Data Exercises Optimization Tools 
Logistics Viewpoints
MAY 23, 2024
Ensuring seamless data flow between these systems for various scenarios can be difficult, compounded by the need to maintain data integrity across different systems and scenarios, requiring continuous data validation, cleansing, and synchronization.
Logistics Viewpoints
MAY 22, 2023
If you have been through this process at least once, you already have a good idea of what supply chain design is about: optimization. When most people hear the word “optimization,” they immediately think about minimizing costs. But optimization is much more than that! First comes the data and how well we understand it.
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AIMMS
FEBRUARY 1, 2021
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. While businesses differ in complexity and size, for this exercise we extrapolated based on these $7.5Bn baselines. ” – Tweet this.
AIMMS
JANUARY 28, 2019
It was taxing to report above the country level with this tool. For instance, if I wanted to know what the HEINEKEN canning capacity was in Asia, I would have to sum up 20+ Excel files to sum up the data for all the breweries. There was no global master data in place either. This was not easy to do with an error-prone tool.
CLX Logistics
APRIL 27, 2016
As digitization continues to modify the global supply chain landscape, its unprecedented data sources and solutions will lead to not only the demise of disparate information systems, but to the rise of true, end-to-end, supply chain visibility. Augment and Set Visibility Tools In Place. By Cosmas Hoefnagels for Talking Logistics.
AIMMS
JANUARY 30, 2019
It’s great to see the enthusiasm for this interactive tool. . None of the respondents share data across multiple applications to manage inventory, network design and S&OP in an integrated way. “Do you currently use advanced analytics to optimize your network?” Spreadsheets are also known for being error-prone.
Logistics Viewpoints
SEPTEMBER 7, 2022
In a conversation with Everstream’s chief data officer, the executive told this writer that the company was using artificial intelligence (AI) and Big Data to solve this n-tier problem. The company had access to huge amounts of trade data, for example. It is not enough to have data; you need the right kind of data!
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