Internet of Things, Big Data, Industry 4.0 – Innovative Solutions in Logistics and Supply Chains Management ☆
TL;DR: In this paper, the authors present some "smart" solutions which could be recognized as innovative solutions in both areas: technology and organisation, which are implemented by logistics, which, in the era of globalization, plays a very important role.
About: This article is published in Procedia Engineering.The article was published on 2017-01-01 and is currently open access. It has received 355 citations till now. The article focuses on the topics: World economy & Globalization.
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TL;DR: A systematic and extensive review of research that captures the dynamic nature of industry 4.0 has been presented in this article, where 85 papers were classified in five research categories namely conceptual papers on Industry4.0, human-machine interactions, machine-equipment interactions, technologies of Industry 4., and sustainability.
707 citations
TL;DR: The paper extends the state-of-the-art literature by proposing a pioneering roadmap to enhance the application of CE principles in organisations by means of Industry 4.0 and CE principles based on the most relevant management theories.
Abstract: This work makes a case for the integration of the increasingly popular and largely separate topics of Industry 4.0 and the circular economy (CE). The paper extends the state-of-the-art literature by proposing a pioneering roadmap to enhance the application of CE principles in organisations by means of Industry 4.0 approaches. Advanced and digital manufacturing technologies are able to unlock the circularity of resources within supply chains; however, the connection between CE and Industry 4.0 has not so far been explored. This article therefore contributes to the literature by unveiling how different Industry 4.0 technologies could underpin CE strategies, and to organisations by addressing those technologies as a basis for sustainable operations management decision-making. The main results of this work are: (a) a discussion on the mutually beneficial relationship between Industry 4.0 and the CE; (b) an in-depth understanding of the potential contributions of smart production technologies to the ReSOLVE model of CE business models; (c) a research agenda for future studies on the integration between Industry 4.0 and CE principles based on the most relevant management theories.
612 citations
TL;DR: In this article, the authors introduce a measures framework for sustainability based on the United Nations Sustainable Development Goals (SDGs) incorporating various economic, environmental and social attributes, and develop a hybrid multi-situation decision method integrating hesitant fuzzy set, cumulative prospect theory and VIKOR.
485 citations
TL;DR: Artificial Intelligence, Service and Policy Framework, and Circular Economy are significant enablers connecting CE and Industry 4.0 in a supply chain and Interface Designing and Automated Synergy Model are the most significant challenges.
305 citations
TL;DR: In this article, a systematic review of the literature on the design of business models in the context of circular economy is presented, aiming to offer an overview of the state of research and outline a promising research agenda.
Abstract: The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.
248 citations