What is MOM?

Manufacturing Operations Management (MOM), also known as Manufacturing Execution Systems (MES), is an all-inclusive consolidated software to better manage manufacturing operations.

Manufacturing Operations Management

What does MOM do?

Manufacturing Operations Management (MOM) integrates with all other systems such as ERP software, PLC’s, SCADA systems and other business applications to leverage better control and efficiency over the manufacturing process.

Manufacturing Operations Management (MOM) Improves speed, efficiency, quality and security for manufacturers by addressing key operational metrics like Customer responsiveness (On-time delivery, Manufacturing Cycle time, Time to make changeovers), Efficiency (Overall equipment effectiveness, capacity utilization, schedule attainment), Quality, Inventory turns, Compliance and operational profitability. MOM Software modules brings digital transformation to the shop floor by digitalizing:

  • Production Planning
  • Production Scheduling
  • Production Execution
  • Production Management
  • Production Performance
  • Production Intelligence
  • Laboratory Management
  • Formaulation Management
  • Specification Managament

Our team has proven experience to understand your business goals and help you identify the right technologies needed for your digital transformation & Industry 4.0 journey.

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Production Planning and Scheduling

Spreadsheets are limited in their ability to take periodic feedback from production and replan or reschedule. Today's ERP Production Planning modules have limited functionality to incorporate manufacturing constraints and are primarily designed to serve finance departments. Our planning and schedule software integrates with your spreadsheets or ERP, allows you to define material, labor and machine constraints to achieve schedule attainment and production levelling. Digital transformation of your production planning and control functions is needed if you are looking to improve production levelling, on-time delivery, inventory turns, changeover reduction and resource utilization.

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Manufacturing Execution Systems (MES)

Product Complexity and production complexity in plants and factories is increasing the adoption of flexible manufacturing systems. Improving production visibility, traceability, collaboration, speed and automation are inevitable for plants and factories to shift to predictive business models rather than firefighting. MES allows you to adopt paperless manufacturing, save countless hours in regulation & compliance, and improve operational excellence.

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Manufacturing Intelligence

Managing overall equipment effectiveness (OEE), control charts, production logs, downtime logs on paper takes away significant time of people managing the plant or factory. Manufacturing Intelligence connects, organizes and aggregates manufacturing data from disparate company sources into cohesive, intelligent and contextualized information.

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Laboratory Execution Systems (LES)

Post Covid-19, with increasing product complexity, regulation and compliance, managament of the laboratory with paper, spreadsheets and homegrown legacy systems is limiting discrete and process manufacturers be more agile to demand uncertainities, balance resource utilization and adhere to time constraints. Process manufacturers have the additional burden of ensuring specification and formulations are managed without human errors. Typical activities such as project data management, formula development, trial and experiment management, and production process design require an integrated set of best-in-class components ranging from electronic notebooks to laboratory management over specification management to supplier collaboration, pilot plant manufacturing and the like.

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Quality Management Systems (QMS)

Production Quality is a process-oriented, modular system that supports the closed-loop quality product lifecycle. The solution enables organizations to safeguard compliance, optimize quality, reduce defect and rework costs and achieve operational excellence by increasing process stability.

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