Abstract
This study aims to build smart supply chains for the first time using the internet of things (IoT) and blockchain. Classification and clarification of causal relationships can provide a useful framework for researchers and professionals who seek to implement an intelligent supply chain using IoT tools in a blockchain platform, and it also demonstrates the intensity of communications indicating such relationships. The research methodology is mixed method, comprised of qualitative and quantitative methods. The qualitative method includes the Delphi method used for selecting indigenous components and features proper for the pattern. The quantitative method is the Dematel method used for assessing the relationships between the available concepts in the pattern and accessing the network structure between components. Interpretative Structural Modeling is also employed to classify the network structure obtained from the Dematel technique. The findings of the study identify indicators of IoT and blockchain as causes based on Dematel, application of tools, components interconnectedness, optimal decision making, automatedness, integration, innovation and learning, which are indicators of smart supply chain, are the effects in this study.
Highlights
Smart supply chain management is concerned with providing the right goods at the right time with the right amount at the right place at the right price under the right conditions for the right customer [1].In the new era, global supply chains are more complex and are confronted with frequent uncertainty [2] and tough competitions in the market [3]
In terms of contributions to the research, this paper presents the effect of internet of things (IoT) and blockchain on making a smart supply chain and assesses the effects and relationships of each factor with others and finds a pattern for it
This study aims at studying the application of IoT and blockchain for designing a smart supply chain and its role will be investigated in the defense supply chain
Summary
Smart supply chain management is concerned with providing the right goods at the right time with the right amount at the right place at the right price under the right conditions for the right customer [1].In the new era, global supply chains are more complex and are confronted with frequent uncertainty [2] and tough competitions in the market [3]. One of the major concerns of enterprises is to collect their correct and high-quality data in the best time possible, as fast as possible, to provide it to their internal and foreign sectors and to have control over the data and their sharing so as to make optimal large-scale decisions. For this purpose, it is important to find a useful instrument for data production, security, sharing and the ability of real-time analysis. The smart supply chain management is facilitated by identification, measurement and pursuing key processes with IoT
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