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Acumatica to EDGEBIC: The Data Mapping Reference
Mapping Acumatica data into EDGEBIC is a column-mapping exercise rather than a development project: you export stock items, work centers, BOM operations, open production orders, and optionally labor hours to Excel or CSV, usually from a Generic Inquiry, then drag each source column heading onto the matching EDGEBIC field once and save it as a reusable import mask. This reference lists what maps to what, which columns are mandatory, how conversions and upserts behave, and what every row outcome means when a run finishes.
EDGEBIC by User Solutions integrates with Acumatica through those masks rather than the API, so nothing is deployed in the tenant and no integration credential exists to maintain. If you have not read the end-to-end version yet, start with the complete Acumatica integration guide. This post is the lookup table you keep open while building masks.
A note on column names: the headings your Generic Inquiries produce depend on how each GI is built, so they may differ from another shop's. That does not matter. You map headings to EDGEBIC fields once per mask, and the EDGEBIC target fields below are the stable side of the mapping. Where a GI column is genuinely unclear, map only what you are sure of; unmapped columns are ignored.
The load order
Import in dependency order. Later files reference records that earlier files created.
| # | Acumatica export | EDGEBIC entity type | Depends on |
|---|---|---|---|
| 1 | Stock items | Product | Nothing |
| 2 | Work centers | Workcenter | Nothing |
| 3 | BOM / routing operations | BOR (bill of routing) | Items and work centers |
| 4 | Open production orders | SalesOrder | Items |
| 5 | Labor hours (optional) | Actuals | Scheduled jobs |
Two entity types have no Acumatica origin and come from a spreadsheet you write: Shift (one row per shift with a start and end pair per weekday, a blank pair meaning the day is off) and PlantHoliday (closures by name and date). Together they define the calendar every scheduled date is computed against, which makes them the ten minutes with the widest effect in the whole load.
Auto-create is on by default, so a BOM file naming a work center that has not been imported yet creates it on the fly. Good safety net, poor strategy: an auto-created work center carries a name and nothing else, meaning one machine, no shift assignment, and no efficiency.
Reading the file itself
Cloud exports have their own habits, and all of them are handled on the mask rather than by editing files.
| Export characteristic | Mask setting |
|---|---|
| Comma, semicolon, tab, or space delimited | Delimiter selector |
| Text values wrapped in quotation marks | Text-enclosed-in-quotes |
| First row is column headings | Header present (on) |
| Raw extract with no headings | Header present (off), map by column position |
| Excel workbook with several sheets | Sheet name on the mask |
| Database view | Database source on the mask |
If a worksheet is renamed later, the reader falls back to the first sheet rather than failing, which is forgiving but worth knowing: re-pick the file on the mask when a workbook's structure changes so the choice stays explicit.
Stock items to Product
| EDGEBIC target field | Mandatory | Source column |
|---|---|---|
Product_Id | Yes | The item identifier. Natural key, matched case-insensitively |
Product_Name, Description | Descriptive text | |
UOM | Unit of measure | |
Unit_Price, Lead_Time, Category | Optional planning and quoting attributes | |
Size, Weight, Country_Of_Origin | Optional descriptive columns |
Only the identifier is required. Everything else can arrive later through a narrower refresh file, because blank cells preserve existing values on an update run. Keep the identifier rendered identically across every export: matching ignores case, so BRK-200 finds brk-200, but it does not reconcile a genuine spelling difference or a stray suffix.
