scholarly journals Pengembangan Model Pengukuran Kesiapan Industri 4.0 Untuk Perusahaan Manufaktur di Indonesia

Jurnal PASTI ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 106
Author(s):  
Hauw Sen Rimo Tan ◽  
Aditya Andhika ◽  
Francisca Dini Ariyanti ◽  
Khristian Edi Nugroho Soebandrija
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Measurement Model ◽  
Transformation Process ◽  
Action Plans ◽  
Manufacturing Companies ◽  
Electronic Manufacturing ◽  
Current State ◽  
Manufacturing Company ◽  
Culture Technology

Nowadays, manufacturing companies in Indonesia are facing a great challenge in Industry 4.0 era. Manufacturing companies perceive Industry 4.0 is complex and could disturb their business process with uncertainty in results by implementing it. In other side, manufacturing companies also have difficulty in assessing their readiness to start Industry 4.0 transformation process and fail to prepare strategies and action plans clearly. This research developed a measurement model of Industry 4.0 readiness with 2 aspects, 5 dimensions and 20 variables that could be used by manufacturing companies to asses their current state. The dimensions “Awareness” and  “Leadership and Strategy” are used to measure company readiness in “Knowledge” aspect, while the dimensions “People and Culture”, “Technology” and “Operation” are used to measure company readiness in “Resources Capability” aspect. The result of the measurement categories the company in 4 level of readiness, i.e.: “Not Ready”, “Conditional Ready”, “Basic Readiness” and “Fully Ready”. This model has been tested and used to measure Industry 4.0 readiness for an electronic manufacturing company located in Jabodetabek and showed that the model is easy and practical to be used in a real manufacturing company.   Keywords: Industry 4.0, readiness measurement, readiness model, readiness index 

A business process and portfolio management approach for Industry 4.0 transformation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sophie Richard ◽  
Robert Pellerin ◽  
Jocelyn Bellemare ◽  
Nathalie Perrier
Keyword(s):  
Business Process ◽  
Portfolio Management ◽  
Research Methodology ◽  
Industry 4.0 ◽  
Process Analysis ◽  
Management Approach ◽  
Project Portfolio ◽  
Manufacturing Companies ◽  
Project Portfolio Management ◽  
Content Type

PurposeThe purpose of this paper is to address the difficulties faced by manufacturing enterprises by providing a project portfolio management approach supporting the selection and prioritization of various Industry 4.0 projects where business process analysis is used to ensure the strategic alignment and value of the project portfolio.Design/methodology/approachThe design research methodology, a mixed applied research methodology, was used to develop and test the proposed approach.FindingsDespite the growing interest of the scientific and industrial communities in I4.0, it seems that there is no method by which manufacturing companies can select a large number of improvement projects. Moreover, studies tend to focus on the evaluation and implementation of a single technology, while the transformation of an intelligent plant requires the consolidation and coordination of many initiatives to achieve a global objective.Originality/valueThe proposed project portfolio management model offers support to enterprises during their digital transformation and improves their processes by integrating technology levers through consistent and achievable selection of I4.0 initiatives while meeting strategic goals and objectives.

scholarly journals Towards a Framework for Assessing the Maturity of Manufacturing Companies in Industry 4.0 Adoption

2018 ◽  
pp. 224-254 ◽  
Author(s):  
Luca Scremin ◽  
Fabiano Armellini ◽  
Alessandro Brun ◽  
Laurence Solar-Pelletier ◽  
Catherine Beaudry
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Systems ◽  
Case Analysis ◽  
Transformation Process ◽  
Manufacturing Companies ◽  
Assessment Framework ◽  
Disruptive Technologies ◽  
Fourth Industrial Revolution ◽  
Face Complex

The recent introduction of new disruptive technologies aimed at monitoring, controlling, optimizing, and automating production systems is shifting the manufacturing landscape towards a fourth industrial revolution. In this new industrial paradigm, manufacturing companies face complex challenges requiring the development of new organizational and technological capabilities. With this context in mind, this chapter is intended to provide a maturity assessment framework to understand the transformation process in manufacturing companies transitioning to Industry 4.0. The proposed framework is applied to 10 in-depth industrial case studies in Canada and Italy, two countries with increasing awareness of the Industry 4.0 revolution. A comparative case analysis revealed four different standards, or archetypes, for Industry 4.0 adoption, which are discussed and analyzed, highlighting a relationship between a company's manufacturing configuration and its path towards Industry 4.0 adoption.

