Risk Resilient Supply Chain Management using IoT and Big Data Analytics

被引：2

作者：

Gupta, Kamal ^{[1
]}

Sinha, Bineet ^{[2
]}

Gupta, Bhoomi ^{[3
]}

机构：

[1] MVN Univ, Aurangabad, Haryana, India

[2] MVN Univ, SBMC, Aurangabad, Haryana, India

[3] Maharaja Agrasen Inst Technol, Delhi, India

来源：

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES | 2019年 / 14卷 / 01期

关键词：

SCM; Internet of Things (IoT); Data Analytics;

D O I：

10.26782/jmcms.2019.02.00030

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

In the context of Supply Chain Management (SCM), Internet of Things (IoT) and Big Data Analytics (BDA) play a significant role in the evolution and success of a data intensive application and its respective security concerns. The aim of the research is to assess the suitability of IoT and BDA to strengthen and enhance SCM network. There have been independent research on IoT and Big Data in this domain; however no conclusive systematic study has been done to gather knowledge and expertise in analysis of SCM with respect to a combined application of IoT and big data analytics. The research in the literature has been put to documentation and recommendations for practitioners of SCM in industry have been addressed for future scope of IoT and data analysis.

引用

页码：422 / 431

页数：10

共 50 条

[31] Predictive Modelling and Analytics on Big Data for Diabetic Management [J].

Sujatha, V ;

Dharan, Dharani, V .

2017 2ND WORLD CONGRESS ON COMPUTING AND COMMUNICATION TECHNOLOGIES (WCCCT), 2017, :80-83

[32] Big Data analytics and facilities management: a case study [J].

Yang, Eunhwa ;

Bayapu, Ipsitha .

FACILITIES, 2020, 38 (3/4) :268-281

[33] A data mining-based framework for supply chain risk management [J].

Kara, Merve Er ;

Firat, Seniye Umit Oktay ;

Ghadge, Abhijeet .

COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 139

[34] Aligning Data Analytics and Supply Chain Strategy in the Biopharmaceutical Industry [J].

Holder, Mark ;

Devpura, Amit ;

Lee, Anthony ;

Chandran, Suresh .

ALIGNING BUSINESS STRATEGIES AND ANALYTICS: BRIDGING BETWEEN THEORY AND PRACTICE, 2019, :67-78

[35] Digitalizing procurement: the impact of data analytics on supply chain performance [J].

Hallikas, Jukka ;

Immonen, Mika ;

Brax, Saara .

SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2021, 26 (05) :629-646

[36] Supply Chain Data Analytics for Digital Twins: A Comprehensive Framework [J].

Xiros, Vasileios ;

Castro, Jose M. Gonzalez ;

Fernandez-Pelaez, Francisco ;

Magoutas, Babis ;

Christidis, Konstantinos .

APPLIED SCIENCES-BASEL, 2025, 15 (12)

[37] IoT research in supply chain management and logistics: A bibliometric analysis using vosviewer software [J].

Katoch, Rupinder .

MATERIALS TODAY-PROCEEDINGS, 2022, 56 :2505-2515

[38] Implementation of Supply Chain Management System to Prevent Counterfeit Using IoT device and Blockchain [J].

Oi, Shunpei ;

Kaneda, Kitahiro ;

Iwamura, Keiichi .

2022 2ND INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ROBOTICS (ICIPROB), 2022,

[39] Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM) [J].

Bi, Zhuming ;

Jin, Yan ;

Maropoulos, Paul ;

Zhang, Wen-Jun ;

Wang, Lihui .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (12) :4004-4021

[40] Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing [J].

Alshammari, Hamoud ;

Abd El-Ghany, Sameh ;

Shehab, Abdulaziz .

JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2020, 16 (06) :1238-1249

← 1 2 3 4 5 →