D8.6 OPTIMAI commercialization and exploitation strategy

Deliverable D8.6 OPTIMAI commercialization and exploitation strategy 1 st version is the first version of the OPTIMAI Exploitation Plan. Exploitation aims at ensuring that OPTIMAI becomes sustainable well after the conclusion of the research project period so as to create impact. OPTIMAI intends to develop an industry environment that will optimize production, reducing production line scrap and production time, as well as improving the quality of the products through the use of a variety of technological solutions, such as Smart Instrumentation of sensors network at the shop floor, Metrology, Artificial Intelligence (AI), Digital Twins, Blockchain, and Decision Support via Augmented Reality (AR) interfaces. The innovative aspects: Decision Support Framework for Timely Notifications, Secure and adaptive multi-sensorial network and fog computing framework, Blockchain-enabled ecosystem for securing data exchange, Intelligent Marketplace for AI sharing and scrap re-use, Digital Twin for Simulation and Forecasting, Embedded Cybersecurity for IoT services, On-the-fly reconfiguration of production equipment allows businesses to reconsider quality management to eliminate faults, increase productivity, and reduce scrap. The OPTIMAI exploitation strategy has been drafted and it consists of three phases: Initial Phase, Mid Phase and Final Phase where different activities are carried out. The aim of the Initial phase (M1 to M12), reported in this deliverable, is to have an initial results' definition for OPTIMAI and the setup of the structures to be used during the project lifecycle. In this phase, also each partner's Individual Exploitation commitments and intentions are drafted, and a first analysis of the joint exploitation strategies is being presented. The next steps, leveraging on the outcomes of the preliminary market analysis, will be to update the Key Exploitable Results with a focus on their market value and business potential and to consolidate the IPR Assessment and set up a concrete Exploitation Plan. The result of the next period of activities will be reported in D8.7 OPTIMAI commercialization and exploitation strategy - 2nd version due at month 18 (June 2022

Development and Validation of a Measurement Instrument for Sustainability in Food Supply Chains

The purpose of this paper is to develop a measurement instrument for sustainable supply chain management (SSCM) critical factors, practices and performance and validate it in the food industry. A literature review was conducted in order to identify pertinent variables and propose relevant measuring items. An email survey was carried out in 423 Greek companies in the food and beverage sector. The questionnaire was sent by e-mail in the Google Forms format and it was requested to be answered by a representative of the company. The collected data was processed using exploratory factor analysis in order to extract the latent constructs of the SSCM critical factors, practices and performance measures. The validity of the proposed instrument was confirmed through confirmatory factor analysis. The extracted SSCM critical factors are “firm-level sustainability critical factors” and “supply chain sustainability critical factors”. The extracted SSCM practices are “supply chain collaboration” and “supply chain strategic orientation”. The extracted SSCM performance factors are “economic performance”, “social performance” and “environmental performance”. The three developed constructs constitute a measurement instrument that can be used both by practitioners who desire to implement SSCM and by researchers who can apply the proposed scales in other research projects or use them as assessment tools

Sharing Semantic Knowledge for Autonomous Robots: Cooperation for Social Robotic Systems

In social robotic systems, robots interact with humans to collaborate for different tasks. In this paper we consider industrial scenarios, where a shop floor can be reconfigured and specific tasks can be assigned to robots that operate as assistants to human operators. We propose to use a Knowledge Representation approach to describe the human-robot interaction. In particular, the conceptual framework based on the GeneralizedWorld Entities paradigm is adopted to capture both the physical entities of the system and events, situations, behaviours as well as the relationships among them. The paper applies the methodologies to some real case studies of the Kleeman manufacturer to automated bending machine procedures and intra-shop floor transportation with automated guided vehicles

D2.1 - OPTIMAI - User and ethics legal requirements

The purpose of the deliverable D2.1 'User and ethics and legal requirements I' is to gather and analyse the requirements concerning zero defect manufacturing, quality inspection, production re-configuration and other technology needs of the OPTIMAI pilot partners as well as the legal and ethical issues related to the development and implementation of the platform. The analysis of the initial gathered user and ethics and legal requirements kicks off the relevant development and integration activities in the OPTIMAI project. The requirements elicitation and analysis take into account the Description of Action (DoA), the requirements identified from the pilot partners (i.e. manufacturing companies) and the other OPTIMAI partners, based on their knowledge, expertise and more specifically, the needs in the particular domains that the project pursues to address. Additionally, ethics and legal requirements, as well as technological innovation potential requirements are identified and included in this document. The initial identification of requirements is based on questionnaires, online meetings and videos from the pilot sites, while the method used will be re-iterated through each of the project phases. The identified requirements are grouped into functional and non-functional requirements. Functional requirements describe what the system should do and are classified according to the components of the OPTIMAI architecture. Non-functional requirements are grouped into KPIs, ethics, legal and technology innovation potential requirements. In total 127 requirements are identified out of which 81 are prioritised as "Must" (have), 36 as "Should" have and 10 as "Could" have

D2.6 - OPTIMAI - OPTIMAI use cases definition

The purpose of the deliverable "D2.6 OPTIMAI use cases definition" is to define and describe the OPTIMAI industrial use-cases for implementing the project's developed solutions in the three pilots. Dedicated use-cases definition online meetings and workshops have been conducted in order to develop the pilot use-cases based on their industrial needs. A specific set of KPI's will be measured in the three pilot sites as well as their validation procedures are provided for each of the use-cases. In total, 24 use-cases have been identified from the three industrial pilots, covering all the three areas: quality inspection; production line set-up/calibration; and production planning. The identified use-cases have been linked with specific user requirements as identified in "D2.1 User and ethics and legal requirements I", which was submitted in June 202

D2.2 - OPTIMAI - User and ethics and legal requirements II

The purpose of the deliverable D2.2 'User and ethics and legal requirements II' is to identify and analyse the new requirements that have emerged during M7 and M14 and update the previously identified requirements concerning zero defect manufacturing, quality inspection, production re-configuration and other technology needs of the OPTIMAI pilot partners as well as the legal and ethical issues related to the development and implementation of the platform. The analysis of the initial gathered user and ethics and legal requirements is used as the basis of the initial developments and integration activities of the OPTIMAI project. The requirements elicitation and analysis take into account the Description of Action (DoA), the requirements identified and updated from the pilot partners (i.e. manufacturing companies) and the other OPTIMAI partners, based on their knowledge, expertise and more specifically, the needs in the particular domains that the project pursues to address. Additionally, a new set of ethics and legal requirements focusing on the pilot applications is presented. The technological innovation potential requirements identified in the first version of this deliverable, are linked to the stateof-the-art technologies and the identified assets per partner. The update and refinement of the requirements is based on online and shopfloor meetings, videos and photos from the pilot sites, while the method used will be re-iterated through each of the project phases. The identified requirements are grouped into functional and nonfunctional requirements. Functional requirements describe what the system should do and are classified according to the components of the OPTIMAI architecture. Non-functional requirements are grouped into KPIs, ethics, legal and technology innovation potential requirements. In total 192 requirements are identified out of which 34 are updated and 65 are new. 148 are prioritised as "Must" (have), 35 as "Should" (have) and 9 as "Could" (have)