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This study considers the question of creation of a modern small aircraft purpose parts manufacturing company which will use additive technologies according to the principles of "smart" production and the concept of «lean» management. In order to reduce time and cost of current production, conform to world technologies and competitive ability optimi...
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Abstract. Looking at the Norwegian industry, it generally consists of small and medium size enterprises. Many of them are suppliers to the oil & gas, fishery and maritime industries. These industries have all been strong contributors to the Norwegian growth. However, many of these suppliers are very vulnerable for market changes and the dependencie...
Citations
... From the perspective of LM and AM, the authors highlight the capabilities of AM to enhance lean practices in manufacturing industries. Studies show that smart factories minimizes waste, pollution generation (King and Lenox, 2001), and improve operational efficiency, productiveness and sustainability aspects (Godina et al., 2020;Smelov et al., 2014). LM enable such reductions via the offered benefits of omitted non-valuable time consuming activities whereas AM enable customization, reduced time to market, real time monitoring and optimizing of manufacturing. ...
... Excess inventory extends communication and lead times. AM offers the possibility of integrated systems interaction, swift iterations and manufacturing, real time monitoring and potential to real time manufacturing (Godina et al., 2020;Smelov et al., 2014) to reduce lead time, waste and costs. These offered benefits enhance leanness in production for material efficiency and improved sustainability (Chen and Lin, 2017;Ghobadian et al., 2020). ...
Lean practices in industry offered by lean management (LM) tools have revolutionized industrial production and operation. These tools allow for incorporation of pragmatic steps to reduce waste, improve flow of goods, and increase productivity in industrial settings. Novel manufacturing methods such as additive manufacturing (AM) promotes resource efficiency and cost efficiency which already is offered by LM. AM also aids in further waste minimization through light weighting, reduced scrap rate, shorter lead time, digital inventory, and energy-efficient parts. A preliminary review showed a lack of data on how LM and AM complement each other towards elimination of waste created. The aim of the study was to assess the prospect of the convergence of LM and AM to enhance resource efficiency and reduce waste, as well as the contribution to environmental, social, and economic aspects, i.e., the pillars of sustainability. The study methodology reviews literature of LM and AM including key concepts, tools, and technologies, and two industrial case studies of new product developments. The results show a distinctive stepwise approach by which organizations may identify and reduce waste in their operations by reduced cost, time, space, material usage, emissions, and digitalization. The novelty of the study is in addition to environmental benefits such as reduced emissions and reduced material waste, the convergence of LM and AM also contributes to economic and social sustainability, for example, through on-demand manufacturing which can provide better supply chain efficiencies, customized batch production, reduced lead time, etc., as well as reduced human fatigue and errors, workspace safety, ergonomic working, etc., respectively. The integration of LM and AM also reduces overproduction, process steps, and total cost of ownership through reduced need of physical spare parts. In this way, outdated or unmatched parts can be omitted, and replaced with on-demand manufactured AM spare parts.
... Related works present an innovative gateway technology for collecting real-time data from the shop floor, relating smart objects and workflow configuration (Zhang et al., 2010) and frameworks to automate the management of processes and models that allow relationships between processes (Polyvyanyy et al., 2017). The analyses of the field of study also show a possible integration between lean production and business processes through the application of value-stream mapping (VSM) to reduce costs and manufacturing times (Smelov et al., 2014). Flexible production also seeks integration into learning networks to customize workflow development (Almeida, 2011) and frameworks to map processes and predict variables such as time, energy consumption and machine usage (Menasc e et al., 2015). ...
Purpose
The purpose of this paper is to identify the relationships between process modeling and Industry 4.0, the strategic themes and the most used process modeling language in smart factories. The study also presents the growth of the field of study worldwide, the perspectives, main challenges, trends and suggestions for future works.
Design/methodology/approach
To do this, a science mapping was performed using the software SciMAT, supported by VOS viewer.
Findings
The results show that the Business Process Model and Notation (BPMN), Unified Modelling Language (UML) and Petri Net are the most relevant languages to smart manufacturing. The authors also highlighted the need to develop new languages or extensions capable of representing the dynamism, interoperability and multiple technologies of smart factories.
Originality/value
It was possible to identify the most used process modeling languages in smart environments and understand how these languages assist control and manage smart processes. Besides, the authors highlighted challenges, new perspectives and the need for future works in the field.
... It exhibits an h-index of 4. Bauer et al. (2015) studied the impact of industry 4.0 on society, economy, and production. Smelov, Kokareva, and Malykhin (2014); Kaspar and Schneider (2015); as well as Roy, Mittag, and Baumeister (2015) dealt with the union of the concepts of industry 4.0 and Lean Production, and the way both these concepts are supported. ...
