Digital transformation advisors, supply chain experts, smart manufacturing engineers, data and applications architects, and manufacturing business consultants showing manufacturers how systems should work and how to get the ROI you expect.
Over the years, our smart manufacturing consultants and systems engineers have narrowed down the top three reasons why manufacturing companies say they turn off OEE software:
Manufacturers in life sciences have a strong appetite for smart manufacturing, and many are evaluating production scheduling software for medical device. We’re not surprised since medical device manufacturing is highly complex when it comes to production planning and scheduling. Supply chain professionals in med device face a wide variety of production processes, regulatory considerations, diverse materials and suppliers, and potentially thousands or tens of thousands of SKUs. These complexities translate to exponentially more production scheduling variables than other manufacturing sectors. When it's time to switch to production scheduling software for medical device manufacturing, more variables means many more models required to automate scheduling processes.
Part one of the Planning, Scheduling, and OEE Mighty Trio series provides a brief summary of what OEE is and explains how one of the OEE data components – efficiency – can have a meaningful impact on planning, scheduling, and optimization. This edition explores using unplanned downtime data from OEE, and OEE efficiency data by SKU for planning, scheduling, and optimization.
This article is part two of a two-part series. Continue reading, or check out part one now.
Is your company using overall equipment effectiveness (OEE) data for better planning, scheduling, and optimization? Production schedulers are typically masters at applying available information in creative ways. However, some production planners are unsure how best to put OEE data to work in their production scheduling software to improve and optimize the manufacturing production schedule. If your company has an OEE system to record unplanned downtime, micro stops, and other reasons for capacity loss, you have access to a rich source of efficiency data. Every machine, line, and work center using the OEE system can benefit even more from your schedule optimization efforts if you apply the OEE data for a better production schedule. The key is understanding what the OEE data means and how to use it for even better planning, scheduling, and optimization.
This article is part one of a two-part series. Continue reading, or check out part two now
As companies continue to prepare for digital transformation, the debate around which data protocol is better for smart manufacturing systems rages on. The need to capture data from HAAS machines and other manufacturing equipment is a critical component because much of the data required for smart manufacturing originates in your company’s machines, robots, processing equipment, and inspection equipment. In some cases, the data resides in a computer on board the equipment; in many cases, the data sits in a proprietary controller. These data sources use a wide variety of protocols. Many standards organizations have attempted to consolidate communication protocols. A few leaders have emerged, but that perhaps has made decisions about how to capture machine data for smart manufacturing even more complex.
Your company's production planner might be searching for a better way to handle unplanned downtime on the production schedule. Without the right production planning and scheduling software, dealing with unplanned downtime in manufacturing can be a headache. Yet unplanned downtime happens more often than people think: An unexpected maintenance issue causes a machine to stop working. Material is late or misplaced. A changeover takes longer than anticipated. Perhaps a trained operator is unexpectedly out for the day. Dozens of scenarios like these cause lines to stop. When unplanned downtime happens, everyone is relying on the production planner to make the right adjustments to minimize the impact on customer service commitments, staffing schedules, and operations in general.
There are many well-documented benefits of digital factory and paperless quality initiatives for manufacturing plants. A paperless quality system reduces costs, facilitates faster implementation of changes, provides tighter change management control, and makes quality data available for reporting and analytics systems. Ultimately, paperless quality is already a large part of the Industry 4.0 value proposition. As technology costs continue to drop, companies are prioritizing paperless quality initiatives. However, many organizations struggle to migrate from their existing system to paperless quality in manufacturing.
Does your company think of production planning and scheduling as simply a plant process to convert orders into a daily manufacturing plan? If so, it might be missing out on some of the greatest opportunities to improve on-time delivery, optimize inventories, and increase profitability. Over the years I’ve observed repeatedly how data helps companies eliminate conflicts, set priorities, and bring people together around shared objectives. The longstanding plant-supply chain balancing act is a common one among manufacturers, and for the last five years I’ve had a front-line view of how world-class companies use data to overcome plant-supply chain conflicts.
When we have conversations with manufacturing leaders around the country there are two topics that are brought up more than any others. The Industrial Internet of Things (IIoT) and Overall Equipment Effectiveness (OEE).
