scholarly journals A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Applicability in the O&G Upstream Industry

2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.

2020 ◽  
Vol 12 (6) ◽  
pp. 2280 ◽  
Author(s):  
Mohamed Abubakr ◽  
Adel T. Abbas ◽  
Italo Tomaz ◽  
Mahmoud S. Soliman ◽  
Monis Luqman ◽  
...  

The necessity for decreasing the negative impact of the manufacturing industry has recently increased. This is getting recognized as a global challenge due to the rapid increase in life quality standards, demand, and the decrease in available resources. Thus, manufacturing, as a core of the product provision system and a fundamental pillar of civilized existence, is significantly influenced by sustainability issues. Furthermore, current manufacturing modeling and assessment criteria require intensive revisions and upgrades to keep up with these new challenges. Nearly all current manufacturing models are based on the old paradigm, which was proven to be inadequate. Therefore, manufacturing technology, along with culture and economy, are held responsible for providing new tools and opportunities for building novel resolutions towards a sustainable manufacturing concept. One of such tools is sustainability assessment measures. Revising and updating such tools is a core responsibility of the manufacturing sector to efficiently evaluate and enhance sustainable manufacturing performance. These measures should be adequate to respond to the growing sustainability concerns in pursuit of an integrated sustainability concept. The triple bottom line (TBL) that includes environment, economic, and social dimensions has usually been used to evaluate sustainability. However, there is a lack of standard sets of sustainable manufacturing performance measures. In addition to the sustainability concept, a new concept of smart manufacturing is emerging. The smart manufacturing concept takes advantage of the recent technological leap in Artificial Intelligent (AI), Cloud Computing (CC), and the Internet of Things (IoT). Although this concept offers an important step to boost the current production capabilities to meet the growing need, it is still not clear whether the two concepts of smart manufacturing and sustainability will constructively or destructively interact. Therefore, the current study aims to integrate the sustainable smart manufacturing performance by incorporating sustainable manufacturing measures and discussing current and future challenges that are faced by the manufacturing sector. In addition, the opportunities for future research incorporating sustainable smart manufacturing are also presented.


2021 ◽  
Vol 27 (1) ◽  
pp. 50-57
Author(s):  
Sirorat Pattanapairoj ◽  
Krisanarach Nitisiri ◽  
Kanchana Sethanan

Abstract Industry 4.0 is an era in which the manufacturing industry has adopted digital technologies and the Internet to enable smart manufacturing system, machines used in the production now can communicate with each other and exchange information between each other, and the machinery used in the manufacturing process is more modern and precise. Therefore, educational institutions should develop the curriculum to produce qualified graduates with the knowledge required for the Industry 4.0 era, especially Industrial Engineering graduates who are directly related to the industry sector. The purpose of this research is to collect the data for the Master of Industrial Engineering (MSIE) curriculum development. The Analytic Hierarchy Process (AHP) technique is used to rank the indicators of knowledge that is important to the employment of graduates with a master’s degree in Industrial Engineering, and study the gap between the expectations of employers and the ability of the current MSIE students of Khon Kaen University. The results of the study reveal that the first indicators that are most important to the employment of MSIE graduates is the knowledge of Industry 4.0 strategy and the knowledge that the students should have developed are the collaboration of humans and robots, big data analytics, real time data usage and databased decision making.


2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Pradeep Kumar

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to  review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.


