Remove Manufacturing Procurement Remove Modeling Remove Supply Chain Software
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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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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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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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Ways Food and Beverage can Build Resilience with Supply Chain Optimization Software

Logility

From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning.

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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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Resilience by Design: The Power of Simulation in Supply Chain Strategy

Logistics Viewpoints

Supply chain network design (SCND) is a powerful tool for improving business operations. Optimization and simulation are the two main branches of SCND. Optimization accounts for over 90% of all work that is being done by SCND teams. It can be used to solve a wide variety of supply chain problems.

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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.