Research in industry 4.0 is growing, driven by the innovations in production systems on a continuous basis. In this study, we identified the evolution of themes inherent in the industry 4.0 using a bibliometric software, namely SciMAT (Science Mapping Analysis Software Tool). The analyses included 1882 documents, 4231 keywords, and the relevant information was extracted based on frequency of co-occurrence of keywords. The clusters were plotted in two-dimensional strategic diagrams and analysed using the bibliometric indicators such as the number of publications, number of associated documents, and h-index. The results revealed that 2017 had the largest number of publications. Expert authors in the field and the periodicals that published the most were identified. The science mapping presented 31 clusters in which the most representative motor themes were CPS (Cyber-Physical System), IoT (Internet of Things), and Big Data. In addition, it was possible to identify fields with high investment of efforts by the scientific community such as the union between lean production and industry 4.0, production-centered CPS (CPPS), IoT (Industrial Internet of Things - IIoT), among others. The overlapping map showed an increase in the number of keywords from 338 to 1231 over the period of data. The map of scientific developments supported by an exhaustive research, it was possible to show the state of the art, the main challenges and perspectives for future research in the field of industry 4.0 such as Technology, Collaboration/Integration, Management and Implementation.
... AM process planning is based on knowledge expert system of multi-attributes decisionmaking problems, such as the selection of AM machines or processes, selection of AM materials and determination of a set of AM parameters and parts [6]. When we use AM techniques for engines parts manufacturing we should know how to select the best combination of parts and materials, machines according to end-use requirements taking into account the built orientation. ...
This paper reviews the state-of-the-art of an additive process planning methods amd models. Paper deals with the literature review of the planning process of additive manufacturing. The study also demonstrate multi-criteria planning model of engines parts additive manufacturing using multi-attributes decision-making problems approach.
... To evaluate the effectiveness of the work carried out, the results were evaluated in monetary terms. For this used cyclic schedule was, which is the most important document for inter departmental operational planning [8]. In our case, the cyclic graph of product assembly was built without considering payload on the basis of the cycle time of assembly and each assembly operation, taking into account the duration of the cycles of assembly and operation implementation. ...
This article discusses the process of identifying the problem areas of the product cycle by the value stream. Mapping value stream mapping allowed the development of a number of management solutions to increase productivity, optimize the process and improve the competitiveness of products. For the study a product manufactured by one of the industrial enterprises of the city of Samara was selected. The production process as repeatedly optimized by services of the plant, but its cycle is still and unstable. To solve these problems the pull scheme of production was proposed. The proposed method for the improvement of the production process on the basis of value stream mapping allows optimizing the production process, reducing the production cycle, improving the quality and efficiency of production. The final results were expressed in value terms. The final result showed that the use of this method allows reducing the duration of the production cycle for 42.28%, the cost of products - by 57.71%.
Additive Manufacturing (AM) and Building Information Modelling (BIM) are emerging trends for which it has been claimed that both increase both efficiency and productivity in the construction industry. The aim of this study is to synthesise and aggregate the literature addressing BIM integration in the AM of concrete structures and to exploit the joint value creation potential.
This study firstly applies a mixed-review method in order to achieve mutual corroboration and interdependency between quantitative and qualitative research approaches. Bibliometric mapping is applied to identify, map and synthesise the relevant literature. Scoping review is used to examine the extent, gap, range and nature of the research activity. Afterward, a cross-situational analysis, TOWS2 Matrix, is proposed and applied to exploit the joint value creation potential of different aspects of AM and BIM.
The study reveals a substantial interest in this field. However, progress in terms of integration is slow compared to the rapid development in interest in the two trends individually. The literature discusses or conceptualises such integration at building-scale, while prototyping or PoC processes are only rarely employed. The study identified 12 joint value creation potentials through the integration of BIM in AM for concrete structures, which can create value by enabling more optimised designs, automated construction processes, and data analytics that can apply throughout the building life-cycle process.
The advancements of BIM integration in the AM of concrete structures are analysed and joint value creation potentials are proposed. The study proposes a cross-situation analysis that can be applied to structure joint value creation potentials from the multi-dimensional integration of different factors and topics, especially for emerging technologies.
A pilot production unit for fusible metal powders is considered. The formation of liquid metal particles in a melt generator based on the chamber of a low-thrust rocket engine is described. The systems employed in the proposed unit are itemized, including supply systems for the fuel components and initial powder material; the system for flow-rate measurement; the system for collection of the solidifying metal particles; and the system for automated collection and preliminary analysis of the experimental data.
Aviation is a high competitive industry where actors should be first adopters for leading market or following adopters to survive. Traditional manufacturing techniques pass into the background, manufacturing systems require using additive technologies for rapid adaptation to current demand and reduction of production cycle duration. Many large mechanic and aircraft engineering companies have already adopted additive manufacturing technologies in their future production strategy. The general concept of 3D printer on the basis of e-manufacturing principles is aimed at integration of computer models of physical objects and processes. This change requires a deep transformation into enterprise business model, affecting either core or support activities. For instance, additive manufacturing could also change product lifecycle and supply chain management practices. This paper aims to identifying how these new technologies could improve support activities for aeronautical industry? Results show that additive manufacturing triggers a paradigm shift for aircraft lifecycle management and enable lean and agile practices for supply chain management.
