Application of Analytics in Supply Chain Management from Industry and Academic Perspective

2021 ◽  
pp. 231971452110280
Author(s):  
Anup Kumar ◽  
Santosh Kumar Shrivastav ◽  
Sarbjit Singh Oberoi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
Data Availability ◽  
Chain Management ◽  
Prescriptive Analytics ◽  
Ict Adoption ◽  
Future Supply ◽  
Information And Communication

Information and communication technology (ICT) has been the backbone of businesses for some time now. ICT adoption has rendered data availability in vertically connected organizations. In recent times, the rise of analytics has paved the way to rethink the structure and working of vertically connected firms within a supply chain. Big data analytics (BDA) for instance, has become a prominent tool to analyse unstructured data. This study explores the application and benefit of various types of analytics such as descriptive analytics, predictive analytics and prescriptive analytics in the process of supply chain management (SCM). Additionally, the study also looks at ways by which analytics could integrally be included within the SCM curriculum in higher education to prepare future supply chain analyst. Notably, the article is positioned for bridging the gap between the use of analytics in SCM, both from academia and the industry perspective.

How Supply Chain Management Will Change in the Industry 4.0 Era?

2020 ◽  
pp. 154-174
Author(s):  
Emre Aslan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Driving Forces ◽  
Big Data Analytics ◽  
Time Data ◽  
Chain Management ◽  
Information And Communication

Enabled by some maturated technologies in the last decades, a new industrial revolution is predicted to arise that not only affects manufacturing or industry, but many fields of life. It is named the Fourth Industrial Revolution or Industry 4.0. The triggering technologies, concepts, or driving forces mentioned with Industry 4.0 are cyber-physical systems, vertical and horizontal integration, augmented reality, internet of things, internet of services, additive manufacturing and 3D Printers, big data analytics, cloud computing, cybersecurity. Through Industry 4.0, production activities will be made by automatic machines and robot communicating each other. Supply chains will be more integrated due to information and communication technologies based on real-time data sharing. The purpose of this study is to examine the effects of Industry 4.0 on supply chain management. For this purpose, literature is reviewed according to effects of Industry 4.0 on procurement, production, warehousing, transportation, and fulfillment functions of supply chain management.

How Supply Chain Management Will Change in the Industry 4.0 Era?

2021 ◽  
pp. 1015-1035
Author(s):  
Emre Aslan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Driving Forces ◽  
Big Data Analytics ◽  
Time Data ◽  
Chain Management ◽  
Information And Communication

Enabled by some maturated technologies in the last decades, a new industrial revolution is predicted to arise that not only affects manufacturing or industry, but many fields of life. It is named the Fourth Industrial Revolution or Industry 4.0. The triggering technologies, concepts, or driving forces mentioned with Industry 4.0 are cyber-physical systems, vertical and horizontal integration, augmented reality, internet of things, internet of services, additive manufacturing and 3D Printers, big data analytics, cloud computing, cybersecurity. Through Industry 4.0, production activities will be made by automatic machines and robot communicating each other. Supply chains will be more integrated due to information and communication technologies based on real-time data sharing. The purpose of this study is to examine the effects of Industry 4.0 on supply chain management. For this purpose, literature is reviewed according to effects of Industry 4.0 on procurement, production, warehousing, transportation, and fulfillment functions of supply chain management.

Big Data Analytics in the Agribusiness Supply Chain Management

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation Model ◽  
Inventory Management ◽  
Latent Variables ◽  
Structural Equation ◽  
Big Data Analytics ◽  
Equation Model ◽  
Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

Adoption of Big Data Analytics in Supply Chain Management

2021 ◽  
Vol 14 (2) ◽  
pp. 88-107
Author(s):  
Amin Khalil Alsadi ◽  
Thamir Hamad Alaskar ◽  
Karim Mezghani
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Top Management ◽  
Management Support ◽  
Chain Management ◽  
Top Management Support ◽  
Intention To Adopt

Supported by the literature on big data, supply chain management (SCM), and resource-based theory (RBT), this study aims to evaluate the organizational variables that influence the intention of Saudi SCM professionals to adopt big data analytics (BDA) in SCM. A survey of 220 supply chain respondents revealed that both top management support and data-driven culture have a high significant influence on their intention to adopt BDA. However, the firm entrepreneurial orientation showed no significant effect. Also, the findings revealed that supply chain connectivity positively moderates the link between top management support and intention. This study contributes to the practical field, offering valuable insights for decision makers considering BDA adoption in SCM. It also contributes to the literature by helping minimize the research gap in BDA adoption in the Saudi context.

