Web-based Process Planning for Machine Tool Maintenance and Services

Providing maintenance and services for high value complex products would extend manufacturers’ responsibilities and benefits to the products' whole usable life, and provide the opportunities to re-use or re-manufacture some failed parts. Sophisticated Computer Numerical Control (CNC) machine tools in modern manufacturing systems are special products in that they are also used to manufacture other products, and their operation performance directly affects the quality of the manufactured parts as well as the performance of the entire manufacturing system. To ensure CNC machine tools’ consistent performance, appropriate and efficient maintenance and services are essential and this is more challenging as technologies become more sophisticated and the environment is more dynamic. Previous research was mainly focused on maintenance strategy and maintenance scheduling. Very little effort was devoted to providing operational guidance for maintenance process execution, i.e., providing service suppliers with detailed information about resources needed for maintenance such as tooling, consumables, materials and spare parts, as well as service steps including disassembly and assembly of the serviced products. In this project, planning maintenance operation sequences, schedules and resource allocation are the three main tasks for generating final maintenance plans. This paper will present a Collaborative Maintenance Planning System (CoMPS) which will manage information and knowledge to support decision making in maintenance process planning

Identifying challenges in quantifying uncertainty: Case study in infrared thermography

Complex engineering systems present a wealth of uncertainties concerning aspects ranging from performance measurements to maintainability and through-life characteristics. A quantifiable understanding of these uncertainties is vital to system optimisation and plays a key role in decision-making processes for manufacturing organisations worldwide; impacting profit, product availability and manufacturing efficiency. The aim of this paper is to examine challenges and complications that arise when quantifying uncertainties in complex engineering systems that rely on expert opinion. A thermographic inspection system is utilised as a use case. Contractor-client and supervisor-maintainer relationships are examined. Key challenges highlighted involve accurate depiction of error margins and corresponding uncertainties of components where data is only heuristically obtainable, as well as the influence of environmental conditions and skill of the maintainer

Process and knowledge management in a collaborative maintenance planning system for high value machine tools

Product manufacturers are extending their responsibilities in the whole life cycle by providing services to their customers. In recent years, product service system has become an important research topic to address the special requirements in the new service driven business model. High value machine tools in modern manufacturing factories are special products: they are regarded as ‘products’ from maintenance point of view, and they also manufacture other products. In the new business model, the quality and behavior of a machine tool not only affect the quality of the parts it manufactures, but also affect the profits of the machine tool’s manufacturer. However, in the research area of product service systems and related computerized maintenance systems, there is a lack of investigation into the special nature, problems and requirements of high value machine tool maintenance, which are very important in modern digitized manufacturing systems. Therefore, this research investigated the various relationships between different stakeholders in the machine tools’ lifecycle, focusing on knowledge management, communication and the decision-making processes. This research also explored the potential application of advanced content management systems, which are widely implemented in the financial, business and government organizations, in the manufacturing engineering domain which has been dominated by traditional engineering information systems. A prototype collaborative maintenance planning system is proposed, developed and evaluated using an example machine tool, which indicated that significant improvement could be achieved and the content management technology has a number of advantages over the traditional engineering information systems, such as computer aided engineering, product data and lifecycle management, and enterprise resource planning systems, in managing machine tool maintenance and service information including dynamic and unstructured knowledge

A new knowledge sourcing framework for knowledge-based engineering: an aerospace industry case study

New trends in Knowledge-Based Engineering (KBE) highlight the need for decoupling the automation aspect from the knowledge management side of KBE. In this direction, some authors argue that KBE is capable of effectively capturing, retaining and reusing engineering knowledge. However, there are some limitations associated with some aspects of KBE that present a barrier to deliver the knowledge sourcing process requested by industry. To overcome some of these limitations this research proposes a new methodology for efficient knowledge capture and effective management of the complete knowledge life cycle. The methodology proposed in this research is validated through the development and implementation of a case study involving the optimisation of wing design concepts at an Aerospace manufacturer. The results obtained proved the extended KBE capability for fast and effective knowledge sourcing. This evidence was provided by the experts working in the development of the case study through the implementation of structured quantitative and qualitative analyses

