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What Is the Difference Between Optimization Modeling and Simulation?

River Logic

Optimization modeling software optimization modeling Simulation Supply Chain Simulation

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Create Continuous Supply Chain Visibility Through Modelling

CHAINalytics

Supply chain issues are in the mainstream, … The post Create Continuous Supply Chain Visibility Through Modelling appeared first on Chainalytics.

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Multi-echelon Inventory Optimization vs Inventory Optimization

ToolsGroup

Imagine what would happen if each station optimized its schedule and traffic independently: city-wide chaos would ensue. Now consider that by not optimizing your inventory from a global vantage point you may be creating, if not outright chaos, a much less efficient network than you could have.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Solving complex business problems requires optimization modeling techniques and data to compare scenarios and make the best decisions. With AIMMS you can rapidly build an optimization app on top of your data and deploy it to the end-user in just a few clicks.

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Supply Chain Modeling: Here’s What You Need To Know

River Logic

Supply Chain Supply Chain Optimization modeling software Supply Chain Network Design supply chain modeling optimization modeling

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Don’t Forecast Demand, Model Your Demand

ToolsGroup

Demand modeling is different from demand forecasting. Simply put, it doesn’t forecast demand, it models demand. Model demand from the bottom up. Demand modeling works in the opposite direction; from the bottom-up, as opposed to top-down.

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How to Use Reference Data to Jumpstart Building Data Models

Logility

A key factor in the success of Logility’s network optimization solution is the use of reference data. We believe users should be able to generate results immediately and be able to benchmark a model against their known costs. Network Optimization

Logility 130
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Buying Supply Chain Network Optimization Software: 8 Key Factors

River Logic

Supply Chain Optimization Network Design Supply Chain Network Design supply chain modeling Supply Chain Network Optimization Network Optimization supply chain analytics software

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Buying Supply Chain Network Optimization Software: 8 Key Factors

River Logic

Supply Chain Optimization Network Design Supply Chain Network Design supply chain modeling Supply Chain Network Optimization Network Optimization supply chain analytics software

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The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

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Better Ways to Address Trade-Offs with Supply Chain Optimization

Logistics Viewpoints

Supply chain optimization has also improved in significant ways that can address these trade-offs better than before. Analytical techniques like linear programming can create the mathematically “optimal” plan, but these methods must be implemented well to avoid creating other challenges.

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New Business Model to Master Shopfloor Complexity and Competitive Threats

Logistics Viewpoints

Another way to solve operational complexity is by adopting new business models. One of the most compelling new models is software built upon location awareness and in-motion resource management that intelligently automates manual decisions to decrease complexity.

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Inventory Management vs. Inventory Optimization: What’s Wrong with ABC Inventory Classification?

ToolsGroup

Let’s examine how inventory management has evolved into inventory optimization so that companies can minimize inventory investment while still hitting service level targets and maximing proftability. And, as we said, we don’t know whether or not we have an optimal distribution.

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National Puzzle Day – Solving Sudoku Puzzle Using Optimization in Arkieva

Arkieva

National Puzzle Day – Solving Sudoku Puzzle Using Optimization in Arkieva was first posted on January 29, 2021 at 3:27 pm. ©2017 Optimization optimization meaning optimization models optimization problems optimization puzzle optimization technique supply chain optimization definition

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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.

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Nespresso Optimizes Orders and Inventory with End-to-End Digital Supply Chain Planning

ToolsGroup

It’s no simple task providing customers access to the full range of capsules and coffee machines on all sales channels, across more than 70 boutiques in Italy, while optimizing inventory levels. Supply chain optimization allows us to guarantee product availability for our boutique shoppers.

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Fixed Logistics Model vs Flexible Logistics Model

Locus

With the supply chains of all businesses going through a transformational shift, it is important for them to make tough decisions concerning logistics models. After the pandemic hit, flexible logistics models helped businesses to easily penetrate into dense urban markets at economical costs.

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Dependable Financial Projections Hinge on Accurate Models of Supply Chain

Adexa

Dependable Financial Projections Hinge on Accurate Models of Supply Chain. Whether you are doing network design, inventory optimization, S&OP or even S&OE, Adexa solutions enable financial projections at greatest level of accuracy.

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5 Tips to Drive a Profitable Supply Chain Using Cost-to-Serve Models

River Logic

cost optimization cost-to-serve customer profitabilityThis is especially true with the need to extract data from multiple ERP, logistics, and CRM systems. Supply chain complexities exacerbate these calculations, as does the need for speed and flexibility.

