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Is It Time to Move Beyond the Traditional Approach to IBP?

Logistics Viewpoints

Limitations in modeling the real world Over the years products, consumers and markets have grown complex and this trend was accelerated by COVID-19 in terms how and where customers want to interact with brands and products.

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Managing Supply Chain Disruptions in the Middle East

Locus

With heavy volumes of goods and sensitive information to be handled, it is necessary for the supply chain industry to strengthen its cyber security systems. Supply chain risk management maturity levels define how well a company has developed the risk management processes in comparison to industry benchmarks. Cyber attacks.

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Learning to live in a logistician’s world – strategic logistics and the future of military resilience

Logistics in War

Optimism may have faltered in early 2022, when the Russian invasion of Ukraine exacerbated impacted the worlds logistics struggles while revealing the state of the defence industrial and technology base as being unprepared for anything other than small-scale operations and ‘business as usual’.

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State of Logistics Report Released: 3PLs Continue to Foster Resilience and Drive Investments in Supply Chain

Penske Move Ahead

Transportation costs—driven by increases in all modes and nodes—reached $1.39 Major ocean liners saw combined global operating profits of $215 billion in 2022, but the trend has lost steam, and 2023 profits are projected at $43 billion, an 80% year-over-year decrease. trillion in 2022, representing 9.1% of the national GDP.

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Do You Have a Proactive Supply Chain Design or a Reactive One?

Talking Logistics

Every supply chain has a central purpose, regardless of size or industry: getting materials from their point of origin to the place they’re needed as quickly and inexpensively as possible. Factors like global trade and a customization trend in manufacturing have altered the “straight shot” supply chain forever.

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Does Artificial Intelligence Enabled Demand Forecasting Improve Supply Chain Efficiency?

247 Customs Broker

The company currently uses two traditional time-series forecasting methods, Holt-Winter’s and Damped trend , to generate monthly product demand forecasts. The analysis above also highlights the reasons that the company is especially keen to improve its demand forecasting performance in its retail market segment.

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Programming Languages Applied to Logistics

Logistics at MPEPS at UPV

In this post, a tour of the most popular programming languages in the sector will be made, as well as the databases from which the information can be retrieved for analysis. The scalability of Non-Relational Databases allows to distribute data into multiple nodes or locations, so it is common to apply them together with Big Data solutions.