Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Development of an Assessment Model for Industry 4.0: Industry 4.0-MM
Date
2017-10-05
Author
Gökalp, Ebru
Şener, Umut
Eren, Pekin Erhan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
380
views
0
downloads
Cite This
The application of new technologies in the manufacturing environment is ushering a new era referred to as the 4th industrial revolution, and this digital transformation appeals to companies due to various competitive advantages it provides. Accordingly, there is a fundamental need for assisting companies in the transition to Industry 4.0 technologies/practices, and guiding them for improving their capabilities in a standardized, objective, and repeatable way. Maturity Models (MMs) aim to assist organizations by providing comprehensive guidance. Therefore, the literature is reviewed systematically with the aim of identifying existing studies related to MMs proposed in the context of Industry 4.0. Seven identified MMs are analyzed by comparing their characteristics of scope, purpose, completeness, clearness, and objectivity. It is concluded that none of them satisfies all expected criteria. In order to satisfy the need for a structured Industry 4.0 assessment/maturity model, SPICE-based Industry 4.0-MM is proposed in this study. Industry 4.0-MM has a holistic approach consisting of the assessment of process transformation, application management, data governance, asset management, and organizational alignment areas. The aim is to create a common base for performing an assessment of the establishment of Industry 4.0 technologies, and to guide companies towards achieving a higher maturity stage in order to maximize the economic benefits of Industry 4.0. Hence, Industry 4.0-MM provides standardization in continuous benchmarking and improvement of businesses in the manufacturing industry.
Subject Keywords
Industry 4.0
,
Industrial Internet of things
,
Maturity model
,
Assessment model
URI
https://hdl.handle.net/11511/31926
DOI
https://doi.org/10.1007/978-3-319-67383-7_10
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
Current Research Topics in Industry 4.0 and an Analysis ofProminent Architectural Frameworks
Kayabay, Kerem; Akyol, Mehmet Ali; Gökalp, Mert Onuralp; Koçyiğit, Altan; Eren, Pekin Erhan (2017-10-17)
Industry 4.0 sets new goals for manufacturing and impacts business outcomes. In the near future, ordinary plants will transform into smart factories in order to stay competitive in the marketplace. This transition has already started as manufacturing industry increasingly adopts advancing technologies including Internet of Things, Big Data, Cloud Computing, and Machine Learning. After presenting motivations and the enabler technology stack behind the nextindustrial revolutio...
A Case Study of Using Innovation Catcher as an Innovation Performance Assessment Framework for Housing Projects
Bilgin, Pınar; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2020-11-14)
The crucial role of innovation in improving or even maintaining the strategic position and competitive advantage of construction companies in a highly competitive industry is widely acknowledged. In this sense, construction companies are spending a substantial amount of money and time on innovation activities. However, an in-depth literature review showed that available innovation assessment frameworks are not capable of revealing the outputs of these investments and capturing the actual innovation performa...
Assessing Information Technology Use in Organizations: Developing a Framework
Sezgin, Emre; Özkan Yıldırım, Sevgi (2011-10-07)
Increasing use of current and developing information technologies (IT) within business and production processes is a required transformation to survive in the market. However. IT should be well-managed to be adapted by an organization as a whole. This study proposes a new model for the assessment of IT use in organizations. The aim is to assist decision making processes in information technology management through exploring strength and weaknesses of organization on IT tools and applications. The model has ...
ADOPTING AI TECHNIQUES IN ROBOTIC FABRICATION IN ARCHITECTURE: INTELLIGENT ROBOTIC BRICKLAYING USING REINFORCEMENT LEARNING ALGORITHMS
Maali Esfangareh, Alireza; Sorguç, Arzu; Department of Aerospace Engineering (2022-5-16)
Today, the Fourth Industrial Revolution is taking place and changing many industries and manufacturing methods to fulfill the tremendous global demand for different products and services using every available technological development. Moreover, in the context of Industry 4.0, one of the most critical challenges of Cyber-Physical Production is to have not only economically efficient but also adaptive and flexible production methods under different circumstances. However, by a simple investigation of the arc...
Analysis of industry 4.0 technologies’ adoption using interpretive structural modelling: empirical findings from manufacturing sector in Turkey
Öztürk, Ömer; Özkan Yıldırım, Sevgi; Department of Information Systems (2023-1)
Emerging disruptive technologies, especially big data, the internet of things (IoT), cloud, cyber-physical systems, and 3D printing technologies, led to the emergence of a new industrial era called industry 4.0. The concept of industry 4.0, which emerged at the technology fair held in Germany in 2011, has established its foundations on increasing productivity in the industry and the digitalization of systems. Although industry 4.0 technologies have various benefits for the manufacturing sector, various diff...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Gökalp, U. Şener, and P. E. Eren, “Development of an Assessment Model for Industry 4.0: Industry 4.0-MM,” 2017, vol. 770, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31926.