Repairing the circular economy: Public perception and participant profile of the repair economy in Hull, UK

Repair is an essential aspect of circular economy (CE) strategies to extend the life of products and materials, and has further been suggested as a key sector to benefit from employment through CE transitions. At the same time, CE narratives around repair have been criticised as highly technocratic, neglecting the body of literature exploring repair as a relational act embedded in daily life. Hull, UK has been characterised as a structurally disadvantaged city, which might benefit from development opportunities offered through an expanded repair economy. However, a better understanding of the demographics of repair users is needed to promote its expansion. Therefore, this research aims to increase understanding of public perceptions, attitudes and behaviours relating to repair as both an option for consumers and as potential employment. The study combines literature in CE, human geography, and consumer behaviour to critically analyse a public survey (n = 740) conducted in partnership with Hull City Council. Results explore demographic associations with repair behaviour, identifying a profile of repair economy participants. Furthermore, an interdisciplinary discussion identifies a tension between repair as an act of necessity, which often carries a negative stigma, and that of choice for those privileged with skills and excess leisure time. Gender discrepancies between public perceptions, attitudes, and behaviours are identified, and policy recommendations for the development of an inclusive repair economy are made. While an opportunity for an expanded repair economy in the city is apparent, further research is needed to assess the quality of work in the sector

A Web-based Product Service System for aerospace maintenance, repair and overhaul services

Manufacturing enterprises around the world have made significant efforts to provide high value added services in addition to their traditional product development and manufacturing business. A product service system (PSS) is presented in this paper which aims to better integrate product development with maintenance and service operations. This project focuses on the maintenance, repair and overhaul (MRO) services in the aerospace industry. A MRO service model is proposed for the development of the proposed PSS. An ontology-based knowledge representation model is developed for the reuse of knowledge unambiguously in MRO services. An initial attempt has been made to demonstrate the role of PSS in the aerospace industry as a decision support tool for MRO services. Product lifecycle management (PLM) environment and Web-based technologies have been developed to enable the methodology to provide services and support in the aerospace manufacturing and flight operations business

Machine learning and mixed reality for smart aviation: applications and challenges

The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency

A new knowledge sourcing framework to support knowledge-based engineering development

New trends in Knowledge-Based Engineering (KBE) highlight the need for decoupling the automation aspect from the knowledge management side of KBE. In this direction, some authors argue that KBE is capable of effectively capturing, retaining and reusing engineering knowledge. However, there are some limitations associated with some aspects of KBE that present a barrier to deliver the knowledge sourcing process requested by the industry. To overcome some of these limitations this research proposes a new methodology for efficient knowledge capture and effective management of the complete knowledge life cycle. Current knowledge capture procedures represent one of the main constraints limiting the wide use of KBE in the industry. This is due to the extraction of knowledge from experts in high cost knowledge capture sessions. To reduce the amount of time required from experts to extract relevant knowledge, this research uses Artificial Intelligence (AI) techniques capable of generating new knowledge from company assets. Moreover the research reported here proposes the integration of AI methods and experts increasing as a result the accuracy of the predictions and the reliability of using advanced reasoning tools. The proposed knowledge sourcing framework integrates two features: (i) use of advanced data mining tools and expert knowledge to create new knowledge from raw data, (ii) adoption of a well-established and reliable methodology to systematically capture, transfer and reuse engineering knowledge. The methodology proposed in this research is validated through the development and implementation of two case studies aiming at the optimisation of wing design concepts. The results obtained in both use cases proved the extended KBE capability for fast and effective knowledge sourcing. This evidence was provided by the experts working in the development of each of the case studies through the implementation of structured quantitative and qualitative analyses