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Bamana, F, Lehoux, N and Cloutier, C (2019) Simulation of a Construction Project: Assessing Impact of Just-in-Time and Lean Principles. Journal of Construction Engineering and Management, 145(05).
Cai, J, Li, S and Cai, H (2019) Empirical Analysis of Capital Structure Determinants in Infrastructure Projects under Public–Private Partnerships. Journal of Construction Engineering and Management, 145(05).
Ercan, T (2019) New Three-Part Model of Innovation Activity in Construction Companies. Journal of Construction Engineering and Management, 145(05).
Firouzi, A and Vahdatmanesh, M (2019) Applicability of Financial Derivatives for Hedging Material Price Risk in Highway Construction. Journal of Construction Engineering and Management, 145(05).
Hussain, S, FangWei, Z and Ali, Z (2019) Examining Influence of Construction Projects’ Quality Factors on Client Satisfaction Using Partial Least Squares Structural Equation Modeling. Journal of Construction Engineering and Management, 145(05).
Lee, J, Park, M, Lee, H and Hyun, H (2019) Classification of Modular Building Construction Projects Based on Schedule-Driven Approach. Journal of Construction Engineering and Management, 145(05).
Lestari, R I, Guo, B H W and Goh, Y M (2019) Causes, Solutions, and Adoption Barriers of Falls from Roofs in the Singapore Construction Industry. Journal of Construction Engineering and Management, 145(05).
Lingard, H, Pirzadeh, P and Oswald, D (2019) Talking Safety: Health and Safety Communication and Safety Climate in Subcontracted Construction Workgroups. Journal of Construction Engineering and Management, 145(05).
Liu, C, Ji, W, AbouRizk, S M and Siu, M F (2019) Equipment Logistics Performance Measurement Using Data-Driven Social Network Analysis. Journal of Construction Engineering and Management, 145(05).
- Type: Journal Article
- Keywords: Resource planning; Equipment management; Social network analysis;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001659
- Abstract:
The construction industry relies heavily on the use of equipment. Equipment management for a single project is, in itself, challenging, and large contractors who want to achieve long-term success must also manage equipment at an intraorganizational level. While vast amounts of data are collected and updated dynamically to track equipment status within an organization, current practices do not consider these data during the decision-making process. Rather, companies often rely on a single metric, equipment utilization, for evaluating management performance. Inspired by the ability of social network analysis (SNA) to examine the interactions and relationships between objects, a SNA-based method for investigating equipment movement between project sites and equipment shops is proposed. This study proposes a novel performance metric, the direct dispatch index (DDI), which adds a distance weight to the clustering coefficient of SNA, to measure equipment dispatching performance from equipment logistics data. Historical equipment logistics data from the equipment and project management systems of a company in Alberta, Canada, were used to demonstrate the functionality and feasibility of the proposed approach. The methodology was found capable of evaluating the logistical effort associated with equipment dispatch and planning, thereby enhancing equipment management through improved decision-making.
Niu, Y, Anumba, C and Lu, W (2019) Taxonomy and Deployment Framework for Emerging Pervasive Technologies in Construction Projects. Journal of Construction Engineering and Management, 145(05).
Solheim-Kile, E and Wald, A (2019) Extending the Transactional View on Public–Private Partnership Projects: Role of Relational and Motivational Aspects in Goal Alignment. Journal of Construction Engineering and Management, 145(05).
Wong, F K, Chiang, Y, Abidoye, F A and Liang, S (2019) Interrelation between Human Factor–Related Accidents and Work Patterns in Construction Industry. Journal of Construction Engineering and Management, 145(05).
Yazdani, M, Abdi, M R, Kumar, N, Keshavarz-Ghorabaee, M and Chan, F T S (2019) Improved Decision Model for Evaluating Risks in Construction Projects. Journal of Construction Engineering and Management, 145(05).
Yu, Y, Yang, X, Li, H, Luo, X, Guo, H and Fang, Q (2019) Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers. Journal of Construction Engineering and Management, 145(05).
Zhao, Z, Guo, X and Chang, R (2019) Market Concentration and Competitive Intensity of the International Engineering Contracting Industry. Journal of Construction Engineering and Management, 145(05).