2018 Inventory Metrics Procurement 
Supply Chain Shaman
DECEMBER 28, 2020
Only four percent of companies compared to their peer groups improved balance sheet performance of growth, operating margin, and inventory turns. When compared to pre-recession years, we ended the decade with twenty more days of inventory. Days of Inventory Comparison. Now, let’s take consumer products. What can we learn?
Supply Chain Shaman
OCTOBER 8, 2019
Granular data by volume is a must to be able to manage replenishment, network design, and inventory targets. A simplistic view is that supply chain excellence is the trade-off of cost, inventory and customer service. To maximize value—price to tangible book, functional metrics need to be reset to focus on reliability.
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Talking Logistics
JANUARY 8, 2018
The reality is that supply chain management is not just about managing orders and transportation and inventory — it’s about doing all those things while also navigating through the many risks that could disrupt your supply chain or bring it to a halt. Do we have the right Service Level Agreement metrics in place? At what cost?
Resilinc
FEBRUARY 22, 2021
A common challenge for procurement and supply chain professionals is obtaining support from C-level leaders to invest in a robust supply chain risk management (SCRM) program. But to make their strongest case, SCRM advocates need to focus on one key metric: return on investment. ROI analysis: core to a strong business case.
Enterra Insights
JULY 28, 2020
”[2] The explain, “Traditional supply chains, reliant on manual processes, simply cannot keep up with the pace of today’s market; the processes for balancing inventories and forecasting used ten years ago are quickly overwhelmed. ” When dealing with clients, we often find getting the right data can be difficult.
Supply Chain Game Changer
NOVEMBER 9, 2018
You know the people, the processes and the metrics. Most companies have a Procurement function, Distribution, Logistics, Planning, Inventory Management, Product Data Management, and Operations. In the area of Inventory Management they also did a lot of benchmarking and highlighted deficiencies in our processes.
IQMS
JULY 11, 2019
The ten ways machine learning is revolutionizing manufacturing in 2018 include the following: Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations are is achievable with machine learning. Due to machine learning, overall inventory reductions of 20 to 50% are possible.
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