Study on interoperation and its' implementation of MES to support virtual factory

© 2020 Published under licence by IOP Publishing Ltd. The data interoperation between VF (virtual factory) platform and MES (Manufacturing Execution System) plays an important role in intelligent factory construction. The study focuses on the integration strategy between the VF and the MES by incorporating VF manufacturing assets in two ways, i.e., vertical integration (used for production line performance evaluation) and the horizontal integration (cloud manufacturing based on manufacturing assets services discovery and their composition). The VF platform which integrates the manufacturing assets in two manners is designed as the bottom layer in the entire integration framework. It has been applied to build a four tiers integration model in an intelligent production system construction of a domestic ship manufacturer and verified its feasibility and availability

Dealing with data and software interoperability issues in digital factories

The digital factory paradigm comprises a multi-layered integration of the information related to various activities along the factory and product lifecycle manufacturing related resources. A central aspect of a digital factory is that of enabling the product lifecycle stakeholders to collaborate through the use of software solutions. The digital factory thus expands outside the actual company boundaries and offers the opportunity for the business and its suppliers to collaborate on business processes that affect the whole supply chain. This paper discusses an interoperability architecture for digital factories. To this end, it delves into the issue by analysing the main challenges that must be addressed to support an integrated and scalable factory architecture characterized by access to services, aggregation of data, and orchestration of production processes. Then, it revises the state of the art in the light of these requirements and proposes a general architectural framework conjugating the most interesting features of serviceoriented architectures and data sharing architectures. The study is exemplified through a case study

An ontology for global production network design and reconfiguration

Organisations constantly seek to improve and fully exploit global production networks. This can be to provide more competitive solutions to customer requests, to exploit potential new technologies or to consider new business models based on the servitisation of products. To support such decisions requires the interchange and evaluation of information from a wide range of different and varied sources. This paper puts forward a reference ontology aimed at supporting businesses who seek to design, configure and reconfigure global production networks. The aim of this is to support interoperability between information systems within multi-domain contexts

An ontology for global production network design and reconfiguration

Organisations constantly seek to improve and fully exploit global production networks. This can be to provide more competitive solutions to customer requests, to exploit potential new technologies or to consider new business models based on the servitisation of products. To support such decisions requires the interchange and evaluation of information from a wide range of different and varied sources. This paper puts forward a reference ontology aimed at supporting businesses who seek to design, configure and reconfigure global production networks. The aim of this is to support interoperability between information systems within multi-domain contexts

Ontology based semantic-predictive model for reconfigurable automation systems

Due to increasing product variety and complexity, capability to support reconfiguration is a key competitiveness indicator for current automation system within large enterprises. Reconfigurable manufacturing systems could efficiently reuse existing knowledge in order to decrease the required skills and design time to launch new products. However, most of the software tools developed to support design of reconfigurable manufacturing system lack integration of product, process and resource knowledge, and the design data is not transferred from domain-specific engineering tools to a collaborative and intelligent platform to capture and reuse design knowledge. The focus of this research study is to enable integrated automation systems design to support a knowledge reuse approach to predict process and resource changes when product requirements change. The proposed methodology is based on a robust semantic-predictive model supported by ontology representations and predictive algorithms for the integration of Product, Process, Resource and Requirement (PPRR) data, so that future automation system changes can be identified at early design stages

Сравнение типов архитектуры систем сервисов

Розглянуто сучасні архітектури систем сервісів SOA (service-oriented architecture – cервісно-орієнтована архітектура) й EDA (event-driven architecture – подійно-орієнтована архітектура), їх переваги і вади, можливість і доцільність побудови об’єднаної сервісно-орієнтованої архітектури EDSOA (event-driven service-oriented architecture – подійно-керована сервісно-оріентована архітектура). Показано, що події з’єднують сервіси за допомогою передачі стану бізнес-процесу від одного сервісу, який визначає і публікує події, до інших сервісів, які запускаються конкретними подіями. В свою чергу, обґрунтовано, що сервіси об’єднують події за допомогою передачі даних про перехід одного стану процесу в інший. Особливу увагу в роботі приділено питанням ефективної реалізації запропонованого гібридного рішення архітектури EDSOA до моделювання бізнес-процесів як сервісів.This paper studies modern architectures of services systems SOA (service-oriented architecture) and EDA (event-driven architecture), their advantages and drawbacks, capabilities, and feasibility of constructing the unified service-oriented architecture EDSOA (event-driven service-oriented architecture). It is shown that events connect services by transferring the state of a business process from one service, which define and publish events, to other services, which are started by actual events. In its turn, it is justified, that services unify events by transferring the data about moving one state of a process into another. In this work, a special attention is paid to questions related to an effective implementation of a proposed hybrid solution of architecture EDSOA and its application for modeling business processes as services.Рассмотрены современные архитектуры систем сервисов SOA (service-oriented architecture – сервисно-ориентированная архитектура) и EDA (event-driven architecture – событийно-ориентированая архитектура), их преимущества и недостатки, возможности и целесообразность построения объединенной сервисно-ориентированной архитектуры EDSOA (event-driven service-oriented architecture – событийно-управляемая сервисно-ориентированная архитектура). Показано, что события соединяют сервисы посредством передачи состояния бизнес-процесса от одного сервиса, который определяет и публикует события, к другим сервисам, которые запускаются конкретными событиями. В свою очередь, обосновано, что сервисы объединяют события посредством передачи данных о переходе одного состояния процесса в другой. Особое внимание в работе уделяется вопросам эффективной реализации предложенного гибридного решения архитектуры EDSOA и его применению для моделирования бизнес-процессов как сервисов

Integrating manufacturing knowledge with design process to improve quality in aerospace industry

