Blockchain for smart manufacturing systems: a survey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiting Song ◽  
Jianhua Zhu
Keyword(s):  
Life Cycle ◽  
Literature Review ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Current Status ◽  
Smart Manufacturing ◽  
Research Directions ◽  
Product Life ◽  
Content Type ◽  
Smart Manufacturing Systems

Purpose Smart manufacturing is the prime gripper for the transformation and upgrading of the manufacturing industry. Smart manufacturing systems (SMSs) largely determine how smart manufacturing evolves in technical and organizational dimensions and how it realizes values in products, production or services. SMSs are growing rapidly and receiving tons of attention from academic research and industrial practice. However, the development of SMSs is still in its fancy, and many issues wait to be identified and solved, such as single point failures, low transparency and ineffective resource sharing. Blockchain, an emerging technology deriving from Bitcoin, is competent to aid SMSs to conquer troubles due to its decentralization, traceability, trackability, disintermediation, auditability and etc. The purpose of this paper is to investigate the blockchain applications in SMSs, seek out the challenges faced by blockchain-enabled SMSs (BSMSs) and provide referable research directions and ideas. Design/methodology/approach A comprehensive literature review as a survey is conducted in this paper. The survey starts by introducing blockchain concepts, followed by the descriptions of a literature review method and the blockchain applications throughout the product life cycle in SMSs. Then, the key issues and challenges confronting BSMSs are discussed and some possible research directions are also proposed. It finally presents qualitative and quantitative descriptions of BSMSs, along with some conclusions and implications. Findings The findings of this paper present a deep understanding about the current status and challenges of blockchain adoption in SMSs. Furthermore, this paper provides a brand new thinking for future research. Originality/value This paper minutely analyzes the impacts that blockchain exerts on SMSs in view of the product life cycle, and proposes using the complexity science thinking to deal with BSMSs qualitatively and quantitatively, including tackling the current major problems BSMSs face. This research can serve as a foundation for future theoretical studies and enterprise practice.

Are smart manufacturing systems beneficial for all SMEs? Evidence from Korea

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soojeen Jang ◽  
Yanghon Chung ◽  
Hosung Son
Keyword(s):  
Human Resources ◽  
Financial Performance ◽  
Manufacturing Systems ◽  
Contingency Theory ◽  
Ordinary Least Squares ◽  
Operational Efficiency ◽  
Smart Manufacturing ◽  
Least Squares Regression ◽  
Content Type ◽  
Smart Manufacturing Systems

PurposeThrough the resource-based view (RBV) and contingency theory, this study empirically investigates the impacts of smart manufacturing systems' maturity levels on the performance of small and medium-sized enterprises (SMEs). Moreover, it aims to examine how industry types (i.e. high- and low-tech industries) and human-resource factors (i.e. the proportion of production workers to total workers) as contingency factors influence the effects of smart manufacturing systems.Design/methodology/approachThe study conducted an empirical investigation of a sample of 163 Korean manufacturing SMEs. This study used an ordinary least squares regression to examine the impacts of the maturity levels of smart manufacturing systems on financial performance. Moreover, the impacts on operational efficiency were analysed using data envelopment analysis based on bootstrap methods and Tobit regression.FindingsThe RBV results indicate that the higher the maturity levels of smart manufacturing systems, the higher the financial performance and operational efficiency. Moreover, based on contingency theory, this study reveals that the effect of the maturity levels of smart manufacturing systems on financial performance and operational efficiency depends on firms' industry types and the proportion of production workers.Research limitations/implicationsThis study shows that the introduction of smart manufacturing systems can help SMEs achieve better financial performance and operational efficiency. However, their effectiveness is contingent on firms' industry types and the characteristics of their human resources.Practical implicationsSince the effects of the maturity levels of smart manufacturing systems on SME performance differ depending on their industries and the characteristics of human resources, managers need to consider them when introducing or investing in smart manufacturing systems.Originality/valueBased on the RBV and contingency theory, this is the first empirical study to examine the moderating effects of industry types and the proportion of production workers on the impacts of the maturity levels of smart manufacturing systems on the financial performance and operational efficiency of SMEs.

scholarly journals Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

2020 ◽  
Vol 10 (8) ◽  
pp. 2897
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Adele Parmentola
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Manufacturing Systems ◽  
Business Models ◽  
New Technologies ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Digital Innovation ◽  
Smart Manufacturing Systems

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.

Multi-View Modeling Scheme and Total Solution for Enterprise Digitalization

2010 ◽  
Vol 102-104 ◽  
pp. 841-845
Author(s):  
Xiao Bing He ◽  
Fie Liu ◽  
Yan He ◽  
Chun Ping Yan
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Networked Systems ◽  
Networked Manufacturing ◽  
Product Life ◽  
Business Operations ◽  
Enterprise Informationization ◽  
Manufacturing Sectors

Enterprise Digitalization depends to a large extent on models of enterprise process built for design and analysis. From the perspectives of product life cycle and enterprise informationization lifecycle, the paper outlined a modeling scheme with IDEF suite which guided multi-view modeling of Enterprise Digitalization and its process, and provided a total solution for Enterprise Digitalization, which would facilitate internal informationization systems of enterprise integrated with networked systems outside the enterprise to support business operations, and make enterprise manufacturing sectors integrated with external networked manufacturing systems and production equipments seamlessly.

