Complexity in manufacturing systems: a literature review

2021 ◽  
Author(s):  
Germán Herrera Vidal ◽  
Jairo Rafael Coronado Hernández
Keyword(s):  
Literature Review ◽  
Manufacturing Systems

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

scholarly journals Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

2020 ◽  
Vol 10 (8) ◽  
pp. 2897
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Adele Parmentola
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Manufacturing Systems ◽  
Business Models ◽  
New Technologies ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Digital Innovation ◽  
Smart Manufacturing Systems

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.

scholarly journals A literature review of optimization problems for reconfigurable manufacturing systems

2019 ◽  
Vol 52 (13) ◽  
pp. 433-438 ◽  
Author(s):  
Nadjib Brahimi ◽  
Alexandre Dolgui ◽  
Evgeny Gurevsky ◽  
Abdelkrim R. Yelles-Chaouche
Keyword(s):  
Literature Review ◽  
Manufacturing Systems ◽  
Optimization Problems ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing

scholarly journals Inventory management in Manufacturing Systems: A Literature Review

2019 ◽  
Vol 13 (12) ◽  
pp. 1-13
Author(s):  
German Herrera Vidal1 ◽  
Dayrene Junco Villadiego ◽  
Margarita Mancebo Calle ◽  
◽  
◽  
...  
Keyword(s):  
Literature Review ◽  
Inventory Management ◽  
Manufacturing Systems

scholarly journals Complexity in manufacturing systems and its measures: a literature review

2018 ◽  
Vol 12 (1) ◽  
pp. 116 ◽  
Author(s):  
Bugra Alkan ◽  
Daniel A. Vera ◽  
Mussawar Ahmad ◽  
Bilal Ahmad ◽  
Robert Harrison
Keyword(s):  
Literature Review ◽  
Manufacturing Systems

scholarly journals Scheduling in cloud manufacturing systems: Recent systematic literature review

2020 ◽  
Vol 17 (6) ◽  
pp. 7378-7397
Author(s):  
Agustín Halty ◽  
◽  
Rodrigo Sánchez ◽  
Valentín Vázquez ◽  
Víctor Viana ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Manufacturing Systems ◽  
Cloud Manufacturing

scholarly journals Optimization of Reconfigurable Manufacturing Systems Configuration: A Literature Review

2021 ◽  
pp. 426-435
Author(s):  
Rachel Campos Sabioni ◽  
Joanna Daaboul ◽  
Julien Le Duigou
Keyword(s):  
Literature Review ◽  
Manufacturing Systems ◽  
Optimization Problems ◽  
Production Capacity ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Combinatorial Optimization Problems ◽  
Current Context ◽  
Market Instability ◽  
New Research

AbstractReconfigurable Manufacturing Systems (RMS) have gained importance in the current context of increasing high variety demand, Mass Customization (MC) and market instability, due to their ability of being quickly modified to adjust their production capacity to attain sudden fluctuations in market demands as well as to accommodate operations of new products. RMS can be configured at system and machine levels. Many papers have described the RMS configuration as combinatorial optimization problems and proposed several techniques to optimize them in terms of different responses of interest. This paper presents a literature review that seeks to understand how RMS configuration has been addressed in terms of configuration level, optimization problem modelling and techniques applied to solve it. This work aims to assist researchers working on RMS configuration to identify trends and new research opportunities.

Sign in / Sign up

Export Citation Format

Share Document