Cloud computing in optimizing supply chain management of automotive component industry

2017 ◽  
Author(s):  
Artus Krohn-Grimberghe ◽  
Akriti Gupta ◽  
Aman Chadha ◽  
Ranjana Vyas
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Automotive Component ◽  
Automotive Component Industry

scholarly journals A Proposed Supply Chain Model of Blockchain Technology-Based in Automotive Component Industry

2020 ◽  
Vol 8 (5) ◽  
pp. 3110-3114
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Process Technology ◽  
Chain Management ◽  
Automotive Component ◽  
Automotive Components ◽  
Blockchain Technology ◽  
Automotive Component Industry ◽  
Inbound Logistics

The automotive industry has rapidly developed and overrun the market for the last decade. In this context, automotive components or parts are essential factors to manufacture automotive products. Undoubtedly, the supplier that provides the automotive components or inbound logistics becomes a critical party of Supply Chain Management activity. In this frame, the failure of inbound logistics potentially creates a severe implication to the automotive industry in terms of the financial effects, company image to damage the customer. Arguably, the supplier activities encompass the continuity of automotive components delivery, on-time delivery schedule, supplier and customer relationship maintenance, and financial operation. In this point, the problem identifies the distribution of automotive components and stock maintenance. Therefore, this qualitative research is essential to explore a proposed Blockchain Technology model in Supply Chain Management (BlcSCM), especially in the automotive component industry. On that basis, design science research methodology facilitates to create a proposed model, Leavitt Diamond. In this model, the essential factors (people, process, technology, and organization) merges with supply chain management. Finally, it refers to the Blockchain Technology model in Supply Chain Management.

scholarly journals Entrepreneurial networking in supply chain relationships in the automotive component industry

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
R. C. O’Neill ◽  
M. J. Naude
Keyword(s):  
South Africa ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Global Market ◽  
Theoretical Base ◽  
Chain Management ◽  
Automotive Component ◽  
Supply Chain Relationships ◽  
Automotive Component Industry ◽  
Entrepreneurial Networking

Purpose: The point of departure in this article is that the principles that underpin entrepreneurial networking also apply to the establishment of supply chain relationships. The theoretical base for the need for entrepreneurial networking can be found in Kirzner's theory of entrepreneurship that argued that entrepreneurs identify and act upon profit opportunities that exist in disequilibrium in order to equilibrate the economy. Problem investigated: This article explores the possibility of implementing entrepreneurial networking in supply chain relationships in the automotive component industry. Methodology: Kirzner's theory is used as a theoretical base to support the case for the development of supply chain relationships. The literature with regard to supply chain management and its relevance to entrepreneurial networking is first dealt with. The case for implementing entrepreneurial networking to strengthen supply chain relationships in the automotive component industry in South Africa is then presented.Findings: The findings of this article indicate that the principles underlying entrepreneurial networking could be applied to supply chain relationships in the automotive component industry in South Africa. The argument is mainly based on the sustainability and profitability potential of entrepreneurial networking and the similarities that exist between entrepreneurial networking and supply chain management relationships. Originality: This research is original as it explores the possibility that the principles that underpin entrepreneurial networking also apply to the establishment of supply chain relationships in the automotive component industry. Furthermore, there is a need for published research in South Africa on supply chain management, particularly relationships within the supply chain.Conclusion: Based on the sustainability and profitability potential of entrepreneurial networking and the similarities that exist between entrepreneurial networking and supply chain relationships, the principles underlying entrepreneurial networking can be applied to supply chain relationships in the automotive component industry in South Africa. The unique challenges facing this industry in the current global market further strengthen the case for the implementation of entrepreneurial networking.

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.

Use of Information Technology in the Supply Chain Management of the Pharmaceutical Industry

2022 ◽  
pp. 137-168
Author(s):  
Saibal Kumar Saha ◽  
Sangita Saha ◽  
Ajeya Jha
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Pharmaceutical Industry ◽  
Successful Implementation ◽  
Chain Management ◽  
Role Of Information

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management

2015 ◽  
Vol 2 (2) ◽  
pp. 14-30 ◽  
Author(s):  
Dothang Truong
Keyword(s):  
Cloud Computing ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Rapid Growth ◽  
Emerging Technology ◽  
Supply Chain System ◽  
Chain Management ◽  
Practical Guidance ◽  
And Control

Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-adoption stage of this technology. This research examines the post-adoption stage of cloud-based supply chain solutions from the decision science perspective and intends to provide organizations with practical guidance on how to ensure the efficiency of a cloud-based supply chain system and control risks associated with cloud-based solutions.

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