You want to select OEE software that matches your manufacturing process, integrates with your existing manufacturing technology, and will be accepted by your people.
Over the years, our smart manufacturing consultants and systems engineers have narrowed down the top three reasons why manufacturing companies say they turn off OEE software:
Manufacturers in life sciences have a strong appetite for smart manufacturing, and many are evaluating production scheduling software for medical device. We’re not surprised since medical device manufacturing is highly complex when it comes to production planning and scheduling. Supply chain professionals in med device face a wide variety of production processes, regulatory considerations, diverse materials and suppliers, and potentially thousands or tens of thousands of SKUs. These complexities translate to exponentially more production scheduling variables than other manufacturing sectors. When it's time to switch to production scheduling software for medical device manufacturing, more variables means many more models required to automate scheduling processes.
Part one of the Planning, Scheduling, and OEE Mighty Trio series provides a brief summary of what OEE is and explains how one of the OEE data components – efficiency – can have a meaningful impact on planning, scheduling, and optimization. This edition explores using unplanned downtime data from OEE, and OEE efficiency data by SKU for planning, scheduling, and optimization.
This article is part two of a two-part series. Continue reading, or check out part one now.
Is your company using overall equipment effectiveness (OEE) data for better planning, scheduling, and optimization? Production schedulers are typically masters at applying available information in creative ways. However, some production planners are unsure how best to put OEE data to work in their production scheduling software to improve and optimize the manufacturing production schedule. If your company has an OEE system to record unplanned downtime, micro stops, and other reasons for capacity loss, you have access to a rich source of efficiency data. Every machine, line, and work center using the OEE system can benefit even more from your schedule optimization efforts if you apply the OEE data for a better production schedule. The key is understanding what the OEE data means and how to use it for even better planning, scheduling, and optimization.
This article is part one of a two-part series. Continue reading, or check out part two now
As companies continue to prepare for digital transformation, the debate around which data protocol is better for smart manufacturing systems rages on. The need to capture data from HAAS machines and other manufacturing equipment is a critical component because much of the data required for smart manufacturing originates in your company’s machines, robots, processing equipment, and inspection equipment. In some cases, the data resides in a computer on board the equipment; in many cases, the data sits in a proprietary controller. These data sources use a wide variety of protocols. Many standards organizations have attempted to consolidate communication protocols. A few leaders have emerged, but that perhaps has made decisions about how to capture machine data for smart manufacturing even more complex.
Your company's production planner might be searching for a better way to handle unplanned downtime on the production schedule. Without the right production planning and scheduling software, dealing with unplanned downtime in manufacturing can be a headache. Yet unplanned downtime happens more often than people think: An unexpected maintenance issue causes a machine to stop working. Material is late or misplaced. A changeover takes longer than anticipated. Perhaps a trained operator is unexpectedly out for the day. Dozens of scenarios like these cause lines to stop. When unplanned downtime happens, everyone is relying on the production planner to make the right adjustments to minimize the impact on customer service commitments, staffing schedules, and operations in general.
There are many well-documented benefits of digital factory and paperless quality initiatives for manufacturing plants. A paperless quality system reduces costs, facilitates faster implementation of changes, provides tighter change management control, and makes quality data available for reporting and analytics systems. Ultimately, paperless quality is already a large part of the Industry 4.0 value proposition. As technology costs continue to drop, companies are prioritizing paperless quality initiatives. However, many organizations struggle to migrate from their existing system to paperless quality in manufacturing.
Does your company think of production planning and scheduling as simply a plant process to convert orders into a daily manufacturing plan? If so, it might be missing out on some of the greatest opportunities to improve on-time delivery, optimize inventories, and increase profitability. Over the years I’ve observed repeatedly how data helps companies eliminate conflicts, set priorities, and bring people together around shared objectives. The longstanding plant-supply chain balancing act is a common one among manufacturers, and for the last five years I’ve had a front-line view of how world-class companies use data to overcome plant-supply chain conflicts.
When we have conversations with manufacturing leaders around the country there are two topics that are brought up more than any others. The Industrial Internet of Things (IIoT) and Overall Equipment Effectiveness (OEE).
You want to select OEE software that matches your manufacturing process, integrates with your existing manufacturing technology, and will be accepted by your people.