Case study | Maltech from Groupe Sotrem Maltech

Catégorie	Avant Epura	Après Epura	Économies/mois
Filtres (matériel)	—	—	—
Main-d'œuvre maintenance	—	—	—
Arrêts machine (downtime)	—	—	—
Carburant	—	—	—
TOTAL	—	—	—

Catégorie

Avant Epura

Après Epura

Économies/mois

Filtres (matériel)

—

Main-d'œuvre maintenance

—

Arrêts machine (downtime)

—

Carburant

—

TOTAL

—

Variable	Source	Formule / Formula	Statut
fleet	Saisie / Input	Nombre d'unités dans la flotte	OK
operatingHoursPerMonth	Saisie / Input	Heures d'opération/mois par machine	OK
filterCost	Saisie / Input	Coût des filtres actuels par changement ($)	OK
filterChangesPerMonth	Saisie / Input	Nb changements/mois par machine	OK
downtimeCostPerHour	Saisie / Input	Coût horaire d'arrêt machine ($/h)	OK
downtimeHoursPerChange	Saisie / Input	Heures d'arrêt par changement	OK
laborRate	Saisie / Input	Taux horaire MO maintenance ($/h)	OK
numEmployees	Saisie / Input	Employés par changement (1–3)	OK
changeTimeHours	Saisie / Input	Temps par changement (h)	OK
epuraFilterLife	Saisie / Input	Durée de vie filtre Epura (h), défaut 3000	OK
fuelConsumption	Saisie / Input	Consommation carburant (L/h ou gal/h)	OK
fuelPrice	Saisie / Input	Prix du carburant ($/L ou $/gal)	OK
fuelSavingPct	Slider / Input	% économies carburant Epura (1–10%)	OK
systemPricePerUnit	Produits DB	Prix unitaire système Epura sélectionné	Null si XLG
epuraChangesPerMonth	Calculé	operatingHoursPerMonth / epuraFilterLife	OK
laborSavings	Calculé	(laborRate × numEmployees × changeTimeHours) × (filterChangesPerMonth − epuraChangesPerMonth) × fleet	OK
filterMaterialSavings	Calculé	filterCost × (filterChangesPerMonth − epuraChangesPerMonth) × fleet	OK
downtimeSavings	Calculé	(filterChangesPerMonth − epuraChangesPerMonth) × downtimeCostPerHour × downtimeHoursPerChange × fleet	OK
fuelSavings	Calculé	fuelConsumption × operatingHoursPerMonth × fuelPrice × (fuelSavingPct/100) × fleet	OK
totalMonthlySavings	Calculé	laborSavings + filterMaterialSavings + downtimeSavings + fuelSavings	OK
installCostPerUnit	Saisie / Input	Coût d'installation par machine ($)	OK
totalInvestment	Calculé	(systemPricePerUnit + installCostPerUnit) × fleet	N/A si XLG
roiMonths	Calculé	totalInvestment / totalMonthlySavings	N/A si XLG
savings2yr	Calculé	totalMonthlySavings × 24 − totalInvestment	N/A si XLG
savings3yr	Calculé	totalMonthlySavings × 36 − totalInvestment	N/A si XLG
savings5yr	Calculé	totalMonthlySavings × 60 − totalInvestment	N/A si XLG

Variable

Source

Formule / Formula

Statut

fleet

Saisie / Input

Nombre d'unités dans la flotte

operatingHoursPerMonth

Saisie / Input

Heures d'opération/mois par machine

filterCost

Saisie / Input

Coût des filtres actuels par changement ($)

filterChangesPerMonth

Saisie / Input

Nb changements/mois par machine

downtimeCostPerHour

Saisie / Input

Coût horaire d'arrêt machine ($/h)

downtimeHoursPerChange

Saisie / Input

Heures d'arrêt par changement

laborRate

Saisie / Input

Taux horaire MO maintenance ($/h)

numEmployees

Saisie / Input

Employés par changement (1–3)

changeTimeHours

Saisie / Input

Temps par changement (h)

epuraFilterLife

Saisie / Input

Durée de vie filtre Epura (h), défaut 3000

fuelConsumption

Saisie / Input

Consommation carburant (L/h ou gal/h)

fuelPrice

Saisie / Input

Prix du carburant ($/L ou $/gal)

fuelSavingPct

Slider / Input

% économies carburant Epura (1–10%)

systemPricePerUnit

Produits DB

Prix unitaire système Epura sélectionné

Null si XLG

epuraChangesPerMonth

Calculé

operatingHoursPerMonth / epuraFilterLife

laborSavings

Calculé

(laborRate × numEmployees × changeTimeHours) × (filterChangesPerMonth − epuraChangesPerMonth) × fleet

filterMaterialSavings

Calculé

filterCost × (filterChangesPerMonth − epuraChangesPerMonth) × fleet

downtimeSavings

Calculé

(filterChangesPerMonth − epuraChangesPerMonth) × downtimeCostPerHour × downtimeHoursPerChange × fleet

