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Analysis of the Ripple Effect for a Dow Chemical Supply Chain

Analysis of the Ripple Effect for a Dow Chemical Supply Chain

by VeraMackus | Jun 21, 2023

Analysis of the Ripple Effect for a Dow Chemical Supply Chain  The Suez Canal blockage in March 2021 caused a significant disruption in global trade, impacting numerous supply chains. Supply chain disruptions have far-reaching consequences, affecting not only...
Packaging process optimization of liquid chemicals by using discrete event simulation at Sachem

Packaging process optimization of liquid chemicals by using discrete event simulation at Sachem

by VeraMackus | Apr 24, 2023

Packaging process optimization of liquid chemicals by using discrete event simulation at Sachem Packaging plays a crucial role in modern supply chains, ensuring that products arrive safely at their destination. Much of the packaging we use today are made from...
Analyzing the ‘multi-item production-inventory’ model at Lamb Weston /Meijer, via Royal HaskoningDHV

Analyzing the ‘multi-item production-inventory’ model at Lamb Weston /Meijer, via Royal HaskoningDHV

by VeraMackus | Nov 9, 2022

Analyzing the ‘multi-item production-inventory’ model at Lamb Weston /Meijer, via Royal HaskoningDHV In the Netherlands, over 2 billion tons of frozen potato products are manufactured each year, and Lamb Weston /Meijer (LWM) is one of the companies that serve the EMEA...
Improving the manufacturing system of anti-scatter grids at Philips

Improving the manufacturing system of anti-scatter grids at Philips

by VeraMackus | Oct 21, 2022

Improving the manufacturing system of anti-scatter grids at Philips Ever heard of the DRC-FJSSP-SSO? This ‘Dual Resource Constraint Flexible Job Scheduling Problem with Scarce Setup Operators’ is at the heart of Bas Giesen’s thesis about improving the manufacturing...
Leveraging Time Aggregated Data and Advanced Machine Learning Techniques to Improve Semiconductor Demand Forecasting at an Anonymized Semiconductor Company

Leveraging Time Aggregated Data and Advanced Machine Learning Techniques to Improve Semiconductor Demand Forecasting at an Anonymized Semiconductor Company

by VeraMackus | Sep 1, 2022

Leveraging Time Aggregated Data and Advanced Machine Learning Techniques to Improve Semiconductor Demand Forecasting at an Anonymized Semiconductor Company “Semiconductor shortage still a concern, says Bajaj”; “Chrysler Parent Stellantis Needs Chips. The Shortage Is...
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Atlas 4.402
P.O. Box 513
5600 MB Eindhoven

 

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