An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0

Garrido-Hidalgo, Celia; Olivares, Teresa; Ramı́rez, Francisco J.; Roda-Sánchez, Luis

doi:10.1016/j.compind.2019.103127

Cited by 131 publications

(66 citation statements)

References 38 publications

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“…The gathering of these data might be eased by the adoption of RFID or IoT sensors and actuators that can be furtherly integrated through the usage of PLM, Relational Database Management Systems or Database Handling Systems [87]. ICT systems are considered essential elements to support reverse logistics and to store the right information [88]. Among them, ERP is considered one of the most important instruments to streamline information flows and to enable the returned products monitoring [79].…”

Section: Closed-loop Supply Chain and Reverse Logisticsmentioning

confidence: 99%

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

et al. 2021

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In the extant literature, circular economy (CE) is considered a driver for sustainable development of the manufacturing sector, being it an industrial paradigm aiming at regenerating resources. CE is transferred to manufacturing companies through the adoption of different Circular Manufacturing (CM) strategies (e.g., recycling, remanufacturing, etc.). Nowadays, manufacturers are struggling to implement these strategies to limit their resource consumption and pollution generation. To enable their adoption, the extant literature unveiled the importance to control along the entire value chain different types of resource flows (i.e., material, energy, and information). Nevertheless, while for material and energy management some advancements were achieved, information management and sharing remains one of the major barriers in adopting these strategies. The present work, through a systematic literature review, aims to identify the relevant information and data required to support the manufacturer’s decision process in adopting and managing the different CM strategies to pursue the transition towards CM. Furthermore, based on the results obtained, this research proposes a theoretical framework. It elucidates the four main areas to be managed by manufacturers in adopting CM strategies and it provides to the manufacturer an overview of what should be updated and upgraded inside the company to embrace CM strategies.

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Section: Closed-loop Supply Chain and Reverse Logisticsmentioning

confidence: 99%

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

et al. 2021

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“…Location, and or, readiness of the of asset when it reaches EoL can be supported by the integration of RFID tags and sensors read by mobile data systems Wi-Fi or GPS to support traceability of return ows [6,102] or inventory through the remanufacturing process [103,76,104]. The asset locating data can ow into the DT to allow for earlier purchasing and process management decisions.…”

Section: Translating High-value Asset Remanufacturing Issues To Requimentioning

confidence: 99%

A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

Kerin

Huang

et al. 2021

Preprint

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A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time or near real time from the entity through embedded sensors and the Internet-of-Things. Many applications of digital twins in manufacturing industry have been investigated. This article focuses on the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a UML model of a generic asset to be remanufactured. The model has been demonstrated in a case study which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.

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“…role in enhancing supply chain visibility, which in turn leads to reduced stock-out and lead time. Inventory waste is eliminated, labor costs are decreased, transaction costs are reduced, and both customer satisfaction and inventory and logistics management are improved [20]. The current study incorporates the LoRaWAN investment evaluation model together with its investment level and its relative warehouse location assignment.…”

Section: Vendor Managed Inventorymentioning

confidence: 99%

“…Optimization riables in the model should be non-negative values for validation, as shown in Equation(20).…”

mentioning

confidence: 99%

Optimization of Supply Chain Networks Using MINLP Model with Deterministic Demand

Altherwi¹,

Zohdy²

2020

OJOp

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An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0

Cited by 131 publications

References 38 publications

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption

A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

Optimization of Supply Chain Networks Using MINLP Model with Deterministic Demand

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