Grant: Alliance Grants
Ryerson University
$50,000.00
Developing a decision support tool to optimize manufacturing for productivity and safeguarding the workforce against COVID-19_x000d_ _x000d_
FY 2020-21
Summary
As Phase 1 of Ontario's 3-phase reopening of the economy just started, the government and health and safety associations have provided more than 90 workplace safety guidelines to help employers keep their workers safe and healthy while continuing their business operation. The guidelines are sector-specific aiming to prevent the spread of COVID-19 in various workplaces. For example, the guidelines for manufacturing sector provides instructions on physical distancing, workplace sanitation, and adjusting onsite production schedules.
Given the workplace safety guidelines, manufacturers need to make hard decision of determining the right measures to minimize the pandemic health risk to their employees while still maintaining the continuity of their production. The objective of this research is to develop a decision support tool, which determines the optimal daily planning of the production and workforce in a manufacturing process. The decision support tool will maximize manufacturing health and safety and minimize the production loss due to not meeting the customers' demands during the COVID-19 pandemic.
It is expected that the implementation of the tool's recommended optimal plans will result in maximizing the safety of personnel, meeting the demand, and minimizing the production cost. The tool will help manufacturers adhere to the workplace safety guidelines and have their businesses running during the pandemic.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
554472-2020
Name nom
TAGHIPOUR, SHARAREH
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
1604
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Manufacturing
Research subject fr
Fabrication
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Developing a decision support tool to optimize manufacturing for productivity and safeguarding the workforce against COVID-19_x000d_
_x000d_
Keyword
NSERC
Application summary
As Phase 1 of Ontario's 3-phase reopening of the economy just started, the government and health and safety associations have provided more than 90 workplace safety guidelines to help employers keep their workers safe and healthy while continuing their business operation. The guidelines are sector-specific aiming to prevent the spread of COVID-19 in various workplaces. For example, the guidelines for manufacturing sector provides instructions on physical distancing, workplace sanitation, and adjusting onsite production schedules.
Given the workplace safety guidelines, manufacturers need to make hard decision of determining the right measures to minimize the pandemic health risk to their employees while still maintaining the continuity of their production. The objective of this research is to develop a decision support tool, which determines the optimal daily planning of the production and workforce in a manufacturing process. The decision support tool will maximize manufacturing health and safety and minimize the production loss due to not meeting the customers' demands during the COVID-19 pandemic.
It is expected that the implementation of the tool's recommended optimal plans will result in maximizing the safety of personnel, meeting the demand, and minimizing the production cost. The tool will help manufacturers adhere to the workplace safety guidelines and have their businesses running during the pandemic.