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Often, teams think they also need plenty of clean and accurate data to do it right. You are currently using AIMMS to enable your S&OP process. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel.
Supply chain data is critical to the planning function. Our recent Planning Maturity Assessment shows that 4 5 % of organizations are satisfied with their data quality, to some degree. The fact that more than half feel “neutral” or dissatisfied shows data quality is a considerable pain point. Let’s take a look. .
2015 was a very exciting year for AIMMS. The use of AIMMS PRO specifically is increasing, as companies are realizing the huge benefits of providing their staff with decision support tools. more times the number of AIMMS PRO Platforms in comparison to 2014. Just a couple of days ago, we also launched AIMMS PRO for Linux.
In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers. The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Scenarios to assess DC closures and the impact of shutdowns .
Time allocated to data collection: Data quality is a considerable pain point. How much time do teams spend on data vs. creative decision-making and discussion? The use of scenario analyses: How widespread is the use of scenarios prior to and during planning meetings?
2015 was a very exciting year for AIMMS. The use of AIMMS PRO specifically is increasing, as companies are realizing the huge benefits of providing their staff with decision support tools. more times the number of AIMMS PRO Platforms in comparison to 2014. Just a couple of days ago, we also launched AIMMS PRO for Linux.
Often, teams think they also need plenty of clean and accurate data to do it right. You are currently using AIMMS to enable your S&OP process. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel.
Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Product management in AIMMS IBP. Often, demand planners are located in supply chain, where there is more data affinity.
Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. They used an AIMMS model to plan the flight schedules and were able to save on 10 flights compared to the previous year through better planning. . I gave them the parameters and data.
S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.
AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. At AIMMS, we recognized this trend several years ago. This ultimately led us to launch AIMMS PRO and AIMMS SC Navigator later on. . More investment in data science . We turned 30 this year.
Often, teams think they also need plenty of clean and accurate data to do it right. You are currently using AIMMS to enable your S&OP process. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel.
Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . More than half (58%) say they don’t have the right resources in house, 35% say they don’t have upper management support and 27% say their data quality is too low. . The following obstacles bog companies down: .
Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS-based optimization to plan flights for families in need. I gave them the parameters and data. We had a couple of phone calls and he came back a few weeks later with a solution built in AIMMS. Everything was done manually before this.
An interesting example of this is the capability AIMMS has provided in the utility grid business for the last 15 years. AI’s probabilistic reasoning and optimization capabilities are expressed over a digital representation of 2000 machines to best meet demand, while simultaneously shaping demand through flexible pricing.
Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. They used an AIMMS model to plan the flight schedules and were able to save on 10 flights compared to the previous year through better planning. . I gave them the parameters and data.
AIMMS is used by several organizations for this purpose. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation. The post 3 Supply Chain Trends to Keep an Eye on in 2020 appeared first on AIMMS SC Blog.
Most businesses would agree that technology is falling short and can no longer meet business requirements. You trade data visibility for responsiveness. They are looking for a differentiator, a platform that can connect to their current ERP systems and databases, interprets data and adds value to the business.
I recently had the pleasure of speaking with Norm Jerome, a longtime AIMMS customer. It was great to learn about how AIMMS is used in the BP Petrochemical businesses and how it has been adopted by more and more end-users across the business. It was in that role that I first started working with AIMMS.
AIMMS has been in the market of prescriptive analytics (otherwise known as mathematical optimization) since 1989. At AIMMS, we recognized this trend several years ago. This ultimately led us to launch AIMMS PRO and AIMMS SC Navigator later on. . More investment in data science . We turned 30 this year.
For us, it was a special occasion because we had the opportunity to give the event’s audience a preview of AIMMS SC Navigator – our new analytics solution for supply chain teams. It was also a great venue to re-connect with existing customers and meet Gartner analysts, who gave us valuable feedback on our product.
Supply chain data is critical to the planning function. Our recent Planning Maturity Assessment shows that 4 5 % of organizations are satisfied with their data quality, to some degree. The fact that more than half feel “neutral” or dissatisfied shows data quality is a considerable pain point. Let’s take a look. .
Moreover, without powerful analytics that provide exciting insights – the S&OP process can be too tactical, too data input hungry and a lowlight on stakeholders’ monthly calendars. None was able to perform scenario comparisons in real-time to discuss insights with stakeholders during the meeting. Be cloud-based.
