Design choices for next-generation IIoT-connected MES/MOM: An empirical study on smart factories. (February 2022)

• Record Type: Journal Article
• Authors: Mantravadi, Soujanya; Møller, Charles; LI, Chen; Schnyder, Reto
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 73(2022)
• Publication Date: 2022-02
• Subjects: Industry 4.0 -- Industrial IoT -- Information systems -- Interoperability -- ISA 95 -- Manufacturing execution systems -- Information technology -- Enterprise resource planning (ERP) -- System architecture -- Data models -- Systems analysis and design; AAU Aalborg University -- AI Artificial intelligence -- API Application programming interface -- BOM Bill of materials -- EIS Enterprise information system -- ERP Enterprise resource planning -- IIoT Industrial Internet of Things -- ISA International Society of Automation -- ISA 95 An international standard -- IT Information technology -- IoT Internet of Things -- LTE Long-Term Evolution -- MADE Manufacturing Academy of Denmark -- MAS Multi-agent systems -- MDD Model-Driven Development -- MES Manufacturing execution system -- MOM Manufacturing operations management -- MQTT Message Queuing Telemetry Transport (a communication protocol) -- OPC UA OPC Unified Architecture (a communication protocol) -- OT Operational technology -- PCB Printed circuit board -- PLC Programmable logic controller -- QA Quality assurance -- QFD Quality function deployment -- RAMI 4.0 Reference Architecture Model Industrie 4.0 -- RFID Radio-frequency identification -- TLS Transport Layer Security -- UML Unified Modeling Language -- XML Extensible Markup Language; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2021.102225
• Languages: English
• ISSNs: 0736-5845

Abstract

Highlights: We design and implement a data model for IIoT-connected MES/MOM based on ISA 95. We use three industrial demonstrators and a QFD tool to deduce design requirements. We propose a system architecture for a smart factory with MES/MOM as a core. Findings support implementing interoperable IT systems for reconfigurable manufacturing systems. Abstract: The role of enterprise information systems is becoming increasingly crucial for improving customer responsiveness in the manufacturing industry. However, manufacturers engaged in mass customization are currently facing challenges related to implementing Industrial Internet of Things (IIoT) concepts of Industry 4.0 in order to increase responsiveness. In this article, we apply the findings from a two-year design science study to establish the role of manufacturing execution systems/manufacturing operations management (MES/MOM) in an IIoT-enabled brownfield manufacturing enterprise. We also present design recommendations for developing next-generation MES/MOM as a strong core to make factories smart and responsive. First, we analyze the architectural design challenges of MES/MOM in IIoT through a selective literature review. We then present an exploratory case study in which we implement our homegrown MES/MOM data model design based on ISA 95 in Aalborg University's Smart Production Lab, which is a reconfigurable cyber-physical production system. This was achieved through the use of a custom module for the open-source Odoo ERP platform (mainly version 14). Finally, we enrich our case study with three industrial design demonstrators and combine the findings with a quality function deployment (QFD) method to determine design requirements for next-generation IIoT-connected MES/MOM. The results from our QFD analysis indicate that interoperability is the most important characteristic when designing a responsive smart factory, with the highest relative importance of 31% of the eight characteristics we studied.