Category archives: AIMMS
Heineken is one of the world’s best-known beers. But for HEINEKEN International, the famed lager is only one of its products. The company owns more than 165 breweries around the world. It operates in 70 countries with a workforce of 80,000, producing over 300 specialty beers and ciders at international, regional and local levels. Planning such a large operation efficiently is no doubt a challenge, but HEINEKEN’s quest for efficiency started in the company’s early years. In 1966, HEINEKEN became one of the first Dutch companies to adopt container shipping. Decades later, they would debut a climate-efficient shipping route between their brewery and the port of Rotterdam. Today, the company is betting on prescriptive analytics to plan its operations more efficiently and prevent lost sales in a constantly changing market. AIMMS has been a crucial partner in this journey. To learn more about these efforts, we spoke with Wilko Sierksma, HEINEKEN’s manager for Network Design and Global S&OP.
Today’s most profitable companies have built their success on an effective and responsive supply chain network. But maintaining this is easier said than done. Supply chain networks are becoming increasingly complex, serving multiple SKUs in hundreds if not thousands of locations. Building agility and resilience into your network is more important than ever, with trade disputes and natural disasters posing a constant threat. Achieving this can be difficult if your technology is not flexible enough. Too often, firefighting becomes the norm.
We’ve developed a quiz to help supply chain professionals find out how their network design stacks up against others. The quiz is also a handy resource to identify improvement areas. For instance, did you know that while most companies use spreadsheets for network design, close to 90% of all spreadsheets contain errors? It may be time to revisit your tooling. Take the quiz below to find out how you score and how you can improve!
From import tariffs to the next tsunami: how Prescriptive Analytics can help you build agility and resilience into your Supply Chain NetworkPosted on May 22, 2018 by Paul van NieropLeave a reply
In a world full of turmoil, change has become the new normal. New import tariffs being introduced across the globe, extreme weather events, Brexit… The list goes on and on. What can Supply Chain leaders do to mitigate the risks that these disruptions bring to the Supply Chain? Businesses are constantly reminded that they need to be more agile and resilient in order to survive. But what does this mean when it comes to Supply Chain Network Design?
Sales and Operations Planning has become a standard process to improve business performance, collaboration and predictability. In fact, it’s become internalized to a degree that companies often have several (competing) S&OP processes in different geographies & business units. Why is it that despite its popularity, only 42% of companies rate their S&OP process as effective?
For three decades now I have been helping my clients with their Supply Chain questions….I have seen a lot of change along my journey. Some of my early projects included initiatives like helping large retailers transform from a pure paper-based operation inside their 4 walls to a first-generation Warehouse Management System (WMS). I also helped my clients with Sales & Operations Planning and with Distribution Network Design and Transportation Optimization Projects, to name just a few. In the past, all of these projects shared a few common traits including long, tedious and expensive implementations involving small armies of consultants. It would take a long time and a lot of money before businesses could see improvement. That is not the case any longer. Today, I am happy to say that I am still helping clients make better decisions. The big difference is AIMMS. Today, with our Agile approach and extremely cost-effective cloud native technology, my clients are using our software in a matter of days to improve their business.
The 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:
- 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.
- 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!
- 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.
- 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.
- 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.
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.
Sales & Operations planning has been around for 30 years. It was created initially by Oliver Wight and has become the standard procedure to improve business performance and predictability. Throughout the years, we’ve witnessed waves of interest in S&OP and its evolution IBP, which incorporates financial planning. In the past 2 years, we’ve seen the appeal of S&OP increase a lot more. But companies tend to struggle when it comes to finding the right technology to enable the process. In this blog post, I will delve into 5 issues companies typically experience with their S&OP software.
The whole purpose of S&OP is to discuss important questions today to prevent them from causing urgent issues 12 months from now. The business impact of this is profound. As Lora Cecere (Supply Chain Insights) explains, an effective S&OP process can result in a more controlled, aligned, agile, proactive and strategic supply chain. But to implement it effectively, companies first need to understand why S&OP is important for their business. Every company has different business drivers and different requirements. This makes S&OP implementation a difficult process, especially when it comes to finding the right tools.
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. We spoke with Keith B. Carter, Actionable Intelligence Expert and Decision Sciences Visiting Senior Fellow at the National University of Singapore Business School and Affiliate Professor Business Analytics Center, to unravel some of the difficulties managers face while embracing an analytics culture and discuss some best practices for success.
Keith is a global supply chain operations leader with over 16 years of extensive global experience in the Cosmetics-Beauty, Government, and Financial Services industries. He has managed teams across continents – from the United States to Belgium and Singapore. Previously, he worked at Estée Lauder in a variety of global supply chain roles, and Accenture in financial services and government. His book. Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!, provides expert guidance to establish a culture of fact-based decision making and appropriate high-speed governance.
Papyrus, a leading European paper wholesaler, started using AIMMS in May 2014 to implement radical changes in its supply chain network and re-envision its forecasting, replenishment & supplier management workflow. The company’s supply chain supports more than 68,000 customers in 20 countries from warehouses and cross-dock platforms strategically located across Europe. Historically, every region was served by a warehouse that stocked an estimated amount of paper to meet local demand. Suppliers delivered to approximately every warehouse, with long lead times of four to five weeks. Due to high MOQs and fragmented demand spread out across a large number of warehouses, deliveries were infrequent. This was a high stock solution which the company could no longer afford due to a secular decline in the demand for paper and the global economic crisis. To overcome this challenge, the company would need to embark in a supply chain transformation journey to reduce cost and inventory while improving availability.