| 1. |
- Chatti, Sami, et al.
(författare)
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New-transnational curricula for BSc/MSc programs in production engineering
- 2005
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Ingår i: Journal of manufacturing systems. - 0278-6125 .- 1878-6642. ; 24:3, s. 145-152
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Tidskriftsartikel (refereegranskat)abstract
- The paper describes the curricula of two new international programs in production engineering-one a tri-national master of science in "industrial design and manufacturing" (IDM) program and the other an international bachelor of science program. The IDM master's program has been developed at the University of Dortmund in cooperation with the University of Twente in the Netherlands. Since 2004, the third partner in the IDM program is the University of Strathclyde in the UK. The IDM program provides an integrated, holistic, and internationally oriented graduate education in mechanical engineering that keeps the balance between theory and practice. For the development of the bachelor's program, the pilot project EPRODE (European Production Engineer) was initiated in 2003. It has been granted by the European Union (EU) program Leonardo da Vinci and aims at specifying a standardized European curriculum. Partners of EPRODE are institutes from universities and the industry sector in Sweden, Germany, Poland, and Spain.
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| 2. |
- Wang, Lihui, et al.
(författare)
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Architecture Design for Distributed Process Planning
- 2003
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Ingår i: Journal of manufacturing systems. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. - 0278-6125 .- 1878-6642. ; 22:2, s. 99-115
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Tidskriftsartikel (refereegranskat)abstract
- Today's machining shop floors, characterized by a large variety of products in small batch sizes, require dynamic process planning capabilities that are responsive and adaptive to the rapid changes of production capacity and functionality. To meet the requirement, this research proposes a new methodology for dynamic and distributed process planning. The primary focus of this paper is on the architecture of a new approach using function blocks. The secondary focus is given to the other supporting technologies-machining features and agents. Different from conventional methods, this approach uses a two-layer structure-supervisory planning and operation planning. It is expected that the new architecture can improve the system performance in a dynamic environment.
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| 3. |
- Adamson, Göran, 1958-, et al.
(författare)
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Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems
- 2017
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Ingår i: Journal of manufacturing systems. - : Elsevier. - 0278-6125 .- 1878-6642. ; 43, s. 305-315
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Tidskriftsartikel (refereegranskat)abstract
- Modern distributed manufacturing within Industry 4.0, supported by Cyber Physical Systems (CPSs), offers many promising capabilities regarding effective and flexible manufacturing, but there remain many challenges which may hinder its exploitation fully. One major issue is how to automatically control manufacturing equipment, e.g. industrial robots and CNC-machines, in an adaptive and effective manner. For collaborative sharing and use of distributed and networked manufacturing resources, a coherent, standardised approach for systemised planning and control at different manufacturing system levels and locations is a paramount prerequisite.In this paper, the concept of feature-based manufacturing for adaptive equipment control and resource-task matching in distributed and collaborative CPS manufacturing environments is presented. The concept has a product perspective and builds on the combination of product manufacturing features and event-driven Function Blocks (FB) of the IEC 61499 standard. Distributed control is realised through the use of networked and smart FB decision modules, enabling the performance of collaborative run-time manufacturing activities according to actual manufacturing conditions. A feature-based information framework supporting the matching of manufacturing resources and tasks, as well as the feature-FB control concept, and a demonstration with a cyber-physical robot application, are presented.
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| 4. |
- Adane, Tigist Fetene, et al.
(författare)
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Application of system dynamics for analysis of performance of manufacturing systems
- 2019
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 53, s. 212-233
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Forskningsöversikt (refereegranskat)abstract
- Machining of parts by using dedicated production systems has been, and continues to be, a viable manufacturing method. There are situations, however, where this type of system is not feasible due to changes in product type, customer demand, work-piece material, or design specification. From a competitive manufacturing environment, production system selection is a crucial issue for all component manufacturing companies. Improper selections could negatively affect the overall performance of a manufacturing system, for instance the productivity, as well as the cost and quality of manufactured components. In this paper, the application of system dynamics modelling and simulation of a complex manufacturing process is presented as a potential tool to investigate and analyse the performance of manufacturing system in response to disturbances in the system's inputs (e.g., volume of products). In order to investigate the model soundness, a case study applied to the manufacturing of an engine block will be examined. The model presented here has been developed based on current engine block production for the vehicle manufacturing industry. Such a model can assist manufacturing system selection-centered round the capacity to control machining system parameters -as a testable way to choose a machining strategy from pre-selected performance criteria. More specifically, the benefit of this research lies in the fact that it will enable companies to implement improved potential manufacturing system optimization that responds during unexpected demand fluctuations. In addition, it will help in understanding the complex interaction between the process and operational parameters of a manufacturing system and help identify those critical parameters, ones that can lead to an optimizing strategy in the manufacturing standards of engine block production.
