scholarly journals Towards a Smart Manufacturing Maturity Model for SMEs (SM3E)

2018 ◽  
pp. 155-163 ◽  
Author(s):  
Sameer Mittal ◽  
David Romero ◽  
Thorsten Wuest
Keyword(s):  
Smart Manufacturing ◽  
Maturity Model

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
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Oil And Gas ◽  
Manufacturing Sector ◽  
Transition Process ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Business Organizations ◽  
Initial State ◽  
Maturity Models

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.

scholarly journals Project-based maturity assessment model for smart transformation in Taiwanese enterprises

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254522
Author(s):  
Tzu-Chieh Lin ◽  
Kung Jeng Wang
Keyword(s):  
Project Management ◽  
Management Strategies ◽  
Assessment Model ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Maturity Level ◽  
Implementation Barriers ◽  
External Resources ◽  
Maturity Assessment ◽  
Using Data

As smart technology proliferates, enterprises must engage not only in the transformation of intelligence but contend with pressure do so as soon as possible. Smart transformation is critical for manufacturing enterprises in the development of smart manufacturing. This study addressed the gap between maturity models and project management by designing an effective assessment framework for smart transformation. It adopts the Smart Industry Readiness Index, created by the Singapore Economic Development Board, as a maturity assessment model to analyze enterprises’ smart transformation and formulate project management strategies. Enterprises can use this model to examine the maturity level of their transformation and assess scope for improvement in their project strategies and implementation barriers. This study focuses on Taiwanese enterprises using data collected from 165 valid questionnaires and subjected to a cluster analysis. Enterprises were divided into three categories. The results reveal that, first, most enterprises’ smart transformation is at an immature or medium-maturity level, and is therefore amenable to further improvement. Second, inconsistent with research findings, many enterprises invest in transformation projects but fail to advance these projects to maturity. Third, most enterprises’ project management plans fail to meet actual transformation needs. Using the thematically oriented maturity model proposed in this study, Taiwanese enterprises can effectively evaluate the maturity of their transformation projects. In conclusion, the study highlights that Taiwanese enterprises must identify more effective external resources to strengthen their competitiveness.

scholarly journals Conceptualizing Smart Manufacturing Readiness-Maturity Model for Small and Medium Enterprise (SME) in Malaysia

2021 ◽  
Vol 13 (17) ◽  
pp. 9793
Author(s):  
Syed Radzi Bin Rahamaddulla ◽  
Zulkiflle Leman ◽  
B. T. Hang Tuah Bin Baharudin ◽  
Siti Azfanizam Ahmad
Keyword(s):  
Industry 4.0 ◽  
Multinational Enterprise ◽  
Assessment Model ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Model Framework ◽  
Readiness Assessment ◽  
Small And Medium Enterprise ◽  
Medium Enterprise ◽  
Manufacturing Readiness

Manufacturing enterprises today are forced to face radical challenges in the disruptive concepts of Smart Manufacturing (SM) and Industry 4.0 to stay competitive. Most Multinational Enterprise (MNEs) have initiated their journey towards adopting SM. As a mainspring of many manufacturing economies, Small and Medium-Enterprise (SMEs) are still struggling to understand the complexity offered in SM, and many of them are not ready to embrace the concept of SM. To overcome this, SMEs first need to assess their readiness and maturity before embarking on an SM journey. The existing available readiness assessment model seems to be suitable for MNEs, and there is still a lack of tailored models that suit SMEs. This paper sought to pinpoint the conceptual framework from the review of the existing readiness-maturity assessment and identify the gap of existing model as well as proposed a tailored model framework that are suitable for SMEs. Ultimately, this model will be used to pursue a comprehensive scholarly study across Malaysia. The proposed model is enhanced with 4M attributes as the dimension and embedded with the characteristic of Industry 4.0 build component to help the SME’s overcome the possible uncertainties in adopting SM concept.

scholarly journals Smart SMEs 4.0 Maturity Model to Evaluate the Readiness of SMEs Implementing Industry 4.0

