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What is Just in Time Manufacturing? Benefits & Disadvantages

Unleashed

Just-in-time (JIT) manufacturing is a production management approach that helps you lift efficiency and streamline your operational processes. What is just-in-time manufacturing? The just-in-time approach contrasts with just-in-case strategies, where producers hold sufficient inventories to absorb maximum market demand.

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Circular Economy and Information Sharing – The Role of Logistics

The Logistics & Supply Chain Management Society

Circular Economy and Information Sharing – The Role of Logistics Feature Article by Beverly Lege , Research Associate and PhD Candidate at Hamburg University of Technology, Institute of Business Logistics and General Management, Thomas Twenhöven , PhD Candidate at Kuehne Logistics University and Prof.

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What are the fundamental differences between just-in-time and just-in-case stock control?

EazyStock

For years companies have operated a just-in-time (JIT) supply chain model, only ordering stock items when necessary and carrying minimal inventory to reduce carrying costs. This has seen a switch to just-in-case (JIC) inventory management as companies raise their stock levels to avoid the risk of running out.

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Real-time Information Increasingly Important for Manufacturers

QAD

Digital transformation strategies are delivering more responsive solutions and real-time information to change the way organizations operate. This access “reduced the time information travels from Chicago to New Jersey by just four milliseconds, from 17 to 13 milliseconds.” . Enhance Product Connectivity.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Just-in-time in the Real World of Inventory Management

Unleashed

Just-in-time inventory (JIT) is the antithesis of just-in-case inventory and can be a valuable method of reducing waste and streamlining the supply chain. This means lead times can remain short and they have relinquished the responsibility and associated risks of carrying stock that does not have a purpose.

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Harness Information Overload

LevaData

Supply Risk Navigator goes above and beyond traditional risk assessments; LevaData’s solution takes it a step further, generating and presenting accurate, predictive insights alongside clear, detailed recommendations to ensure enterprises have all the information needed to mitigate missteps. But what do these insights and analytics comprise?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Building AI to Unlearn Bias in Recruiting

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.

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How ZoomInfo Enhances Your Database Management Strategy

It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!