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| 5. |
- Andersen, Ann-Louise, et al.
(författare)
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Towards a generic design method for reconfigurable manufacturing systems : Analysis and synthesis of current design methods and evaluation of supportive tools
- 2017
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Ingår i: Journal of manufacturing systems. - Sweden : Elsevier. - 0278-6125 .- 1878-6642. ; 42, s. 179-195
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Tidskriftsartikel (refereegranskat)abstract
- In today's global manufacturing environment, changes are inevitable and something that every manufacturer must respond to and take advantage of, whether it is in regards to technology changes, product changes, or changes in the manufacturing processes. The reconfigurable manufacturing system (RMS) meets this challenge through the ability to rapidly and efficiently change capacity and functionality, which is the reason why it has been widely labelled the manufacturing paradigm of the future. However, design of the RMS represents a significant challenge compared to the design of traditional manufacturing systems, as it should be designed for efficient production of multiple variants, as well as multiple product generations over its lifetime. Thus, critical decisions regarding the degree of scalability and convertibility of the system must be considered in the design phase, which affects the abilities to reconfigure the system in accordance with changes during its operating lifetime. However, in current research it is indicated that conventional manufacturing system design methods do not support the design of an RMS and that a systematic RMS design method is lacking, despite the fact that numerous contributions exist. Moreover, there is currently only limited evidence for the breakthrough of reconfigurability in industry. Therefore, the research presented in this paper aims at synthesizing current contributions into a generic method for RMS design. Initially, currently available design methods for RMS are reviewed, in terms of classifying and comparing their content, structure, and scope, which leads to a synthesis of the reviewed methods into a generic design method. In continuation of this, the paper includes a discussion of practical implications related to carrying out the design, including an identification of potential challenges and an assessment of which tools that can be applied to support the design. Conclusively, further areas for research are indicated, which provides valuable knowledge of how to develop and realize the benefits of reconfigurability in industry.
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| 6. |
- Andersson, Carin, et al.
(författare)
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On the complexity of using performance measures : Enhancing sustained production improvement capability by combining OEE and productivity
- 2015
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 35, s. 144-154
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Tidskriftsartikel (refereegranskat)abstract
- The global speed of change within the manufacturing industry forces companies to constantly improve production performance. In that effort, performance measures are critical for driving and managing production improvements. Two of the most commonly used measures in operations are productivity and overall equipment efficiency (OEE). However, the potential of using these measures as improvement drivers is not fully utilized in industry today due, for example, to ambiguities in definitions and their interpretation. A study of available theory indicates a gap between these implications from a theoretical perspective vs. the industrial perspective. Bridging this theory-practice gap implies great potential for competitiveness and growth in manufacturing, since the latent production capacity that could be utilized is tremendous. Even if a high degree of complexity in definition and calculation when applied in operational conditions might be perceived, this paper will show that a systematically used combined set of OEE and productivity measures can successfully drive production improvements. Also, two new productivity measures for driving improvements at the shop floor level are proposed. The empirical findings are based on a two-year case study within a manufacturing company in the automotive industry using an interactive research approach.
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| 7. |
- Asadi, Narges, et al.
(författare)
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Implications of realizing mix flexibility in assembly systems for product modularity—A case study
- 2019
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 52, s. 13-22
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Tidskriftsartikel (refereegranskat)abstract
- To enable the production of high product variety, mix flexibility in assembly systems is of paramount importance for manufacturing companies. Mixed-product assembly lines (MPALs) are growing as the key means of realizing mix flexibility in many manufacturing sectors, as they absorb volume fluctuations and offer high product variety. With the increasing product variety in MPALs, these assembly systems are becoming more complex. However, the practical challenges of these assembly systems, in particular those concerning product design, have not been adequately addressed. By performing a case study of a heavy machinery manufacturing company, this paper investigates the implications of realizing mix flexibility in an assembly system for product modularity. The findings pinpoint the low level of product modularity in assembly as the most important challenge in MPALs. Accordingly, realizing mix flexibility in an MPAL impacts product modularity through establishing a common assembly sequence and defining similar module contents across distinct product families.
