Mass customization model in food industry using industry 4.0 standard with fuzzy-based multi-criteria decision making methodology. (March 2018)

• Record Type: Journal Article
• Authors: Simon, Janos; Trojanova, Monika; Zbihlej, Jozef; Sarosi, Jozsef
• Is Part Of: Advances in mechanical engineering. Volume 10:Number 3(2018)
• Publication Date: 2018-03
• Subjects: Fuzzy analytic hierarchy process -- industry 4.0 -- Internet of Things -- mass customization -- LabVIEW; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814018766776
• Languages: English
• ISSNs: 1687-8132

Abstract

This article presents a new model of customized mass production management with Industry 4.0 standards within the food industry. The aim of this article is to develop a method for managing the production line where it is possible to produce an entire spectrum of products without reconfiguring the production line. An illustrative example is the production of fruit yoghurt of various types. The entire life cycle of the product is monitored and documentation of all relevant raw material data is carried out through the production process all the way to product packaging where each product is specifically marked with QR code. A special technique for deciding on optimum maintenance of the production line has been introduced and a multi-criteria decision model has been developed using the fuzzy analytic hierarchy process method where it is possible to achieve a high degree of minimization of maintenance costs. In this work, a fuzzy-based multi-criteria decision making methodology is developed for conceptual design evaluation in the cost reduction in maintenance of mass customization process. For the purposes of monitoring the production process itself, a LabVIEW application was created in the form of a SCADA system.