A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements

2019 ◽  
Vol 127 ◽  
pp. 925-953 ◽  
Author(s):  
E. Manavalan ◽  
K. Jayakrishna
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Sustainable Supply Chain

Framework for a sustainable supply chain to overcome risks in transition to a circular economy through Industry 4.0

2021 ◽  
pp. 1-16
Author(s):  
Yigit Kazancoglu ◽  
Yesim Deniz Ozkan-Ozen ◽  
Muhittin Sagnak ◽  
Ipek Kazancoglu ◽  
Manoj Dora
Keyword(s):  
Supply Chain ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Sustainable Supply Chain

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0

2019 ◽  
Vol 112 ◽  
pp. 103127 ◽  
Author(s):  
Celia Garrido-Hidalgo ◽  
Teresa Olivares ◽  
F. Javier Ramirez ◽  
Luis Roda-Sanchez
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
End To End

Scenario analysis of smart, sustainable supply chain on the basis of a fuzzy cognitive map

2019 ◽  
Vol 43 (4) ◽  
pp. 463-496 ◽  
Author(s):  
Sajjad Shokouhyar ◽  
Neda Pahlevani ◽  
Farhang Mir Mohammad Sadeghi
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Study Guides ◽  
Social Internet Of Things ◽  
Development Goals ◽  
Practical Implications

Purpose This paper aims to present a smart, sustainable supply chain practices structure on the basis of the relational view. Design/methodology/approach A method based on fuzzy cognitive map was applied to construct a relational map to introduce and implement such relational methods. Considering this relational map as a guideline, observations into particular methods and ways of applying relational methods to attain sustainable development goals across organizations has been introduced. Findings Primary outcomes provided a series of relational methods for the purpose of giving advice to those organizations and their suppliers for smart, sustainable supply chain. Reliance between relational methods were examined and assessed under seven meaningful groups: economic internet of things (IoT), green internet of things, social internet of things, economic supply chain, green supply chain, social supply chain and other variables. Practical implications This study guides managers toward an improved perception of the connection among IoT instances and sustainable supply to modeling smart, sustainable supply chain. Managers can determine the practices that need more focus along with the practices that are less relevant. Thus, this will help managers in the decision-making process and to organize their decisions by planning and calculating the relative importance and influence of smart, sustainable practices on each other and on the company’s smart, sustainable program. Originality/value To the best of the authors’ knowledge, this is the first approach that promptly examines and determines the interdependencies between relational methods and constructs a relational map for the purpose to introduce and analyze smart, sustainable supply chain.

Blockchain, Cybersecurity, and Industry 4.0

2021 ◽  
pp. 210-244
Author(s):  
Abhishek Bhattacharya
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Use Cases ◽  
Personal Lives ◽  
The World ◽  
Advanced Algorithm

The world is going digital, and the wave of automation is sweeping across all facets of our corporate and personal lives. Industry 4.0 is all about leveraging IoT (internet of things) devices to facilitate further the process of automation that helps all organisations to rapidly scale by leveraging technology. The amount of data and information generated by the connected things is being harnessed with the help of advanced algorithm empowered analytics to induce intelligence into all the actions undertaken for the functioning of these connected devices. This chapter is geared towards giving a representative outlook on the concepts of blockchain that see a base in the concepts of cybersecurity. Further to that, this chapter explores the very imminent use cases of what we call the Industry 4.0. This includes use cases from remmitance, insurance, governance, internet of things (IoT), and supply chain, including the kinds of challenges we currently face.

scholarly journals Critical review attacks and countermeasures in internet of things enabled environments

2018 ◽  
Vol 7 (2.7) ◽  
pp. 163 ◽  
Author(s):  
Mohan Kumar Ch ◽  
M Kameswara Rao
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Critical Review ◽  
Industry 4.0 ◽  
The Internet ◽  
Layer Model ◽  
Smart Transportation

Internet of Things (IoT) generally referred as Industry 4.0, Now a day’s Application Areas are everywhere like Smart Transportation, Smart Construction, Fitness monitoring, Energy Supervision, Construction managing, Environmental Supervise, Groceries supply chain. IoT has a compound network of smart nodes; information sending and receiving of nodes are through the Internet. In this process, it is vulnerable to attacks. In This paper, we review the possible attacks with respect to Cisco- Seven Layer model.

scholarly journals Towards Supply Chain Visibility Using Internet of Things: A Dyadic Analysis Review

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4158
Author(s):  
Shehzad Ahmed ◽  
Tahera Kalsoom ◽  
Naeem Ramzan ◽  
Zeeshan Pervez ◽  
Muhammad Azmat ◽  
...  
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Dyadic Analysis ◽  
Organisational Structure ◽  
Research Topics ◽  
Iot Applications ◽  
The Internet Of Things ◽  
Structured Literature Review

The Internet of Things (IoT) and its benefits and challenges are the most emergent research topics among academics and practitioners. With supply chains (SCs) gaining rapid complexity, having high supply chain visibility (SCV) would help companies ease the processes and reduce complexity by improving inaccuracies. Extant literature has given attention to the organisation’s capability to collect and evaluate information to balance between strategy and goals. The majority of studies focus on investigating IoT’s impact on different areas such as sustainability, organisational structure, lean manufacturing, product development, and strategic management. However, research investigating the relationships and impact of IoT on SCV is minimal. This study closes this gap using a structured literature review to critically analyse existing literature to synthesise the use of IoT applications in SCs to gain visibility, and the SC. We found key IoT technologies that help SCs gain visibility, and seven benefits and three key challenges of these technologies. We also found the concept of Supply 4.0 that grasps the element of Industry 4.0 within the SC context. This paper contributes by combining IoT application synthesis, enablers, and challenges in SCV by highlighting key IoT technologies used in the SCs to gain visibility. Finally, the authors propose an empirical research agenda to address the identified gaps.

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