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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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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

I find that most companies’ understanding of supply chain planning is immature, and that next week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. Buying supply chain planning software is hard.

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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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Optimizing Supply Chain Transparency with Digital Product Passports

Logistics Viewpoints

These passports document all aspects of the life cycle – from the sourcing of raw materials to final disposal or recycling. For businesses, DPPs are becoming essential to comply with best practice guidance as well as coming statutory regulations that demand transparency in supply chains.

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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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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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The (misplaced) need for speed. Why faster supply chain planning will not get you to your destination.

Logistics Viewpoints

Over the last two decades, there has been a significant focus on increasing the speed of supply chain planning solutions. Technology advancements in hardware, cloud, and in-memory computing fueled this increase, followed by the boost from automation, machine learning, and AI.