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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.
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 .
AIMMS has been a crucial partner in this journey. Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? How did you do things before the introduction of AIMMS? . There was no global master data in place either. We had existing AIMMS capabilities in-house, as we use other models built in AIMMS.
Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. Your team is currently using AIMMS for a supply chain optimization project. Before we introduced AIMMS, we had a more conventional way of doing things, using spreadsheets.
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.
The list includes the best of our blog and news items, our latest webinars and most recent case studies. Chris Gordon, AIMMS VP North America, discusses this on our blog. Often, teams think they also need plenty of clean and accurate data to do it right. It’s the perfect companion for an inspiring holiday break! .
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.
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.
According to AIMMS VP EMEA Christophe Frère , there are 2 noticeable streams of technology implementation within European businesses today: The largest enterprises tend to focus on managing master data with one single integrated system, that being SAP in most cases. You trade data visibility for responsiveness.
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.
The list includes our best supply chain analytics blogs and news items, our latest webinars and most recent case studies. Chris Gordon, AIMMS VP North America, discusses this on our blog. Often, teams think they also need plenty of clean and accurate data to do it right.
If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. AIMMS has been in the business for more than 25 years.
Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. Your team is currently using AIMMS for a supply chain optimization project. Before we introduced AIMMS, we had a more conventional way of doing things, using spreadsheets.
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 .
AIMMS has been a crucial partner in this journey. Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? How did you do things before the introduction of AIMMS? . There was no global master data in place either. We had existing AIMMS capabilities in-house, as we use other models built in AIMMS.
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.
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. The same customer decided to experiment in other areas using AIMMS technology, following this initial network study.
If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. AIMMS has been in the business for more than 25 years. Typically, organizations use Excel to start getting insights about what to do when, using data from transactional systems.
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.
AIMMS has been a crucial partner in this journey. Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? How did you do things before the introduction of AIMMS? . There was no global master data in place either. We had existing AIMMS capabilities in-house, as we use other models built in AIMMS.
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. The same customer decided to experiment in other areas using AIMMS technology, following this initial network study.
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.
Drawing on several case studies, Gartner’s Research Vice President, Noha Tohamy, offered a simple but convincing argument : analytics supports both business growth and “smart automation.” Advanced analytics puts the power of data at your fingertips. “Why should we invest in analytics?” Executives often ask themselves this question.
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