Work centers to Workcenter
This is where scheduling accuracy is won or lost, because this file carries capacity.
| EDGEBIC target field | Mandatory | What it drives |
|---|---|---|
Workcenter Id | Yes | Natural key. BOM operations match on it |
Workcenter Name | Label on the Gantt and in reports | |
Number_Of_Instances | How many identical machines the center holds. Blank defaults to 1 | |
Capacity, Efficiency | Rated capacity and the efficiency applied to it | |
Setup_Time_Hours | Default setup, overridden per operation where present | |
Hourly_Rate | Cost rollups | |
Is_Bottleneck | Marks the constraint so the engine can anchor around it | |
One_Per_Day_Flag | One job per machine per day, for long-changeover centers | |
Use_Global_Shifts, Shift_Names | Calendar assignment | |
Pieces_Per_Hour | Rate-based capacity where the center is measured in output | |
Min_Batch_Size, Max_Batch_Size | Batching limits | |
Is_Active, Color, Type | Housekeeping and Gantt color |
Number_Of_Instances is the single highest-value column here and the one cloud exports rarely carry, because a work center is usually modeled as one resource with a capacity figure. A cell of four identical machines imported as one instance produces a plan roughly four times too long, and it fails quietly: nothing errors, the dates are simply wrong. Fill it deliberately for every multi-machine center; the arithmetic is in how EDGEBIC calculates work center capacity.
Machine pools have no export column
Where machines are genuinely interchangeable, EDGEBIC models a work center group: a named pool whose membership is re-evaluated on every reschedule. A routing step bound to the group picks by strategy (earliest completion, primary first, or earliest start) and applies a per-member efficiency factor, so a slower machine is chosen only when it still finishes first. Operations already started keep their machine, because recorded work is never moved.
None of that exists as an export column. Import the members as ordinary work centers, then build the group inside EDGEBIC: a one-time configuration per pool that changes the schedule more than most imported columns do. The setup path is how to create work center groups.
BOM operations to BOR
| EDGEBIC target field | Mandatory | What to put in it |
|---|---|---|
End_Prod | Yes | Item identifier this routing builds |
Sub_Prod | Yes | Work center id (operation row) or component item (material row) |
Op_Flag | Yes | True for an operation, false for a material or component |
No_Req | Yes | Hours required per unit |
Seq_No | Operation sequence, in gaps of 10 | |
Next_Seq | Leave blank; chaining happens automatically | |
Setup_Time | Setup hours at this step | |
Queue_Time | Buffer hours before the step may start | |
Flow_Step, Transit_Days | Overlap between steps, and transport time | |
Parallel_Op | Parent step's work center name for parallel or alternate steps | |
Alt_Type | Parallel-Independent, Parallel-Dependent, or Alternative | |
Res_Mult | Applicable machine instances for this step | |
Fam_Dept | Department for auto-created work centers |
Op_Flag is the field most often set wrong on a first load. True means the row is an operation running on a work center. False means the row is a component consumed at that point in the routing, which is exactly how a subassembly is attached to its parent. Getting the flag backwards turns components into work centers, and the graphical designer shows it immediately.
Why the import takes two passes
A routing cannot be written row by row, because step 10 must point at step 20 and step 20 does not exist yet. The import therefore runs in two passes. Pass one validates each row, resolves or creates the items and work centers it names, and buffers the row. Pass two groups the buffer by end product, sorts by sequence number, writes the steps, and wires the chain: 10 to 20, 20 to 30, and the terminal step to the finished item so the routing renders connected rather than floating free.
Two rules follow. All of one item's operations must travel in one file, because a run wipes and recreates that item's steps on first reference, so splitting one item across two runs means the second wipe deletes the first run's work. And re-importing is safe for orders in progress, because every scheduled job carries a frozen snapshot of the routing it was planned with.
Production orders to SalesOrder
| EDGEBIC target field | Mandatory | Source |
|---|---|---|
Product_Id(BOR) | Yes | Item being built |
Qty | Yes | Order quantity |
Job_Date | Yes | Release or start date |
Sales_Order(Ref#) | Order reference: shared references group into one order, jobs auto-number {Ref}-{line} | |
Job_Number | Your Acumatica production order number carried across | |
Due_Date, Order_Date, Priority | Promise, entry, and ranking | |
Customer_Name | Auto-created when missing | |
Unit_Price, User_Notes | Optional |
Two mask options handle the case where an export carries only one date: one treats the job date as the due date, the other derives the job date backward from the due date. Set whichever matches your export once, on the mask. Carrying the Acumatica production order number into Job_Number keeps the reference your floor already recognizes.
