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  • articleNo Access

    REQUIREMENTS TRACEABILITY ISSUES: GENERIC MODEL, METHODOLOGY AND FORMAL BASIS

    This paper focuses on the traceability issue as key element in systems design and management of system. The work is presented through the system engineering framework with a main emphasis on requirements process. Effectively in decision making, the need for traceability model is often required in order to find out the link for a considered decision and often the semantics of such link. With the advent for information technology and integrating technical needs and business goal, the traceability find its essence and many models can now be easily implemented automatically. The paper is based on many experiences carried out ranging from audit to requirement evolution issues for impact analysis.

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    Chapter 11: Blockchain-Enabled Supply Chain Transparency, Supply Chain Structural Dynamics, and Sustainability of Complex Global Supply Chains — A Text Mining Analysis

    Blockchain technology has been hailed as the technology of the future, not only for banking and finance but also for supply chain management and logistics. As lack of transparency in global supply chains is a major risk for sustainability, blockchain offers an attractive solution in the form of a reliable platform to create transparency and risk management. Not considering the nascent stage of the technology, companies are investing millions of dollars into blockchain solutions for many business problems including that of supply chains. However, blockchain-enabled networkwide transparency and visibility also inject new dynamics into supply chains through introduction of structural changes like redefining what is organizational boundary, creating new resources, and a new transactional economy for supply chain management. The structural changes also create a fundamental need for organizations in a supply network to adapt their supply chain processes to this new and emerging supply chain structural dynamics for organizational and network-level efficiency and sustainability. For efficient restructuring of the supply chain processes, organizations need clarity regarding what should be the focus of their processes for creating sources of competitive advantage.

    Using topic modeling, a text mining technique, this work finds the focus areas of supply chain processes in organizations with examples of successful application of blockchain technology. Apart from how these organizations have integrated the strengths of blockchain in their supply chain processes, we also provide an exhaustive theoretical explanation about how firms can create sources of competitive advantage from blockchain technology. Identification of the focus areas will also help operations and supply chain managers planning to implement blockchain technology and devise plans for data-centric decision-making for their SCM processes for efficiency.

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    Chapter 18: Unmasking Counterfeit Readymade Garments in India Using Blockchain Technology

    Counterfeit products are the replicated goods of authentic and original brands having indistinguishable packaging, labels, and trademarks on them. It is a very serious threat to economies all over the world. These products are not only causing loss to the nations at great lengths but are also, affecting the employment growth by shutting down the local industries. In the context of India, counterfeiting is no new concept even though, the apparel industry is one of the major contributors to employment and growth in the Indian economy. This chapter focuses on removing the practice of counterfeiting from the Indian apparel industry by examining the ways in which blockchain technology can be integrated with the supply chain management to provide a genuine solution for traceability along with other various contributing operational factors such as reduction in cost, damage and combating the practice of counterfeit products from the apparel industry.

  • chapterNo Access

    CHAPTER 3: Digitization and Supply Chain Risk Management

    This chapter focuses on supply chain risk management and the use and impact of digitization in this domain. The COVID-19 pandemic, geopolitical risks, and natural disasters in recent years underscored the vulnerabilities in supply chains. During the same timeframe, the world also witnessed the emergence of various digital technologies that enable real-time information sharing, data-driven decision-making, and collaboration to enhance operational performance and resilience. In this context, this chapter reviews the transformative role of digital technologies, such as supply chain mapping, visualization tools, Internet of Things (IoT), big data analytics, Blockchain, Artificial Intelligence (AI), and early warning systems.