scholarly journals Reconfigurable Manufacturing: How Shop Floor Digitalisation Supports Operators in Enhancing Diagnosability

Author(s):  
Alessia Napoleone ◽  
Ann-Louise Andersen

Manufacturing companies are currently struggling with the need to deal with ever changing marker requirements and technological advances. They can develop the reconfigurability capability in their factories in order to deal with such context. Moreover, companies can implement shop floor digitalisation to enhance their reconfigurability. This paper sustains two arguments: (i) the possibility to enhance diagnosability as a critical reconfigurability characteristic through shop floor digitalisation; and (ii) the relevance of the human role in reaching diagnosability in a digitalised shop floor. The paper first presents a literature review and based on this, aspects of shop floor digitalisation supporting operators in enhancing the diagnosability are identified and synthesized in a 3-e model (error reduction, ergonomics, and easiness). Secondly, insights from a case study are interpreted through the literature-based model in order to both consolidate the theoretical results and emphasize the implications for practitioners. The findings of this paper indicate that the proposed model can support practitioners in taking specific actions in regard to shop floor digitalisation in order to improve operator-dependent diagnosability and, in turn, the reconfigurability capability.

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.


2018 ◽  
Vol 10 (9) ◽  
pp. 3272 ◽  
Author(s):  
Elena-Teodora Miron ◽  
Anca Purcarea ◽  
Olivia Negoita

Third-party innovators, i.e., complementors, in platform enterprises develop and commercialize add-on products which are one of the main attraction points for customers. To ensure a sustainable evolution of the enterprise, the platform owner needs to attract and retain high-quality third-party innovators. We posit that the transaction costs incurred upon joining the enterprise as well as the controls imposed by the platform owner throughout the development and commercialization process shape the innovator’s perceived risk and influence his decision on whether to join or not. Based on a literature review, the paper at hand proposes a conceptual model for complementors to assess their perceived risk and subsequently evaluates the model in a case study of a platform enterprise for IT-based modelling tools. While some of the propositions are validated, i.e., that informational controls decrease the perceived environmental uncertainty and implicitly the perceived risks, other propositions, such as the fact that asset specificity is a deterrent to entering the platform enterprise could not be validated. Further case studies are necessary to provide a conclusive proof of the proposed model.


2008 ◽  
Vol 12 (04) ◽  
pp. 597-627 ◽  
Author(s):  
TUGRUL U. DAIM ◽  
ABRAHAM HERNANDEZ

Technological innovation is used by many companies as a means of sustaining their competitive advantage. The environments in which this innovation occurs is usually uncertain, therefore, many companies perform technological forecasting in association with their technological innovation processes. While many researchers have studied the innovation process and many more forecasting methods, there is little research connecting the two within the strategic context of the firm. To do this, a model of the forecasting process is needed. The purpose of this paper is to present a model based on a literature review. Previous models which formed the basis for the proposed model will be discussed followed by an explanation of the model and conclusion. Finally, a case study is presented to observe and test the proposed model.


Author(s):  
Pinaki Nandan Pattnaik ◽  
Mahendra Kumar Shukla

This chapter identifies and develops an understanding of various nuances and the synchrony between the concepts of marketing management and usage by political parties while electioneering. The chapter also evaluates various political marketing models and has developed a comprehensive model to better understand its applicability in an Indian context. It is based on substantial literature review to develop a holistic understanding of Political Marketing and Models of Political Marketing. A Case study of the Bharatiya Janata Party is used to evaluate the proposed model. This chapter adds insight from the Indian viewpoint on existing literature concerning political marketing models.


2019 ◽  
Vol 31 (5) ◽  
pp. 1023-1043 ◽  
Author(s):  
Reginaldo Carreiro Santos ◽  
José Luís Martinho

Purpose In recent years, the development and application of innovative and disruptive technologies in manufacturing environments is shaping the fourth industrial revolution, also known as Industry 4.0. The purpose of this paper is to describe a tool to assess the maturity level in implementing Industry 4.0 concepts and technologies in manufacturing companies. Design/methodology/approach Using a framework to develop maturity models found in literature, three main steps were taken: the model design from the literature review on industry 4.0 and the comparative analysis of existing models; interviews with engineers and managers of relevant industries; and pilot tests in two relevant industrial companies. Findings The proposed maturity model has 41 variables considering five dimensions (organizational strategy, structure and culture; workforce; smart factories; smart processes; smart products and services). The studied companies showed different levels of Industry 4.0 implementation. According to respondents, the model is useful in making an initial diagnosis and establishes a roadmap to proceed the implementation. Practical implications Empirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to measure the current state (initial diagnostic and monitoring assessments), and to plan the future desired state (goal), identifying which transformational capabilities should be developed. Originality/value The literature review did not return an enough complete maturity model to guide a self-administered assessment. Therefore, the proposed model is a valuable tool for companies and researchers to understand the I4.0 phenomenon, plan and monitor the transformation actions.


