Heavy Equipment Refurbishment Management: How NorthForge Stopped Guessing Margins and Started Controlling Them
If your heavy equipment refurb or rebuild operation is managing project costs in spreadsheets and cannot confirm whether a job was profitable until well after the invoice, FireFlight was built for exactly this situation.
Schedule your free consultationWho NorthForge is and what they rebuild
Based in Billings, Montana, NorthForge Heavy Equipment Rebuilders specializes in the refurbishment and rebuild of large excavators, all-terrain and rough-terrain cranes, and front loaders and haul trucks used in mining and heavy construction. Their model combines a central rebuild shop equipped for full teardown, machining, structural welding, and final assembly with a field service team that travels to mines, quarries, and large infrastructure projects for diagnostics, partial repairs, and post-delivery support.
Every project is unique. Some customers buy used machinery and ask for a full like-new refurbishment. Others want focused repair on undercarriage, hydraulic systems, or structural components, with clear warranty terms, full parts traceability, and a transparent total cost of ownership. The expertise on the shop floor was never in doubt. The problem was the financial and operational infrastructure around it.
What was the problem before FireFlight?
NorthForge's mechanics knew how to strip and rebuild an excavator to the last bolt. The problem was everything around the physical work: the quoting, the parts tracking, the hour attribution, and the financial picture that only assembled clearly after the fact, if at all.
Unknown scope until teardown. Every refurb started with an estimate built on photos, partial history, and a surface inspection. The real BOM, what actually needed replacing versus what could be reconditioned versus what was failing inside, only became clear once the machine was open. Quotes were built on assumptions that teardown regularly contradicted. Scope changes were constant and only partially captured in any system. No structured record existed of how many hours and parts went into specific failure modes or machine types.
Parts and spares scattered across informal systems. NorthForge carried substantial inventory of reconditioned hydraulic pumps, cylinders, axles, seal kits, critical hardware, and electronic components. The true picture of stock lived in a basic shelf system, the memory of the warehouse manager, and several spreadsheets that were not connected to active projects. Mid-assembly, it was common to discover incomplete kits, parts verbally reserved for another job that were no longer available, and emergency purchases made at high prices just to meet a delivery date.
Project costs that did not reflect reality. Technician hours were recorded on paper or via informal messages. Many parts were pulled from stock with no clear link to a specific project. Rework and adjustments went unrecorded. Some projects looked profitable on the invoice but quietly destroyed margin in practice. Others looked expensive to the customer but were NorthForge's best jobs when viewed through true total cost of ownership. Leadership could not tell the difference until it was too late to do anything about it.
Heavy equipment refurbishment without parts traceability carries warranty and liability exposure that only surfaces after a field failure. When a rebuilt excavator fails on a job site, the question of which parts were installed, when, and by whom is not just operational. For equipment operating in mining or large infrastructure environments, it is a safety and legal question. FireFlight's structured teardown workflow and project-level parts records provide the documented traceability that supports warranty claims and protects NorthForge when a customer calls about a field issue months after delivery.
How FireFlight was built around NorthForge's refurb model
NorthForge implemented FireFlight with a clear goal: stop surviving job by job and start running the refurb portfolio as a data-driven operation where every decision rests on real information. The deployment was built around three pillars: true job costing at the project level, inventory control centered on critical spare parts, and Asset Management to track lifecycle and total cost of ownership over time. Configuration was completed in weeks, not months.
Intake, Evaluation, and Project Work Orders
Every project begins in FireFlight as a Project Work Order tied to a specific asset. The machine's serial number, known history, operating hours, site conditions, and reported failure modes are registered from day one. Sales and operations define an initial scope with likely components to address and an estimated cost range. That Project Work Order links to the customer record, the asset's EAM record, and the sites where the machine operates.
From day one, there is a single container for everything that follows: notes, photos, decisions, approvals, and costs. Nothing lives in a separate email thread or on a whiteboard.
Structured Teardown with a Live BOM
When the machine hits the shop, teardown becomes a structured digital workflow rather than an undocumented technical process. Each subsystem, including undercarriage, engine, hydraulics, structure, and electrics, has defined steps inside FireFlight. Technicians log findings, upload photos, and mark components as reuse, recondition, or replace.