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The Modern Customer Success Playbook

The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity. Find out how to transform customer success teams into revenue-drivers by downloading the playbook today!

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Troubling Trends in Supply Chain Design: An Uptick in Bad Models and Collapsing Teams

CHAINalytics

Do you pick your best data analyst to go and build a model? Blog Feature Supply Chain Consulting Supply Chain Design digital supply chain twin distribution network design distribution planning manufacturing planning Network Modeling network optimization Supply Chain Strategy

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So You Want to Make the Perfect Logistics Model

Logility

Why do we build logistics models? But I ask it because modeling often takes a detour into the land of debilitating detail. I am often asking clients whether they wish to: A) Model the precise general ledger costs for logistics? What is a Good Logistics Model?

Logility 130
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How to Select the Best Supply Chain Optimization Software

River Logic

Supply Chain Management Supply Chain Trade Promotion Optimization Supply Chain Optimization modeling software

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Optimizing S&OP for the High Tech Industry

DELMIA Quintiq

Companies are now turning to optimization and collaborative environments where they can start to evolve their S&OP processes from manual silos of planning, to value-based integrated processes that align the business around common objectives.

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Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

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Modeling brewing capacity to drive cost savings at HEINEKEN

AIMMS

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. The model was developed by an intern 10 years ago and it really squeezed the juice out of Excel, making use of all the possible features. The main reason was that we were trying to manage our investments as optimally as possible.

Capacity 252
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Multi-echelon inventory optimization vs inventory optimization

ToolsGroup

Editor’s Note: Last year ToolsGroup became Microsoft’s partner for Multi-echelon Inventory Optimization (MEIO) in Industrial accounts. Microsoft and I collaborated on a blog introducing the basic concept of MEIO, comparing it with Inventory Optimization. Imagine what would happen if each station optimized its schedule and traffic independently: city-wide chaos would ensue. The basic approach to inventory optimization. Inventory Optimization

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The Next Big Thing in Inventory Optimization and Why You Need It

River Logic

These figures show that efforts at inventory optimization aren't bearing fruit as retailers grapple with the conflicting demands of omni channel retailing and, more recently, the unpredictability posed by trade wars and other global disruptions. Optimization supply chain modeling optimization modeling Inventory Optimization

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Green Logistics and Transportation Optimization – A Win-Win Opportunity

CHAINalytics

Increasing supply chain efficiency benefits more than the bottom line Logistics … The post Green Logistics and Transportation Optimization – A Win-Win Opportunity appeared first on Chainalytics. Increasing efficiency and lowering costs is the mission of logistics.

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The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out the best one for your team so you’ll be able to enhance and optimize your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

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Total Cost of Ownership Procurement Model Failure – What’s Missing?

Supply Chain Game Changer

Many businesses use some form of Total Cost of Ownership model to support their Procurement and sourcing decisions. In fact these models are not just used casually, but they often are designed to inform and make optimal sourcing choices. What is a Total Cost of Ownership Model?

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Optimization and Effective Use of Space – COVID-19 Challenges

Arkieva

For most involved in Supply Chain Management, optimization is viewed as one of the three primary methods to create a supply or central plan that matches or balances assets with demand. Optimization and Effective Use of Space – COVID-19 Challenges was first posted on June 9, 2020 at 7:37 am. ©2017

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Supply Chain Simulation: What You Need to Know in 2020 & Beyond

River Logic

Optimization Supply Chain Supply Chain Optimization supply chain modeling Simulation Supply Chain Simulation

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Modeling Supply Chains with “Digital Twins”

ToolsGroup

There has been a lot of discussion around this topic lately and I wanted to offer a few insights, including around the importance of the data model in high-quality decision making using digital twins. These are virtual counterparts to the physical world that model a product’s uniqueness and its lifecycle. Instead, the key technology of the supply chain twin is a planning software platform that can model the entire supply chain starting from the demand signal through supply.

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Supply Chain Network Design Use Cases; From Lowering Cost to Going Green

Speaker: Aanand Pandey and Catalina Perez

Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Start optimizing your supply chain! Watch this webinar to hear about impactful use cases from 4 large customers.

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How Supply Chain Optimization Enhances Your Strategic Business Plan

ToolsGroup

Among other things, demand forecasting and inventory optimization can minimize inventory, decrease transportation costs and reduce overhead expenses. Most successful companies complete annual strategic business plans in order to identify and execute upon growth opportunities.