Vasilios Zogopoulos

Integrated Production and Maintenance Scheduling Through Machine Monitoring and Augmented Reality: An Industry 4.0 Approach

Maintenance tasks are a frequent part of shop floor machines’ schedule, varying in complexity, and as a result in required time and effort, from simple cutting tool replacement to time consuming procedures. Nowadays, these procedures are usually called by the machine operator or shop floor technicians, based on their expertise or machine failures, commonly without flagging the shop floor scheduling. Newer approaches promote mobile devices and wearables as a mean of communication among the shop floor operators and other departments, to quickly notify for similar incidents. Shop floor scheduling is frequently highly influenced by maintenance tasks, thus the need to include them into the machine schedule has arisen. Moreover, production is highly disturbed by unexpected failures. As a result, the last few years through the industry 4.0 paradigm, production line machinery is more and more equipped with monitoring software, so as to flag the technicians before a maintenance task is required. Towards that end, an integrated system is developed, under the Industry 4.0 concept, consisted of a machine tool monitoring tool and an augmented reality mobile application, which are interfaced with a shop-floor scheduling tool. The mobile application allows the operator to monitor the status of the machine based on the data from the monitoring tool and decide on immediately calling AR remote maintenance or scheduling maintenance tasks for later. The application retrieves the machine schedule, providing the available windows for maintenance planning and also notifies the schedule for the added task. The application is tested on a CNC milling machine.

Modularity as a support for frugal product and supplier network co-definition under regional market constraints: a mirroring hypothesis application

Creating new products or adapting existing ones to fit with specific customer requirements from regional as well as emerging markets is a challenging issue for competitive companies that work to maintain acceptable market share rates. Besides the importance of providing original solutions tailored to the target market characteristics, companies should consider their production strategy as a key factor for reaching frugality objectives under regional constraints. The co-evolution of product and production network aims to provide a concurrent design and management of product architecture, local production systems, and OEM–suppliers relationships. This paper proposes a modular-based approach as an application of the mirroring hypothesis for supporting the co-definition of product structure and supplier network. Supplier selection and evaluation method for frugal innovation perspective is proposed as a key part of the proposed approach and applied in an industrial use case for validation.