Case Analysis on Full Digital Intelligent Mold Lifecycle Management System Construction of Precision Stamping Equipment

Enterprise K is a professional manufacturer of multi-station servo punch presses and matched stamping molds, providing complete equipment + mold integrated solutions for new energy battery shell, auto chassis hardware and household appliance panel customers. The enterprise owns 52 sets of punch press test equipment and reserves more than 1,300 sets of finished and semi-finished stamping molds. Before digital mold transformation in Q1 2025, all mold drawings, forming parameters, maintenance records and wear data were stored in scattered local computers and paper files. There was no unified digital archive library, automatic maintenance reminder, warehouse positioning barcode management or virtual simulation pre-verification function. Frequent problems including long mold retrieval time, blind trial stamping leading to mold collision damage, overdue maintenance accelerating mold aging, inconsistent repeated debugging parameters and low production line operation efficiency restricted the enterprise’s capacity to undertake fast-delivery customized orders.

Starting from Q1 2025, Enterprise K invested in building a full-link digital intelligent mold management platform, covering six core modules: mold digital archive database, life cycle wear real-time monitoring, automatic maintenance early warning, mold warehouse barcode positioning, virtual stamping simulation and SMED quick mold change standardized auxiliary system. After 12 months of full-cycle running and iterative optimization, the enterprise achieved comprehensive improvements in mold service life, mold switching efficiency, product yield and order on-time delivery rate, becoming a municipal mold digital management benchmark in the punch press supporting industry.

2.1 Discrete mold data without unified archive management

Mold 2D/3D drawings, stamping pressure parameters, springback compensation data and historical repair records were stored separately by different technicians. When repeating similar products, engineers needed to spend hours sorting historical data, and key process experience was lost after staff turnover.

2.2 No regular maintenance mechanism, serious premature mold wear

Mold maintenance plans were arranged manually by foremen without standardized cycle reminders. Many molds worked long-term with fatigue wear, resulting in sudden cracking, burr out-of-tolerance and frequent scrap, bringing high mold remanufacturing cost and production stop loss.

2.3 Chaotic mold warehouse storage, extremely long search and transfer time

All molds were stacked randomly without classification coding and barcode positioning. When production lines needed to switch products, workers spent 20–30 minutes finding target molds, wasting a large amount of effective production time of punch presses.

2.4 No virtual simulation pre-inspection, high risk of physical trial mold damage

All new molds directly carried out physical stamping tests on punch presses without digital forming simulation. Improper parameter setting often caused mold collision, edge collapse and structural deformation, increasing mold repair cost and delaying new product launch progress.

2.5 Unstandardized mold change process, extremely long single switching cycle

The enterprise lacked unified SMED quick mold change operation standards and parameter one-click calling function. Every mold replacement required repeated debugging pressure, speed and holding time, with average switching time close to 20 minutes, resulting in low equipment effective utilization rate.

2.6 No full-life wear tracking, unable to predict mold replacement cycle

There was no automatic statistical module of mold cumulative stamping strokes. Managers could not accurately judge the remaining service life of each mold, unable to arrange mold pre-repair and replacement in advance, easily triggering unplanned production shutdowns during mass production orders.

Enterprise K focused on digital archiving, full-life monitoring, intelligent early warning, warehouse positioning, virtual simulation and standardized quick mold change, and implemented six systematic upgrading measures:

3.1 Build unified full mold digital archive database

Digitally sort all existing molds, upload complete 3D drawings, stamping process parameters, material matching schemes, historical maintenance records and defect treatment plans to the cloud platform, assign exclusive unique codes to each mold. Engineers can retrieve all historical data within 1 minute when developing similar products, realizing inheritance of mold process experience.

3.2 Install stroke counting sensors to realize full-life wear tracking

Install automatic stroke counting modules on all test punch presses. The platform records cumulative stamping times of each matched mold in real time, automatically calculates wear loss according to material hardness and stamping thickness, and predicts remaining service life to arrange pre-repair plans in advance.

