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Case Study: Implementing an Industrial IoT solution for a Multihead Weighing Machine (MWM)

In this work we present a practical solution using IIoT (Industrial IoT) technologies that optimizes the performance of a multihead weighing machine (MWM), a fast, accurate and reliable scale, used for packing food and non-food products. Our approach for optimizing the performance targeted the calibration of the MWM hoppers. We implemented an algorithm that calculates the optimal weight of the hoppers and modifies it in accordance to an observed factory setting. We demonstrate the effectiveness of the proposed method with a virtual emulation of an MWM in a leading Israeli frozen vegetables producer. Using the emulation, we changed factory settings that decreased the overfill by nearly 300%.