Weather Affecting Supply Chains - What You Need To Know

Supply chain managers must closely monitor weather forecasting through weather services as part of proper supply chain risk management. Whether a supply chain is shipping within the United States or beyond, knowing the climate and weather patterns of any location that a supply chain interacts with i...

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Overcoming Coronavirus Effects on Supply Chain

Coronavirus is on everyone's radar and it's a huge problem for everyone. Supply chain managers and production supervisors understand what the impact is and will be on their ability to produce anything. With so many parts and sub-assemblies coming out of China and India, the interruption to the suppl...

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Machine Learning For Your Supply Chain

Machine Learning is seen by many as a subset of Artificial Intelligence (AI). Machine Learning involves a computer using special algorithms to identify patterns inactivity. By identifying those patterns, the machine “learns" how to run itself without human interaction. Less precise than an Art...

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How To Start a Career in Logistics

What To Know About Logistics Whether you’re interested in becoming a supply chain manager, project manager, or logistics manager, knowing how to start a career in logistics in a supply chain starts with research. Logistics plays a key role in the economy. By the most simple definition, the lo...

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Answering the Question ‘What Does a Supply Chain Manager Do?

On average, supply chain managers work more than 40 hours per week. However, many consider the longer work week well worth it for the salary. According to Glassdoor.com, supply chain managers in Houston can expect to earn anywhere from $67.6k - 119k per year. Salary.com places Houston supply chain...

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8 Reasons Why Forecasting is Important in Supply Chain Management

What is Forecasting in Supply Chain Management? In supply chain management, forecasting is the act of predicting demand, supply, and pricing within an industry. Forecasting involves investigating the competition, collecting supplier data, and analyzing past patterns in order to predict the future...

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