SYstem LEvel quality policy aNalyser and opTimizer
Project web site
January 2022 – October 2022
Reference in EnginSoft
Giovanni Paolo Borzi - Anteneh Yemaneh
How can product quality and productivity be maximized? Manufacturers with both well-established and novel processing technologies strive to ensure product quality and process stability. However, they also need to achieve their quality goals without sacrificing too much productivity namely the overall system production rate. For example, a manufacturer may find it impossible to implement a full inspection policy while meeting a given delivery deadline for a production lot. Therefore, the main objective of the SYLENT project is to evaluate and optimize the controllable parameters of production processes, product quality assurance and inspection policies by analyzing their impact on selected quality and productivity KPIs (e.g. the overall production plant OEE). In order to achieve this, the project will develop a Policy Manager tool to support the user (e.g. operation managers, production managers) in selecting suitable defect prevention/correction policies to apply to the single processes. During the project, the Policy Manager tool will be integrated into the Zero Defect Manufacturing Platform (ZDMP framework), and at the end of the project, both the tool and a use case will be accessible via the ZDMP marketplace.
Development of a novel “system-level quality and productivity optimizer tool” enabling the evaluation of the system level impacts of the defect avoidance policies that can be adopted within single processes. The tool will provide the users of the ZDMP platform with additional decision-making capabilities to allow them to choose the best defect prevention policies at a system level by avoiding local-optimal solutions while simultaneously optimizing the quality and productivity of the entire production system.
Developing and integrating a new tool to optimize the KPIs for production and quality into a digital Internet of Things (IOT) platform. Implementing the Digital Twin of a manufacturing system.
EnginSoft is the coordinator and sole partner in the project.
Partners: EnginSoft SpA
This project has received cascade funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 825631.
Programme: H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
Topic: DT-ICT-07-2018-2019 - Digital Manufacturing Platforms for Connected Smart Factories
Call identifier: H2020-DT-2018-1
Grant identifier: sub grant agreement (cascade funding call 2) under project ZDMP – Zero Defect Manufacturing Platform, grant No 825631