As teardown progresses, the BOM for the project is built directly from actual findings in FireFlight. Replacement decisions trigger inventory reservations or purchase requisitions, all tied back to the Project Work Order. The scope that previously existed only in the shop supervisor's head becomes a documented, traceable record.
Spare Parts Inventory Connected to Active Projects
Every component, from major assemblies down to seal kits, is cataloged in FireFlight with alternates, preferred vendors, and lead times. Every stock movement is recorded against a specific project and asset. When a BOM is confirmed, FireFlight checks what is on hand, what is already reserved for other projects, and what needs to be ordered.
The result is fewer mid-assembly surprises and a growing historical dataset on which parts are used most frequently in which repair types and at what margin impact. That dataset feeds future quoting accuracy.
Real-Time Job Costing and Project Financial Dashboard
Technician hours are logged directly to each project and, when relevant, to specific sub-tasks such as cylinder rebuild, structural weld repair, or hydraulic testing. Outside services flow from accounts payable into the Project Work Order. Parts leave inventory with actual cost attached to the same project.
On the project financial dashboard, leadership sees material cost versus plan, projected margin versus original quote, estimated versus actual technician hours, and approved scope changes with their financial impact. NorthForge moved from waiting for month-end to monitoring the financial health of every active refurb while it is still in progress.
Asset Lifecycle and Total Cost of Ownership
Each refurbished asset carries a full intervention history in FireFlight: cumulative cost over time, all installed parts with dates and warranties, and operating hours gained with each refurb cycle. When a customer asks whether another refurb is worth more than buying a new machine, NorthForge opens FireFlight and shows the complete picture: how much has been invested in that specific asset, how its total cost of ownership compares to a replacement machine, and how many operating hours each previous refurb produced.
That turns NorthForge from a shop into a strategic advisor for fleet decisions.
FireFlight capabilities active at NorthForge
Every refurb starts as a Project Work Order tied to the specific asset's EAM record. Machine history, operating hours, failure modes, and all subsequent decisions, costs, and findings accumulate in one place from intake to delivery.
Subsystem-by-subsystem teardown steps with technician findings, photos, and component disposition logged in FireFlight. The BOM builds from actual teardown data. Nothing lives in a shop supervisor's head or a paper note.
Parts issued from stock are recorded against the specific project and asset that consumed them. Before assembly, FireFlight confirms what is available, what is reserved elsewhere, and what needs to be ordered. Emergency mid-assembly purchases are replaced by planned procurement.
Material cost vs. plan, projected margin vs. quote, actual vs. estimated hours, and scope change impact all visible in real time during active projects. Margin-eroding jobs no longer hide inside monthly averages until it is too late to act.
Cumulative investment history per asset across all refurb cycles. Total cost of ownership calculated and comparable to replacement machine acquisition cost. Operating hours gained per refurb documented and available for customer fleet decision conversations.
Field service team diagnostics, partial repairs, and post-delivery support recorded in the same system as shop-based refurb projects. Every intervention on an asset, whether in the shop or in the field, attaches to the same asset record.
What changed after deployment
Within a year, the operation felt different at every level. On the shop floor, technicians still focused on the physical work, but every step left a documented trail. Conversations shifted from "who grabbed that cylinder?" to "why does this type of repair consistently run over estimated hours?" That second question was not answerable before FireFlight because the data to answer it did not exist in any structured form.
In management and finance, the patterns that had been invisible inside monthly averages became visible. Specific brands, models, machine ages, and operating conditions that consistently eroded margin were identified by name. Pricing and scope adjustments on future quotes for those machine types were made from historical cost data rather than intuition.
In customer relationships, NorthForge gained the ability to explain exactly why a refurb costs what it does: teardown findings, decisions made during the process, parts installed, test results documented. Some customers began using FireFlight's reports internally to justify their own refurb investment versus buying new decisions to their leadership teams.
- Project margin became visible in real time rather than at month-end. Jobs that were quietly destroying margin were identified while still on the floor, before invoicing locked in the loss.
- Parts surprises mid-assembly dropped significantly as inventory reservations against confirmed BOMs replaced the informal "verbal reserve" system that had been causing incomplete kits and emergency purchases.
- Quoting accuracy improved as historical cost data from completed projects revealed the actual parts and hours required for specific machine types, failure modes, and operating conditions.
- Asset TCO documentation gave NorthForge a differentiated service offering: the ability to show customers a complete investment history per machine and a data-supported recommendation on whether another refurb or a replacement machine is the right financial decision.
