Big Data and RFID in Supply Chain and Logistics Management

Big Data refers to complex and unstructured data that is difficult to analyse and utilize with traditional applications and analyses. Big Data comes from a variety of sources, including tracking and sensor devices which are widely used in logistics and supply chain management, and relate to Radio Frequency Identification (RFID) technology. Thus, this chapter reviews the literature on RFID adoption in supply chain/logistics management from 1995-2015. We identify current trends in the literature, drawing on the three levels of decision making, that is, strategic, tactical, and operational. We suggest that more research needs to be conducted with regards to the intangible benefits of RFID, the use of RFID big data for achieving higher performance, and to shift the focus from the ‘what' and the impacts on performance to the ‘how' and the ways RFID is adopted and assimilated in organizations and supply chains. Finally, the managerial implications of our review as well as the limitations and future research directions are outlined.

Download Full-text

Applying RFID Technology in Tourism Industry: The Case Study of Hotel in Taipei

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.630.439 ◽

2012 ◽

Vol 630 ◽

pp. 439-445 ◽

Cited By ~ 1

Author(s):

Te Fu Chen

Keyword(s):

Radio Frequency Identification ◽

Tourism Industry ◽

Future Research ◽

Rfid Technology ◽

Technology Application ◽

Wide Range ◽

Managerial Implications ◽

Frequency Identification ◽

Future Research Directions

The study analyzes Radio Frequency Identification (RFID) technology developments reported in tourism industries, methods used, contexts covered, and provides an overview of the wide range of ways that RFID is being applied to improve tourism processes in hotel. The study develops a research framework: RFID Technology Application Model and stresses that RFID application brings many benefits for hotel, the study summarizes their readiness on different attributes into the two approaches: operations-centric approach and technology-centric, and evaluates the major applications of the two approaches for the case study of hotel in Taipei. The findings show that different RFID applications in tourism industry lead the different benefits. The study offers hotel some managerial implications of how to gain benefits, and make suggestions for internal operating management, as well as recommendations for future research directions. It would be beneficial for future research to study similarities and differences in best practices for RFID implementations not only between different sectors within tourism, but also across industries.

Download Full-text

Big Data Analytics Driven Supply Chain Transformation

Advances in E-Business Research - Business Transformations in the Era of Digitalization ◽

10.4018/978-1-5225-7262-6.ch007 ◽

2019 ◽

pp. 106-124 ◽

Cited By ~ 2

Author(s):

Mondher Feki

Keyword(s):

Big Data ◽

Supply Chain ◽

Data Analytics ◽

Big Data Analytics ◽

Future Research ◽

Research Directions ◽

Digital Platforms ◽

New Frontier ◽

Future Research Directions ◽

Chain Transformation

Big data has emerged as the new frontier in supply chain management; however, few firms know how to embrace big data and capitalize on its value. The non-stop production of massive amounts of data on various digital platforms has prompted academics and practitioners to focus on the data economy. Companies must rethink how to harness big data and take full advantage of its possibilities. Big data analytics can help them in giving valuable insights. This chapter provides an overview of big data analytics use in the supply chain field and underlines its potential role in the supply chain transformation. The results show that big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive. These techniques influence supply chain processes and create business value. This study sets out future research directions.

Download Full-text

Research on RFID Application in the Food Supply Chain

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.253-255.1567 ◽

2012 ◽

Vol 253-255 ◽

pp. 1567-1570

Author(s):

Xiao Lin ◽

Wei Long Gao

Keyword(s):

Supply Chain ◽

Radio Frequency Identification ◽

Food Supply ◽

Future Research ◽

Food Supply Chain ◽

Food Supply Chains ◽

Critical Control Points ◽

Frequency Identification ◽

Global Food ◽

Global Food Supply

With the development of the information technology, Radio Frequency Identification (RFID) has become a hot topic in the fields of manufacturing and logistics. Meanwhile, food security becomes a worldwide problem. Food hazards can appear at any stage of global food supply chains, making it essential to define critical control points to capture the data about ingredients, manufacture and dates-certain, and provide it in a transparent manner to supply chain participants and consumers. In this article, I will analyze the current food supply chain situation and promote the literature review of RFID application in the food supply chain. And then the article will explore the questions and future research on RFID application in the food supply chain.

Download Full-text

Research on the Impact of Big Data on the Development of Supply Chain Logistics Management

E3S Web of Conferences ◽

10.1051/e3sconf/202125101039 ◽

2021 ◽

Vol 251 ◽

pp. 01039

Author(s):

Xinchun Wang ◽

Dan Zhang

Keyword(s):

Big Data ◽

Supply Chain ◽

Information Sharing ◽

Work Experience ◽

Price Competition ◽

Logistics Management ◽

High Tech ◽

Logistics System ◽

Supply Chain Logistics ◽

The Impact

In the era of big data, information sharing functions are of great significance. Moreover, under the effect of big data technology, information sharing can also avoid the problems of traditional supply chain logistics management, develop personalized service content for users, and fully control order risks. This article summarizes the current situation of traditional supply chain logistics services based on previous work experience. The author discusses the impact of big data on supply chain logistics management from how to improve the effect of high-tech management and control, how to shift from price competition to value competition, how to build a “big logistics” system, reduce logistics costs, strengthen distribution efficiency, and improve the stability of the enterprise, how to enhance the user service experience these all six aspects.