When do megaprojects start and finish? Redefining project lead time for megaproject success

2014 ◽  
Vol 7 (4) ◽  
pp. 624-637 ◽  
Author(s):  
Carlos Eduardo Yamasaki Sato ◽  
Milton de Freitas Chagas Jr
Keyword(s):  
Life Cycle ◽  
Lead Time ◽  
Product Life Cycle ◽  
Product Life ◽  
Content Type ◽  
Operational Life ◽  
Initial Idea ◽  
The Moment ◽  
Project Lead

Purpose – The purpose of this paper is to propose to redefine the concept of project lead time (PLT) to encompass the time between the project initial idea and the moment in which success is being assessed, which can be beyond the project close-out, using whatever criteria is appropriate for the stakeholder at that moment in time. The conventional project life cycle does not count for the long-term effects of the megaproject, which can have a significant impact on its perception of success. Thus the megaproject life cycle should include a significant part of the operational life cycle of the end product or result, and the criteria of success should include the long-term benefits of the project (measured along various years after the delivery of the end product or result). Design/methodology/approach – The paper uses three illustrative cases of megaprojects: Airbus A380, London Heathrow Terminal 5 and London Olympic Games 2012. These megaprojects, despite their problems in achieving objectives of time, cost and quality (the triple constraint), can be viewed as success or failure depending on the performance and benefits of the resulting product/infrastructure analysed over a long period of time after its delivery. Findings – In order to reconcile the usual distinction between project and product life cycle, and the various definitions of success in different moments of the project/product life cycle, the authors propose to redefine the concept of PLT to encompass the time between the project initial idea and the moment in which success is being assessed, beyond the project close-out, using any criteria which is appropriate for the stakeholder at that moment in time. Originality/value – When assessing the success of the megaproject it is important to define the PLT under which success is being assessed. As pointed out earlier, in findings, the authors propose to redefine the concept of PLT to encompass the time between the project initial idea and the moment in which success is being assessed, beyond the project close-out, using any criteria which is appropriate for the stakeholder at that moment in time.

scholarly journals Analysis of the behaviour of the clients assisted and sales variables in the different phases of the product life cycle

2018 ◽  
Vol 27 (3) ◽  
pp. 266-284 ◽  
Author(s):  
Aida Galiano ◽  
Vicente Rodríguez ◽  
Manuela Saco
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Business Management ◽  
Bass Model ◽  
Business Decision ◽  
Product Life ◽  
Content Type ◽  
Nonlinear Regression Models ◽  
Sales And Marketing ◽  
Practical Implications

Purpose The Bass model was created to analyse the product life cycle (PLC) in order to help sales and marketing departments in their business decision making. The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments. Design/methodology/approach In this research, the authors analysed the 223,577 clients assisted by a nationwide network of car dealerships, who acquired 36,819 vehicles, during a 24-month period. In the analysis, the Bass model was applied to define the PLC phases; and nonlinear regression models were used to carry out the estimations. Findings The results show that more consistent estimates of the PLC phases are obtained from the clients assisted variable. This work has theoretical and practical implications that can help business management. Research limitations/implications The most remarkable thing about this research is that we have shown that the functionality of the clients assisted variable is greater than the sales variable for the Bass model and, therefore, for PLC estimation. Practical implications The results of this research are very useful, since they allow marketing decision makers to obtain more consistent estimations of the PLC phases using the Bass model and the clients assisted variable. This is based on the fact that the use of this variable helps to detect if there is any deficiency in the design of the marketing strategy when the client does not make the purchase. Social implications The data on clients assisted are as easily available to companies as sales data. However, the use of this variable improves PLC analysis and this allows an improvement in company forecasting. Thus, making the clients assisted variable a tool to strategically plan investments in innovation and marketing would reduce uncertainty in business management. Originality/value The purpose of this paper is to analyse the diferences between the clients assisted and sales variables, to discover which of the two variables is the more useful for the estimation of the PLC phases through the Bass model, thus aiding the managers of company sales and marketing departments.

