Distributed monitoring of heterogeneous robotic cells. A proposal for the footwear industry 4.0

Abstract

In the footwear sector, automation is often performed by robotic arms due to the inherent adaptive requirements of some of its tasks. With the Industry 4.0 revolution, automation is even less human dependent than before. The fact that fewer people interact with machinery during the manufacturing process has led to a rising need for production monitoring. The interconnection of machines present in 4.0 environments makes monitoring possible at a low investment cost. In this paper, a common communication layer is proposed to enable homogeneous status data retrieval of robotic arms from several different robot manufacturers. This layer is then attached to a 3D simulator software as a client, responsible for the monitoring process. Experiments proved the feasibility of the proposed method in a test bench scenario applying the required constraints of time, cost, bandwidth and disk space.

Sustainable Decision Model for Circular Economy towards Net Zero Emissions under Industry 4.0

“…"Smart manufacturing" is the key to maintaining the competitiveness of Taiwan's footwear industry at this stage. The footwear industry has introduced vital technologies such as sensing, AIoT, and extensive data analysis to push shoe manufacturing from the original automation to digital transformation and intelligent manufacturing [24,25], in response to supply chain restructuring and small and diverse production needs. In Industry 4.0, machines can be equipped with various sensors to collect more accurate resource and job-driven data, thus improving the accuracy of ABC calculations and updating cost data in real-time [8].…”

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

“…Current challenges of shorter product life-cycles and highly customized products are addressed by Industry 4.0. The new manufacturing paradigm consists in modular factory structures composed of smart devices within a networked IoT environment (Román-Ibáñez et al, 2018).…”

“…A low-cost monitoring system based on robotic arm cells (Figure 7) focused on Industry 4.0 footwear factories is developed in (Román-Ibáñez et al, 2018). An enhanced 3D monitoring client, using the wired and/or wireless network was used for robotic simulation and cell design software for system cost minimization.…”

“…An enhanced 3D monitoring client, using the wired and/or wireless network was used for robotic simulation and cell design software for system cost minimization. Scalability, safety and security were key factors in the development of the monitoring system with existing encryption algorithms applied to data streams (Román-Ibáñez et al, 2018). Several works have been presented towards the automation of tasks in the apparel industry, e.g., sewing of fabrics, unfolding, etc.…”

A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery

“…As highlighted in (Cruz Salazar et al 2019), a further step-change for the CPPS consists of the integration of Multi-Agents Robotics Systems (MARS) and Industrial Internet of Things (IIoT) (Alexakos and Kalogeras 2015;Grieco et al 2014). In such a case, having many different robotic agents and humans sharing the same environment and cooperating requires developing a proper framework for the cooperation, supervision, and process monitoring (Khoshnevis and Bekey 1998;Asama 1994;Román-Ibáñez et al 2018;Beregi et al 2019). On the one hand, centralized methods are the most common, and they make a decision through all the information about the systems, being the drawback that fast communication methods and massive data elaboration are needed.…”