Downtime model development for construction equipment management

Downtime (DT) caused by non-availability of equipment and equipment breakdown has non-trivial impact on the performance of construction projects. Earlier research has often addressed this fact, but it has rarely explained the causes and consequences of DT – especially in the context of developing countries. This paper presents a DT model to address this issue. Using this model, the generic factors and processes related to DT are identified, and the impact of DT is quantified. By applying the model framework to nine road projects in Nepal, the impact of DT is explored in terms of its duration and cost. The research findings highlight how various factors and processes interact with each other to create DT, and mitigate or exacerbate its impact on project performance. It is suggested that construction companies need to adopt proactive equipment management and maintenance programs to minimize the impact of DT.

Enhancement of Construction Equipment Detection in Video Frames by Combining with Tracking

Vision-based object detection has been introduced in construction for recognizing and locating construction entities in on-site camera views. It can provide spatial locations of a large number of entities, which is beneficial in large-scale, congested construction sites. However, even a few false detections prevent its practical applications. In resolving this issue, this paper presents a novel hybrid method for locating construction equipment that fuses the function of detection and tracking algorithms. This method detects construction equipment in the video view by taking advantage of entities' motion, shape, and color distribution. Background subtraction, Haar-like features, and eigen-images are used for motion, shape, and color information, respectively. A tracking algorithm steps in the process to make up for the false detections. False detections are identified by catching drastic changes in object size and appearance. The identified false detections are replaced with tracking results. Preliminary experiments show that the combination with tracking has the potential to enhance the detection performance.

Noise abatement techniques for construction equipment. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Harbours and docks : their physical features, history, construction, equipment, and maintenance, with statistics as to their commercial development, by Leveson Francis Vernon-Harcourt.

v. 1. Text.--v. 2. Plates.

Use of road and airdrome construction equipment.

"Supersedes TM5-9500, Principles of modern excavation and equipment, 11 August 1942."

Utilization of engineer construction equipment.

Includes index.

Utilization of engineer construction equipment [microform].

"April 1969"--Vol. D-1.

Organizational, direct support and general support maintenance repair parts and special tools lists : tamper, backfill, gasoline engine driven, hand-operated ram type (commercial construction equipment) model VR 11C, NSN 3895-01-151-2749 ; Stone Construction Equipment, Inc., contract number: DAA E07-82-C-6732.

Includes index.

Tamper, backfill, gasoline engine driven, hand-operated, Ram type (commercial construction equipment), model VR11C, NSN 3895-01-151-2749.

"14 June 85"--Cover.

Construction equipment ownership and operating expense schedule.

"September 1997."

Construction equipment ownership and operating expense schedule.

"August 1993."

Construction equipment ownership and operating expense schedule.

"August 1995."