DreamzCMMS Enterprise Asset & Maintenance Management System
Use Case
Centralized preventive maintenance, work order automation, and asset lifecycle tracking with technician mobility and real-time reporting.
The Challenge
Hobson & Motzer, a precision manufacturer within the Vantedge Medical group, operates highly specialized production facilities with complex machinery and quality-critical equipment.
The company previously managed maintenance operations using Hippo CMMS, but faced several limitations:
Difficulty in scaling asset and PM schedules across multiple facilities.
Lack of automation in work order generation and technician assignment.
Limited flexibility in handling inventory and location data fields (Aisle/Row/Bin).
Manual scheduling workflows leading to PM delays and missed maintenance.
Separate systems for inventory and maintenance caused data inconsistency.
Hobson & Motzer required a modern, unified CMMS platform that could import existing Hippo data, automate preventive maintenance schedules, streamline technician workflows, and provide actionable analytics.
The DreamzCMMS Solution
DreamzCMMS implemented a customized Asset & Maintenance Management System with modules covering all operational aspects — from asset tracking and PM scheduling to inventory, purchasing, and analytics. The platform was configured to align with Hobson & Motzer’s maintenance workflows, technician hierarchies, and custom service-type automation.
Core Modules Implemented
1. Asset Management
All assets, categories, and subcategories from Hippo were migrated and standardized into DreamzCMMS.
QR and barcode support for asset identification via the Technician Mobile App.
Complete lifecycle management including depreciation, location, and history tracking.
2. Work Order & Preventive Maintenance Management
Imported 565 scheduled PM entries from Hippo into DreamzCMMS with enhanced scheduling logic.
Automatic end-date logic: Daily, weekly, and monthly PMs are now auto-calculated based on start time (e.g., Daily +1 day, Weekly +7 days).
Configurable “Type of Service” logic (Automation/Electrical, Mechanical, Facilities, Pressroom) to automatically route and assign work orders to corresponding technician groups.
PM Scheduler allows multi-asset setup, editable due dates, and bulk rescheduling from the web or mobile app.
3. Parts & Supplies (Inventory Management)
Inventory imported from Hippo with Category, Subcategory, and Location Data.
Location fields (Aisle, Row, Bin) were converted to free-text entry boxes to simplify warehouse data entry and organization.
Low-stock alerts and automated purchase requisition creation tied to maintenance tasks.
4. Incident & Request Management
Customized request portal to allow internal employees (not customers) to submit maintenance requests.
Request forms simplified by removing customer details and integrating directly into the work order system.
5. Checklist & Technician Mobile App
Technicians access assigned work orders, checklists, and instructions through the mobile app.
Supports QR/Barcode scanning, voice-enabled request creation, and real-time updates.
Offline capability ensures technicians can complete PMs without network dependency.
6. Reports & Analytics
Web-based dashboards powered by Power BI and native DreamzCMMS analytics.
KPIs for maintenance frequency, technician productivity, downtime, and cost tracking.
Exportable PM and work order performance reports for management review.
Key Features Utilized
Asset, Work Order & Preventive Maintenance Modules
Technician Mobile App with QR/Barcode scanning
Custom PM Scheduler with automatic due-date logic
Category & Subcategory-based Inventory Management
“Type of Service” based Auto Work Order Assignment
Incident & Internal Request Management
KPI Dashboards and Power BI Analytics
Key Results / Outcomes
Seamless migration of all Hippo CMMS data into DreamzCMMS.
Automated work order creation and technician routing based on service type.
100% visibility into asset lifecycle, maintenance status, and part consumption.
Enhanced technician productivity using the mobile app for real-time updates.
Reduced PM scheduling effort by 60% through automated logic and bulk editing.
Improved inventory accuracy with flexible aisle/row/bin management.
Integrated analytics providing deeper operational insights and KPIs.
We use cookies on our website to give you the best experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.