Einführung einer autonomen Produktion/Introduction of autonomous production – A maturity model including recommended actions for manufacturing companies

2020 ◽  
Vol 110 (04) ◽  
pp. 177-183
Author(s):  
Elena-Clara Neumann ◽  
Simon Schumacher ◽  
Dennis Bauer ◽  
Torben Lucht ◽  
Thomas Bauernhansl ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Success Factor ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Evolutionary Path ◽  
Industrial Companies ◽  
Current State

Industrie 4.0 ist geprägt von autonomen Produktionssystemen. Das Erreichen von Autonomie stellt viele Industrieunternehmen vor große Herausforderungen. Handlungsleitende Unterstützung bei der Einführung von Autonomie ist ein essenzieller Erfolgsfaktor. Das hier vorgestellte Reifegradmodell bietet Unternehmen die Möglichkeit, den aktuellen Entwicklungsstand, die individuelle Zielsetzung und den entsprechenden evolutionären Weg dahin zu identifizieren.   The vision of industry 4.0 is characterized by autonomous production systems. Achieving this autonomy is a major challenge for many industrial companies. Supporting the implementation of autonomy is an essential success factor. The maturity model presented in this article offers an opportunity for companies to identify the current state of development, their individual objectives and the corresponding evolutionary path for implementation.

scholarly journals Benchmarking of Bosnia and Herzegovina to Croatia Manufacturing Industry and Industry 4.0

TEM Journal ◽  
2021 ◽  
pp. 1064-1071
Author(s):  
Hadis Bajric ◽  
Branko Vučijak ◽  
Edin Kadrić ◽  
Andrej Anđelić
Keyword(s):  
Quality Assurance ◽  
Product Development ◽  
Bosnia And Herzegovina ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Processes ◽  
Manufacturing Companies ◽  
Current State ◽  
A Company ◽  
Structured Questionnaire

The paper presents the results of the current state of Bosnia and Herzegovina (B&H) production companies benchmarked to the Croatian production companies and to the concept of Industry 4.0, using the same methodology formerly used in Croatia related to implementation of Industry 4.0. Assessment was made on a sample of 47 manufacturing companies from different industries. Responses were collected through online questionnaires and interviews. The assessment was made using structured questionnaire with questions related to the business processes of a company from product development, production and to the quality assurance and logistics. According to the collected responses and the methodology used, the level of development of B&H production companies is 2,19, which is very close to the Croatian companies, in which the level of development was at 2.15, but in a survey conducted three years earlier. This research confirmed that the level of development of B&H manufacturing companies is actually the same as with the Croatian companies.

scholarly journals Towards a Framework for Assessing the Maturity of Manufacturing Companies in Industry 4.0 Adoption

2021 ◽  
pp. 895-925
Author(s):  
Luca Scremin ◽  
Fabiano Armellini ◽  
Alessandro Brun ◽  
Laurence Solar-Pelletier ◽  
Catherine Beaudry
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Systems ◽  
Case Analysis ◽  
Transformation Process ◽  
Manufacturing Companies ◽  
Assessment Framework ◽  
Disruptive Technologies ◽  
Fourth Industrial Revolution ◽  
Face Complex

The recent introduction of new disruptive technologies aimed at monitoring, controlling, optimizing, and automating production systems is shifting the manufacturing landscape towards a fourth industrial revolution. In this new industrial paradigm, manufacturing companies face complex challenges requiring the development of new organizational and technological capabilities. With this context in mind, this chapter is intended to provide a maturity assessment framework to understand the transformation process in manufacturing companies transitioning to Industry 4.0. The proposed framework is applied to 10 in-depth industrial case studies in Canada and Italy, two countries with increasing awareness of the Industry 4.0 revolution. A comparative case analysis revealed four different standards, or archetypes, for Industry 4.0 adoption, which are discussed and analyzed, highlighting a relationship between a company's manufacturing configuration and its path towards Industry 4.0 adoption.

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

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.

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