Level: Intermediate
TCM Section(s)
10.3. Change Management
6.4. Forensic Performance Assessment
Venue: 2024 AACE International Conference & Expo
Abstract: Calculating or estimating the equipment's lost productivity is one of the most contentious aspects of construction claims. In addition, assigning responsibility for equipment lost productivity can be challenging. Consequently, the majority of industry studies and protocols concentrate on labour productivity loss rather than equipment productivity loss. In addition, there is no consensus in the construction industry regarding the preferable method for calculating and allocating responsibility for equipment lost productivity. Moreover, an effective presentation of causal relationships facilitates the procedure for claim resolution. In actuality, the improvement of the claim analysis process is contingent upon augmenting the precision and illustration of a claim case.
In the oil sand mining industry, various equipment reliability systems are utilized as a practical instrument for equipment productivity management. This study examined the various causes of equipment productivity loss, its relationship to idle time, the techniques used to calculate idle time, the methods used to calculate equipment lost productivity, and introducing a new equipment disruption model employing Overall Equipment Effectiveness (OEE) method used for equipment lost productivity, discrete-event simulation, and oil sand equipment reliability system.
TCM Section(s)
10.3. Change Management
6.4. Forensic Performance Assessment
Venue: 2024 AACE International Conference & Expo
Abstract: Calculating or estimating the equipment's lost productivity is one of the most contentious aspects of construction claims. In addition, assigning responsibility for equipment lost productivity can be challenging. Consequently, the majority of industry studies and protocols concentrate on labour productivity loss rather than equipment productivity loss. In addition, there is no consensus in the construction industry regarding the preferable method for calculating and allocating responsibility for equipment lost productivity. Moreover, an effective presentation of causal relationships facilitates the procedure for claim resolution. In actuality, the improvement of the claim analysis process is contingent upon augmenting the precision and illustration of a claim case.
In the oil sand mining industry, various equipment reliability systems are utilized as a practical instrument for equipment productivity management. This study examined the various causes of equipment productivity loss, its relationship to idle time, the techniques used to calculate idle time, the methods used to calculate equipment lost productivity, and introducing a new equipment disruption model employing Overall Equipment Effectiveness (OEE) method used for equipment lost productivity, discrete-event simulation, and oil sand equipment reliability system.