3.3 Deploy intelligent maintenance early warning push mechanism

Set standard maintenance cycle thresholds according to mold tonnage, stamping material and daily usage frequency. When the service time or stroke count reaches the maintenance standard, the system automatically sends reminder messages to mold maintenance technicians, forming a closed loop of reminder – maintenance – record – review to eliminate overdue maintenance.

3.4 Implement mold warehouse barcode classification & positioning management

Carry out unified coding classification for all finished, semi-finished and standby molds, paste unique QR code labels corresponding to the digital platform. The warehouse layout is divided by product industry and tonnage; workers scan codes to quickly locate mold storage positions, and all mold inbound, outbound and transfer records are synchronized to the cloud in real time.

3.5 Add stamping virtual simulation module to avoid physical mold trial loss

Embed CAE forming simulation function in the mold management platform. Before new mold machining and trial production, engineers input plate thickness, material tensile strength and target dimensional tolerance to complete virtual stamping simulation, predict burr, springback and cracking risks, optimize mold structure and process parameters in digital space to reduce physical trial mold times and collision damage.

3.6 Match SMED quick mold change auxiliary system with one-click parameter calling

Sort standardized quick mold change SOP and store all mature mold parameter groups in the platform database. During mold switching, technicians call historical optimal parameters with one click, standardize internal and external mold change separation operations, greatly compress disassembly, debugging and trial run time of each mold replacement.

After one year of stable platform operation, all core indicators of mold efficiency, cost and product quality of Enterprise K achieved significant positive optimization, with strong replicability for all punch press manufacturers equipped with self-developed mold supporting business:

From comprehensive operation benefits, the digital intelligent mold management platform brings dual improvements of cost reduction and capacity expansion to Enterprise K. The annual comprehensive loss related to mold damage, rework and delayed delivery decreased by 58.6%, the enterprise’s monthly effective production capacity increased by 21.4%, and the on-time delivery rate of customized equipment + mold integrated orders rose from 83.5% to 99.2%. Stable mold precision and fast switching capability helped the enterprise sign long-term matching supply contracts with three well-known new energy component enterprises, effectively widening the gap with competitors relying on manual mold management.

This mold full-life digital management case is completely differentiated from spare parts operation, supply chain lean reform, digital twin workshop, talent construction and cross-border brand layout cases. It focuses on core mold asset digital refined management and flexible production efficiency improvement, providing a replicable efficiency upgrading path for punch press manufacturers with supporting mold business:

1. Molds are the most valuable core production assets of stamping enterprises. Discrete offline data and empirical maintenance will continuously generate invisible loss costs; digital full-life tracking can maximize mold service life and cut replacement expenditure.
2. Virtual pre-simulation before physical trial mold fundamentally solves the pain point of high mold collision and scrap loss in new product development, reducing raw material and equipment trial production waste without adding hardware investment.
3. SMED quick mold change matched with digital parameter library is the key to breaking the efficiency bottleneck of multi-variety small-batch production, directly lifting punch press OEE and order delivery capacity.
4. Unified mold digital archive realizes solidification of core stamping process experience, avoiding technical loss caused by personnel turnover and forming long-term process technical barriers that competitors cannot copy.

Enterprise K plans to link the digital mold platform with workshop MES production execution system in the next stage, realize automatic matching between production orders and corresponding mold parameter files, and further upgrade AI intelligent prediction function to automatically recommend optimal mold structure schemes according to customer product drawings. For the whole punch press and stamping mold supporting industry, digital full-life mold intelligent management will become standard supporting configuration for flexible production enterprises, jointly building a full intelligent production closed loop together with equipment digital twin, spare parts cloud management and lean supply chain systems, and pushing China’s stamping equipment manufacturing industry toward higher efficiency, lower loss and more customized high-quality development.