With fruiSCE® Manufacturing Execution, businesses can execute, manage, and keep an eye on their manufacturing processes. It oversees equipment, personnel, and stock while providing full production process traceability. Each manufacturing order receives seamless work centre level information for material balancing, operation time, operational performance, and machine data. As a result of utilising all production data in real-time, fruiSCE® MES has a higher level global view and clear visibility of each work order, including its status and performance with granularity on the order of a minute.
Because of its crucial role, it is a crucial instrument for controlling the production process successfully by maximising the flow of information and giving operators and management quick, actionable data to reduce disturbance. ISA S88 and S95 standards are followed by fruiSCE® MES.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
Much less time is needed to transform raw resources into finished products with quality and quantity at check.
Data entry at each data point is either greatly reduced or removed because the majority of procedures are automated.
Management can rapidly and accurately make decisions by analysing the data collected at different data points.
Customer service can be much enhanced now that the necessary data is available.
Robust procedures are used in the entire production process so that it can handle any unforeseen circumstances.
The most recent technologies and enablers, like AI, ML, and process mining will empower the entire enterprise.
As all the requirements are satisfied beforehand, the handover between shifts is simple.
All the machines and work centers are connected using a range of integration protocols.
Consulting for all steps in strategy execution which include strategy planning, strategy translation, strategy reviews, PMO processes, risk management, strategy refresh, personal scorecards and others.
Implementation of strategy execution process aligning with all best practices which include Execution Premium, OKR, Enterprise PMO, Enterprise Risk Management, Personal Scorecards, and Strategy Analysis tools.
Integration with all complementing solutions and data sources to have seamless flow of data to make data available on time to enable better decision making.
Software solution which is comprehensive, easy to implement, easy to maintain empowered by latest technologies which include AI/ML, process mining, mobility, API enabled.
fruiSCE® MES is designed to cater services to various industries and the following are a few of them.