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1 – 6 of 6Jan Sher Akmal, Mika Salmi, Roy Björkstrand, Jouni Partanen and Jan Holmström
Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost…
Abstract
Purpose
Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost and delivery performance. In the switchover to AM from conventional manufacturing, the objective of this study is to find situations and ways to improve the spare parts service to end customers.
Design/methodology/approach
In this explorative study, the authors develop a procedure – in collaboration with the spare parts operations managers of a case company – for dynamic operational decision-making for the selection of spare parts supply from multiple suppliers. The authors' design proposition is based on a field experiment for the procurement and delivery of 36 problematic spare parts.
Findings
The practice intervention verified the intended outcomes of increased cost and delivery performance, yielding improved customer service through a switchover to AM according to situational context. The successful operational integration of dynamic additive and static conventional supply was triggered by the generative mechanisms of highly interactive model-based supplier relationships and insignificant transaction costs.
Originality/value
The dynamic decision-making proposal extends the product-specific make-to-order practice to the general-purpose build-to-model that selects the mode of supply and supplier for individual spare parts at an operational level through model-based interactions with AM suppliers. The successful outcome of the experiment prompted the case company to begin the introduction of AM into the company's spare parts supply chain.
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Sergei Chekurov, Mika Salmi, Victor Verboeket, Tuomas Puttonen, Tuomas Riipinen and Antti Vaajoki
Although additive manufacturing (AM) has been demonstrated to have significant potential in improving spare part delivery operations and has been adopted to a degree in the…
Abstract
Purpose
Although additive manufacturing (AM) has been demonstrated to have significant potential in improving spare part delivery operations and has been adopted to a degree in the aviation and automotive industries, its use in spare part production is still limited in other fields due to a variety of implementation barriers. The purpose of this article is to assess the significance of previously reported barriers in the context of the machine-building industry.
Design/methodology/approach
Adoption barriers are identified from the literature and formulated as hypotheses, which are verified with a set of focus group interviews consisting of original equipment manufacturers (OEMs), AM service providers and quality inspection and insurance institutions. The results of the interviews are reported qualitatively, and the transcripts of the interviews are subjected to quantitative content analysis.
Findings
The article identifies distrust in quality, insufficient material and design knowledge among stakeholders and poor availability of design documentation on spare parts as the key barriers of adopting AM in the production of spare parts. The three key barriers are interconnected and training engineers to be proficient in design and material issues as well as producing high-quality design documentation will yield the highest increase in AM implementation in spare parts.
Originality/value
The article offers a unique approach as it investigates the subjective views of a cross-organizational group of industrial actors involved in the machine-building industry. The article contributes to the theory of digital spare parts by verifying and rejecting presented barriers of AM implementation and how they are interconnected.
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Mirco Peron, Nicolò Saporiti, Majid Shoeibi, Jan Holmström and Mika Salmi
This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis…
Abstract
Purpose
This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis, we aim to better understand when to adopt AM, how to do so, and how such adoption might change in the future.
Design/methodology/approach
This research first conducted a systematic literature review (SLR) to identify AM challenges and opportunities in the medical sector, which were then validated through a Delphi study. The 18 Delphi study participants were also asked to suggest countermeasures for the challenges and help identify future AM adoption scenarios. Finally, these findings were analyzed according to the ecosystem pie model to design an ecosystem model for AM in the medical sector.
Findings
Among the 13 challenges and 13 opportunities identified, the lack of a skilled workforce and the responsiveness achievable via AM were by far the most relevant challenge and opportunity. Moreover, the participants identified countermeasures for 10 challenges, as well as three future AM adoption scenarios. Finally, leveraging these findings, an ecosystem model was developed.
Originality/value
This work contributes to the limited understanding of the AM challenges and opportunities in the medical sector. It helps medical practitioners to better understand the challenges and opportunities associated with AM and AM manufacturers to better identify where to focus their R&D efforts and how this would impact future AM adoption levels. Furthermore, this work extends current theory supporting the design of an ecosystem model for AM in the medical sector following the ecosystem pie model.
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Mika Salmi, Jukka Tuomi, Kaija‐Stiina Paloheimo, Roy Björkstrand, Markku Paloheimo, Jari Salo, Risto Kontio, Karri Mesimäki and Antti A. Mäkitie
The purpose of this paper is to develop a workflow for 3D modeling and additive manufacturing (AM) of patient‐specific medical implants. The comprehensive workflow consists of…
Abstract
Purpose
The purpose of this paper is to develop a workflow for 3D modeling and additive manufacturing (AM) of patient‐specific medical implants. The comprehensive workflow consists of four steps: medical imaging; 3D modelling; additive manufacturing; and clinical application. Implants are used to reconstruct bone damage or defects caused by trauma or disease. Traditionally, implants have been manually bent and shaped, either preoperatively or intraoperatively, with the help of anatomic solid models. The proposed workflow obviates the manual procedure and may result in more accurate and cost‐effective implants.
Design/methodology/approach
A patient‐specific implant was digitally designed to reconstruct a facial bone defect. Several test pieces were additive manufactured from stainless steel and titanium by direct metal laser sintering (DMLS) technology. An additive manufactured titanium EOS Titanium Ti64 ELI reconstruction plate was successfully implanted onto the patient's injured orbital wall.
Findings
This method enables exact fitting of implants to surrounding tissues. Creating implants before surgery improves accuracy, may reduce operation time and decrease patient morbidity, hence improving quality of surgery. By using AM methods it is possible to manufacture a volumetric net structure, which also allows cells and tissues to grow through it to and from surrounding tissues. The net is created from surface and its thickness and hole size are adjustable. The implant can be designed so that its mass is low and therefore sensitivity to hot and cold temperatures is reduced.
Originality/value
The paper describes a novel technique to create patient‐specific reconstruction implants for facial bony defects.
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Several scholars have recently highlighted the narrowness of accounting research regarding it as a threat to scholarly developments in the field. The aim of this study was to…
Abstract
Purpose
Several scholars have recently highlighted the narrowness of accounting research regarding it as a threat to scholarly developments in the field. The aim of this study was to chart progress in management accounting research using a sample of doctoral dissertations published in Finland. In particular, the study examines the range and diversity of research strategic choices in Finnish dissertations over time, including the topics and methodological and theoretical approaches chosen. The authors also briefly compare findings over time and with other progress studies.
Design/methodology/approach
A longitudinal historical investigation was selected. All of the 80 management accounting doctoral dissertations published in Finnish business schools and departments during 1945-2015 were analysed.
Findings
The findings reveal that an expansion of doctoral education has led to an increasing diversity of research strategic choices in Finland. Different issues have been of interest at different times; so, it has been possible to cover a wide range of cost, management accounting and other topics and to use different methodological and theoretical approaches over time. Consequently, management accounting has become a rich and multifaceted field of scientific research.
Research limitations/implications
While this analysis is limited to doctoral research in Finland, the results should be relevant in advancing the understanding of the development of management accounting research.
Practical implications
Overall, the findings support the view that there have been, and continue to be, many ways to conduct innovative research in the field of management accounting.
Social implications
Dissertation research in this field has been extensive and vital enough to educate new generations of academics, guarantee continuity of the subject as an academic discipline and make management accounting a significant academic field of research.
Originality/value
The paper contributes to current research on management accounting change by an analysis of a sample of doctoral dissertations.
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