- Field service interventions and post-delivery support were recorded in the same asset record as the original refurb, giving NorthForge a complete operational picture of every machine in its portfolio over time.
What we learned from this deployment
The BOM problem in heavy equipment refurbishment is not a systems problem. It is a structural reality of the work: the scope of a refurb reveals itself during teardown, not before it. Any system that requires a fixed BOM before work begins will either produce inaccurate quotes or create an incentive to under-scope to win the job and then absorb overruns. FireFlight's teardown workflow builds the BOM from actual findings rather than assumptions, which aligns the documentation system with how heavy equipment refurbishment actually works.
The insight that applies to any heavy equipment repair and refurb operation: project-level job costing is not the same as monthly cost tracking. Monthly totals tell you whether the business made money last month. Project-level job costing tells you which jobs made money and which ones did not. NorthForge's management needed the second number, not the first. The average of a set of profitable and margin-destroying jobs looks acceptable in aggregate. Individually, the margin-destroying jobs set a pattern that explains why certain machine types, brands, and operating conditions should be priced differently. That pattern only becomes visible when the cost data is attached to specific projects, not averaged across a month.
The TCO advisory capability is worth addressing directly. When NorthForge can show a customer the complete investment history for their specific machine, including what every refurb cost, what operating hours each produced, and what the cumulative TCO looks like against a new machine, the conversation changes. NorthForge moves from being the vendor who does the work to being the advisor who helps the customer make the right fleet decision. That positioning is not available to competitors who cannot produce that documentation. FireFlight does not create that expertise. It makes it visible.
Deployments for heavy equipment refurb and rebuild operations covering project work orders, teardown workflow documentation, spare parts inventory linked to active projects, real-time job costing, and asset lifecycle tracking are completed in weeks, not months. The configuration built for NorthForge applies directly to any operation managing complex, unique rebuild projects where scope discovery happens during the work rather than before it starts.
Frequently asked questions
Can FireFlight handle project work orders for heavy equipment refurbs where the scope is not fully known until teardown begins?
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How does FireFlight's live BOM work when component replacement decisions are made during teardown?
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Can FireFlight track spare parts inventory against specific refurb projects rather than as general stock?
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How does FireFlight give management real-time project margin visibility during active refurbs?
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Can FireFlight track total cost of ownership for a specific machine across multiple refurb projects over its lifetime?
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How does NorthForge use FireFlight to advise customers on refurb versus replacement decisions?
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How long does a FireFlight deployment take for a heavy equipment rebuilder?
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PCG founded 1995. 500+ applications built across 31 years, roughly one-third in regulated environments where software failure carries direct operational and compliance consequences. FireFlight is the platform built from that body of work. When you contact PCG, Allison is the person who answers.
phxconsultants.com LinkedInThe company name in this use case has been changed to protect client information. The operational scenario and outcomes described represent a documented FireFlight deployment.
It’s like having an assistant who never sleeps, constantly keeping us organized and ahead of schedule.
Build-to-Order Conveyor Manufacturing: How GlobalRoll Replaced Whiteboards and Spreadsheets with a Complete Manufacturing System
If your manufacturing operation is running build-to-order products from spreadsheets, whiteboard schedules, and emailed BOMs, and you cannot confirm profitability per product line, FireFlight was built for exactly this situation.
Schedule your free consultationWho GlobalRoll is and what they build
GlobalRoll Conveyance Systems, Inc. produces rollers and fabricated subassemblies that form the backbone of ten major conveyor product lines. Their headquarters sit on Precision Drive in Dayton, Ohio, with manufacturing spread across a West Campus facility handling machining, fabrication, coating, and roller assembly, and a Distribution and QA Center managing inspection, testing, packing, and shipping.
