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Smart Manufacturing: Examples & Benefits

ProjectManager.com

The term smart manufacturing was first used in the mid-2000s as new technologies such as 3D printing or additive manufacturing and artificial intelligence became more prominent. Smart factories have a basic structure of data acquisition, data analysis and intelligent factory automation.

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9 Types of Artifacts in Project Management

Rebel’s Guide to PM

That includes: Comms management plan Release plan Scope management plan Iteration plan Test plan Quality plan Logistics plan. The third category of project artifact relates to the different types of plans produced. They are developed to help you work out how to run the project and can either be all in one document or separate documents.

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The Basics: Artificial Intelligence for Strategic PM’s

The Strategic Project Manager

This post makes an initial attempt to describe what Artificial Intelligence is, where it might apply in the world, and the impacts to organizational strategy and project management. It follows up this initial attempt with actual Artifical Intelligence responses from ChatGPT. So let’s go right to the source!

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Transforming Logistics with Smarter Business Tech Solutions

Productivity Land

Source Imagine e-commerce as a performing orchestra, logistics is its conductor. The logistics industry is the train that connects trade and development globally. To understand the size of the logistics industry, here’s this statistic – the global logistics market size accounted for USD 7.98 from 2023 to 2030.

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Project Artifacts and How to Use Them

Rebel’s Guide to PM

That includes: Comms management plan Release plan Requirements management plan Scope management plan Iteration plan Test plan Quality plan Logistics plan. Plans The third category of project artifact relates to the different types of plans produced.

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Typical Challenges in Manufacturing Projects and Ways to Address Them

Epicflow Blog

As a rule, manufacturing project s include complex processes, e.g., design, prototyping, production, quality control, logistics, etc. Monitor resource performance to timely detect improper workload: both overload and idleness reduce resource productivity. The integration of advanced technologies (AI, machine learning, automation, etc.)

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Top 10 AI Use Cases Transforming Project Management Across Various Industries

NimbleWork

Artificial Intelligence (AI) is becoming a pivotal force in project management, transforming how organizations handle tasks such as scheduling, resource management, and risk assessment. Also, the market for Artificial Intelligence (AI) is anticipated to experience substantial expansion, ascending from a value of USD 214.6