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Supply chain management is implementing the standards of Industry 4.0 in order to enhance the trust and safety level in the system with invention of the latest technologies. At the same time, the customers are now more focused towards the product quality. Supply chain management is the demand of the era. However, it is difficult to trace and maintain the track data throughout the process during the supply of a product. The traditional solutions were based on centralized third party solutions, where the data is inclined to various security attacks and high risk of tempering. In this paper, a solution for the management of supply of a product has been proposed which is based on IoT with an amalgamation of blockchain so as to increase the transparency of the flow during the supply of the product. The solution will help to enhance the trust as the data will be shared among all participating nodes of the network in blockchain. It also makes instant traceability of the product and this can be done by both the end of the chain. Moreover, this solution will help the consumer to check whether the product is from a reliable source or not. For the implementation and testing of smart contracts the authors have used Remix IDE, MetaMask and RinkeyBy.

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.

With the evolution of manufacturing industry, traceability is becoming one of the fundamental elements of the modern and sustainable manufacturing processes. However, the traceability information platform under a collaborative and integrated manufacturing environment has not been sufficiently addressed. In this paper, the general architecture of a traceability information management platform is proposed for the manufacturing application scenarios, which consists of three hierarchical layers: object configuration and data collection layer, data management layer, as well as data analytics and application layer. The platform is designed for real-time information capturing and integration and to establish the data foundations for potential applications in data-driven decision-making and process optimization. The proposed solution has been implemented in a textile dyeing production line, and realised manufacturing data collection and management with product traceability services, which showed the feasibility and significance of the proposed framework.

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.