Each conveyor product blends fabricated steel structures, machined rollers, drive assemblies, sensors, wiring, hardware, and finishing processes. GlobalRoll ships thousands of rollers and assemblies every month. The product line is highly configurable: customers routinely request variations in roller diameter, coating type, shaft configuration, bearing specifications, bracket geometry, or load rating. Before FireFlight, every one of those variations required manual BOM reconstruction, and no two quotes were built the same way.
| Conveyor Product | Primary BOM Elements | FireFlight Template Logic |
|---|---|---|
| Inline Box Conveyor System | Hundreds of rollers, frames, brackets, and electrical wiring; quantity scales with conveyor length and load rating | Length, load rating, and roller pitch parameters drive all BOM quantities automatically |
| Pallet Infeed Conveyor with Turntable | Load-rated rollers, fabricated steel supports, driven rotation assembly, motor, drive hardware | Load rating and turntable drive type selected at order entry; template validates compatible component combinations |
| Overhead Chain Conveyor for Parts | Rollers, bracket geometry, drive chain, mounting hardware, wiring | Engineering spec changes to roller selection or bracket geometry update all dependent builds automatically |
| Accumulation Conveyor with Zero-Pressure Zones | Drive rollers, photo-eyes, control modules, wiring harnesses, zone sequencing hardware | Number of zones drives all downstream BOM elements: drive rollers, photo-eyes, controls, and wiring scale parametrically |
| Spiral Lift Conveyor | Curved rollers, structural plates, specialized brackets, weldments, drive assembly | Nested fabrication templates for each spiral stage; weldments and structural plates managed as separate fabrication sequences |
| Modular Belt Washdown Conveyor | Stainless steel frame, washdown-rated drive components, sanitary hardware, belt modules | Material groups separated by sanitary classification; all wetted components flagged as a distinct BOM category |
| Powered Roller Transfer Conveyor | High-torque drive rollers, motor assemblies, control wiring, mounting hardware | Drive rollers serialized with full QA traceability; motor assemblies linked to QA records at assembly stage |
| Telescoping Extendable Dock Conveyor | Telescoping stage subassemblies, extension mechanisms, drive hardware, controls | Template-driven subassemblies per telescoping stage produce predictable scheduling and clear WIP structure at each stage |
| Multi-Lane Merge Conveyor | Lane speed controllers, matched roller sets per lane, merging hardware, controller wiring | Template logic enforces lane speed synchronization and matches roller types and controller assignments across all lanes |
| Gravity Roller Conveyor with Adjustable Stands | Standard rollers, adjustable stand hardware, end stops, framing | High-volume template with MRP forecasting; standard component reuse stabilizes inventory and reduces expediting |
What was the problem before FireFlight?
As demand accelerated and product customization became the norm, four chronic problems compounded across GlobalRoll's operation. They were not independent failures. Each one fed the others, and the spreadsheet-and-whiteboard system had no mechanism to break the cycle.
Engineering Chaos
Customers requested variations constantly: different roller diameters, coatings, shaft types, bearings, brackets, and load ratings. Engineering exported PDFs from CAD and emailed BOMs to purchasing. Every custom order was a manual reconstruction. Changes made to one product did not propagate to products sharing the same components.
Inventory Surprises
The West Campus team regularly discovered shortages during kitting. Rollers, brackets, bearings, shafts, and control components had been consumed by other jobs with no visibility into what had been used. The result was costly emergency material runs and production delays that rippled through every active order on the schedule.
Scheduling Whiplash
Rush orders forced constant reshuffling of the whiteboard schedule. Partial builds sat stalled waiting for parts. Completed subassemblies waited for components that had gone to other jobs. Rework consumed capacity that should have been building new product. The schedule reflected intentions, not reality.
No Cost Picture
Material costs were spread across spreadsheets. Labor was handwritten. Rework rarely made it into any tracking system. Profitability per product line was impossible to measure. GlobalRoll was pricing and quoting ten different product lines without confirmed knowledge of which ones delivered margin and which ones did not.
Build-to-order manufacturing with no digital BOM control has a specific quality exposure that accumulates invisibly. When a component specification changes, the manufacturer with paper-based or email-based BOMs cannot confirm which in-progress builds used the old spec. Serialized component tracking in FireFlight means a quality event in the field identifies affected builds in minutes rather than requiring a manual audit of every job that shipped in the relevant time window.
What FireFlight was configured to handle
GlobalRoll partnered with FireFlight to rebuild their entire product and manufacturing structure. Each of the ten conveyor products was modeled as a Product Template with its full BOM, routing, and costing logic. Shared subassemblies, drive assemblies, roller sets, brackets, welded frames, tensioners, and electrical modules were standardized as Component Templates that could be referenced across multiple products. When engineering changes a shared component, the update propagates to every product that uses it. Configuration was completed in weeks, not months.
