白皮書

Meat Backroom Production White Paper

白皮書

Backroom Production Processes

Meat Backroom Production White Paper
Meat Backroom Production White Paper

As a leading global manufacturer, METTLER TOLEDO presents lean manufacturing principles that can be applied in the meat backroom to streamline processes and increase efficiency.

It is important to outfit the backroom with the right equipment to meet in-store demands efficiently. Depending on the space available and the volume of demand, the options range from simple hand wrapping stations to fully automated wrapping and labeling solutions. Automation helps to accelerate the production of packages as well as ensure a consistently high quality of wrapped package for the case. The application of methods and analytical expertise from high-volume production environments outside of the grocery industry reveals possibilities for increased efficiency.

This white paper presents a set of tried-and-proven concepts from operations management and applies them to the backroom. The concepts include approaches to process optimization, models for precise costing, and steps to improve the operational uptime. METTLER TOLEDO has conducted research into backroom processes. Here, the insights gained are combined with expertise and analytical tools from the manufacturing industry. As a global manufacturer of weighing, analytical and packaging technology supplying a broad spectrum of industry, from pharmaceutical labs to high volume manufacturing plants to grocers' backrooms, METTLER TOLEDO is perfectly placed to help by applying over 100 years of production excellence to the backroom environment. 

Grocery Meat Backroom Production Efficiency

Armed with this new knowledge, supermarket and backroom managers benefit from greater efficiency and more power by creating a lean environment in the backroom. In particular, they gain a basis for making purchasing decisions about business-critical backroom equipment such as wrapping machines. 

Rethink the backroom to consider what really matters most: total cost of ownership, backroom production levels, and operational uptime.