fuelSavings

Calculé

fuelConsumption × operatingHoursPerMonth × fuelPrice × (fuelSavingPct/100) × fleet

totalMonthlySavings

Calculé

laborSavings + filterMaterialSavings + downtimeSavings + fuelSavings

installCostPerUnit

Saisie / Input

Coût d'installation par machine ($)

totalInvestment

Calculé

(systemPricePerUnit + installCostPerUnit) × fleet

N/A si XLG

roiMonths

Calculé

totalInvestment / totalMonthlySavings

N/A si XLG

savings2yr

Calculé

totalMonthlySavings × 24 − totalInvestment

N/A si XLG

savings3yr

Calculé

totalMonthlySavings × 36 − totalInvestment

N/A si XLG

savings5yr

Calculé

totalMonthlySavings × 60 − totalInvestment

N/A si XLG

Heure

Prénom

Nom

Entreprise

Courriel

Qualification

Fabricant

Modèle

SKU Epura

Nb machines

Prix unitaire

Coût install./unité

Investissement total

H op./mois

Coût filtres

Chgt filtres/mois

Coût arrêt/h

H arrêt/chgt

Taux MO ($/h)

Nb employés

Temps/chgt (h)

Vie filtre Epura (h)

Conso. carburant

Prix carburant

% écon. carburant

Écon. mens./machine

Écon. mens./flotte

ROI (mois)

Écon. nette 2 ans

Écon. nette 3 ans

Écon. nette 5 ans

Notes

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SITUATION

SOTREM-MALTECH is a leader in several industrial and manufacturing sectors that has been operating for nearly 30 years. Maltech, the Saguenay division of the Groupe Sotrem-Maltech, specializes in the treatment of industrial byproducts from Quebec’s aluminum smelters by crushing and screening used and contaminated carbon.

Its equipment operates in extreme conditions, creating major dust management constraints. The company needed a creative solution as its engine filtration systems were requiring near-constant maintenance. Maltech was looking for viable ways to reduce equipment breakdowns, downtime, and related costs.

It was also looking to upgrade its facilities from a sustainability and health and safety standpoint. In particular, it hoped to provide good, clean air to employees in the equipment cabins.

As Maltech is constantly on the lookout for partners to forge successful, scalable, and profitable long-term partnerships, it turned to Propulsa Innovations for a solution.

THE PROPULSA INNOVATIONS SOLUTION

Propulsa Innovations is very familiar with this issue among companies operating in similar environments. It met with Maltech to make a proposal that was very well received:

a self-cleaning pre-filtration system by automatic vibration still in early development.

The idea behind this proposal, which was still in the design phase, was to implement a low-maintenance pre-filtration system that would significantly cut down on maintenance costs and downtime.

The first version of this self-cleaning pre-filtration system was tested for 3 months on the engine of a John Deere 544 P-Tier wheel loader. At the time, the automatic vibrations were powered by a jigsaw. It was a success!

Recognizing the system’s potential, Maltech worked closely with the Propulsa Innovations team and played a crucial role in developing the unique, patented Epura technology. In particular, the company’s environment and feedback on the system were invaluable.

The ingenuity of the Epura concept allowed Propulsa Innovations to adapt its range to provide Maltech with two separate products that perfectly met the company’s needs: Epura Engine and Epura Cabin.

RESULTS

Since 2020, Epura Engine and Epura Cabin systems are standard on all of the company’s vehicles. The benefits:

Vehicles require no maintenance of original filters

More than $10,000/year/vehicle in savings related to original engine filter changes (filters and labour)

More than $7,000/year/vehicle in savings related to original cabin filter changes

Lower fuel use and fewer pollutant emissions for each vehicle

Compliance with current CNESST health standards

”The Epura technology allows us to ensure the vehicles are very reliable, especially in terms of engine combustion, environmental performance, and operator health and safety. We had over 300 used filters to manage per year with filter changes every eight hours. We’ve seen a substantial boost in productivity and much better management of labour and maintenance costs.
Patrick DubéDirector, Marketing & Business Development - Groupe Sotrem-Maltech

Calculateur ROI — Système Epura

⚙ Administration — Epura ROI v3

🔴 BLOQUANT — Requis avant production

🟡 IMPORTANT — Améliore la précision

🟢 OPTIONNEL — Nice to have

Case study | Maltech from Groupe Sotrem Maltech

SITUATION

THE PROPULSA INNOVATIONS SOLUTION

RESULTS

Previous PostCase study | Rio Tinto

Next PostHealthy and efficient self-cleaning cabin filtration for specialized equipment in the aluminium industry

Calculateur ROI — Système Epura

⚙ Administration — Epura ROI v3

🔴 BLOQUANT — Requis avant production

🟡 IMPORTANT — Améliore la précision

🟢 OPTIONNEL — Nice to have

⚙ Administration

Case study | Maltech from Groupe Sotrem Maltech

SITUATION

THE PROPULSA INNOVATIONS SOLUTION

RESULTS

Previous PostCase study | Rio Tinto

Next PostHealthy and efficient self-cleaning cabin filtration for specialized equipment in the aluminium industry

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