Grant: Engage Grants Program
Nipissing University
$24,926.00
Evaluation and optimized assignment = Successful management
FY 2013-14
Summary
The assignment of tasks to appropriate individuals is the key for success in business management. A pertinent role assignment system creates benefits by optimizing the potentials of every person in a company. To obtain such optimal assignments, quantitative evaluations are the first step. Such evaluations provide good indicators for managers to assign tasks (roles) to human workers manually or mentally. Manage With Success (MWS) is a software product developed by Mr. Sylvain Roy who founded the company (Its legal name is Syl_Roy Management Consulting Inc.). The MWS system assists managers to evaluate their human resources and understand each person's performance within teams. The related visualization tools provide managers with employee profile tracking, employee performance tracking, workplace analysis, employee training, and customer satisfaction tracking. However, the current MWS solution does not support automatic role assignment. Like conventional management tools, MWS can only assist managers to make assignments with manual or mental jobs. It is impossible to obtain an instant optimal assignment of human resources to tasks (or roles) with MWS.Therefore, this proposal provides a new software add-on with efficient algorithms to automate and optimize role assignments. With this new addition, the value of the MWS system will be increased significantly, because the new system will provide automated and optimized role assignment that is not supported by a competitive software product in human resource management in Canada, North America and even in the world. The foundation is in my research on Group Role Assignment Problems (GRAP).
Program
Engage Grants Program
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
449357-2013
Name nom
Zhu, Haibin
Department département
Computer Science
Organization id
44
Institution établissement
Nipissing University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
24926
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
900
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Commercial services
Area of application fr
Services commerciaux
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Partie
1
Nb partie
1
Application title
Evaluation and optimized assignment = Successful management
Keyword
NSERC
Application summary
The assignment of tasks to appropriate individuals is the key for success in business management. A pertinent role assignment system creates benefits by optimizing the potentials of every person in a company. To obtain such optimal assignments, quantitative evaluations are the first step. Such evaluations provide good indicators for managers to assign tasks (roles) to human workers manually or mentally. Manage With Success (MWS) is a software product developed by Mr. Sylvain Roy who founded the company (Its legal name is Syl_Roy Management Consulting Inc.). The MWS system assists managers to evaluate their human resources and understand each person's performance within teams. The related visualization tools provide managers with employee profile tracking, employee performance tracking, workplace analysis, employee training, and customer satisfaction tracking. However, the current MWS solution does not support automatic role assignment. Like conventional management tools, MWS can only assist managers to make assignments with manual or mental jobs. It is impossible to obtain an instant optimal assignment of human resources to tasks (or roles) with MWS.Therefore, this proposal provides a new software add-on with efficient algorithms to automate and optimize role assignments. With this new addition, the value of the MWS system will be increased significantly, because the new system will provide automated and optimized role assignment that is not supported by a competitive software product in human resource management in Canada, North America and even in the world. The foundation is in my research on Group Role Assignment Problems (GRAP).