fruiSCE Manufacturing Execution fruiSCE Manufacturing Execution simplifies manufacturing operations by overseeing equipment, staff, and inventory. It offers real-time data on production processes, ensuring full traceability. Each manufacturing order is supported with detailed information on materials, time, and machine performance. This enables a comprehensive view of work orders and their status, even down to minute-level details. fruiSCE MES adheres to ISA S88 and S95 standards, serving as a vital tool to optimize production by enhancing information flow. It provides operators and management with swift, actionable data to minimize disruptions. Learn more
fruiSCE MES adheres to ISA S88 and S95 standards, serving as a vital tool to optimize production by enhancing information flow. It provides operators and management with swift, actionable data to minimize disruptions. Learn more
Production Order Management Manage and handle production orders in all manufacturing environments with proper inventory management, operational reporting, labour and machine accountability, and costing via automated data flow.
Work Center Management Carry out reliable work centre operations, including all material movements, operational time stamp reporting, safety, automatic machine data flow using OPC UA, breakdowns, setup and run times, labor and machine time stamps.
Performance Analysis Increase overall productivity by taking proactive steps to identify machine defects, perform early diagnostics, and replace worn out parts. You should also perform a lead time performance analysis and receive regular information on OEE and SPC performance.
Statistical Process Control Using live data streaming from the machine (OPC UA protocol), keep an eye on production and machine process effectiveness and take appropriate action if any data points cross the upper and lower specification limitations.
Maintenance Management By issuing job orders, assigning resources like supplies and technicians, and receiving summary information regularly throughout the day, you may maintain machinery and equipment through preventative maintenance and ad hoc maintenance.
Time & Attendance Assigning tasks to the workers and keeping track of their attendance (leaves, vacations, time-in and time-out stamps, absenteeism) will help you gauge how well they are performing and make your workplace a better place to work.
Cost Management Conduct operations costing by capturing data manually or automatically for machine costs, labour expenses, maintenance costs, and overhead costs, and generating operations costs per unit of product to increase profitability.
Event Management AI/ML-enabled alerts or notifications are issued when a production process is affected by any malfunction in a machine or a production line, allowing the required action to be performed to increase manufacturing's safety and productivity.
Product Traceability Manufacturing is given a competitive edge and supply chain safety is increased thanks to the traceability of raw materials, work in progress, and final goods throughout all of the stages of the supply chain.
Quality Management Using sample and inspection management, quality combinations, and test result analysis, manage the quality and laboratory operations for raw materials, work in progress, finished goods, and procurement, manufacturing, and sales processes.
Risk & Compliance Identifies the primary inherent risks that exist within the production area, takes into account any processes and procedures used by production planning to regulate the processes using enterprise risk management techniques, and mitigates risks.
Data Management Facilitate supply chain automation, integrations, and links to a data lake. From there, connect to specific applications like Process Mining, AI, Analytics, Streaming, and send input to other applications like MES, ERP, etc. to get a competitive edge with data.
Data Architecture Data is provided for conducting process improvement efforts including Lean Six Sigma, TPM, 5S, Kanban, TQM, paperless shopfloors, regulatory compliance, continuous improvement, visibility, OEE, SPC, and AI/ML. Data integration will be seamless in firms that are data ready.
Overall Equipment Effectiveness To achieve excellence in manufacturing operations, define OEE, manage it by collecting data from the processing of production orders and automations, and compute OEE at the line, plant, and global levels.
Energy Management 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.