OptiProERP
NOVEMBER 21, 2022
2022 has proven to be both positive and disruptive for the manufacturing industry. Despite the pandemic, recession fears, supply challenges, a tight labor market, and economic instability, manufacturing companies continue to survive and evolve in the “new normal.”. helped transform many manufacturing businesses. Industry 4.0
Supply Chain Shaman
NOVEMBER 12, 2018
During the presentation, I spoke about the future of supply chain management, and the building of outside-in processes. Shifts in Traditional Supply Chain Processes in the Building of Capabilities for Supply Chain 2030. Retail forecasts are never a good source of data for the manufacturer. Demand-Driven Model.
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Supply Chain Shaman
AUGUST 7, 2019
In my work with manufacturing companies recently, I am thinking a lot about the need for diagnostic testing. Low volume inconsistent demand. Use this data to understand demand predictability. If demand error is extremely high, traditional demand management techniques are of limited value. New product launch.
Supply Chain Shaman
JULY 22, 2016
Learn to navigate the river of demand. Realize that, within the organization, the concept of demand as a flow is not well understood. There are many misconceptions that must be challenged: 1) Demand Management Is Forecasting. Client Example of Demand Management Across Time Horizons. It was an ugly color.
Supply Chain Shaman
FEBRUARY 25, 2016
Or is it the use of the Internet of Things to transform manufacturing or reduce issues with counterfeiting? Stuck with inputs from the traditional processes of collaborative forecasting, and traditional definitions of demand planning, demand error and bias are high. Orders do not represent market demand.
Supply Chain Shaman
JULY 8, 2019
As part of the 7% of manufacturers attempting to use cognitive computing for demand planning, he shared, “Lora, the magic is not in the new technology. In my research of over sixty organizations in consumer manufacturing, no company connects the VMI signal to the demand planning processes. Imagine Supply Chain 2030.
ThroughPut
JUNE 24, 2022
When faced with a pandemic like COVID-19, establishing a good understanding of the impact on supply chains and contingency plans can help manufacturing companies deal with uncertainties in the right way. AI-based automated tools can ensure smarter planning and efficient warehouse management, which can enhance worker and material safety.
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