In this blog, created by a senior supply chain engineer, you can find case studies of data analytics used for Supply Chain continuous improvement, cost reductions and sustainability and tasks automation.
Use Python Pillow to automate the creation of hundred warehouse labels for the signage of picking locations
Boost your Productivity with an Automated Tool for the Creation of Supply Chain Operational PowerPoint Reports with Python.
My experience using Python to automate the process of flash card creation to support my long journey of learning mandarin as a native French speaker.
Implement the Wagner-Whitin algorithm to minimize the total costs of production given a set of constraints.
Automate the distribution of supply chain operational reports with visuals in HTML emails using python.
Use data analytics to improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels
The logistics industry has been for too long defensive or reactive when it comes to sustainability. It was seen as a major barrier to cost reduction initiatives by operations managers that are facing profitability issues. After six years of conducting reengineering and optimization projects, I can see many analogies and
Automate excel report creation with python by writing explicit excel formulas that any Excel user can read using an alternative method with the python library xlswriter.
Understand the sources of lead times variability and its impact on the robustness of your inventory management strategies. Article originally published on Medium. Objective Simulate the impacts of process variability on the performance of an international logistics network. Inventory Management For a retail group, inventory managers build replenishment policies to