Given that we are a data-driven (math-loving) company, we wanted to test this range by running some scenarios to see what kind of results companies can expect across a variety of verticals. Justifying the investment: AIMMS Network Design ROI. appeared first on AIMMS SC Blog. Looking into opportunities.
Moreover, without powerful analytics that provide exciting insights – the S&OP process can be too tactical, too data input hungry and a lowlight on stakeholders’ monthly calendars. . None was able to perform scenario comparisons in real-time to discuss insights with stakeholders during the meeting.
84% of respondents in a 2017 study stated that they want an affordable network design solution, but only 54% of them thought available tools meet their price expectation. Drawing on Lora Cecere’s research again, companies are still thinking in transactional terms and not focusing enough on planning data.
Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS-based optimization to plan flights for families in need. I gave them the parameters and data. We had a couple of phone calls and he came back a few weeks later with a solution built in AIMMS. Everything was done manually before this.
S&OP technology needs to support companies to visualize all the data they need to support the different phases in your S&OP process, and facilitate collaboration. Suddenly, your S&OP meetings become more productive. How AIMMS S&OP Navigator can help. AIMMS is challenging that paradigm.
Network Optimization applications should cease utilizing data for a single purpose (the model) and share data with other functional SC needs. The value is in the platform that leverages data and skills across multiple supply chain functions. For example S&OP, Inventory Optimization and Workforce Scheduling.
For us, it was a special occasion because we had the opportunity to give the event’s audience a preview of AIMMS SC Navigator – our new analytics solution for supply chain teams. It was also a great venue to re-connect with existing customers and meet Gartner analysts, who gave us valuable feedback on our product.
I recently had the pleasure of speaking with Norm Jerome, a longtime AIMMS customer. It was great to learn about how AIMMS is used in the BP Petrochemical businesses and how it has been adopted by more and more end-users across the business. It was in that role that I first started working with AIMMS.
S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.
In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers. The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Scenarios to assess DC closures and the impact of shutdowns .
S&OP technology needs to support companies to visualize all the data they need to support the different phases in your S&OP process, and facilitate collaboration. Suddenly, your S&OP meetings become more productive. How AIMMS S&OP Navigator can help. AIMMS is challenging that paradigm.
UPS, for instance, has managed to save up $50 million a year in fuel, vehicle maintenance and time by optimizing vehicle routes with a big data model. They’re constantly battling with cost and the time needed to meet delivery modes. It’s easy to get things wrong by putting mail in the wrong mode or path.
Big data, analytics, BI…Everyone in business today has heard these terms at some point, and yet the path to analytics-driven business improvement remains somewhat elusive. Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! There is a huge marketing push for big data at the moment.
Network Optimization applications should cease utilizing data for a single purpose (the model) and share data with other functional SC needs. The value is in the platform that leverages data and skills across multiple supply chain functions. For example S&OP, Inventory Optimization and Workforce Scheduling.
Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . More than half (58%) say they don’t have the right resources in house, 35% say they don’t have upper management support and 27% say their data quality is too low. . The following obstacles bog companies down: .
AIMMS is used by several organizations for this purpose. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation. The post 3 Supply Chain Trends to Keep an Eye on in 2020 appeared first on AIMMS.
84% of respondents in a 2017 study stated that they want an affordable network design solution, but only 54% of them thought available tools meet their price expectation. Drawing on Lora Cecere’s research again, companies are still thinking in transactional terms and not focusing enough on planning data.
Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Product management in AIMMS IBP. Often, demand planners are located in supply chain, where there is more data affinity.
AIMMS, a global leader in advanced supply chain planning and optimization solutions, is excited to announce its strategic partnership with BigMile, a pioneering technology partner specializing in providing accurate carbon emission data for supply chain and logistics. Enhance supply chain efficiency and resilience.
UPS, for instance, has managed to save up $50 million a year in fuel, vehicle maintenance and time by optimizing vehicle routes with a big data model. They’re constantly battling with cost and the time needed to meet delivery modes. It’s easy to get things wrong by putting mail in the wrong mode or path.
Big data, analytics, BI…Everyone in business today has heard these terms at some point, and yet the path to analytics-driven business improvement remains somewhat elusive. Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! There is a huge marketing push for big data at the moment.
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