fruiSCE® Manufacturing Execution helps organizations to execute, manage, and monitor the production process. It supervises machines, operators and inventory with complete traceability of the manufacturing process. Work center level reporting for material balancing, operation time, operational performance, and machine data is reported seamlessly against each production order. By capitalizing on all the production data in real-time, fruiSCE®MES has a clear visibility of each work order including its status and performance with granularity in the order of a minute and thus making it a complementary tool which has a higher level global view.
Owing to its pivotal role, it is an invaluable tool for effectively managing the production process by optimizing the flow of information and providing operators and managers with fast actionable data to minimize disruption. fruiSCE® MES follows ISA S88 and S95 standards.
The time consumed to convert raw materials into finished goods is significantly reduced
As most of the processes are automated, data entry at each data point is either significantly reduced or completely eliminated
The data recorded at various data points can be analyzed and management can take better informed decisions, quickly
As the required data is at hand, customer service can be drastically improved
The entire manufacturing process is transformed with the help of robust processes to be able to handle any unexpected scenarios
With the help of latest technology and enablers such as AI, ML, and Process Mining the entire organization can be empowered
The handover done between shifts becomes effortless as all the parameters are met before hand
All the machines connected with variety of integration protocols to view the specialized data to see the performance data online and take decisions proactively.
Maintain and process production orders for all manufacturing environments with proper management of inventory movements, operational reporting, labour and machine accountability, costing through automated data flow.
Perform robust work center operations with all material movements, reporting of operational time stamps, safety, automatic data flow from machines through OPC UA, break downs, setup and run times, labour and machine time stamps.
Monitor production and machine process effectiveness through Live data streaming through machine (OPC UA protocol) and take actions if any data points crossing UCL, LCL with view on upper and lower specification limits.
Maintain machines and equipment through preventive maintenance, and ad hoc maintenance through creating job orders and assigning resources such as materials, technician, etc and get summary updates continuously on daily basis.
Assign jobs to the employees and monitor their work presence through leaves, holidays time-in and time-out stamps, absenteeism, to assess the effective performance of employees and improve the work environment.
Act proactively to detect machine faults, early diagnostics, and part replacements to increase overall productivity to do a lead time performance analysis and also keep notified about OEE and SPC performance with periodic updates.
Perform costing on operations through machine costs, labour costs, maintenance costs, over head costs through recording the data manually or automatically and generate costs for operations per unit product and improve profitability
AI/ML empowered alerts or notifications generated when production process is disturbed by any disturbance in production line or machine so that appropriate action can be taken to improve the safety and productivity of manufacturing.
Traceability of material sources, work in process, and finished products through all the stages of supply chain to enable dynamic supply chain for recalls and replacements makes manufacturing a competitive advantage and improve safety across supply chain.
Manage quality and laboratory processes for raw materials, work in process, finished products for procurement, manufacturing, and sales processes through sample and inspection management, quality combinations, and test results analysis.
Identifies the major inherent risks within the production area, factors in any processes and procedures practiced by the production planning to control the processes through enterprise risk management approaches and eliminate, mitigate or manage risks.
Enable supply chain automation and integrations for all data sources and link to a data lake and from there connect to individual applications like Process Mining, AI, Analytics, Streaming, and provide feedback to other applications like MES, ERP etc to get competitive advantage with data.
Data available for performing process improvement initiatives such as Lean Six Sigma, TPM, 5S, Kanban, TQM, paperless shopfloor, regulatory compliance, continuous improvement, visibility, OEE, SPC, and AI/ML. The data ready organizations will have seamless data integration.
Define and manage OEE through measuring all the data through production order processing and automations and calculate Line level OEE, plant level OEE and global OEE to optimize operations and achieve excellence in manufacturing operations.
Generate energy consumption plans by production line, production plant with standard consumption requirements and record actual energy consumptions through energy meters automatically and reduce the overall cost of energy consumption.
fruiSCE® MES is designed to cater services to various industries and the following are a few of them.
Transportation management in the context of COVID-19 pandemic Transportation management is a ..
"Achieved robust transformation of supply chain planning and budgeting process through Enterprise Performance Management implementation".