Work orders passed on by word of mouth and paper
Mid-shift plan changes do not reach the operator in time, which leads to the wrong output or too much of it.
HiTechCloud builds production management software around each plant's real process — work orders, materials, quality, maintenance and output by shift — on cloud infrastructure in Vietnam.
Most plants already have an ERP, an output spreadsheet and a logbook on the line. The problem is that the three disagree, and by month end nobody knows which is right.
HiTechCloud starts by walking the shop floor to see where data is created, who records it and when — then designs the software so data entry sits inside what operators already do, rather than adding another task.
The system goes in workshop by workshop or stage by stage, so the plant sees results early without halting production for one big project.
Mid-shift plan changes do not reach the operator in time, which leads to the wrong output or too much of it.
Material movements are recorded at the wrong moment, so the numbers are only right on stocktake day.
Nothing is recorded per operation, so by the time a defect appears the whole batch has passed several steps.
Shift output is consolidated by hand and reaches management once the problem has already played out.
Work orders, line plans, shift progress, actual output and defect rates updated on the shop floor.
Batch-level stock movements, bills of materials, shortage alerts and reconciliation against the production plan.
Stage-by-stage inspection sheets, defects logged with photos, root-cause analysis and corrective-action tracking.
Batch codes and QR labels on finished and in-process goods, so any customer complaint can be traced back.
Maintenance schedules, repair logs, spare-parts management and downtime statistics by cause.
Output, first-pass yield, equipment effectiveness and cost per order, compiled automatically instead of by hand at month end.
A system that looks good on an office PC but is awkward on the line gets abandoned within weeks, and the data goes back to spreadsheets.
Walking the production flow to see where data is created today and where information is being lost.
Modeling the steps, forms, roles and reports required, and fixing the scope of the pilot.
Deploying on one line or one workshop, running alongside the old method to cross-check the numbers.
Extending to the remaining workshops, connecting ERP and accounting, and completing management reporting.
Operators do not leave the machine to key data in. Screens sit on the line, team leaders carry tablets, and data reaches the system the moment an operation finishes.
Production data, standards and formulations are competitive assets. The system runs in a domestic data center, or on servers at the plant if you prefer.
An architecture that accounts for real plant conditions: weak signal, dust, heat and shifts that cannot pause for the system.
The code, data structures and documentation are yours, so your own team or another vendor can take over.
ERP is strong on planning, purchasing, inventory and finance, but rarely detailed enough on the floor: who worked which step, how long a machine stopped, where the defect appeared. Production software fills that gap and pushes aggregates back into ERP.
No. We pilot on one line and run alongside the old records until the two sets of numbers agree, then switch over and expand.
It depends on the machine. Anything with a data port or a common industrial protocol can be read for counts, status and alarms. For older machines with no port, the usual answer is a retrofitted sensor or a data-entry station.
Development is priced by module scope and how many process steps are digitized; infrastructure at published rates. The pilot is priced separately so you can judge it before committing to the whole project.
Book a survey and HiTechCloud will walk your plant, find where data is being lost and propose a pilot scope.
























































































































































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