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| 8. |
- Azamfirei, Victor, et al.
(författare)
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Application of automation for in-line quality inspection, a zero-defect manufacturing approach
- 2023
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Ingår i: Journal of manufacturing systems. - : Elsevier B.V.. - 0278-6125 .- 1878-6642. ; 67, s. 1-22
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Tidskriftsartikel (refereegranskat)abstract
- Contemporary manufacturing must prioritise the sustainability of its manufacturing processes and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind using data-driven technology, hence enhancing the quality of all manufacturing aspects (product, process, service, etc.). Making things right on the first try is the central tenet of ZDM. In recent years, the application of automation for in-line quality inspection systems has begun to attract the interest of both practitioners and academics because of its capability to detect defects in real-time, and thus adapt the system to disturbances. In this work, we provide a systematic review of the literature on current trends in the application of automation for in-line quality inspection with the ultimate objective of achieving ZDM. Additionally, bibliometric and performance analyses have been performed to gain a complete picture of the field. In this work, we have collected bibliometric data from the most widely referred search engines for academic engineering papers, i.e. Scopus, Web of Science, and IEEE Explorer, involving a total of 145 academic publications from 2011 to 2021. Uniquely for this study, we used three research attributes for the analysis of the selected articles, that is, the level of automation, the condition for quality inspection, and the contribution to ZDM dimensions. The literature suggests that there is a lack of research on the use of in-line detection data for the prediction of defects or repair. Based on the results and our interpretation of the literature, an adapted framework of ZDM (Psarommatis et al., 2020a) and multi-layer quality inspection (Azamfirei et al., 2021a) is presented.
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| 9. |
- Baroroh, D. K., et al.
(författare)
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Systematic literature review on augmented reality in smart manufacturing : Collaboration between human and computational intelligence
- 2021
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 61, s. 696-711
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Tidskriftsartikel (refereegranskat)abstract
- Smart manufacturing offers a high level of adaptability and autonomy to meet the ever-increasing demands of product mass customization. Although digitalization has been used on the shop floor of modern factory for decades, some manufacturing operations remain manual and humans can perform these better than machines. Under such circumstances, a feasible solution is to have human operators collaborate with computational intelligence (CI) in real time through augmented reality (AR). This study conducts a systematic review of the recent literature on AR applications developed for smart manufacturing. A classification framework consisting of four facets, namely interaction device, manufacturing operation, functional approach, and intelligence source, is proposed to analyze the related studies. The analysis shows how AR has been used to facilitate various manufacturing operations with intelligence. Important findings are derived from a viewpoint different from that of the previous reviews on this subject. The perspective here is on how AR can work as a collaboration interface between human and CI. The outcome of this work is expected to provide guidelines for implementing AR assisted functions with practical applications in smart manufacturing in the near future.
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| 10. |
- Bi, Z. M., et al.
(författare)
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Optimization of machining processes from the perspective of energy consumption: A case study
- 2012
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Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 31:4, s. 420-428
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Tidskriftsartikel (refereegranskat)abstract
- One of the primary objectives of sustainable manufacturing is to minimize energy consumption in its manufacturing processes. A strategy of energy saving is to adapt new materials or new processes; but its implementation requires radical changes of the manufacturing system and usually a heavy initial investment. The other strategy is to optimize existing manufacturing processes from the perspective of energy saving. However, an explicit relational model between machining parameters and energy cost is required: while most of the works in this field treat the manufacturing processes as black or gray boxes. In this paper, analytical energy modeling for the explicit relations of machining parameters and energy consumption is investigated, and the modeling method is based on the kinematic and dynamic behaviors of chosen machine tools. The developed model is applied to optimize the machine setup for energy saving. A new parallel kinematic machine Exechon is used to demonstrate the procedure of energy modeling. The simulation results indicate that the optimization can result in 67% energy saving for the specific drilling operation of the given machine tool. This approach can be extended and applied to other machines to establish their energy models for sustainable manufacturing
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