Data science can seem like a daunting addition to your supply chain process, but it can bring significant benefits. Here are 5 common sense ways data science can benefit the processed meat product supply chain:
What can data science help optimize in a commodity deconstruction business like meat or dairy? Data science can forecast the impact of commodity supply variability
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In this webcast Hamish Keston, and Director of Optimization, Europe, Robbie Turner, talk about the ins and outs of the diary business and data science. This episode: Sales Book Optionality for Dairy
varying BOMs and multiple alternative BOMs are important to commodity agricultural disassembly supply chains. Because they support recipes that vary over time, they are complex (and they also add complexity to your optimization program).
In a cooperative dairy business model, the various suppliers are also owners of the company. This enables smaller dairy producers to band together to have more leverage and reach for their products, as well as more control over both their processes and their products.
There is a concept that applying data science to your business will automate processes, consolidate information faster, make employees lives easier, and allow them to go home earlier. All of that is true! It does leave an important part out, however. What often doesn’t get mentioned is that data science comprehensively considers so many nuances of your business, all at once, that understanding its optimized scenarios will require significant hours of training, as well as a mindset change within your planning team.
data to work: it’s hard to know which to choose first: an ERP system or a planning system.
3 Ways to Improve Forecast Accuracy with Process Improvement
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