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Akhavian, R and Behzadan, A H (2013) Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. Journal of Construction Engineering and Management, 139(11).

Chou, J, Irawan, N and Pham, A (2013) Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success. Journal of Construction Engineering and Management, 139(11).

De Jarnette, V, McCarthy, L M, Bennert, T and Guercio, M C (2013) Use of Mechanistic-Empirical Pavement Design Principles to Assign Asphalt Pavement Pay Factor Adjustments. Journal of Construction Engineering and Management, 139(11).

El Asmar, M, Hanna, A S and Loh, W (2013) Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems. Journal of Construction Engineering and Management, 139(11).

Goedert, J D and Sekpe, V D (2013) Decision Support System–Enhanced Scheduling in Matrix Organizations Using the Analytic Hierarchy Process. Journal of Construction Engineering and Management, 139(11).

  • Type: Journal Article
  • Keywords: Planning; Scheduling; Project management; Algorithms; Decision support systems; Organizations; Planning; Scheduling; Project management; Heuristics; Decision support systems; Organizations; Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000734
  • 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.

Hindman, D P, Timko, P D and Nussbaum, M A (2013) Mechanical Response of Unbraced Wood Composite I-Joist to Walking Loads. Journal of Construction Engineering and Management, 139(11).

Hwang, B and Soh, C K (2013) Trade-Level Productivity Measurement: Critical Challenges and Solutions. Journal of Construction Engineering and Management, 139(11).

Jiang, H, Xu, Y and Liu, C (2013) Construction Price Prediction Using Vector Error Correction Models. Journal of Construction Engineering and Management, 139(11).

Kang, Y, Kim, C, Son, H, Lee, S and Limsawasd, C (2013) Comparison of Preproject Planning for Green and Conventional Buildings. Journal of Construction Engineering and Management, 139(11).

Leung, M, Yu, J and Liang, Q (2013) Improving Public Engagement in Construction Development Projects from a Stakeholder’s Perspective. Journal of Construction Engineering and Management, 139(11).

Ning, Y and Ling, F Y Y (2013) Reducing Hindrances to Adoption of Relational Behaviors in Public Construction Projects. Journal of Construction Engineering and Management, 139(11).

Pikas, E, Sacks, R and Hazzan, O (2013) Building Information Modeling Education for Construction Engineering and Management. II: Procedures and Implementation Case Study. Journal of Construction Engineering and Management, 139(11).

Praticò, F G (2013) New Road Surfaces: Logical Bases for Simple Quality-Related Pay Adjustments. Journal of Construction Engineering and Management, 139(11).

Sacks, R and Pikas, E (2013) Building Information Modeling Education for Construction Engineering and Management. I: Industry Requirements, State of the Art, and Gap Analysis. Journal of Construction Engineering and Management, 139(11).

Thomas, A, Davis, B, Dadi, G B and Goodrum, P M (2013) Case Study on the Effect of 690 mpa (100 ksi) Steel Reinforcement on Concrete Productivity in Buildings. Journal of Construction Engineering and Management, 139(11).

Won, J, Lee, G, Dossick, C and Messner, J (2013) Where to Focus for Successful Adoption of Building Information Modeling within Organization. Journal of Construction Engineering and Management, 139(11).