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Category archives: AIMMS

Catch up on Supply Chain Analytics news with our Summer Reading List

Posted on July 19, 2017 by Leave a reply

aimms-summerThe first half of this year has flown by and for many of us, it’s time for a much needed vacation. We’ve put together a new reading (and watch) list for this summer to help you gather some refreshing ideas as you gear up to plan for 2018. The list includes the best of our blog and news items, our latest webinars and most recent case studies. It’s the perfect companion for an inspiring holiday break! 

Best of our Blog:

  1. 3 compelling reasons to start using Prescriptive Analytics: AIMMS’ SVP, Gertjan de Lange, discusses 3 major reasons businesses are feeling more compelled to adopt Prescriptive Analytics, a form of advanced analytics that uses techniques like machine learning and mathematical modeling to help you improve decision making.
  2. AIMMS featured in IT Subway Map of European Supply Chain Software Providers: We’re proud to report that we’ve been featured in 5 different subway lines, or software categories, in this year’s IT Subway Map of European SC Software Providers. Looking for a software provider for Business Analytics, S&OP, Inventory Optimization, Production Planning & Scheduling or SC Network Design? Browse the map and you’ll find yourself in our stop!
  3. Supply Chain Network Optimization Technology is ripe for disruption: Network optimization software has become a big business that’s experienced exponential growth. There has been strong adoption of boxed solutions that are feature rich with many bells and whistles. Why hasn’t it become cheaper or easier to have an optimized network? Chris Gordon, AIMMS VP North America, discusses this on our blog.
  4. Why you don’t need perfect data to start implementing S&OP: To truly leverage S&OP to improve business performance and predictability, you need to embark on a change management process and you need the right technology to self-enable your team. Often, teams think they also need plenty of clean and accurate data to do it right. But starting small can pay off, as Boon Edam’s Aron Waas (Global SC Director) explains in our recent blog post.
  5. Companies in Asia Pacific eager to innovate with Supply Chain Optimization:  The adoption of advanced analytics has moved at a much slower pace in Asia Pacific compared to Europe or North America. But the tide is turning, as Lei Wang, AIMMS VP Asia Pacific, explains in this blog post.

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This entry was posted in AIMMS, analytics, Optimization, Prescriptive Analytics, Sales and Operations Planning, Supply chain optimization on by .

AIMMS Featured in IT Subway Map of European Supply Chain Software Providers

Posted on June 26, 2017 by Leave a reply

Choosing a supply chain software vendor can be a long and tedious process. You need to make sure the software has the right capabilities, that you have the right people on board to truly leverage it and that it will support and not hinder your processes. Supply Chain Media publishes a yearly IT Subway Map to help business leaders in their decision making process. We are pleased to announce that we’ve been featured once more in the report. This is the fourth time AIMMS is named in the IT Subway Map. This time, we have been allocated five different subway lines, or software categories.  

Mapping European Supply Chain Software

The IT Software Map reflects the diversity of supply chain software types. Companies are allocated positions on the map based on the number of implementations and the share of revenue for each software type in Europe. The age and size of the company also plays a role in the selection process.

With the Subway Map, business leaders can navigate a wide array of vendors available in the market for the most sought after solution types.  Supply Chain Media’s Martijn Lofvers explains: “The purpose of the IT Subway Map is to provide a wide overview of the supply chain software market in Europe. We know that users think in solutions, but we don’t want to put vendors in a box, as we recognize that some software types are very versatile. That’s why a single vendor can have multiple stops on the map.”

ITsubwayMap

 

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This entry was posted in AIMMS, IT Subway Map, Supply chain optimization on by .

Supply Chain Network Optimization Technology is Ripe for Disruption

Posted on June 20, 2017 by Leave a reply

innovation-aimmsSomething struck me after spending a few days in Phoenix at Gartner’s Supply Chain Executive Conference. Supply Chain Network Optimization is key to running an efficient and profitable operation today. But while the market has changed, network optimization hasn’t actually advanced much since the 1990s. Yes, there are lots more features and a big increase in computing power. Yet, network optimization is still just a richer version of the 90’s experience.

Analyzing the software market

Network optimization software has become a big business that’s experienced exponential growth. There has been strong adoption of boxed solutions that are feature rich with many bells and whistles. What I heard at the Gartner conference is growing frustration with these large packages that have become cumbersome to use, too difficult for the average supply chain expert, lack flexibility and have high price tags. Sound familiar?

So what is the alternative? First, we need to go back to the original purpose. Supply Chain teams shouldn’t be overly focused on technology. Instead, they should have their eyes set on the desired outcome. Supply Chain teams want a supply chain network that runs in an optimized fashion, with signals that indicate when and where to invest in future infrastructure. The network optimization tool should just be a means to an end.

So why hasn’t it become easier and cheaper to have an optimized network? Why are companies investing more and more in this focused discipline?

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This entry was posted in AIMMS, Innovation, Supply chain optimization on by .

Companies in Asia Pacific Eager to Innovate with Supply Chain Optimization

Posted on June 01, 2017 by Leave a reply

shanghai-2303480_1920The adoption of advanced analytics has moved at a much slower pace in Asia Pacific compared to Europe or North America. There are innovative firms that are setting the standard for innovation and successful analytics adoption, but as Actionable Intelligence expert Keith B. Carter explained in an interview with us last year, large businesses in the region are still lagging behind. In recent months, I‘ve been active in several events in the region and I’ve noticed a changing trend. Companies are increasingly eager to hear about optimization and advanced analytics. It’s not hard to see why. People are very intrigued by Prescriptive Analytics and Modeling, hearing success stories from counterparts in industries like energy and retail. Still, most businesses are worried about execution. Let’s take a closer look at their interests and concerns.  