Big Data and Cloud Computing

2018 ◽  
pp. 1-28 ◽  
Author(s):  
Marcus Tanque ◽  
Harry J Foxwell
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Large Scale ◽  
Big Data Analytics ◽  
Chain Management ◽  
Computing Services ◽  
Cloud Computing Services

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.

Big Data Analytics in Supply Chain Management

2021 ◽  
pp. 2443-2457
Author(s):  
Nenad Stefanovic
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
Current Approach ◽  
Data Systems ◽  
Chain Management ◽  
Big Data Systems

The current approach to supply chain intelligence has some fundamental challenges when confronted with the scale and characteristics of big data. In this chapter, applications, challenges and new trends in supply chain big data analytics are discussed and background research of big data initiatives related to supply chain management is provided. The methodology and the unified model for supply chain big data analytics which comprises the whole business intelligence (data science) lifecycle is described. It enables creation of the next-generation cloud-based big data systems that can create strategic value and improve performance of supply chains. Finally, example of supply chain big data solution that illustrates applicability and effectiveness of the model is presented.

Industry 4.0 and Supply Chain Management

2021 ◽  
pp. 192-217
Author(s):  
Pavitra Dhamija ◽  
Monica Bedi ◽  
M.L. Gupta
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Industry 4.0 ◽  
Predictive Analytics ◽  
Statistical Tools ◽  
Chain Management ◽  
Managerial Attention ◽  
Manufacturing Organizations ◽  
Developmental Opportunities

The association of Industry 4.0 and supply chain management assures tremendous growth and developmental opportunities towards manufacturing organizations. The two aspects (Industry 4.0 and supply chain management) are one of the most opted choices for research among academicians and researchers. The study in question accommodates 884 papers from past 10 years, which contributes towards Industry 4.0, supply chain management, cyber-physical systems, digitization, Internet of Things, and Big Data predictive analytics. The statistical tools include BibExcel and Gephi for bibliometric and network analysis. The results are presented in the form of top contributing authors, keywords, and citations. The article also shares a conceptual model based on the review of studies. The findings will help managers or officials to understand the importance of Industry 4.0 and its association with supply chain management. The formed clusters and their associations are providing new areas that require managerial attention. The article ends while discussing the current and future scope of research.

Demystifying the Power of Blockchain Technology in Supply Chain Management

2020 ◽  
Vol 11 (4) ◽  
pp. 38-53
Author(s):  
Robin Singh Bhadoria ◽  
Neha Sharma ◽  
Manish Kumar Pandey
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Systems ◽  
Supply Chain Network ◽  
Critical System ◽  
Chain Management ◽  
Blockchain Technology ◽  
Management Objectives ◽  
Future Supply ◽  
The Impact

Modern supply chain management systems have evolved into a complex and critical system. Thus, it has grown more interesting to verify the source of products and its visibility as it is moving through the supply chain network. The application of blockchain technology and Internet of Things (IoT) are likely to affect the supply chain management objectives such as cost, quality, speed, dependability, risk reduction, sustainability, and flexibility. This paper presented the concept of how blockchain technology and IoT can help to achieve supply chain objectives. This research focuses on the impact of blockchain on current and future supply chain management systems.

E-Com Supply Chain and SMEs

2007 ◽  
pp. 34-53
Author(s):  
R. Craig
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Chain Management ◽  
Starting Point ◽  
Information And Communication

This chapter considers the perspective of small and medium-sized enterprises (SMEs) in supply chains. It starts with an overview of the important role of SMEs in national and world economies. Following this is an overview of supply chains, information and communication technologies, and e-business. Both opportunities and challenges for supply chains in general and SMEs in particular are considered, and conclusions drawn. The major contribution of the chapter is in providing an extensive overview of the literature as it relates to information and communication technologies, supply chain management, and SMEs, providing researchers and practitioners with a starting point to look for further information as needed.

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