating Capital Budgeting Analysis with Strategy

TL;DR: In this paper, three approaches for structuring AHP hierarchies, including the Mission, Objectives, and Strategy (MOS) framework for strategic planning, are presented for capital investment analysis.
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Prioritizing processes in initial implementation of statistical process control

TL;DR: In this paper, an analytic hierarchy process approach based on pair-wise comparisons between several factors in deciding the relative criticality of the processes in a hierarchy structure is studied, which can be used in management decision making in planning for statistical process control (SPC) implementation.
References
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Journal ArticleDOI

A Scaling Method for Priorities in Hierarchical Structures

TL;DR: A method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix is investigated, showing that λmax = n is a necessary and sufficient condition for consistency.
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Marketing Applications of the Analytic Hierarchy Process

TL;DR: The thrust of the paper is a discussion of a number of illustrative applications of the AHP covering the following areas: the portfolio decisions of a firm whose management is concerned with the determination of the desired target portfolio and allocation of resources among its components.
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Incomplete pairwise comparisons in the analytic hierarchy process

TL;DR: In this article, the authors explore various methods for reducing the complexity of the preference eliciting process in a group decision-making session, where the group structures the problem in a hierarchical framework and pairwise comparisons are elicited from the group for each level of the hierarchy.
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An Experimental Comparison of Different Approaches to Determining Weights in Additive Utility Models

TL;DR: In this paper, Saaty et al. compared five conceptually different approaches in terms of their weights and predictive ability, and found that on average, the methods predicted about equally well, except for unit weighting which was clearly inferior.
Journal ArticleDOI

R & D project selection models: An assessment

TL;DR: The existing normative R&D benefit measurement and project selection literature is assessed and the limitations inherent in the proposed models are determined.
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