Robots as a Service: A low-risk path to warehouse automation?

Robots as a Service: A low-risk path to warehouse automation?

While warehouse managers and supply chain leaders may be eager to acquire robots and automated technologies, the large capital investments and expertise required can often be a barrier to adoption. Following the trends of the software as a service (SaaS) industry, robotics companies are now offering robotics as a...

INDUSTRY NEWS

3 Steps to New Employee Success
Multibriefs

The honeymoon period for new employees provides a prime time to set the stage for unlimited success. While some employers unfortunately also call this the introductory period and try to use it as an evaluation window within which to weed out new hires, we should look at it as a litmus test for our own success and a chance to invest in the success of an employee. Employees come in ready to make an impact, optimistic about the opportunity and eager to learn. Here are three steps to take to fan that...

Know Your Supply Chain Risks
Supply Chain Management Review

Any single risk event can wreak havoc on a company’s operations, and a combination of multiple issues can bring an organization to its knees. The number of potential hazards is growing every year: According to Resilinc’s Annual EventWatch Report, global supply chain risk events increased 36% in 2018. The company issued 2,696 event notices—an average of about seven per day.

Using Machine Learning to Improve Ergonomics in Warehouse Jobs
Material Handling & Logistics

Machine learning is everywhere. And in the care of those working in warehouses, that’s a good thing. Researchers at the University of Washington have used machine learning to develop a new system that can monitor factory and warehouse workers and tell them how risky their behaviors are in real time.

ADDITIONAL UPDATES

The Importance of Vetting Your Fulfillment Provider
Forbes

If you run an e-commerce company, customer attitudes aren’t the only reason to make sure the workers who pack and ship your products are treated well. Low wages and a stressful work environment contribute to high turnover rates and low morale at some fulfillment centers. This can translate to fulfillment errors and customer service headaches.

How Can Machine Learning Enhance Supply Chain Management Analytics?
Supply & Demand Chain Executive

Supply chain analytics refers to balancing supply and demand along with corporate strategy in order to boost sustainability, profitability, and reduce inventory cost. To achieve this balance, supply chain planners access historical and real time data, which is categorized into outliers, trends, and exceptions. Supply chain analytics provides opportunities to accelerate growth by enhancing strategic decision making, optimizing ROI, and leveraging procured insights.

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