There had been research efforts in the knowledge management and related disciplines devoted to integrating data and knowledge generated from manufacturing activities into the design process. Such efforts focused on approaches for enhancing engineering specifications and supplier related decision making in order to improve manufacturing quality through reducing defects. However, rarely did previous researchers address the ‘Integration’ aspect as part of a centrally-driven systematic workflow that enables collaborative knowledge capture between the internal design teams and manufacturing engineering teams firstly, and also with dispersed supplier teams. The industrial context of this research is discussed in this paper reflecting on the nature of the aerospace industry, which involves heavy reliance on information exchange to optimise designs on a day-to-day basis. This aspect had already been identified by many researchers to be under-addressed and a very significant challenge of collaborative design. The main aim of describing the context is to address the complexity involved in integrating manufacturing data generated internally first, and from suppliers second, within workflow context in order to to design a collaborative framework using knowledge management principles. The complexity also features aspects of product design and manufacturing specifically related to the the aerospace industry which tend to have exceptional functional specifications than other products from other industries. The implications of the proposed approach in the light of high value, low volume and high product lifecycle management challenges is also discussed. This paper also reports findings of an empirical investigation carried out with a leading UK based manufacturer of avionic systems with regards to manufacturing knowledge integration challenges related to improving the design of complex avionic systems, in order to enhance the design process for the business and improve the adaptation of a generic product design knowledge base. The purpose of it is to enable more rich data towards information driven design to improve manufacturing quality through defect reduction strategies and techniques

Ontology-based solutions for interoperability among product lifecycle management systems: A systematic literature review

During recent years, globalization has had an impact on the competitive capacity of industries, forcing them to integrate their productive processes with other, geographically distributed, facilities. This requires the information systems that support such processes to interoperate. Significant attention has been paid to the development of ontology-based solutions, which are meant to tackle issues from inconsistency to semantic interoperability and knowledge reusability. This paper looks into how the available technology, models and ontology-based solutions might interact within the manufacturing industry environment to achieve semantic interoperability among industrial information systems. Through a systematic literature review, this paper has aimed to identify the most relevant elements to consider in the development of an ontology-based solution and how these solutions are being deployed in industry. The research analyzed 54 studies in alignment with the specific requirements of our research questions. The most relevant results show that ontology-based solutions can be set up using OWL as the ontology language, Protégé as the ontology modeling tool, Jena as the application programming interface to interact with the built ontology, and different standards from the International Organization for Standardization Technical Committee 184, Subcommittee 4 or 5, to get the foundational concepts, axioms, and relationships to develop the knowledge base. We believe that the findings of this study make an important contribution to practitioners and researchers as they provide useful information about different projects and choices involved in undertaking projects in the field of industrial ontology application.Fil: Fraga, Alvaro Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Vegetti, Maria Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Leone, Horacio Pascual. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

A framework for developing engineering design ontologies within the aerospace industry

This paper presents a framework for developing engineering design ontologies within the aerospace industry. The aim of this approach is to strengthen the modularity and reuse of engineering design ontologies to support knowledge management initiatives within the aerospace industry. Successful development and effective utilisation of engineering ontologies strongly depends on the method/framework used to develop them. Ensuring modularity in ontology design is essential for engineering design activities due to the complexity of knowledge that is required to be brought together to support the product design decision-making process. The proposed approach adopts best practices from previous ontology development methods, but focuses on encouraging modular architectural ontology design. The framework is comprised of three phases namely: (1) Ontology design and development; (2) Ontology validation and (3) Implementation of ontology structure. A qualitative research methodology is employed which is composed of four phases. The first phase defines the capture of knowledge required for the framework development, followed by the ontology framework development, iterative refinement of engineering ontologies and ontology validation through case studies and experts’ opinion. The ontology-based framework is applied in the combustor and casing aerospace engineering domain. The modular ontologies developed as a result of applying the framework and are used in a case study to restructure and improve the accessibility of information on a product design information-sharing platform. Additionally, domain experts within the aerospace industry validated the strengths, benefits and limitations of the framework. Due to the modular nature of the developed ontologies, they were also employed to support other project initiatives within the case study company such as role-based computing (RBC), IT modernisation activity and knowledge management implementation across the sponsoring organisation. The major benefit of this approach is in the reduction of man-hours required for maintaining engineering design ontologies. Furthermore, this approach strengthens reuse of ontology knowledge and encourages modularity in the design and development of engineering ontologies

An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry

This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry. The aim of the KBE framework is to strengthen the structure, reuse and portability of knowledge consumed within KBE systems in view of supporting the cost-effective and long-term preservation of knowledge within such systems. The proposed KBE framework uses an ontology-based approach for semantic knowledge management and adopts a model-driven architecture style from the software engineering discipline. Its phases are mainly (1) Capture knowledge required for KBE system; (2) Ontology model construct of KBE system; (3) Platform-independent model (PIM) technology selection and implementation and (4) Integration of PIM KBE knowledge with computer-aided design system. A rigorous methodology is employed which is comprised of five qualitative phases namely, requirement analysis for the KBE framework, identifying software and ontological engineering elements, integration of both elements, proof of concept prototype demonstrator and finally experts validation. A case study investigating four primitive three-dimensional geometry shapes is used to quantify the applicability of the KBE framework in the aerospace industry. Additionally, experts within the aerospace and software engineering sector validated the strengths/benefits and limitations of the KBE framework. The major benefits of the developed approach are in the reduction of man-hours required for developing KBE systems within the aerospace industry and the maintainability and abstraction of the knowledge required for developing KBE systems. This approach strengthens knowledge reuse and eliminates platform-specific approaches to developing KBE systems ensuring the preservation of KBE knowledge for the long term