Optimization Modeling Related Topics 
Logistics Viewpoints
APRIL 10, 2025
Lean models alone are no longer sufficient. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. AI is helping companies better detect risk, model alternatives, and make faster decisions with more confidence. AI also helps with scenario modeling.
Logistics Viewpoints
OCTOBER 15, 2024
Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers. Amul’s supply chain model is a well-structured and decentralized cooperative framework that focuses on efficiency and farmer welfare.
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Logistics Viewpoints
APRIL 2, 2025
In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions. The prevailing strategy was to produce goods in low-cost countries and distribute them globally, optimizing for economies of scale.
ToolsGroup
APRIL 7, 2025
This uncertainty makes dynamic inventory replenishment optimization essential for business success. Effective inventory optimization directly impacts customer satisfaction, loyalty, operational costs, and waste reduction making it a critical business function in todays volatile market.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data.
AIMMS
NOVEMBER 9, 2020
Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app. The post IBP Scenario Modeling for Recovery, Restructuring and Resilience appeared first on AIMMS SC Blog.
ToolsGroup
FEBRUARY 12, 2025
Companies that rely solely on deterministic models are struggling to keep up with demand fluctuations. A recent study by McKinsey emphasizes that incorporating variability and uncertainty into forecasting models is crucial for navigating a rapidly evolving business landscape.
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Explore the most common use cases for network design and optimization software. Scenario analysis and optimization defined. Modeling your base case. Optimizing your supply chain based on costs and service levels. Optimizing your supply chain based on costs and service levels. Modeling carbon costs.
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Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end. Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology.
Advertiser: ZoomInfo
This customer success playbook outlines best in class data-driven strategies to help your team successfully map and optimize the customer journey, including how to: Build a 360-degree view of your customer and drive more expansion opportunities. Create highly targeted segments to drive more contextual and personalized engagements.
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For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. It’s recommended to test out which one is best for your team. Your future sales forecast? Sunny skies (and success) are just ahead!
Speaker: Aanand Pandey and Catalina Perez
Start optimizing your supply chain! Finding optimal locations for plants and other resources. Modeling carbon cost. Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Watch this webinar to hear about impactful use cases from 4 large customers, including: Opening/closing of DCs.
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Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. No onboarding time since the models are self-tuning: say goodbye to long & costly implementation times.
Speaker: Jennifer Wright and Nick Barron
Whether you’re refining your customer journey or exploring ways to personalize engagement, we’ll provide insights that help you create adaptable models that move as fast as the market does. Key Objectives: 🛠 Operational Efficiency: Discover how to optimize processes to better support customer experiences and drive growth.
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