Artificial intelligence in safety-critical systems: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Wang ◽  
Sai Ho Chung
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Current Status ◽  
Critical Systems ◽  
Research Directions ◽  
Content Type ◽  
Critical Domain ◽  
Safety Critical ◽  
Safety Critical Systems

PurposeThis study is a systematic literature review of the application of artificial intelligence (AI) in safety-critical systems. The authors aim to present the current application status according to different AI techniques and propose some research directions and insights to promote its wider application.Design/methodology/approachA total of 92 articles were selected for this review through a systematic literature review along with a thematic analysis.FindingsThe literature is divided into three themes: interpretable method, explain model behavior and reinforcement of safe learning. Among AI techniques, the most widely used are Bayesian networks (BNs) and deep neural networks. In addition, given the huge potential in this field, four future research directions were also proposed.Practical implicationsThis study is of vital interest to industry practitioners and regulators in safety-critical domain, as it provided a clear picture of the current status and pointed out that some AI techniques have great application potential. For those that are inherently appropriate for use in safety-critical systems, regulators can conduct in-depth studies to validate and encourage their use in the industry.Originality/valueThis is the first review of the application of AI in safety-critical systems in the literature. It marks the first step toward advancing AI in safety-critical domain. The paper has potential values to promote the use of the term “safety-critical” and to improve the phenomenon of literature fragmentation.

Marketing communication in the digital age: online ads, online WOM and mobile game adoptions

2019 ◽  
Vol 10 (3) ◽  
pp. 382-407
Author(s):  
Shiyang Gong ◽  
Wanqin Wang ◽  
Qian Li
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Positive Impact ◽  
Investment Strategy ◽  
Marketing Communication ◽  
Media Effect ◽  
Data Set ◽  
Product Life ◽  
Content Type ◽  
The Impact

Purpose This study aims to explore the interdependent impacts of online word-of-mouth (WOM) and online ads on digital product adoptions, as well as their dynamic changes throughout the product life cycle. Design/methodology/approach This study adopted an empirical approach by using a unique data set of five mobile games launched between 2012 and 2014 provided by Renren Games Ltd. in China. Findings The results indicated that advertising generally has a positive impact on WOM. During the product life cycle, the influence on volume and variance gradually decreases, whereas the impact on valence increases over time. WOM (including WOM volume and WOM valence) and advertising both have positive impacts on game adoptions. They complement each other to shape adoptions throughout the product life cycle: advertising is more effective in encouraging adoptions in the early and later stages of the demand evolution process, whereas WOM has a greater impact on adoptions in the mid-stage. Practical implications This study provided detailed managerial recommendations on how to effectively integrate different types of marketing communication and optimize the investment strategy of online ads and online WOM in different stages of the product life cycle. Originality/value First, the study enriched the theory of digital marketing communication by studying the relationship between mass media (online ads), interpersonal media (online WOM) and product adoptions in the network context. Second, it provided an empirical basis for the inference of the dynamic development of media effect in the new product diffusion theory. Third, the results will be helpful to end the debate in current theoretical literature on whether there is a complementary or alternative relationship between the two effects. Last but not least, it enriched research on the antecedents and dynamic effects of online WOM.

Development and implementation of product sustainment simulator utilizing fuzzy cognitive map (FCM)

2016 ◽  
Vol 23 (2) ◽  
pp. 425-442 ◽  
Author(s):  
Benedict M. Uzochukwu ◽  
Silvanus J. Udoka ◽  
Femi Balogun
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Time ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Time Data ◽  
Apparent Lack ◽  
Product Life ◽  
Content Type ◽  
Design Metrics

Purpose – Managing product life cycle data is important for achieving design excellence, product continued operational performance, customer satisfaction and sustainment. As a result, it is important to develop a sustainment simulator to transform life cycle data into actionable design metrics. Currently, there is apparent lack of technologies and tools to synthesize product life time data. The purpose of this paper is to provide a description of how a product sustainment simulator was developed using fuzzy cognitive map (FCM). As a proof of concept, and to demonstrate the utility of the simulator, an implementation example utilizing product life time data as input was demonstrated. Design/methodology/approach – The sustainment simulator was developed using visual basic. The simulation experiment was accomplished using a FCM. The Statistical Analytical Software tool was used to run structural equation model programs that provided the initial input into the FCM and the simulator. Product life data were used as input to the simulator. Findings – There is an apparent lack of technologies and tools to synthesize product life time data. This constitutes an impediment to designing the next generation of sustainable products. Modern tools, technologies and techniques must be used if the goal of removing product design and sustainment disablers is to be achieved. Product sustainment can, therefore, be achieved using the simulator. Research limitations/implications – The sustainment simulator is a tool that demonstrates in a practical way how a product life time generated data can be transformed into actionable design parameters. This paper includes analysis of a sample generated using random numbers. The lack of actual data set is primarily due to reluctance of organizations to avail the public of actual product life time data. However, this paper provides a good demonstration of how product life time data can be transformed to ensure product sustainment. Practical implications – The technique used in this research paper would be very useful to product designers, engineers and research and development teams in developing data manipulation tools to improve product operational and sustainable life cycle performance. Sustainment conscious organizations will, no doubt, benefit from a strong comparative and competitive advantage over rivals. Originality/value – Utilizing the simulator to transform product life time data into actionable design metrics through the help of an efficient decision support tool like the FCM constitutes a step in supporting product life cycle management. The outcome of this paper alerts product designers on parameters which should be taken into account when designing a new generation of a given product(s).

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