Document Type

Closed Project

Publication Date

Summer 2013

Instructor

Timothy Anderson

Course Title

Engineering Management Synthesis

Course Number

ETM 590

Abstract

Due to increases in workplace efficiency and the growth of new businesses, companies have the luxury to select between several different contractors when procuring construction services for all sectors of this industry which hasn’t been the case in the past. This makes their decision making process more complex. The complexity of the business world in today’s market is opening the door for new technology to assist business owners in their decision making. Several tools have been created to weigh the options according to their value drivers and the business needs of the company[11]. These tools are very useful in the decision making process, yet it is imperative that companies select the appropriate tool that fits the best for their final objective. For instance, Data Envelopment Analysis (DEA) is a common tool used when selecting construction contractors; nevertheless it might not always be the best tool for every single project [5]. There is documentation showing companies having had both successes and failures using DEA as their tool of choice for construction [6].Similarly, we have found studies on the use of Analytic Hierarchy Process (AHP) for company analysis specific to the construction industry. This leads us to believe that there should be an overall analysis done prior to selecting a tool, in order to ensure that it’s the appropriate one for that specific project. In this paper, we will use one set of data in two different tools (based on our above mentioned research findings) to figure out which one will have the preferred outcome. Therefore, the two tools we will investigate are Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP) for construction contractor selection.

Description

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/21934

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