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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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Journal ArticleDOI

Preference programming for robust portfolio modeling and project selection

TL;DR: The Robust Portfolio Modeling methodology is developed, which extends Preference Programming methods into portfolio problems where a subset of project proposals are funded in view of multiple evaluation criteria, and a project-level index is proposed to convey which projects are robust choices and how continued activities in preference elicitation should be focused.
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Supplier selection and management system considering relationships in supply chain management

TL;DR: The methodology identifies the managerial criteria using information derived from supplier selection process and makes use of them in the supplier management process.
Journal ArticleDOI

A Theoretical Framework for Managing the New Product Development Portfolio: When and How to Use Strategic Buckets

TL;DR: It is shown that time commitment determines the balance between incremental and radical innovation, and a normative theoretical framework is characterized that addresses a popular practice in NPD portfolio management: the use of strategic buckets.
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The AHP approach for selecting an automobile purchase model

TL;DR: This paper presents a new methodological extension of the AHP by focusing on two issues: one combines pairwise comparison with a spreadsheet method using a 5-point rating scale and the other applies the group weight to a reciprocal consistency ratio.
Journal ArticleDOI

The state of the art development of AHP (1979–2017): a literature review with a social network analysis

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.
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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