Each product's BOM lives in FireFlight, not in a CAD export emailed to purchasing. Engineering changes are made once in the system and propagate to production, purchasing, and costing simultaneously.
Ten Product Templates, each with full BOM, routing, and costing. Shared subassemblies defined as reusable Component Templates. One change to a shared component updates every product that references it.
Material requirements calculated from confirmed orders and production schedules across all ten products. Procurement triggers fire before shortages reach the kitting stage. Emergency material runs are replaced by planned purchasing.
Each product template includes its routing sequence through tube cutting, shaft machining, welding, roller assembly, coating, electrical wiring, and final QA. Work centers receive digital instructions based on material availability and capacity constraints, not whiteboard reshuffling.
Motors, drive rollers, and critical components are serialized within FireFlight and connected to QA events at each production stage. Root cause analysis for field issues takes minutes, not days.
Sales generates accurate quotes directly from customer configuration parameters. Material requirements, costs, and lead times come from the same template data that drives production. Quote accuracy no longer depends on engineering availability.
Actual labor and material usage attach to every job as production progresses. Rework is captured in the system rather than absorbed invisibly. The cost picture is current throughout the build, not assembled after the fact from scattered records.
Template-driven costing reveals which of the ten products deliver margin and which need redesign or repricing. Product line decisions move from assumption to confirmed data for the first time.
The facilities and work centers mapped in FireFlight
GlobalRoll's operation spans two physical facilities, each with defined work centers. FireFlight mapped the full structure before go-live, creating the routing foundation that every product template references. No work center sequence is hardcoded to a single product. The routing logic is reusable across all ten conveyor lines.
West Campus Manufacturing
- Tube cutting
- Shaft machining
- Welding and fabrication
- Roller assembly
- Coating and finishing
- Electrical wiring
Distribution and QA Center
- Final QA inspection
- Functional testing
- Packing and labeling
- Shipping and dispatch
- Warranty and return intake
How FireFlight structured each of the 10 products
Every one of GlobalRoll's ten conveyor product lines required its own template logic. Some products are parameter-driven, where a single input like zone count or conveyor length cascades through the entire BOM. Others required nested fabrication templates for complex weldments. A few required serialized component tracking directly integrated with QA sign-offs. Below is how each product was structured in FireFlight.
Inline Box Conveyor System. The most configurable product in the line. A template supporting hundreds of rollers, frames, brackets, and electrical components, all costed and routed automatically from length, load rating, and roller pitch inputs entered at order creation.
Pallet Infeed Conveyor with Turntable. Load-rated rollers, fabricated steel supports, and a driven rotation assembly standardized through template logic that validates compatible drive and load combinations before a work order is released to production.
Overhead Chain Conveyor for Parts. FireFlight controls roller selection and bracket geometry, and guides updates across all dependent builds when engineering changes specs. A change to the bracket drawing updates every open work order referencing that bracket before any parts are cut.
Accumulation Conveyor with Zero-Pressure Zones. Driven by parametric logic. The number of zones is entered at order creation, and drive rollers, photo-eyes, control modules, wiring harnesses, and zone sequencing hardware all scale from that single input. No manual BOM calculation required.
Spiral Lift Conveyor. Curved rollers, structural plates, specialized brackets, and weldments managed as nested fabrication templates. Each spiral stage is its own sub-template, so the weld shop receives a separate work order per stage while the assembly team sees the complete build sequence in correct dependency order.
Modular Belt Washdown Conveyor. Stainless steel construction and washdown-rated components tracked as distinct material groups within the BOM. Sanitary hardware is flagged separately from standard hardware, preventing substitution errors that would create compliance and cleaning failures in food or pharmaceutical environments.
Powered Roller Transfer Conveyor. High-torque drive rollers serialized and fully traceable through FireFlight's QA integration. Every motor assembly is linked to a QA record at the assembly stage. If a drive roller fails in the field, the serial number traces back to the specific production run, the incoming inspection record, and the installer.
Telescoping Extendable Dock Conveyor. Template-driven subassemblies for each telescoping stage create predictable scheduling and a clear WIP structure. Each stage appears as a separate work order with its own material requirements and routing, eliminating the partial-build confusion that plagued the whiteboard schedule.
Multi-Lane Merge Conveyor. Template logic enforces lane speed synchronization and matched roller types. Controller assignments are validated against lane configuration before the work order is released. The previous failure mode, where mismatched controllers were wired to the wrong lanes and discovered during QA, is blocked upstream at the template level.