Download Full-text

Big Data Analytics Driven Supply Chain Transformation

10.4018/978-1-6684-3662-2.ch068 ◽

2022 ◽

pp. 1413-1432

Author(s):

Mondher Feki

Keyword(s):

Big Data ◽

Supply Chain ◽

Data Analytics ◽

Big Data Analytics ◽

Future Research ◽

Research Directions ◽

Digital Platforms ◽

New Frontier ◽

Future Research Directions ◽

Chain Transformation

Big data has emerged as the new frontier in supply chain management; however, few firms know how to embrace big data and capitalize on its value. The non-stop production of massive amounts of data on various digital platforms has prompted academics and practitioners to focus on the data economy. Companies must rethink how to harness big data and take full advantage of its possibilities. Big data analytics can help them in giving valuable insights. This chapter provides an overview of big data analytics use in the supply chain field and underlines its potential role in the supply chain transformation. The results show that big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive. These techniques influence supply chain processes and create business value. This study sets out future research directions.

Download Full-text

Impact Of Radio Frequency Identification (RFID) Technology On Logistics And Sopply Chain Efficiency

Restaurant Business ◽

10.26643/rb.v118i9.8650 ◽

2019 ◽

Vol 118 (9) ◽

pp. 435-444

Author(s):

Kalidhasan. M ◽

Dr. P. Rajan Chinna ◽

Srinivasan.K

Keyword(s):

Supply Chain ◽

Radio Frequency Identification ◽

Application Framework ◽

Scientific Article ◽

Rfid Technology ◽

Application System ◽

Supply Chain Logistics ◽

Research Findings ◽

Frequency Identification ◽

And Function

Technology is providing companies with ways to become faster and more efficient in all areas of the supply chain influence and function of RFID in supply chain logistics management, analyzes the technological blessings of applying RFID and establishes a RFID application framework in provision chain management in keeping with the characteristics of RFID itself and provision industrial; so as to solve the matter of data distribution and group effort among several enterprises in a number of fields, this paper proposes RFID application system based on Web Service-based distribution and states intimately on the conclusion of the system. To investigate however RFID technology has brought a bearing to storage, a comprehensive analysis of research findings available through leading scientific article databases was conducted.

Download Full-text

Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

Sustainability ◽

10.3390/su12104108 ◽

2020 ◽

Vol 12 (10) ◽

pp. 4108 ◽

Cited By ~ 2

Author(s):

Ricardo Chalmeta ◽

Nestor J. Santos-deLeón

Keyword(s):

Big Data ◽

Supply Chain ◽

Industry 4.0 ◽

Future Research ◽

Sustainable Supply Chain ◽

Research Directions ◽

Systematic Analysis ◽

Different Types ◽

Future Research Directions ◽

Insight Into

Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of research. This paper reviews the literature on sustainability, Big Data, Industry 4.0 and supply chain management published since 2009 and provides a thorough insight into the field by using bibliometric and network analysis techniques. A total of 87 articles published in the past 10 years were evaluated and the top contributing authors, countries, and key research topics were identified. Furthermore, the most influential works based on citations and PageRank were obtained and compared. Finally, six research categories were proposed in which scholars could be encouraged to expand Big Data and Industry 4.0 research on SCS. This paper contributes to the literature on SCS in the age of Industry 4.0 by discussing the challenges facing current research but also, more importantly, by identifying and proposing these six research categories and future research directions.

Download Full-text

The Role of Big Data Predictive Analytics Acceptance and Radio Frequency Identification Acceptance in Supply Chain Performance

International Conference on Innovative Computing and Communications - Lecture Notes in Networks and Systems ◽

10.1007/978-981-13-2354-6_8 ◽

2018 ◽

pp. 65-72 ◽

Cited By ~ 2

Author(s):

Muhammad Nouman Shafique ◽

Haji Rahman ◽

Hussain Ahmad

Keyword(s):

Big Data ◽

Supply Chain ◽

Radio Frequency ◽

Radio Frequency Identification ◽

Predictive Analytics ◽

Supply Chain Performance ◽

Frequency Identification

Download Full-text

Object Analysis with Visual Sensors and RFID

Chipless and Conventional Radio Frequency Identification ◽

10.4018/978-1-4666-1616-5.ch012 ◽

2012 ◽

pp. 234-250 ◽

Cited By ~ 1

Author(s):

Gour Karmakar ◽

Laurence S. Dooley ◽

Nemai Chandra Karmakar ◽

Joarder Kamruzzaman

Keyword(s):

Computer Vision ◽

Radio Frequency Identification ◽

Vision Research ◽

Object Representation ◽

Future Research ◽

Visual Sensors ◽

Fundamental Limitations ◽

Frequency Identification ◽

Future Research Directions ◽

Computer Vision Applications

Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.

Download Full-text