Overhead Crane Digital Management Platform Recognized by MIIT

Digital transformation in the equipment manufacturing industry is shifting from point-specific applications to full-process integration. As a supplier of foundational equipment to heavy industry, an overhead crane manufacturer's own manufacturing digitalization level directly determines product consistency and delivery efficiency. Kelude Heavy Industry has recently been officially designated as a provincial smart manufacturing demonstration enterprise, while its independently developed full-process digital management platform for overhead cranes has passed the relevant MIIT certification. This marks the company's digital integration capabilities across five core areas—product design, process management, production execution, quality inspection, and after-sales service—as having reached national demonstration-level standards. This article provides a systematic overview from four perspectives: certification background, platform architecture, key digitalization areas, and retrofit results.

Provincial Smart Manufacturing Demonstration: Criteria and Selection Process

The provincial smart manufacturing demonstration enterprise designation is organized by the Provincial Department of Industry and Information Technology. Based on the "Administrative Measures for the Recognition of Smart Manufacturing Demonstration Enterprises" and the GB/T 39116-2020 "Smart Manufacturing Capability Maturity Model" standard, applicants are evaluated across four capability domains: personnel, technology, resources, and manufacturing. The designation has three levels: Demonstration Level (Level 3, maturity level 3 and above), Pilot Level (Level 2, maturity level 2), and Cultivation Level (Level 1, maturity level 1).

In this selection round, 127 enterprises across the province submitted applications. After three stages—document review (compliance check), expert evaluation (technical solution assessment), and on-site verification (field validation of digital system operations)—43 enterprises ultimately received demonstration-level designation, an approval rate of approximately 34%. The review experts' on-site inspection of Kelude Heavy Industry focused on five areas: PLM-ERP data integration (design BOM to production BOM automatic conversion accuracy required to exceed 95%), MES process parameter distribution and equipment data collection coverage rate (required to cover over 80% of key processes), warehousing and logistics digitalization (WMS-AGV coordinated dispatching), digital quality management (automatic inspection data collection and SPC analysis capability), and equipment networking rate (key equipment networking rate required to exceed 90%). All five criteria met or exceeded the review requirements.

Full-Process Digital Management Platform Architecture

The full-process digital management platform for overhead cranes is built on four core systems—PLM, ERP, MES, and WMS—as its backbone, connecting the entire data flow from customer requirements to product delivery and eliminating data silos between systems in traditional manufacturing enterprises.

Product Lifecycle Management (PLM): A crane-specific PLM system customized on the Windchill platform, managing the entire process from concept design and detailed design (including 3D CAD models and 2D engineering drawings), process design (including welding WPS preparation, assembly process planning, and labor hour quotas), BOM management (three-level conversion from design BOM to process BOM to manufacturing BOM, with an automatic mapping rate of 97.3%), to technical file archiving. The PLM system is deeply integrated with SolidWorks and AutoCAD 3D design software. When design personnel complete variant designs in CAD, the PLM automatically extracts the design BOM and initiates the BOM conversion process. The PLM system currently manages 28 overhead crane product models in production, with over 1,500 associated technical files.

Enterprise Resource Planning (ERP): Built on the UFIDA U8+ platform, covering seven modules: sales order management, procurement planning, supplier management, inventory management, production scheduling, financial accounting, and cost management. The ERP system is integrated with PLM BOM data. When production planners release work orders in the ERP, the system automatically links to the process routes, standard labor hours, and bill of materials in the PLM—no manual entry of process data required. The material availability check function automatically verifies inventory levels of required raw materials and components before work order release, and generates procurement suggestions for any shortages. The average processing time from work order creation to material availability feedback has been reduced from the traditional 2–3 days to 2 hours.

