# Excellence in Manufacturing Consortium (EMC): lean peer learning and the data behind it > Source: https://netray.co/manufacturing/excellence-in-manufacturing-consortium-canada > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Manufacturing Hubs ## Short answer The Excellence in Manufacturing Consortium (EMC) is a Canadian membership organization where manufacturers learn operational excellence and lean practices from each other. Its value to a plant is peer learning, and the practical limit on that learning is usually the quality of the plant's own ERP and shop floor data. ## Kind association ## Country Canada ## Area Operational excellence and lean manufacturing ## Intro The Excellence in Manufacturing Consortium (EMC) is a Canadian membership organization where manufacturers learn operational excellence and lean practices from each other. Its value to a plant is peer learning, and the practical limit on that learning is usually the quality of the plant's own ERP and shop floor data. ## Industries ### Discrete manufacturing and fabrication **Detail:** Machining, fabrication, assembly and equipment makers applying lean tools such as 5S, standard work and value stream mapping to reduce lead time. ### Automotive and industrial suppliers **Detail:** Plants with high volume repeat work where takt time, changeover reduction and quality at the source are central. ### Process and packaged goods **Detail:** Food, chemicals and consumer goods plants focused on yield, OEE and changeover between products. ## Ecosystem ### Excellence in Manufacturing Consortium (EMC) **Type:** association **Note:** Canadian organization that brings manufacturers together for peer learning on operational excellence, typically through events and plant visits. ### Canadian Manufacturers and Exporters (CME) **Type:** association **Note:** National association for manufacturers and exporters in Canada. ### NRC Industrial Research Assistance Program (IRAP) **Type:** federal program **Note:** National Research Council program that supports innovation at small and medium Canadian businesses. ### Next Generation Manufacturing Canada (NGen) **Type:** industry-led consortium **Note:** Federally supported consortium that connects and funds advanced manufacturing projects. ### Lean Enterprise Institute **Type:** lean education nonprofit **Note:** US nonprofit founded by James Womack that publishes and teaches lean thinking, widely used as a reference by plants applying lean. ### Shingo Institute **Type:** recognition and education body **Note:** Based at Utah State University, it publishes the Shingo Model and runs the Shingo Prize for operational excellence. ## Requirements - ISO 9001 quality management as the common baseline for many customers - Customer-specific standards such as IATF 16949 or AS9100 for automotive and aerospace work - Provincial workplace health and safety legislation, including lockout and machine guarding rules - Food safety schemes such as SQF or BRCGS and Safe Food for Canadians rules for food plants ## Sections ### What operational excellence means on the floor **Body:** Lean and operational excellence mean shortening lead time, reducing waste, standardizing work and measuring the right things at the machine and cell. Peer groups such as EMC help because plants can see how others actually run a daily management board or a changeover reduction project instead of reading about it. The ideas travel well. What does not travel is a number that cannot be trusted at home. ### The data problem behind lean metrics **Body:** OEE, on-time delivery, first pass yield and actual versus standard hours all depend on clean ERP and shop floor data: accurate routings, reported quantities, scrap codes and downtime reasons. Many plants find that reported times are batched at end of shift or that standards were set years ago. Before launching a measurement program, check how labor, scrap and machine time are reported, and fix the reporting step before blaming the shop. **Bullets:** - Standards that no longer match the real process - Scrap and rework not coded to a cause - Downtime logged as a generic reason - Lead times in the ERP that planners ignore ### ERP and systems commonly seen **Body:** Member plants run a wide range of systems, including Epicor Kinetic, Infor SyteLine/CloudSuite Industrial, Plex, DELMIAworks, NetSuite, Acumatica, SAP Business One and, in smaller shops, JobBOSS, E2 or spreadsheets. A modern MES or machine monitoring layer is often added for real-time data. Lean does not require a particular ERP. It does require that planning parameters, routings and inventory accuracy are good enough to support pull and flow decisions. ### Where private AI helps, and where it does not **Body:** A useful role for AI is answering improvement questions in plain language across ERP data: which routings run consistently over standard, which part families have the longest queue time, or where scrap codes cluster. It can also summarize improvement project notes and standard work documents held on file shares. It cannot replace going to the floor, and it will repeat bad data if the underlying reporting is poor. Start with read-only access and let process owners judge the answers. ## Faq ### What is the Excellence in Manufacturing Consortium? **Answer:** EMC is a Canadian membership organization of manufacturers that share operational excellence and lean practices with one another. Members learn from peers, typically through events and visits to member plants, rather than from a single consulting method. ### Does lean manufacturing need a specific ERP? **Answer:** No. Lean needs reliable data and stable processes more than a particular product. What matters is accurate routings, inventory and reporting, and the ERP's ability to support pull-based planning, kanban or cell-based scheduling if you use them. ### Why are our OEE and on-time numbers unreliable? **Answer:** Usually because the inputs are poor: end-of-shift labor reporting, missing downtime reasons, outdated standards or schedules planners override. Audit how each input is captured before trusting the metric, and fix capture at the source with scanning or machine data where it pays off. ### Can AI support continuous improvement work? **Answer:** Yes for analysis and search, such as spotting routings that consistently overrun or summarizing past kaizen records. It does not replace observation on the floor or ownership by the process team, and its output depends on the quality of your ERP and shop data. ## Search terms Excellence in Manufacturing Consortium, EMC Canada manufacturing, lean manufacturing Canada, operational excellence manufacturing Ontario, OEE ERP data quality, manufacturing peer learning Canada, lean ERP data accuracy --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json