The Benefits of CPIM Certifications

The constantly evolving world of Supply Chain management and operations requires a level of training and education that can keep up with everything as it evolves. That training and education can only be found through Certification in Production and Inventory Management (CPIM). The true benefits of C...

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The Current and Future State of Digital Supply Chain Transformation

As the coronavirus pandemic continues to transform the supply chain industry, there is still much to learn about what is possible and how one can adapt to changing times. Some companies may find themselves having to change their current business models or re-examine the quality of their products and...

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The Top 5 Supply Chain Resume Tips

If you are looking to start or broaden your career in supply chain management, then your job search begins at the resume stage. The following list covers the five main things you need to know about producing a successful supply chain resume that will catch an employer’s attention. Follow these...

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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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