Implementation of Machine Connectivity in Low-Volume High Variety Manufacturing Line

Abstract

This thesis provides a comprehensive analysis and implementation plan for enhancing machine connectivity within a manufacturing facility at SLB. The study investigates the existing limitations of the facility's connectivity infrastructure and proposes an advanced connectivity software suite as a solution, presenting a compelling business case for its implementation. The software’s scope involved DNC (direct numerical control), allowing for line-by-line feeding of CNC code to machine controllers, as well as machine data collection for real-time shop floor monitoring. The research emphasizes the development and implementation of an advanced network infrastructure designed to improve efficiency, security, and data handling capabilities. There is discussion regarding cybersecurity practices, specifically those related to industrial control systems that leverage CNC machining processes. The software implementation process is detailed, highlighting the necessary steps and information required for successful integration. These include: 1) securing connection to critical CNC machine controllers, 2) acquisition of hardware including local server and network switch, 3) server bring-up through remote imaging and installation of standard monitoring tools and 4) implementation of software on edge devices for CNC file transfer and machining data collection. Additionally, the thesis discusses the limitations encountered during implementation and outlines future steps to address these challenges.