Areas of interest 

There are several areas where companies are eager to apply optimization. These tend to be:

  • Network design and planning: the process of evaluating complex trade-offs to deliver a network plan that maximizes profits and minimizes costs.
  • Distribution center and coverage planning: a process to identify what the best location for your distribution centers is to ensure efficient and on-time deliveries across the chain.
  • Stock allocation: the process of aligning supply and demand to move merchandise in a fast and agile way.
  • Production planning: determining a production plan to serve different customers in an optimal way.

The need for advanced analytics in these areas is pressing, as large amounts of data are available, adding complexity to operations. However, there are some concerns hindering adoption. 

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This entry was posted in AIMMS, Asia Pacific, Supply chain optimization on by .

3 Compelling Reasons to Start Using Prescriptive Analytics

Posted on February 09, 2017 by Leave a reply

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 a type of Advanced Analytics that results in a recommended action. Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making.

Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. According to Gartner’s Forecast Snapshot, the Prescriptive Analytics software market will reach $1.1 billion in value by 2019. About 35% of companies are expected to adopt this type of analytics by 2020, but what exactly is driving adoption? AIMMS has been in the business for more than 25 years. Over time, we’ve identified 3 major reasons businesses feel compelled to adopt Prescriptive Analytics. Let’s explore them further.

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This entry was posted in AIMMS, Optimization, Prescriptive Analytics, Supply chain optimization on by .

Top 5 posts from our Supply Chain Blog in 2016

Posted on January 05, 2017 by Leave a reply

bestof2016As we step into 2017, we took some time to reflect on the most popular posts on our Supply Chain blog last year. Trending topics included S&OP, Prescriptive Analytics, Supply Chain Optimization, Supply Chain Centers of Excellence and Supply Chain Analytics. What are you interested in learning about this year? Let us know in the comments and check out the curated list of our most well-read blog posts in 2016:   Continue reading »

This entry was posted in AIMMS, Liberty Global, Prescriptive Analytics, Sales and Operations Planning, Supply chain optimization on by .

Optimizing Liberty Global’s Supply Chain: An Interview with Willem Vesters

Posted on December 08, 2016 by Leave a reply

willemLiberty Global is the world’s largest international TV and broadband company with operations in more than 30 countries. The company started working with AIMMS and our implementation partner Districon in October 2015 to develop a Demand Aggregation tool. Today, they are looking to expand their use of AIMMS for other planning capabilities. We had the pleasure to speak with Willem Vesters, Liberty Global’s VP Global Supply Chain Planning, to learn more about their optimization journey.

Hi Willem, can you please tell us more about your background?

I am originally from Breda, a city in the southern part of the Netherlands. I have a Master’s Degree in Aerospace Engineering from Delft University of Technology but I’ve spend most of my career in operations. I worked at ING for a short period, then moved to Philips and subsequently I became the Supply Chain Planning Director for Office Depot in Europe. These days, I head up the Supply Chain Planning division at Liberty Global.

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This entry was posted in AIMMS, Integrated supply chains, Liberty Global, Supply chain optimization on by .

Internet of Things (IOT), Cost-to-Serve, Segmentation and Supply Chain CoEs are unable to deliver promised business value without Prescriptive Analytics

Posted on November 08, 2016 by Leave a reply

business-idea-831053_1280Gartner’s Hype Cycle for CSCOs is a valuable read for current and potential Supply Chain leaders. It brings together a long list of trends, enabling technologies, business frameworks and competencies that should be in your consideration set. The big theme of course, is the digitization of the supply chain and the implications it will have on business performance. What seems very clear is that if you’re not planning to jump aboard this train very quickly, you’re going to have what will appear to be a stone-age supply chain within 5-10 years.

As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. We see our clients deliver strong value from digital innovation, but only when organizations have the knowledge and technology to do things differently. This requires Prescriptive Analytics, a type of advanced analytics that results in a recommended ACTION.

In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Let’s take a look at some of the competencies mentioned in Gartner’s report so I can provide evidence to back up this outrageous statement.

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This entry was posted in AIMMS, analytics, Prescriptive Analytics, Segmentation, Supply chain optimization on by .

Brexit: 5 Things Supply Chain Leaders Should Consider to Prepare for its Impact

Posted on July 20, 2016 by Leave a reply

eu-1473958_1280The Brexit is a reality and with it, companies in Europe are facing even more uncertainty than before. There is serious concern that the UK’s decision to leave the EU will bring further destabilization and economic risks. How will it impact your supply chain and your bottom line? This article discusses 5 key things supply chain leaders should consider post-Brexit. It also explains how analytics can help you determine the best way forward. Specifically, I will explore how Prescriptive Analytics can help you improve decision-making and make data actionable in an increasingly volatile economic landscape, instead of only providing insight into your data’s behavior.

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This entry was posted in analytics, Brexit, Prescriptive Analytics, Scenario building, Supply chain optimization on by .

AIMMS Sponsors the 18th Annual Supply Chain & Logistics Summit in Barcelona

Posted on June 29, 2016 by Leave a reply

IMG_0120Last week, part of our EMEA team (Christophe, Marcel and Kim) attended the Supply Chain & Logistics Summit as a sponsor for the fifth consecutive time. The conference took place in Barcelona. The overall theme of the Summit was the Value Chain and How to Build the Competitive Supply Chain of the Future. This main topic was covered throughout the whole program. Sessions addressed subjects like:

  • Enhancing Competitiveness Through Technology
  • Supply Planning & Optimization
  • Harnessing Logistics to Satisfy Customers
  • Leveraging the Global Economy

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This entry was posted in AIMMS, Conferences, Supply chain optimization on by .
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