APPLICATION OF AKPAN’S METHOD IN OPTIMUM RESOURCE USAGE IN CONSTRUCTION PROJECTS: A MULTIPLE RESOURCE CASE Cover Image

APPLICATION OF AKPAN’S METHOD IN OPTIMUM RESOURCE USAGE IN CONSTRUCTION PROJECTS: A MULTIPLE RESOURCE CASE
APPLICATION OF AKPAN’S METHOD IN OPTIMUM RESOURCE USAGE IN CONSTRUCTION PROJECTS: A MULTIPLE RESOURCE CASE

Author(s): Benedict Amade
Subject(s): Business Economy / Management
Published by: Udruženje za upravljanje projektima - IPMA Srbija
Keywords: Akpan’s method/heuristic; construction projects; multiple resources; Microsoft Project; resource management

Summary/Abstract: Inadequate planning of resource utilization profile often results in idle resource usage, which may lead to wastage or increase in cost in no distant time. The need to deploy an optimum method of management of construction project resources is eminent given the desire to utilize resources by means of deploying heuristics that guarantees optimal or near-optimal solutions. The objective of this study was to maximize resource utilization efficiency using the Akpan’s method/heuristics in a typical construction project using multiple resources. In order to conceptualize this research, a myriad of articles on resource allocation and management were reviewed. A case study method was adopted for the study. Secondary data in the form of performance data (statement of work program) were collected and factored into Microsoft project 2010 version and a programmed software using the Akpan’s heuristic in formulating and generating the multi-resource iteration. The findings from the study depict a clear and optimum resource use among the four (4) resources subjected to the method/heuristic. There was a difference of eight (8) weeks between the duration of the project using the method/ heuristic and when the Microsoft project was used. The Akpan’s method/heuristic was adjudged a better option if the objective of optimum resource use is of importance compared to the duration of the project.

  • Issue Year: 6/2016
  • Issue No: 1
  • Page Range: 71-80
  • Page Count: 10
  • Language: English