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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.
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. Those are very touching examples. I gave them the parameters and data.
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. Those are very touching examples. I gave them the parameters and data.
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 .
The COVID-19 pandemic is an extreme example of how this unfolds in practice. 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? Today's supply chains are networked, global ecosystems.
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.
This is a guest entry by Sander van Lokven, General Manager at Districon Solutions North America, an AIMMS implementation partner. S&OE and Data/Integration. To achieve this, integrating with live data is helpful, as well as getting detailed flow data on product availability, customer demand and KPIs.
An interesting example of this is the capability AIMMS has provided in the utility grid business for the last 15 years. Gartner states that “in 2020, 50% of organizations will have sufficient AI and data literacy skills such that they will achieve at least one AI project judged to deliver positive business value.
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.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources. Don’t have the right tools/tools are too complex or expensive. Lengthy time to plan/execute.
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. Those are very touching examples. I gave them the parameters and data.
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.
AIMMS formed a partnership with CAT Squared and UniSoma to help companies in the food industry tackle these challenges. For example, a large beef producer we visited did not centralize production planning, but let its different plants plan on their own. This is just an example of the challenges presented by the globalized market.
Let’s take the example of inventory optimization. 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.
AIMMS and ORTEC have developed a methodology to assess the maturity of the S&OP process. This can result in different teams using different data formats, diverging results from data analysis, and hence poorly aligned decision making. Let’s take the example of a large fiber manufacturer. S&OP Maturity Matrix.
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. ” – Tweet this. Summing up.
This month, we’re hosting a Data Visualization webinar with bestselling author Cole Nussbaumer Knafflic. Cole wrote the popular book “ Storytelling with Data ” and is also known for her blog. She also works with organizations and individuals to help them become more effective data storytellers through workshops.
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.
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.
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.
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS-based optimization to plan flights for families in need. Those are very touching examples. I gave them the parameters and data.
The need for advanced analytics in these areas is pressing, as large amounts of data are available , adding complexity to operations. Off-the-shelf tools cannot provide this, so they see a great opportunity to embrace a technology like AIMMS. Companies setting an example. CEPRI is using a unit commitment model built in AIMMS.
The AIMMS team at INFORMS. At a time when Big Data and Analytics have the spotlight but still seem to be developing, it was inspiring to hear real examples of using analytics to drive cost savings, operational efficiencies and real tangible business value. For example, the 2014 Edelman winner was the Kid Risk Team at the U.S.
This month, we hosted a Data Visualization webinar with bestselling author Cole Nussbaumer Knafflic. Cole wrote the popular book “Storytelling with Data” and is also known for her blog. She also works with organizations and individuals to help them become more effective data storytellers through workshops.
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS to optimize flight routes for families in need. Those are very touching examples. I gave them the parameters and data.
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.
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 .
Let’s take some examples. . A typical RFI question is : “can you copy and paste data from Excel into your solution?” If the company includes this in an RFI, it’s probably because its team can’t manipulate data very easily. Consider another example. appeared first on AIMMS SC Blog. Define inventory policies .
There are many great examples where advanced analytics have contributed to social good. Most recently, we encountered Angel Flight West , a non-profit organization that is using AIMMS-based optimization to plan flights for families in need. Those are very touching examples. I gave them the parameters and data.
There’s no doubt that the role of data, technology and analytics in retail decision-making is growing, and that this trend will further heat up over the next few years. You are currently using AIMMS for Warehouse Slotting Optimization. There are other areas where we are looking to apply optimization, most likely through AIMMS.
There’s no doubt that the role of data, technology and analytics in retailer decision-making is growing, and that this trend will further heat up over the next few years. You are currently using AIMMS for Warehouse Slotting Optimization. There are other areas where we are looking to apply optimization, most likely through AIMMS.
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.
Things like: how many different statistical models does the tool use, how do you enter/upload data, etc. For example: “I need to enable our supply chain planners to assess the impact of forward stock locations when introducing a new portfolio. Curious how AIMMS compares to other solutions?
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.
One use case I found particularly interesting was using data coming out of AI and Machine Learning (pattern recognition) to create what-if scenarios and actionable insights on the fly. Integrating Yammer to track the collaboration process during S&OP is a good example. . Teams are looking for solutions that incorporate social.
AIMMS formed a partnership with CAT Squared and UniSoma to help companies in the food industry tackle these challenges. For example, a large beef producer we visited did not centralize production planning, but let its different plants plan on their own. This is just an example of the challenges presented by the globalized market.
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. For example, you need to look at the different demographics and what their preferences are. “Emotional logic has a business sense as well.
An interesting example of this is the capability AIMMS has provided in the utility grid business for the last 15 years. Gartner states that “in 2020, 50% of organizations will have sufficient AI and data literacy skills such that they will achieve at least one AI project judged to deliver positive business value.
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.
Another example, this time in the oil industry, would be an oil blending app. For instance, Warehousing Optimization Apps for the holiday season that can easily pull data from the company’s ERP, or acquisition Apps that can help the customer understand market demand and the effects of the acquisition on their current Supply Chain.
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.
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. For example, you need to look at the different demographics and what their preferences are. “Emotional logic has a business sense as well.
Another example, this time in the oil industry, would be an oil blending app. For instance, Warehousing Optimization Apps for the holiday season that can easily pull data from the company’s ERP, or acquisition Apps that can help the customer understand market demand and the effects of the acquisition on their current Supply Chain.
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. ” – Tweet this. Summing up.
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