A manufacturer’s supply chain consists of continuous flows and waves and there are some deeply embedded challenges blocking even some of the most innovative manufacturers from success.
An explosion in applications, siloed systems and a lack of standards continuously delay many manufacturers from achieving their goals - and constrict their profit margins. Meanwhile, competitors take the lead.
Luckily, there are some best practices that can unblock these challenges and help you to create an optimized value chain; they are driven by process mining, actionable analytics and powerful visualizations.
Here is the first of three best practice guidelines, from soup to nuts, along with some actual use cases to guide you:
- Understand and monitor the entirety of the flows of your supply and value chain processes.
With ARIS Process Mining, which immediately and tangibly maximizes assets, you can:
- Automatically discover end-to-end processes and compare them with designed to-be processes for greater transparency and in-depth analysis
- Look for patterns, anomalies and opportunities for process optimization
- Benchmark process KPIs of as-is and to-be processes to identify best practices
- Optimize team and collaboration structures via interaction analyses
- Easily analyze variations in standard processes
Use Case: A worldwide beverage company was frustrated by process inefficiencies caused by having more than 50 ERP systems. It lacked visibility, which caused delays and execution levels were hampered. By using an end-to-end supply-chain analysis and shared-services evaluation the company was able to compare procurement, plant maintenance, supply planning, sales unit and order-to-cash performance. In turn, it could build new solutions, eliminate faults and implement scalable shared services.
The company’s CEO said: “We’re minimizing exceptions and disruptions with process standardization, leading to wholesale productivity changes.”
I think you will agree that these global efficiencies constitute a win/win scenario. In our next blog, we will discuss best practices #2: Smart, highly integrated and continuous improvements, and #3: Full lifecycle process management.