A Mahalanobis distance-based approach to constrained project assignment among multiple allocation options
Abdulaziz Saud Alkabaa and
Alberto Garcia-Diaz
International Journal of Project Organisation and Management, 2018, vol. 10, issue 2, 158-174
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. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=92091 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpoma:v:10:y:2018:i:2:p:158-174
Access Statistics for this article
More articles in International Journal of Project Organisation and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().