Decision Support System–Enhanced Scheduling in Matrix Organizations Using the Analytic Hierarchy Process

Abstract

This paper presents a conceptual approach to scheduling multiple projects in a matrix organization with rapidly changing and sometimes competing objectives using the analytical hierarchy process (AHP) within a decision support system (DSS). This approach increased the analytical capabilities and scheduling efficacy of traditional scheduling processes in a medium-sized electric utility company. The purpose of this paper is to establish a logical framework for scheduling multiple projects with competing priorities while taking into account all known corporate organizational constraints. Traditional scheduling techniques such as the program evaluation and review technique and critical-path method are heavily based on time constraints and resource availability, neglecting factors such as customer satisfaction, organizational financial objectives, political risks, and other intangible parameters that greatly influence scheduling processes. The primary contribution of this paper is a conceptual framework that offers a platform to incorporate tangible and intangible variables into a decision support system using AHP for scheduling multiple projects with competing objectives in matrix organizations. The results of the application showed that, when compared with traditional scheduling methods, this DSS model with integrated AHP showed improvements in prioritizing in accordance with political risks, cash-flow demands, and crew allocation. It appears to be a superior solution for solving prioritization issues in matrix organizations.