scholarly journals Logistics and Supply Chain Engineering: Perspectives on Paperless System for Highway Automatic Tollgate (HAT) through Industry 4.0. in Indonesia

2020 ◽  
Author(s):  
Gatot Suharjanto ◽  
Khristian Edi Nugroho Soebandrija
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Product Design ◽  
Industry 4.0 ◽  
Big Data Analytics ◽  
Future Research ◽  
Internet Of Everything ◽  
Industrial Implementation ◽  
Theoretical Perspectives

This paper elaborates discourse on Highway Automatic Tollgate (HAT) within logistics and supply chain engineering perspectives. The aforementioned HAT and its implementation are complying with the Product Design Engineering’s perspectives within theoretical and industrial implementation through Industry 4.0 in Indonesia. The objective of this paper is to intertwine the theoretical perspectives with industrial implementation. The industrial implementation constitutes the effort to implement paperless system for HAT in order to reduce wasted papers that are necessarily needed by user of this HAT, as transaction proof. The result and discussion of this paper comprise several discussions to be considered. To begin with, the result of this paperless system helps the cleaning service officers to reduce their cleaning duty. Furthermore, the result of this paperless system integrates the concept of industry 4.0 within scope of internet of things (IoT) and internet of everything (IoE). Subsequently, the discussion on this paper refers to the discourse on logistics and supply chain engineering perspectives, to ease the transaction proof involving big data. As a result, it reduces significantly the vehicle traffic and time needed to proceed to transaction in the aforementioned HAT. This paper refers to the research methodology within quantitative approach. As future research, it is indispensable to intertwine both aforementioned theoretical and industrial implementation. Both implementation, as future research, need to be integrated within the Asia Region. Keywords: big data analytics; internet of things; making Indonesia 4.0; paperless mechanism; product design engineering

Big Data Analytics Driven Supply Chain Transformation

2019 ◽  
pp. 106-124 ◽  
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.

scholarly journals Eco-Innovation and Industry 4.0: A Big Data Usage conceptual model

2018 ◽  
Vol 56 ◽  
pp. 05003 ◽  
Author(s):  
Russell Tatenda Munodawafa ◽  
Satirenjit Kaur Johl
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Digital Economy ◽  
Future Research ◽  
New Era ◽  
Data Usage ◽  
The World ◽  
Development Goals

Driven by Cyber Physical Systems, Big Data Analytics, Internet of Things and Automation, Industry 4.0 is expected to revolutionize the world. A new era beckons for enterprises of all sizes, markets, governments, and the world at large as the digital economy fully takes off under Industry 4.0. The United Nations has also expressed its desire to usher in a new era for humanity with the Sustainable Development Goals 2030 (SDG’s) replacing the Millennial Development Goals (MDG’s). Critical to the achievement of both of the above-mentioned ambitions is the efficient and sustainable use of natural resources. Big Data Analytics, an important arm of Industry 4.0, gives organizations the ability to eco-innovate from a resource perspective. This paper conducts an analysis of previously published research literature and contributes to this emerging research area looking at Big Data Usage from a strategic and organizational perspective. A conceptual framework that can be utilized in future research is developed from the literature. Also discussed is the expected impact of Big Data Usage towards firm performance, particularly as the world becomes more concerned about the environment. Data driven eco-innovation should be in full motion if organizations are to remain relevant in tomorrow’s potentially ultra-competitive digital economy.

scholarly journals Supply Chain 4.0 challenges

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Felipe de Campos Martins ◽  
Alexandre Tadeu Simon ◽  
Renan Stenico de Campos
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Legal Challenges ◽  
New Industry

Abstract: The Supply Chain has undergone major transformations due to the need to implement new Industry 4.0 technologies, such as Internet of Things, Big Data, Cyber-Physical Systems and Cloud Computing. Thanks to these technologies, as well as to their subsystems and components, full integration of the supply chain is becoming possible. However, it is observed that the real impacts of Industry 4.0 technologies, rather positive or negative, are not yet totally clear and identified. This paper aims to identify and present an analysis of the challenges and obstacles that Industry 4.0 technologies may cause in the Supply Chain. For this, the most relevant papers on the topic were selected and analyzed through a systematic literature review. Twenty challenges grouped into four macrogroups were identified: (1) technical challenges, (2) financial, environmental and legal challenges, (3) technological challenges, and (4) sociocultural challenges. It should be noted that these challenges require greater attention and more in-depth studies on the part of the academy to support industry in order to mitigate them and thus allow better use of the available technological resources and optimize the performance of Supply Chain operations.

Big Data Analytics Driven Supply Chain Transformation

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.

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

2020 ◽  
Vol 12 (10) ◽  
pp. 4108 ◽  
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.

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