DELMIA Quintiq
MAY 11, 2021
However if your company needs to reduce manufacturing lead times, streamline inventories, boost efficiency, make the right promises to your customers, and all of this at the same time, you need to challenge this status quo. I want to be Lean – Lean manufacturing is not about software solutions”.
Supply Chain Matters
DECEMBER 13, 2023
Background Within our research arm’s previously published industry and global supply chains predictions advisory published at the start of this year, we predicted that manufacturers would up their efforts this year in restoring more direct control and added resiliency in their direct materials component and outsourced manufacturing strategies.
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Supply Chain Shaman
MARCH 16, 2021
In our pandemic research, we interviewed thirty manufacturers. To gain insights, we interviewed Alexandros Skandalakis, Director of Manufacturing Capacity, reporting to operations/manufacturing globally within Philip Morris. We wanted to find a better way to design our network and optimize future manufacturing outcomes.
Logility
MAY 25, 2022
Manufacturing capacity is severely diminished. Now more than ever, the conventional silos of planning, sourcing, and procurement teams must be connected into one cohesive network. For example, an operations planner can dig into internal capacity data stored on the cloud ? Let’s face it ? What Needs to Change?
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Dealing with multiple capacity constraints. Diversifying sourcing and manufacturing. Modeling your base case. Optimizing your supply chain based on costs and service levels. Modeling carbon costs. Network design for risk and resilience. Evaluating M&A and investment opportunities.
ivalua
NOVEMBER 8, 2022
US Government Passes the CHIPS Act to Increase Semiconductor Manufacturing and Research. The CHIPS Act was created in response to pandemic-induced shortages of semiconductors and other critical manufacturing supplies, causing widespread disruption to supply chains across the country. . Part A: Manufacturing in the U.S.
Logistics Viewpoints
FEBRUARY 20, 2024
To demonstrate that classic (single time series demand input) optimization and stochastic (multiple time series demand input) optimization can yield substantially different results, we will analyze a network of a company A that has four manufacturing plants that need to service demand in every mainland US state.
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