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Supply Chain Optimization Explained

ThroughPut

Powered by data analytics and advanced technologies, every stage of the supply chain can be critically analyzed, starting from procurement to distribution to identify and prioritize improvement opportunities. This opens up avenues to save procurement, transportation, inventory, and warehousing costs. What is Supply Chain Optimization?

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How Machine Learning Is Redefining Supply Chain Management

IQMS

Key factors influencing inventory levels, supplier quality, demand forecasting, procure-to-pay, order-to-cash, production planning, transportation management and more are becoming known for the first time. Source: Machine Learning – A Giant Leap for Supply Chain Forecasting, Material Handling and Logistics Conference (PDF, 28 pp.,

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COVID-19 in 2021: Supply Chain Organizations’ Biggest Concerns

DynaSys

For example, suppliers heavily invested in entertainment or travel-related service sectors may have issues, as may aerospace tier suppliers. Some examples may be rules restricting availability of transport stock and routes, laws limiting workforce liberties or effectiveness, short-term working capital guidelines, etc.

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Logistics Disruption and the Changing Role of People

Logistics Bureau

In logistics or the world of “trucks and sheds”, meaning shipping and warehousing, manual labour is a huge part of operations. Now, take people out of these logistics activities. The stage of transition to this futuristic mode of operation varies from one type of logistics activity to another. The first is network design.

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Thailand Courts Foreign Investment, While Leadership Questions Remain

Supply Chain Brain

Jatusripitak said the work will transform the EEC into “a smart logistics hub.” Planners have dubbed the project “Thailand 4.0,” involving the extension of broadband access to cover some 75,000 villages, as well as the encouragement of new technologies through generous grants, tax incentives and development aid.