Manufacturing Execution System (MES): The self-developed e-Crane MES system covers six workshop processes: cutting, welding, machining, assembly, coating, and final assembly and commissioning. Core functions of the MES include: electronic work orders (paperless operation instructions pushed to workstation terminals), process parameter distribution (welding parameters, bolt torque, etc. delivered directly to smart welding machines and electric tightening tools via MES), quality inspection (automatic inspection task assignment, barcode-based inspection result entry, and digitalized non-conforming product handling), equipment status monitoring (real-time dashboards for operating status, OEE, and utilization of key equipment), and labor hour collection (employees clock in/out via card swipe, with labor data automatically aggregated into the ERP cost module). Since the MES went live, data collection coverage rate for key processes in the welding and assembly workshops has increased from 15% to 92%.

Warehouse Management System (WMS): Manages three types of storage areas: raw material warehouse (steel plate, profile, welding consumables, standard parts, etc.), semi-finished goods warehouse (cut parts, welded components, machined parts), and finished goods warehouse (complete cranes and major components). The WMS system synchronizes inventory records with the ERP in real time. Inbound and outbound operations are completed via PDA scanning, with inventory accuracy improving from 86% before implementation to 99.3%. The WMS also interfaces with the AGV dispatching system, automatically sending material issue instructions to the AGV fleet. The average response time for AGVs to deliver materials from the warehouse to designated workstations is 15 minutes.

Measurable Results from Key Digitalization Initiatives

The impact of the full-process digital management platform can be quantified across three dimensions:

Shorter order delivery time. The full-cycle lead time from customer order to product shipment averaged 42 days before the digital platform went live (including 5 days for design, 3 days for process preparation, 7 days for procurement, 24 days for production, and 3 days for inspection and shipping). After implementation, this was reduced to 28 days—a reduction of approximately 33%. Three key drivers contributed to this compression: automatic design-to-manufacturing BOM conversion eliminated data transfer time between design, process, and procurement (saving approximately 3 days); MES electronic work orders and direct process parameter distribution reduced production preparation time (saving approximately 2 days); and material availability checks and inventory transparency eliminated waiting time due to material shortages (saving approximately 4 days).

Improved product quality stability. Digital quality management enables full-process traceability and real-time statistical analysis of quality data. Welding process parameters (current, voltage, welding speed) are distributed directly to welding machines via MES, with actual welding parameters collected in real time. Automatic early warnings are triggered when parameters deviate from the WPS range. The first-pass welding acceptance rate has increased from 89.5% before digitalization to 95.8%. For critical bolted connections in the assembly process, bolt torque is collected via networked electric tightening tools, with torque pass rate improving from 92% under manual operation to 99.7%. The tightening curve for every bolt is archived in the MES system, allowing precise traceability to the operator, tool ID, and tightening time.

Enhanced production efficiency. After introducing a plate nesting optimization system (based on the NestFabric algorithm) in the cutting workshop, steel plate utilization increased from 68% to 78%. Based on an annual output of 500 cranes and annual steel plate consumption of approximately 3,000 tons, this saves roughly 300 tons of steel per year. At the current average price of Q355B (≈S355JR) steel plate of approximately RMB 4,500 per ton, this translates to material cost savings of about RMB 1.35 million (approximately $200,000). In the welding workshop, MES-based automatic scheduling and workstation-level task push have increased average welding equipment utilization from 62% to 78%.

Synergy Between the Digital Platform and Smart Crane Products

The value of a digital manufacturing platform extends beyond efficiency gains within the production process—it also creates synergies with intelligent overhead crane products. Operational and manufacturing process data accumulated in the full-process digital management platform for overhead cranes is now feeding back into product design optimization and remote service capabilities. For instance, customer customization data recorded in the PLM system is used to analyze configuration trends across crane models, helping prioritize standard configuration solutions and variant designs. Statistics show that approximately 65% of orders are concentrated in three standard configuration solutions, and standardized design can further reduce design cycle time to 2 days. By combining welding process parameters collected by the MES system with AI-based wire rope detection data from the remote operation and maintenance platform, a correlation model between welding quality and wire rope service life can be established, providing data-driven support for continuous optimization of welding process parameters.

FAQ: Smart Manufacturing Certification & Platform Integration