Title: A Mahalanobis distance-based approach to constrained project assignment among multiple allocation options

Authors: Abdulaziz Saud Alkabaa; Alberto Garcia-Diaz

Addresses: Department of Industrial and Systems Engineering, The University of Tennessee, Knoxville, TN 37996, USA ' Department of Industrial and Systems Engineering, The University of Tennessee, Knoxville, TN 37996, USA

Abstract: This paper develops an analytical approach for selecting projects that are most attractive for development from an economic point of view and assigning them to one of several implementation options. These options represent alternative ways to develop projects, such as private contractors and an in-house group. A relevant limiting resource in addition to the availability of funds is the in-house manpower availability. The concept of Mahalanobis distance (MD) is used as the classification criterion to select the most appropriate option for any project. The allocation methodology is formulated using two binary integer programming models. The first formulation maximises the dollar value of benefits derived from those projects being implemented subject to budget, total-sum of projects MDs, and in-house manpower constraints. The second formulation minimises the total-sum of project MDs subject to budget and in-house manpower constraints. For illustration purposes, the proposed approach is used in an application involving seal coat.

Keywords: project resources allocation; Mahalanobis distance; constrained project selection; multiple-option project selection and allocation; project organisation and management.

DOI: 10.1504/IJPOM.2018.092091

International Journal of Project Organisation and Management, 2018 Vol.10 No.2, pp.158 - 174

Received: 14 Sep 2017
Accepted: 07 Jan 2018

Published online: 31 May 2018 *

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