Author(s):  
Nguyen Thi Duc Nguyen ◽  
Tran Thi Huong Giang ◽  
Ngo Kim Hao

This study focuses on reviewing, analyzing, comparing lean assessment methods/tools from previous researches, and selecting an appropriate method/tool, and then applying the selected one to evaluate the leanness level in the specific company. Literature review and case study research at JVN-Company are conducted in this study. The result finds that: (a) LAT developed by Pakdil & Leonard (2014) is the effective tool to measure efforts in implementing Lean and identify wastes from Lean perspective within an enterprise; and (b) By applying LAT to assess the leanness level at JVN company, the results show that JVN company has achieved the leanness level at 68,58%; while Customer dimension has the highest LAT score showing that JVN has high customer satisfaction and loyalty. However, the delivery dimension, particularly late delivery, is in special need of improvement in comparison with other dimensions. Accordingly, a few proposals have been recommended for JVN to consider and adopt the appropriate ones to improve its performance. Overall, the results of this study provide helpful references for manufacturing companies in Vietnam to self–assess their leanness comprehensively, thereby developing the proper and effective roadmap for Lean transformation.


2021 ◽  
Vol 13 (23) ◽  
pp. 12987
Author(s):  
Angelo Corallo ◽  
Vito Del Del Vecchio ◽  
Marianna Lezzi ◽  
Paola Morciano

The digital twin is currently recognized as a key technology allowing the digital representation of a real-world system. In smart manufacturing, the digital twin enables the management and analysis of physical and digital processes, products, and people in order to foster the sustainability of their lifecycles. Although past research addressed this topic, fragmented studies, a lack of a holistic view, and a lack of in-depth knowledge about digital twin concepts and structures are still evident in the domain of the shop floor digital twin. Manufacturing companies need an integrated reference framework that fits the main components of both physical and digital space. On the basis of a systematic literature review, this research aims to investigate the characteristics of the digital twin for shop floor purposes in the context of smart manufacturing. The “hexadimensional shop floor digital twin” (HexaSFDT) is proposed as a comprehensive framework that integrates all the main components and describes their relationships. In this way, manufacturing organizations can rely on an inclusive framework for supporting their journey in understanding the shop floor digital twin from a methodological and technological viewpoint. Furthermore, the research strengthens the reference literature by collecting and integrating relevant contributions in a unique framework.


2020 ◽  
Vol 12 (1) ◽  
pp. 61-70
Author(s):  
Mateo Márquez-Gutiérrez ◽  
Guillermo Carmona-Gonzalez ◽  
Carlos Castro-Zuluaga

AbstractAimsTo develop an immaturity model for the assessment of logistic processes that can assess the practices that describe the level of criticality, which maturity models do not evaluate, of these processes.OriginalityApplication of the little-known variation of maturity models and immaturity models in business logistic processes.Research methodThe research is conducted from a literature review primarily with terms such as immaturity models and process immaturity. As literature is poor, it is supported by the maturity models developed by various authors in multiple domains.Main findingsAs a result, an immaturity model is obtained for the assessment of the main logistic processes of manufacturing companies. Likewise, the evaluation and the experiences collected from its application in a company of a case study are obtained.Implications for theory and practiceThe studies about immaturity of processes are few. The model is designed for manufacturing companies whose logistics management differs from service companies.


Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 29
Author(s):  
Juliana Salvadorinho ◽  
Leonor Teixeira

Industry 4.0 and its application in the business has been the focus of attention by the academy, for its ability to establish principles of flexibility and connectivity along the shop floor. Meantime, because of a lean wave in the 1990’s, most of the western industry adopted principles, techniques and tools of lean production, whose results were quickly captured, guaranteed its adoption worldwide. Thus, with a view to turning traditional manufacturing companies into smart companies, it is essential to preserve the existing system and find ways for the two concepts (Lean and I4.0) to come together. This study was conducted based on a systematic literature review, using the Scopus database. The PRISMA process was the method used to select the articles. Finally, to analyze and discuss the results, the bibliometric analysis of the articles and content analysis were adopted. The results point to a greater impact of I4.0 technologies on lean, since it was perceived that I4.0 technologies give to lean tools a more dynamic way of working, accelerating information sharing processes and improving production manager’s and operator’s decision making. In the perspective of lean’s contribution to I4.0; however, there is little practical and theoretical application, thus the actual contribution is still somewhat blurred.


2018 ◽  
Vol 6 ◽  
pp. 271-276
Author(s):  
Aneta Kucińska Landwójtowicz

Continuous Improvement is a concept recognized in literature and management practice as essential in today's business environment. This article deals with the analysis of the importance and placement of project management in the implementation and application of Continuous Improvement (CI) practices in manufacturing companies. The first part of the article presents the conclusions resulting from the literature review of the improvement projects management. The problems appearing in this area of the organization's activity were analyzed. Then are presented the results of the empirical research carried out in the production company. A case study has allowed the characteristics of the realized projects to be determined and the identification of the factors that are conducive to and obstructive to the achievements of their objectives.


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