Remove Manufacturing Procurement Remove Modeling Remove Supply Chain Software
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IBP Scenario Modeling for Recovery, Restructuring and Resilience

AIMMS

Those that also leverage scenarios in IBP are even better prepared to deal with the supply chain shocks caused by COVID-19. Our first webinar with Oliver Wight discussed common people, process and technology pitfalls that hinder IBP initiatives. Let’s explore them briefly in this blog post.

Modeling 406
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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Materials shortages , demand fluctuations and plan t closures have led many organizations to revisit their supplier relationships, as well as distribution and production locations. Read on for common use cases. .

Modeling 361
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Strong Supply Chains Required For an Economic Rebound: Six Steps To Take

Supply Chain Shaman

My last post on the Supply Chain Shaman blog was forty-five days ago. My first focus was on China sourcing. Then it was the redefinition of the supply chain for the global shutdowns Sick with the virus; I spent my energies writing and moderating podcasts. Let’s learn and apply it to supply chain management.

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Robotic Process Automation in Supply Chain

Logistics Viewpoints

Robotic Process Automation (RPA) refers to process automation that combines process steps with decision models or business rules with little to no human oversight. It is typically applied to high-volume transactional processes with limited variation and clearly outlined business rules or decision models.

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Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Scenario analysis and optimization defined. Modeling your base case.

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Supply Chain Normalcy? Think Again.

Supply Chain Shaman

The global supply chain is built on three assumptions: rational government policy, availability of reasonably priced logistics, and low variability. In March 2023, the Global Supply Chain Pressure Index fell to the lowest level since November 2008. Over the past three years, supply chain cycles shifted.

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Tata Steel Makes Strides Towards an Autonomous Supply Chain Powered by Optimization Technology

AIMMS

Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. .