Course Examples Optimization Modeling 
Logistics Viewpoints
JANUARY 1, 2024
Historically, omnichannel software solutions were not capable of optimization. A customer can of course buy goods in a store. For an online order that needs to be delivered within 24 hours, for example, the rule might state that the goods should be shipped to the consumer from the closest location. That is changing.
Logistics Bureau
OCTOBER 10, 2022
Before we look at the barriers to optimal inventory and the possible ways to eliminate or overcome them, let’s be clear on what inventory optimisation means—because misconceptions do abound. For example, you can optimise for cost, profit, or service, but not for all of them. Service as a Barrier to Optimal Inventory.
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AIMMS
SEPTEMBER 28, 2020
In the report, you will find capabilities across five categories: technologies, competencies, frameworks, operating model strategies, and organizational models. These capabilities include Machine Learning and Prescriptive Analytics , and organizational models like Agile Teams. What to prioritize. Network Design.
Logistics Viewpoints
NOVEMBER 4, 2024
Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In a broad sense, optimization refers to creating plans that help companies achieve service levels and other goals at the lowest cost. More recently, many other cases have emerged.
Logistics Viewpoints
FEBRUARY 28, 2022
In the course of updating our annual research on the supply chain planning market , I talked to executives across the industry. Lead times, for example, are a critical form of master data for planning purposes. In process industries the supply chain models used for optimization are much more complex than those used in other industries.
The Lean Thinker
MARCH 23, 2023
During the war there was huge growth and turnover within the industrial base as production shifted from civilian products (locomotives, for example) to wartime production (tanks). The challenge, of course, is that nobody owns this material. And, to be clear, this is actually a continuum rather than a bipolar model.
Logistics Viewpoints
APRIL 22, 2024
Causal AI utilizes sophisticated causal models to make decisions on multiple levels. A causal model graph represents a network of interconnected entities and relationships, enabling the system to understand how various factors influence each other to create an optimized outcome. Of course, getting a promise right is vital.
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