Gravity Roller Conveyor with Adjustable Stands. High-volume product benefitting from MRP forecasting and standard component reuse. Because this product uses a high proportion of shared components, inventory for this line stabilized quickly after MRP go-live. Standard components ordered for this product frequently satisfy demand from other product lines simultaneously.
What changed after deployment
Within a year of go-live, GlobalRoll's operation looked fundamentally different from the outside and from the inside. On-time delivery rates increased. Emergency material runs dropped. The whiteboard schedule was replaced by a production plan that reflected actual material availability and work center capacity rather than optimistic assumptions that got overwritten by reality.
The cost picture that had been invisible for years became current. Product line profitability was no longer estimated. It was measured. The products that had been absorbing rework costs, material substitutions, and engineering change labor without those costs being captured were identified. Pricing decisions that had been based on historical assumptions moved to template-confirmed cost data.
- On-time delivery rates increased as production plans reflected actual material availability rather than the whiteboard schedule's optimistic assumptions.
- Inventory shortages at kitting dropped significantly after MRP went live. Emergency material runs that had been a routine operational cost became rare enough to be notable when they happened.
- Engineering-controlled BOMs eliminated the manual BOM reconstruction that had been required for every custom order. Changes to shared components propagated automatically to all affected products and open work orders.
- QA tracking and traceability improved dramatically with component serialization. Field quality events that had previously required manual record searches were resolved from serialized data in minutes.
- Quoting became accurate and fast. Sales could generate cost and lead time estimates from template parameters without waiting for engineering to manually price each variation.
- Product line profitability became visible for the first time. The cost data that had been invisible in handwritten labor records and scattered spreadsheets was captured and attributed correctly to each product and each job.
What we learned from this deployment
Build-to-order manufacturing is the operational environment where product templates and component reuse deliver the most immediate return. When the same drive assembly, roller set, or bracket configuration appears in multiple products, every engineering change that goes untracked in one product creates an inconsistency in all of them. GlobalRoll was managing ten product lines with hundreds of shared components. FireFlight's template structure meant a change was made once and applied correctly across every product and every open work order that depended on it.
The insight that carries to every build-to-order manufacturer: the whiteboard schedule is not a scheduling problem. It is a symptom of missing data. When material availability, work center capacity, and WIP status are not current in a system, the schedule is a set of intentions that gets overwritten whenever reality arrives. GlobalRoll's scheduling whiplash did not come from bad planning. It came from planning against information that was already out of date before the day started. FireFlight did not change how GlobalRoll planned. It gave them accurate inputs so the plan could hold.
The second confirmed insight from this deployment: costing visibility changes strategic decisions, not just operational ones. GlobalRoll was quoting all ten product lines without confirmed margin data per line. Once template-driven costing revealed actual labor and material consumption per product, some products were repriced, others were redesigned, and one was discontinued. None of those decisions could have been made correctly before the cost data existed.
Deployments covering multi-product BOM management, MRP, digital work center routing, component serialization, and job costing for build-to-order manufacturing operations are completed in weeks, not months. The template structure built for GlobalRoll's ten conveyor product lines applies directly to any manufacturer running configurable products across multiple work centers with shared components.
Frequently asked questions
Can FireFlight manage BOMs for build-to-order conveyor systems with frequent customer customizations?
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How does FireFlight handle MRP for a multi-product manufacturing operation with ten or more product lines?
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Can FireFlight route work orders through multiple work centers in the correct manufacturing sequence?
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How does FireFlight support QA traceability with serialized manufacturing components?
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Can FireFlight calculate accurate job costs for custom conveyor builds in real time?
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How does FireFlight handle engineering changes that affect multiple products sharing the same components?
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Can FireFlight generate accurate quotes from a customer's configuration parameters?
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How long does a FireFlight deployment take for a build-to-order manufacturing operation like GlobalRoll?
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PCG founded 1995. 500+ applications built across 31 years. FireFlight's manufacturing modules, including Product Templates, Component Templates, MRP, and job costing, were developed from direct client work in build-to-order environments where manual BOM management and spreadsheet costing had become the primary operational risk.
phxconsultants.com LinkedInThe company name in this use case has been changed to protect client information. The operational scenario, product structure, and outcomes described represent a documented FireFlight deployment.