Blog
Insights on production scheduling, lean manufacturing, and manufacturing software from 35+ years of industry experience.
How the platform actually works: scheduling, optimization, the shop floor and ERP data.
Eight Lot Streaming Configuration Mistakes (and What They Look Like)
Lot streaming configuration mistakes that silently disable operation overlap: batch sizes above order quantity, transit days, and continuous-process flags.
Make to Stock vs Make to Order in EDGEBIC: How the Policy Resolves
Make to stock vs make to order scheduling: how EDGEBIC resolves build policy per order, inflates for yield, and turns product lead time into a delivery tail.
Moving EDGEBIC from One Planner to a Shared Server: What Changes, What Carries Over
Going from single user to multi user manufacturing software: the provider switch, what does not migrate with it, and the six habits a shared plan needs.
10 Master Production Schedule Mistakes That Wreck the Build Plan
Master production schedule mistakes that quietly corrupt a build plan: draft orders, half-set product flags, phantom builds, and fences read as locks.
8 Multi-Shift Scheduling Mistakes (and How to Spot Them)
The multi shift scheduling mistakes that break capacity in EDGEBIC: shifts that describe the gross clock, empty shifts, global shift overrides, and six more.
NetSuite Scheduling Gaps (And How EDGEBIC Fills Them)
NetSuite finite capacity scheduling gaps manufacturers report: work order dates that ignore capacity, flat work centers, no setup sequencing, slow what-ifs.
NetSuite to EDGEBIC: The Data Mapping Reference
NetSuite data export scheduling field by field: map items, work centers, routings, work orders and labor into EDGEBIC masks, with CSV and upsert rules.
Operator and Skill Scheduling Mistakes to Avoid
The operator scheduling mistakes that quietly break a labor-constrained plan: attention left at zero, expired certifications, roster gaps, and unwanted pins.
Schedule Optimizer Mistakes Planners Make
The schedule optimizer mistakes that waste runs in EDGEBIC: misreading no-improvement, fighting locked jobs, optimizing bad data, and judging by one KPI row.
8 Parallel Work Center Configuration Mistakes in EDGEBIC
Parallel work center configuration mistakes that break multi machine scheduling: duplicate shifts, the wrong category, an unread factor, and five more.
Transfer Batch vs Flow Overlap: How EDGEBIC Decides and What Each Costs
Transfer batch vs flow overlap compared with worked numbers: how EDGEBIC picks a lot streaming model, what each gate computes, and the 24% makespan case.
8 Product Master Data Mistakes That Distort Your Schedule
Product master data mistakes and their symptoms: legacy multi-routing rows, padded lead times, unstocked stock items, bad yield values, and cascading deletes.