Construction Machinery & Equipment

Advantages of the plan

Demand delivery standardization: Through the efficient disassembly of orders, the coordinated linkage with each workshop's plans, the analysis of completeness, and the precise issuance, the plan's executability is strengthened, ensuring the reliability of the delivery cycle.
Transparency in the manufacturing process: Track and provide real-time feedback on all elements of the manufacturing process, namely "people, machines, materials, methods, and environment", throughout the entire process, achieving transparency, visualization, and refined management of the production process.
Warehouse management refinement: Based on precise management of storage locations, combined with the logistics-driven mechanism, achieve precise material loading and the full-process control of intelligent transportation and distribution by AGVs.
Full-cycle management of equipment: Starting from the stage of equipment entry and registration, implement full-cycle control over all aspects of equipment usage, including inspections, patrols, maintenance, and repairs.
Data collection automation: Through automated data collection technology, the real-time collection, control and visual presentation of equipment operation status and key parameters of the processing process are achieved, and at the same time, energy data collection and display are completed simultaneously.
Transparency of decision-making basis: By using a visual dashboard system, manufacturing business data is efficiently categorized and deeply analyzed, providing transparent basis for top-level decisions and promoting the sustainable development of the enterprise.

Demand Insights

The breakdown of orders and the collaboration between workshops rely on manual operations, which leads to a disconnection between the plan and the actual execution on site. Problems such as material shortages and equipment failures are difficult to respond to promptly. The delivery cycle often gets out of control due to insufficient plan feasibility.

The lack of digital tracking of "people, machines, materials, methods, and environment" leads to delayed recording of key process parameters and difficulty in tracing quality abnormalities. The black box nature of the manufacturing process results in slow response to problems and their repeated occurrence.

The lax management of storage locations and the lack of logistics scheduling have led to poor material completeness, delayed on-line operation, incomplete data on the full life cycle of equipment and passive maintenance, which has exacerbated downtime losses and resource waste.

Data related to equipment operation and production quality are scattered across various systems, forming isolated islands. Core indicators lack real-time dashboards for support, and due to the lag in data aggregation, top-level decisions are difficult to adapt to market demands in a timely manner.

Scheme architecture

整体架构包含基础工艺、计划排程、生产执行、数据采集、仓储物流、质量管控、设备运维、能源管理等核心模块，形成全流程管理闭环。顶层与 ERP、PLM 等上游系统无缝对接，实时获取工艺标准与计划指令；底层联通 PLC、AGV 等智能设备，实时采集生产执行数据，最终实现从计划到执行的全流程数字化管控与可视化运营。

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Typical case

Weichai

Construction Machinery of Linke Company

China Shipbuilding Industry Corporation

Jiangsu Anqiao

Tianshun Wind Energy

Luo Shi Robot

Light Cavalry Suzuki