Grant: Engage Grants Program
Université du Québec à Trois-Rivières
$25,000.00
Engineering a business analytics tool combining value chain optimization and marginal value heat map to improve the decision making process at a recycle plant
FY 2017-18
Summary
This project is aimed at applying the knowledge of value chain optimization, business analytics and heat map,more increasingly used for business intelligence, to engineer an advanced business analytic tool for BRQ Fibre& Broyure (BRQ). The objective is to allow the managers of the company to evaluate different businessalternatives on products, customers, suppliers, locations in order to make effective and profitable businessdecisions to support the business growth. BRQ is a Quebec-based company providing recycling services thattransform waste wood from construction, renovation and demolition (CRD) materials into certified cleanindustrial grade materials, such as wood chips, fibrous carbon materials, organic biomass. In businessdevelopment, one of the challenges that the manager faces is to identify the customers and suppliers, which arestrategically located and their demand and supplies are aligned well with their production and stockingcapabilities in order to reduce value chain cost and improve both business operations and profits. Thecomplexity is that recycling process is a divergent process. Different sorting strategies can be used in theprocess, which produces different proportions of products, at different costs, and lead to different inventorylevels. Depending on the customer and supplier locations, selling prices and transportation costs are different.The company also faces seasonal demand and supplies. With the recent upgrading of the enterprise resourceplanning (ERP) system, this project will help the company in advancing the business analytics system and willlead to a significant improvement of the decision making process. In this project, we will work closely with theBRQ managers, engineer and the ERP technical personnel to understand the value chain operations. Then, avalue chain optimization model and marginal value heat map will be developed and connected. This advancedbusiness analytic tool will allow managers to effectively evaluate different business alternatives, visualizebusiness intensity changes and identify the most profitable strategy.
Program
Engage Grants Program
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
513858-2017
Name nom
Audy, JeanFrancois
Department département
Gestion, École de
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
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
1552
Committee name en
Quebec Internal Decision Committee
Committee name fr
Comité de décision interne pour le Québec
Area of application code
902
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Waste, waste management and recycling
Area of application fr
Déchets, gestion des déchets et recyclage
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Partie
1
Nb partie
1
Application title
Engineering a business analytics tool combining value chain optimization and marginal value heat map to improve the decision making process at a recycle plant
Keyword
NSERC
Application summary
This project is aimed at applying the knowledge of value chain optimization, business analytics and heat map,more increasingly used for business intelligence, to engineer an advanced business analytic tool for BRQ Fibre& Broyure (BRQ). The objective is to allow the managers of the company to evaluate different businessalternatives on products, customers, suppliers, locations in order to make effective and profitable businessdecisions to support the business growth. BRQ is a Quebec-based company providing recycling services thattransform waste wood from construction, renovation and demolition (CRD) materials into certified cleanindustrial grade materials, such as wood chips, fibrous carbon materials, organic biomass. In businessdevelopment, one of the challenges that the manager faces is to identify the customers and suppliers, which arestrategically located and their demand and supplies are aligned well with their production and stockingcapabilities in order to reduce value chain cost and improve both business operations and profits. Thecomplexity is that recycling process is a divergent process. Different sorting strategies can be used in theprocess, which produces different proportions of products, at different costs, and lead to different inventorylevels. Depending on the customer and supplier locations, selling prices and transportation costs are different.The company also faces seasonal demand and supplies. With the recent upgrading of the enterprise resourceplanning (ERP) system, this project will help the company in advancing the business analytics system and willlead to a significant improvement of the decision making process. In this project, we will work closely with theBRQ managers, engineer and the ERP technical personnel to understand the value chain operations. Then, avalue chain optimization model and marginal value heat map will be developed and connected. This advancedbusiness analytic tool will allow managers to effectively evaluate different business alternatives, visualizebusiness intensity changes and identify the most profitable strategy.