Labor to Actuals
Job number, work center id, and actual date are mandatory. Hours and pieces are each optional, and either can be derived from the other using the operation's rate. A Complete column marks the operation finished, and an explicit start column overrides the default of using the earliest imported date.
The import always overwrites the days a file carries, so re-running a corrected extract fixes the numbers rather than doubling them. Days a file does not mention are preserved unless you ask for them to be cleared. Actuals go last because every row has to find an operation on a job that is already scheduled.
Conversions, blanks, and zeros
| Situation | Behavior |
|---|---|
| Minutes in the export | Conversion factor 0.016667 on that mask column |
| Seconds in the export | Conversion factor 0.000278 |
| Hours quoted per 100 pieces | Conversion factor 0.01 |
| Blank cell on an update | Existing value preserved |
| Zero in a cell on an update | Zero is written: it is a value, not a blank |
| Unmapped column | Ignored entirely |
| Mandatory field unmapped | Run aborts before reading any row |
| One bad row | Fails alone and the run continues, unless you choose strict mode |
Reading the outcomes
Every row resolves to Created, Updated, Reused, or Failed. Reused is the default for a record that already exists, so a weekly item file of 3,000 rows reporting Created 9, Reused 2,991 is the desired result rather than a problem. When counts look wrong, the per-run log file has one line per row with the exact reason for each failure.
What import cannot bring, and why it matters
The settings that most differentiate a schedule have no column in any ERP export: the sequence-dependent setup matrix, operator skills and rosters, work center group strategies, bottleneck anchoring, and lot streaming transfer batches. They are configured once in EDGEBIC and then apply to every imported order afterwards. The EDGEBIC product overview maps the engine, and the ERP integration architecture explains why one mask design serves every platform.
For the questions that come up before a project starts, see the Acumatica integration FAQ. The Made2Manage and SYSPRO references show how little changes from one platform to the next, and the ERP integration hub frames the category.
Each entity type has a short mandatory list. Products need a product id. Work centers need a work center id. BOM operations need end product, step name, an operation flag, and hours required. Production orders need product, quantity, and a job date. Labor rows need job number, work center id, and the actual date. Everything else is optional, and an unmapped mandatory field aborts the run before any row is read.
It is cleaner to build one Generic Inquiry per entity so each export carries a stable, single-purpose column set. A GI joining items to their production detail can technically serve two masks, but keeping items, work centers, BOM operations, and production orders as separate GIs makes each export predictable and each mask simple. Unmapped columns are ignored, so an over-wide GI still works, it just costs clarity.
Dependency order: stock items first, then work centers, then BOM operations, then open production orders, then labor. BOM operations reference both items and work centers, and production orders reference items, so loading upstream data first stops the auto-create behavior from inventing thin placeholder records. Auto-create is on by default, but a record it creates carries only the name the file gave it.
Expert Q&A: Deep Dive
Q: Our Generic Inquiries can include or omit a header row depending on how they are exported. Does EDGEBIC need one?
A: It works either way, and the choice is a mask setting. With header-present on, you map by dragging column headings, which is what you want for a hand-run GI export. With it off, you map each field by its 1-based column position, which is the mode for a raw scheduled extract with no headings. The position mapping is stored permanently on the mask, so the weekly routine is identical either way. The single discipline for the positional case is that the GI's column order must stay fixed, since a reordered column silently maps the wrong data rather than failing.
Q: We assemble finished goods from subassemblies that Acumatica holds as their own BOMs. Does each level need a separate import?
A: Each end item gets its own routing rows in the same file, and the link between levels comes from the material rows rather than a separate import. On the parent's routing, the subassembly appears as a row with the operation flag set false and the subassembly's item identifier in the step-name column, which tells the engine the component is consumed at that point. The subassembly then has its own operation rows naming its own work centers. One file can carry every level as long as all rows for a single end item travel together, because a routing run wipes and recreates one end item's steps at a time. The result renders in the designer as connected levels rather than as unrelated chains.
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