Electronics Industry

Intelligent solutions for intermittent assembly industry

Pain Points

1、Pain Points in Order Mgmt. and Production-sale Coordination

The enterprises in 3C industry are dealing with a high number of consumers. The ways to obtain orders, mainly manually via websites, emails and Wechats, require large amounts of human labor to collect, transcribe, register and follow orders, which is low in efficiency. Moreover, the poor coordination between production and sales causes frequent fluctuations of sales orders, which in turn affects production side and brings high employee turnover and low operation efficiency.

2、Pain Points in Supply Chain Coordination

The lack of coordination between procurement, suppliers and production causes long purchasing period, high purchasing costs and inefficient supplier mgmt. The uncontrolled material inventory, sluggish material supply and high inventory stock can severely affect the production delivery date, overall operation cost and efficiency.

3、Pain Points in Manufacturing Execution

The production processes in 3C electronics industry include the sheet metal fabrication, the injection molding, PCBA, the electronic parts and the final assembly. The sheet metal fabrication, relying mainly on equipment, is typified by the problem of equipment data silos and frequent equipment downtime. The efficiency is low because of a lack of online monitoring system. The injection molding process has the problem of data silos between injection machines and molds, with long mold changing times. There are also severe equipment data silos problems during PCBA and electronic parts process, in which the rate of AOI misjudgment is high. The final production process mainly relies on manual operation which requires highly on employees and error-proof measures. The core demands of manufacturing are the whole-process mgmt., quality trackability, error-proof measures and employee mgmt.

4、Pain Points in Equipment and Energy Mgmt.

The equipment interconnection level in 3C industry is low which leads to insufficient EHM. A lack of predictive analysis and frequent downtime lead to low equipment utilization rate. Moreover, a lack of energy and carbon neutral mgmt. make accurate energy mgmt. and energy saving beyond reach.


1、Order Coordination
Via GETECH’s order mgmt. platform, orders can be obtained automatically and efficiently, and can be transferred to internal production orders that are allocated automatically to downstream business systems.

2、Supply Chain Coordination
Via GETECH’s supply chain mgmt. platform, the planning, purchasing, suppliers and logistics are coordinated to ensure systematic, paperless and highly efficient info. communication.

3、Manufacturing Execution
Via GETECH’s MES, work orders are managed transparently from order placing, material error-proofing, process quality mgmt., to final production launch. The production progress info. are synced in real-time to be shared with the upstream business systems such as ERP and APS, ensuring transparent production process and prompt communication. The production process thus becomes highly coordinated.

4、Equipment Interconnection
Via GETECH’s IoT platforms, equipment data such as production, quality and automation are collected in real-time to realize online monitoring, abnormality alerts and visualized applications. Moreover, the equipment monitoring and management system in the EHM realized the full scenario, closed-loop, intelligent equipment maintenance.

5、Quality Traceability Mgmt.
Via GETECH’s QMS, the whole-process quality traceability mgmt. is coordinated. The GETECH’s Tianshu AI Vision Inspection can realize automated SMT defect detection and classification, abnormal process identification and error-proofing.

6、Carbon Neutral Mgmt.
Via GETECH’s carbon neutral mgmt. platform EMS, the energy use data is collected, visualized, and the carbon emission calculated, monitored and managed. Moreover, energy data can be used to reduce energy use and costs.

7、Big Data Operation
Via GETECH’s big data platform, the Order-to-Delivery production operational data of the whole value chain are coordinated, which can provide managers with data support. Its intelligent analyses and alert of abnormality data can assist management decision-making.


User Value


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