2021 ◽  
pp. 7-15
Author(s):  
О.В. Дударева ◽  
Д.Н. Дударев ◽  
Д.В. Аракчеев

Введение. Цифровизация экономики и, в частности, переход к умному производству или Индустрии 4.0, являются актуальным мировым трендом. Цифровизация экономики признана приоритетным направлением и в Российской Федерации. Трансформация производственной отрасли называется революцией именно потому, что изменения происходят не поверхностные, а радикальные: индустрия перестраивается сверху донизу. Путь этих преобразований привел к следующему технологическому рубежу, к формированию концепции Индустрии 4.0, которую также называют концепцией «Умного производства» (Smart Manufacturing). Данные и методы. Основные методы исследования — теоретические и практические методы, с помощью которых проводилось исследование: методы системного анализа, экономико-математические методы анализа информации, методы экспертных оценок, моделирования и прогнозирования. В статье использовались результаты исследований клуба лидеров цифрового производства, клуба производственников Сколково, компаний Solver, AUTODESK, Государственной корпорации Ростех и ряда других. Полученные результаты. В статье освещены концептуальные аспекты (теоретические и практические) перехода к умному производству в условиях цифровизации с целями повышения конкурентоспособности российских компаний через использование новых производственных технологий; формирования основы для разработки стратегии развития и повышения эффективности компаний; согласования с глобальными трендами Индустрии 4.0, действующими российскими стандартами и особенностями бизнеса; изменения культуры внедрения и работы с инновациями. Заключение. Представленные разработки позволяют сформировать ряд умозаключений по вопросам концепции и технологий умного производства, походов к цифровой трансформации бизнес-процессов, стратегий цифровизации и новых бизнес-моделей. Introduction. Digitalization of the economy and, in particular, the transition to smart manufacturing or Industry 4.0, is a current global trend. Digitalization of the economy is also recognized as a priority in the Russian Federation. The transformation of the manufacturing industry is called a revolution precisely because the changes are not superficial, but radical: the industry is being rebuilt from top to bottom. The path of these transformations led to the next technological milestone, the formation of the concept of Industry 4.0, which is also called the concept of "Smart manufacturing". Data and methods. The main research methods are theoretical and practical methods used to conduct the research: methods of system analysis, economic and mathematical methods of information analysis, methods of expert assessments, modeling and forecasting. The article uses the research results of the digital production leaders club, SKOLKOVO production workers club, Solver, AUTODESK, rostec State Corporation, and a number of others. Obtained result. The article deals with conceptual aspects (theoretical and practical) of the transition to smart production under conditions of digitalization with the objectives of improving the competitiveness of Russian companies through the use of new production technologies; forming the basis for strategy development and efficiency improvement; align with global trends of Industry 4.0, the existing Russian standards and business; culture change implementation and work with innovation. Conclusion. The presented developments allow us to form a number of conclusions on the concept and technologies of smart production, approaches to digital transformation of business processes, digitalization strategies and new business models.


Author(s):  
Sagil James ◽  
Anupam Shetty

Abstract The fourth industrial revolution, also known as Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Industry 4.0 synchronizes concepts such as Smart Manufacturing, Smart Factory, and the Internet of Things with existing factory automation technologies in order to improve value in manufacturing by monitoring key performance indicators and creates value in all manufacturing related aspects. Currently, several industries have started early initiatives of implementing these technologies. As the industries are evaluating their readiness for implementing the Industry 4.0 concepts, there are several challenges which need to be addressed including high initial investment, lack of standardization, data security and lack of skilled labor. A strategic roadmap towards implementing the Industry 4.0 paradigms is still unclear in the industry as well as in academia. This research develops an initial framework for the effective implementation of Industry 4.0 in the high technology manufacturing sectors in the Southern California region. The results of this study are expected to provide a platform to expand the opportunities of Industry 4.0 further and facilitate worldwide adoption.


2021 ◽  
Vol 11 (8) ◽  
pp. 3568
Author(s):  
Amr T. Sufian ◽  
Badr M. Abdullah ◽  
Muhammad Ateeq ◽  
Roderick Wah ◽  
David Clements

The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.


