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How do you answer thorny questions about demand, capacity, and inventory management in a way that yields smooth production scheduling and minimum of slowdowns? One potential answer is to implement order slotting.
Logistics 4.0, digital logistics, modern transport logistics: whatever you want to call it, the new paradigm emerging in the world of transporting goods from production plants to consumers is gaining steam rapidly.
In the past, logistics providers have been stuck making decisions about routing, hub placement, and network administration based on incomplete, past-oriented data. Strategic network planning turns that data into concrete predictions about the effects of any possible changes or adjustments.
Optimize for time, or do you opt for the shortest route in order to save on fuel costs? Should you utilize transfer points at which you consolidate or break up shipments, or go for a continuous, unbroken transport? How do you optimize tour planning from a supply chain planning perspective?
In the spirit of data-driven decision-making in the automotive supply chain, here are a few statistics that might be important for supply chain managers to know going forward.
As we enter the Industry 4.0 era and supply chain planning technology becomes more and more sophisticated, planners are increasingly being given the tools to tackle the traditional hurdles of route and tour planning in a smarter, more agile way.
Logistics 4.0 is to old-school transport management as navigating without a GPS is to driving with a smartphone: it boosts connectivity and eases pain points at every turn.
The first three industrial revolutions changed the nature of work and the daily lives of workers. Will Industry 4.0 do the same?
Let's say you're an OEM, with a sleek manufacturing space and a sophisticated, technologically cutting edge process for creating a particular automotive part. How can you build towards a production planning workflow that's equally sophisticated?
When it comes to inventory management, every decision you make has an effect on the rest of the process, just as each new factor adds complexity. Luckily, there are some tactics that manufacturers and others can employ to better manage their stock levels and warehouse or container usage.
How is container management like moving into a new home? They both get a lot harder with limited visibility.
These days, when most people think of automation, one of their first thoughts is of self-driving cars. What many people don’t realize, as they picture themselves magically napping away their morning commutes, is that when it comes to autonomous vehicles there are actually six levels of autonomy.
Machine learning, artificial intelligence, natural language processing. Together, these technologies and others have come to be known as cognitive analytics, and even in their developmental stages they’re already having a widespread impact on the way the automotive supply chain.
As we approach the era of Logistics 4.0, a number of factors will contribute to its fast-approaching tipping point, including smart factories and the global supply chain.
Imagine you own and operate a pin factory at the dawn of the Industrial Revolution. One day, you come in and announce to your workers that you’ll be implementing steam powered machinery into your production processes. How would your workers respond, and what can that tell us about Industry 4.0?
In recent years, real-time information has become a key value-added proposition for bolstering efficiency and decreasing waste in modern supply chains. Is this technology being utilized to its maximum effect, or are there still new use-cases for real-time information?
What, exactly, is it that makes Industry 4.0 and job shop scheduling a match made in heaven?