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Nilubon Chonsawat ◽  
Apichat Sopadang
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Advanced Technology ◽  
Smart Manufacturing ◽  
Advanced Manufacturing ◽  
Maturity Model ◽  
Five Dimensions ◽  
Physical Systems ◽  
Increase Productivity ◽  
The Internet Of Things

In the Industry 4.0 revolution, advanced manufacturing capabilities integrate technology and data to create intelligent production systems, such as automation, cloud computing, the Internet of Things and cyber-physical systems. Small and medium-sized enterprises, which are the backbone of economic growth, especially must apply the advanced technology in their business and operations so as to increase productivity. This paper empirically proposes the Smart SMEs 4.0 maturity model and its implementation for assessing the readiness of an organisation to enter the realm of smart manufacturing. The model is categorised into five dimensions as well as 43 sub-dimensions for evaluating SMEs 4.0 maturity. These dimensions are mainly composed of “manufacturing and operations”, “people capability”, “technology-driven process”, “digital support” and “business and organisation strategies”. Moreover, the model is implemented in two case studies for two companies in Thailand. The results imply that the model can evaluate an organisation’s readiness and also can guide companies to implement the Smart SMEs 4.0 efficiently.

Establishment of a maturity model to assess the development of industrial AI in smart manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenting Chen ◽  
Caihua Liu ◽  
Fei Xing ◽  
Guochao Peng ◽  
Xi Yang
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Firms ◽  
Smart Manufacturing ◽  
Maturity Model ◽  
Structured Interviews ◽  
Maturity Models ◽  
Content Type ◽  
Domain Experts ◽  
Road Map ◽  
Industrial Context

PurposeThe benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to enable companies to understand where they are and plan where they should go. The purpose of this study is to propose a comprehensive maturity model in order to help manufacturing firms assess their performance in the I-AI journey, shed lights on future improvement, and eventually realize their smart manufacturing visions.Design/methodology/approachThis study is based on (1) a systematic review of literature on assessing I-AI-related technologies to identify relevant measured indicators in the maturity model, and (2) semi-structured interviews with domain experts to determine maturity levels of the established model.FindingsThe I-AI maturity model developed in this study includes two main dimensions, namely “Industry” and “Artificial Intelligence”, together with 12 first-level indicators and 35 second-level indicators under these dimensions. The maturity levels are divided into five types: planning level, specification level, integration level, optimization level, and leading level.Originality/valueThe maturity model integrates indicators that can be used to assess AI-related technologies and extend the existing maturity models of smart manufacturing by adding specific technical and nontechnical capabilities of these technologies applied in the industrial context. The integration of the industry and artificial intelligence dimensions with the maturity levels shows a road map to improve the capability of applying AI-related technologies throughout the product lifecycle for achieving smart manufacturing.

Assessing The COBIT Maturity Model in Manufacturing Company

2019 ◽  
Vol 5 (2) ◽  
pp. 109-115
Author(s):  
Johanes Fernandes Andry ◽  
Gunawan Wang ◽  
Gusti Ngurah Suryantara ◽  
Devi Yurisca Bernanda
Keyword(s):  
Information Systems ◽  
Business Processes ◽  
Standard Procedure ◽  
It Governance ◽  
Maturity Model ◽  
Maturity Level ◽  
It Alignment ◽  
Business Goals ◽  
Manufacturing Company ◽  
Effectiveness And Efficiency

PT Hema Indonesia is manufacturing company established in 2001 and has continued to grow. Nowadays the company has supported business processes in various companies, such as the use of information systems. The purpose of this research is to get an overview of the performance of information systems in order to determine the extent of maturity level which is currently running, with a few aspects to consider such as effectiveness and, efficiency. Implementing IT governance, however, is a challenge to organizations. To ensure IT alignment with business goals use standard COBIT. The analytical tool used is the standard procedure COBIT issued by ISACA. In this paper the method to be used is COBIT 4.1. Coverage of Audit IT Domain are Plan Organize (PO), such as PO4, PO5, PO7 and PO8. The conclusion that can be drawn from the research that has been done is IT governance at the company has been done, although still run optimally within each IT process contained in the sub domain average on level repeatable and defined proses.

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