Toward Zero Blog for Digital Transformation Best Practices

If your company uses Jira, did you know you can use Epicflow with Jira to achieve optimal resource allocation across multiple Jira projects without burning out your people? Jira is the world’s most popular agile project management tool to manage sprints and epics. It is the preferred platform for organizing projects, and defining, assigning, and prioritizing tasks. Epicflow is the leading project resource management solution with built-in AI-driven predictive analytics to prioritize allocation. When used together, Epicflow enhances Jira so companies can get the most out of their most valuable asset – the workforce – utilizing the right people for the right project tasks, without overloading them. The result is a people-first approach to delivering projects on time without burning out and driving away employees.

Supply chain executives aren't just asking, "What is COE" … They’ve seen how other companies have successfully created a center of excellence (COE) to maximize the impact of their digital transformation. Manufacturers have used these COE’s as a unified way to set standards, drive continuous improvement, provide ongoing training, and cultivate innovation across the global enterprise. Given the success of these initiatives, supply chain leaders are urging their own company to apply this same concept to production scheduling. A center of excellence (COE) for production scheduling is a cross-functional collaboration to establish best practices and maximize the value of digitalization investments. However, the dialogue and efforts aren’t strictly limited to how to use the production scheduling platform. Manufacturers with a production scheduling COE focus on driving enterprise business results by:

• Aligning people, processes, and technology;

Merger of On-Time Edge and Toward Zero combines two companies with shared vision and values to help manufacturing companies accelerate digital transformation for manufacturing operations excellence and agile, accurate supply chains.

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:

1. Not enough data - Some OEE systems take up too much operator time to collect data and enter it into the system. Data is often spotty or inaccurate, making the OEE software useless.
   

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.

CESMII just named Toward Zero the Smart Manufacturing Innovation Award winner for its groundbreaking achievement in collecting smart manufacturing data from CNC machines. During an interview with Aaron Muhl, founder and president of the smart manufacturing engineering firm, I learned more about the award and the innovations that led to CESMII honoring the Toward Zero team.

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

It's not easy to narrow down the toughest production schedule problems schedulers face. We're hard-pressed to even imagine a "day in the life" guidebook for the manufacturing schedule heroes that balance inputs like materials, resources, inventories, customer service obligations, on-time order commitments, business rules, maintenance needs, and myriad other requirements to tackle complex optimization problems. We do know that there are three particularly difficult — yet common — situations that cause angst for shop floor schedulers that use spreadsheets, a whiteboard, or other manual methods to respond when the unexpected happens in the plant. Companies that arm production schedulers with an advanced planning and scheduling solution can respond and adapt to constantly changing conditions on the shop floor. Manufacturers that rely solely on the ERP system aren't usually equipped to handle events that happen in real time on the shop floor.

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.

If your company uses Jira, did you know you can use Epicflow with Jira to achieve optimal resource allocation across multiple Jira projects without burning out your people? Jira is the world’s most popular agile project management tool to manage sprints and epics. It is the preferred platform for organizing projects, and defining, assigning, and prioritizing tasks. Epicflow is the leading project resource management solution with built-in AI-driven predictive analytics to prioritize allocation. When used together, Epicflow enhances Jira so companies can get the most out of their most valuable asset – the workforce – utilizing the right people for the right project tasks, without overloading them. The result is a people-first approach to delivering projects on time without burning out and driving away employees.

Supply chain executives aren't just asking, "What is COE" … They’ve seen how other companies have successfully created a center of excellence (COE) to maximize the impact of their digital transformation. Manufacturers have used these COE’s as a unified way to set standards, drive continuous improvement, provide ongoing training, and cultivate innovation across the global enterprise. Given the success of these initiatives, supply chain leaders are urging their own company to apply this same concept to production scheduling. A center of excellence (COE) for production scheduling is a cross-functional collaboration to establish best practices and maximize the value of digitalization investments. However, the dialogue and efforts aren’t strictly limited to how to use the production scheduling platform. Manufacturers with a production scheduling COE focus on driving enterprise business results by:

• Aligning people, processes, and technology;

Merger of On-Time Edge and Toward Zero combines two companies with shared vision and values to help manufacturing companies accelerate digital transformation for manufacturing operations excellence and agile, accurate supply chains.

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:

1. Not enough data - Some OEE systems take up too much operator time to collect data and enter it into the system. Data is often spotty or inaccurate, making the OEE software useless.
   

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.

CESMII just named Toward Zero the Smart Manufacturing Innovation Award winner for its groundbreaking achievement in collecting smart manufacturing data from CNC machines. During an interview with Aaron Muhl, founder and president of the smart manufacturing engineering firm, I learned more about the award and the innovations that led to CESMII honoring the Toward Zero team.

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

It's not easy to narrow down the toughest production schedule problems schedulers face. We're hard-pressed to even imagine a "day in the life" guidebook for the manufacturing schedule heroes that balance inputs like materials, resources, inventories, customer service obligations, on-time order commitments, business rules, maintenance needs, and myriad other requirements to tackle complex optimization problems. We do know that there are three particularly difficult — yet common — situations that cause angst for shop floor schedulers that use spreadsheets, a whiteboard, or other manual methods to respond when the unexpected happens in the plant. Companies that arm production schedulers with an advanced planning and scheduling solution can respond and adapt to constantly changing conditions on the shop floor. Manufacturers that rely solely on the ERP system aren't usually equipped to handle events that happen in real time on the shop floor.

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.