Analysis and Optimization for Industrial Safety and Efficiency: Novel Methods for scheduling Resources under Learning-Forgetting Effects

Irwin’s Industrial Safety, as a leading provider of safety and project management services, has collected safety and efficiency data over a list of projects since 2013. As a part of Mitacs Accelerate project, those data have been analyzed and the results have been visualized to enlighten opportunities for future optimization. This research proposes a framework to integrate the safety and efficiency data of projects in the consulting services that Irwin’s provide for its clients. As a result of the proposed framework, stakeholders (Irwin’s, its clients, contractors) will reduce incidents and accidents in the projects as well as reduce inefficiencies in terms of time and cost. In addition, an optimal resource allocation model that incorporates the unique attributes of this project will be developed. Studies show that learning (the ability to do a job faster due to repeating) and forgetting (increasing the time to finish a job due to interruptions and breaks) significantly affect the duration of activities and the utilization of resources. This project will incorporate learning and forgetting in the scheduling of resources benefits Irwin’s to reduce the delays, financial penalties, and incidents due to congested activities.

Faculty Supervisor:

Warren Hare

Student:

Partner:

Irwin's Safety and Industrial Labour Services Ltd

Discipline:

Engineering

Sector:

Construction and infrastructure; Other services (except public administration)

University:

The University of British Columbia - Okanagan

Program: