| 1. |
- Hasan, Baha, 1977-
(author)
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An Ontological Approach to support Knowledge Sharing between Product Design and Assembly Process Planning (APP)
- 2017
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Doctoral thesis (other academic/artistic)abstract
- Modern manufacturing organizations have to cope with several critical issues arising from the need for mass customization such as short product life-cycles, an increasing number of product variants and frequently changing customer requirements. One of the main factors that could aid overcoming those challenges is the use of information and communication technology (ICT) applications over a collaborative manufacturing environment, in which all stakeholders share and exchange knowledge across different manufacturing domains and applications. However, the use of ICT applications over a collaborative manufacturing environment is limited at the domain level by semantic conflicts arising from the use of different ways to describe the same objects and facts arising from different conceptualizations. Similarly, ICT usage is limited on the application level by interoperability problems arising from diverse heterogeneity between different ICT applications and tools.This research presents a semantic approach to support knowledge sharing within the assembly domain. More specifically, this research is focusing on capturing and sharing assembly design knowledge and integrating the assembly design domain and the Assembly Process Planning (APP) domain. Assembly design and APP are very important engineering domains for successful manufacturing system design, which requires an efficient collaborative environment for best utilization of the assembly resources. However, though these domains represent different perspectives in understanding of the same concepts, both domains use different software applications, which might cause interoperability issues.In this thesis, a novel integration approach has been proposed; this approach is composed of two stages: the first stage includes modelling and recognition of assembly knowledge semantics from SolidWorks (SW) CAD software by using SolidWorks’ Application Programmable Interface (SW-API). The second stage includes sharing the recognized assembly knowledge semantics by using a knowledge-based system in the form of a three-layer ontology architecture which provides a common semantic base to support knowledge sharing across assembly design and APP both on the domain and the application level. Each ontology layer shares a set of concepts from the most generic level to the most specialized level. The foundation ontology layer represents the general key concepts in the assembly design and APP domains. More specialized assembly design concepts and APP concepts are represented both in the domain ontology layer, and the application ontology layer. In the latter, concepts related to SolidWorks CAD software and to assembly robotic devices are represented.
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| 2. |
- de Giorgio, Andrea, Dr Eng. 1987-
(author)
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Introducing a procedural knowledge model for enhancing industrial process adaptiveness
- 2021
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Doctoral thesis (other academic/artistic)abstract
- Industrial processes are mainly based on procedural knowledge that must be continually elicited from experienced operators and learned by novice operators. In the context of Industry 4.0, machines already play a key role in knowledge transfer; however, new models and methods based on the artificial intelligence advances of the past few years need to be developed and applied. The future of human-machine collaboration is not limited to physical applications, but it has the potential to harness both the strength of human skills, experience and the computational power provided by the surrounding machines for truly adaptive industrial processes. The winning recipe is a balance between letting humans exploit their inherent experience and letting machines integrate the missing skills to preserve production standards. This work introduces a procedural knowledge model to be used for the design of industrial and scientific adaptive processes and it paves the way to transforming human-machine collaboration into an efficient solution to make industrial and scientific processes resilient to a constantly changing world.
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| 3. |
- Rahatulain, Afifa, 1983-
(author)
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Sustainable evolution of SMEs in response to socio-technical emergence
- 2020
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Doctoral thesis (other academic/artistic)abstract
- Technological advancements such as digitalization, cloud computing, and cyber-physical systems are transforming the present-day manufacturing industry. However, striving solely on the technological shift alone is insufficient to attain a sustainable competitive advantage. Therefore, an organization has to be treated as a socio-technical system where technological development has to go hand in hand with constant evolution of organizational aspects such as human development, knowledge management, organizational capability, etc.A manufacturing organization can also be considered as a socio-technical system of systems (SoS). It is vulnerable to the stochastic and emergent nature of the external environment, such as varying market conditions, diverse customer demands, etc. To achieve a deterministic and effective output in response to emergence, it is necessary to have an utmost awareness of the system behaviour itself. This research proposes that understanding the organizational behaviour and the interfaces that exists within the system could help the organizations in responding effectively to emergence. This in turn helps in transformation from a response mechanism based on presumptions to a fact-based approach by considering both the environmental emergence and internal organizational knowledge. The main focus of this work is on organizational capability and knowledge management within manufacturing SMEs.The first major contribution of this work is the utilization of Viable Systems Model (VSM) for understanding the behaviour of a manufacturing organization from a holistic perspective and identification of the knowledge interfaces (KIs) within the system. The type of knowledge required at each interface is determined and a KI mapping approach has been proposed to facilitate organizations in performing system analysis. The results are analysed using the empirical data for product development process from an industrial case study.Identification of organizational challenges for SMEs going through strategic transformations and their impact on the knowledge interfaces is the second main contribution of this work. The VSM-based KI mapping approach is used in identifying the knowledge gaps through visualization of respective KIs.Lastly, the work addresses common pitfalls and obstacles faced by the current manufacturing companies in terms of organizational capability and provides some guidelines and improvement suggestions for achieving an effective organization.Improved organizational capabilities of SMEs also result in enhancing regional growth through retaining competence and provision of jobs. Therefore this work can also be considered as a step towards strengthening social sustainability.
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| 4. |
- Yalcinkaya, Erkan, 1981-
(author)
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Application of Blockchain Technology for ISA95-Compliant Traditional and Smart Manufacturing Systems
- 2021
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Doctoral thesis (other academic/artistic)abstract
- The ISA95 standard has been dominating the manufacturing industry for several years. A vast number of ISA95-compliant traditional and legacy manufacturing systems (ISA95-CTS) are scattered across many factories worldwide. The technological advancements imposed by Industry 4.0 (4IR) have had a disruptive effect on the legacy composition of the manufacturing industry with the inclusion of cutting-edge technologies such as cyber-physical systems, artificial intelligence, machine learning, smart manufacturing systems (SMMS), and the industrial internet of things. Thus, modern factories are composed of traditional and emerging manufacturing systems that are anticipated to collaborate to reach the same 4IR goals. The heterogeneous composition of ISA95-CTS and SMMS leads to several challenges impacting the manufacturing industry in terms of interoperability, data quality, cybersecurity, and scalability in general. The manufacturing industry has struggled to overcome these obstacles that inhibit the adoption of innovative 4IR concepts and solutions. The distinct characteristics of decentralized verifiability, transparency, end-to-end data integrity, high availability, and superior data protection features make blockchain technology (BCT) a unique technology that can be adapted to various industries, including the manufacturing industry, with a virtually infinite number of business scenarios. Given its value propositions, BCT can act as a catalyst to accelerate the 4IR digitalization journey by solving ever-growing industrial manufacturing problems. Several researchers have shown how BCT can be used by the manufacturing industry to overcome particular industrial challenges. However, this thesis, combined with its complementary publications, differentiates from other studies by systematically assessing the suitability of ISA95-CTS, and it proposes conceptual grounds for the adoption of BCT by the manufacturing industry. This thesis also presents a comprehensive blockchain reference system architecture description for ISA95-CTS and SMMS with 40 distinct design specifications in addition to the theoretical contributions. Given this conceptual framework, this thesis has also sought to validate and justify the applicability of the blockchain reference architecture. Thus, each design specification was individually examined, and a proof of concept (POC) implementation managed to realize 31 requirements out of 40. The remaining nine requirements were also meticulously iterated, and a detailed explanation for excluding them from the POC implementation is elaborated. Thereby, all dimensions of applicability of the blockchain reference architecture are entirely validated with empirical results.
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| 5. |
- Mahmood Reza, Khabbazi, 1972-, et al.
(author)
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Module-based Quality System Functionality Evaluation in Production Logistics
- 2016
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In: Journal of Industrial Engineering and Management. - : OmniaScience. - 2013-8423 .- 2013-0953. ; 9:2, s. 310-329
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Journal article (peer-reviewed)abstract
- Purpose: This paper addresses a comprehensive modeling and functionality evaluation of amodule-based quality system in production logistics at the highest domain abstract level ofbusiness processes.Design/methodology/approach: All domain quality business processes and quality datatransactions are modeled using BPMN and UML tools and standards at the business process anddata modeling. A modular web-based prototype is developed to evaluate the models addressingthe quality information system functionality requirements and modularity in production logisticsthrough data scenarios and data queries.Findings: Using the object-oriented technique in design at the highest domain level, theproposed models are subject further development in the lower levels for the implementing case.The models are specifically able to manipulate all quality operations including remedy and controlin a lot-based make-to-order production logistics system as an individual module.Practical implications: Due to the specification of system as domain design structure, allproposed BPMs, data models, and the actual database prototype are seen referential if not asolution as a practical “to-be” quality business process re-engineering template. Originality/value: this paper sets out to provide an explanatory approach using differentpractical technique at modeling steps as well as the prototype implementation.
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