2020 ◽  
Vol 16 (9) ◽  
pp. 11
Author(s):  
Vu Thi Tuyet Mai ◽  
Nguyen Thi Phuong Thu

Manufacturing enterprises are currently facing many challenges of industrial revolution 4.0 when beginning to change the production model, working with embedded systems which can collect and transmit specific data. The application of maturity models to the Industry 4.0 may help organizations to address the challenges regarding the concept of Industry 4.0 and the diversification methodology. This research is going to examine the application of a maturity model for assessing Industry 4.0 created by Schumacher et al. (2016). The Maturity model of Schumacher et al. (2016) was built to assess the maturity and to infiltrate of the enterprises manufacturing into the Industry 4.0. The purpose of this paper is examining the applicable of using the Maturity model in evaluating the maturity of industrial enterprises in Vietnam toward industry 4.0. The issues will be addressed in this paper: i) The nature of Industry 4.0 and challenges for the manufacturing enterprises; ii) The Maturity model for manufacturing enterprises towards Industry 4.0; iii) The process of applying Maturity model in assessing the manufacturing enterprise towards Industry 4.0; iv) Some initial recommendations for Vietnamese manufacturing enterprises and v) Conclusion.


2021 ◽  
Vol 28 (Number 2) ◽  
pp. 73-101
Author(s):  
Hafiz Mudassir Rehman ◽  
Hui Nee Au Yong ◽  
Yuen Onn Choong

The manufacturing industry is an indispensable part of the economy, especially for Malaysia. The manufacturing sector in Malaysia is not only transforming raw material into products, but also contributing significantly to the country’s economy. Malaysia has attained a significant position in the world by exporting its manufactured goods. However, the production services always require innovation to meet the ever-changing customer demands. With the advent of Industry 4.0, the manufacturing industry faces constant challenges such as the innovation capability of organizations, and swift and frequent shifts in the use of technology. These issues may hamper the efforts of manufacturing firms to fully participate in Industry 4.0 Malaysia. Therefore, the objective of this study is to identify the influence of knowledge-oriented leadership, electronic human resource management (E-HRM), and decentralised organisational structure on organizational innovation. The current research has adopted a quantitative method to establish the relationship between these three variables and innovation in organizations. A total of 218 samples were collected from manufacturing firms located in Malaysia. Data collected through a self-administered questionnaire was examined by using SmartPLS software. The results of this research has added to the body of knowledge in the respective field by highlighting the significance of knowledge-oriented leadership and E-HRM in predicting organizational innovation. It can further help stakeholders to plan a way forward in facing Industry 4.0 through the development of innovation competencies.


Author(s):  
Marcus Vinicius Gonçalves da Silva ◽  
Clarissa Figueredo Rocha

Purpose – This article aims to evaluate the maturity level of a Strategic Defense Company (EED), from the perspective of Industry 4.0 concepts. The EED are characterized by high technological training and the ability to supply Strategic Defense Products (PED) to the Brazilian Armed Forces. Theoretical framework – The term Industry 4.0 has become one of the most recurring topics for the global manufacturing sector and in the academic world (Kagermann et al., 2013), however, academic literature on this topic is still scarce (Qin, Liu & Grosvenor, 2016). One of the problems that stands out is the lack of empirical evidence on the impacts that technologies of Industry 4.0 can have on the operational performance of companies. Instead of this new trend being accepted as dogma, it is necessary to prove its effects on companies, empirically. In this context, this study seeks answers to the following research question: What is the maturity level of Industry 4.0 in Strategic Defense Companies? Methodology – The research is classified in bibliographic, qualitative and descriptive, and uses the survey developed by the IMPULS Foundation, german consulting company, translated and adapted for this study, in the case of the Brazilian Military Material Industry (IMBEL). Findings – The results reveal that the analyzed company has an intermediate maturity level, categorized as learner in an Industry 4.0 maturity model. Research, Practical & Social implications – The research contributes to the empirical development of a model and provides an instrument for analyzing the maturity of Industry 4.0 that can be used in companies from different sectors. Regarding research limitations, it is pointed out that the empirically evaluated data could be validated through descriptive statistics, which would certainly generate greater confidence in the results, however, the study should have a larger sample of participating companies, not being the subject of this study. Originality – One of the gaps in the study of Industry 4.0, in Brazil, is the absence of empirical evidence on the impacts of enabling technologies of this new paradigma, and how they can contribute to the performance of companies. In view of this new tendency, it is necessary to analyze its impacts on companies, seeking to relate the theoretical constructs developed and the reality observed in companies.


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