1,352 research outputs found
Ensuring the visibility and traceability of items through logistics chain of automotive industry based on AutoEPCNet Usage
Traceability in logistics is the capability of the participants to trace the products throughout the supply chain by means of either the product and/or container identifiers in a forward and/or backward direction. In today's competitive economic environment, traceability is a key concept related to all products and all types of supply chains. The goal of this paper is to describe development of application that enables to create and share information about the physical movement and status of products as they travel throughout the supply chain. The main purpose of this paper is to describe the development of RFID based track and trace system for ensuring the visibility and traceability of items in logistics chain especially in automotive industry. The proposed solution is based on EPCglobal Network Architecture
Potentials of Traceability Systems - A Cross-Industry Perspective
Recently, traceability systems have become more common, but their prevalence and design vary significantly depending on the industry. Different law and customer-based requirements for traceability systems have led to diverse standards. This contribution offers a framework to compare the state of traceability systems in different industries. A comparison of industry characteristics, motivations for traceability system implementation, common data management, and identification systems are offered. Upon that analysis, the potential of cross-industry traceability systems and approaches is identified. This extended usage of traceability systems supports the quality assurance, process management and counterfeit protection and thus expands customer value
The enterprise blockchain design framework and its application to an e-Procurement ecosystem
The research work of this paper has been partially funded by the project VORTAL INTER DATA (n° 038361), co-financed by Vortal and COMPETE Program P2020.
We would also like to thank UNIDEMI, DEMI, and LASI for providing us with the research infrastucture and resources to conduct this research.
Publisher Copyright:
© 2022 Elsevier LtdBlockchain technologies have seen a steady growth in interest from industries as the technology is gaining maturity. It is offering a novel way to establish trust amongst multiple stakeholders without relying or trusting centralised authorities. While its use as a decentralised store of value has been validated through the emergence of cryptocurrencies, its use case in industrial applications with multiple stakeholder ecosystems such as industrial supply chain management, is still at an early stage of design and experimentation where private blockchains are used as opposed to public blockchains. Many enterprise blockchain projects failed to gain traction after initial launches, due to inefficient design, lack of incentives to all stakeholders or simply because the use of blockchain was not really necessary in the first place. There has been a need for a framework that allows blockchain designers and researchers to evaluate scenarios when a blockchain solution is useful and design the key configurations for an enterprise blockchain solution. Literature on blockchain architectures are sparse and only applicable to specific use cases or functionalities. This paper proposes a comprehensive Enterprise Blockchain Design Framework (EBDF), that not only identifies the relevant use cases when a blockchain must be utilised, but also details all the characteristics and configurations for designing an enterprise blockchain ecosystem, applicable to multiple industries. To validate the EBDF, we apply the same to the Vortal e-Procurement ecosystem allowing for multiple platforms to interoperate with greater transparency and accountability over the proposed blockchain framework. In this use case, many vendors bid for procurement procedures, often for publicly managed funds where it is extremely vital that full transparency and accountability is ensured in the entire process. Ensuring that certain digital certification functions, such as timestamps are independent from e-Procurement platform owners has been a challenge. Blockchain technology has emerged as a promising solution for not only ensuring transparency and immutability of records, but also providing for interoperability across different platforms by acting as a trusted third-party. The applied framework is used to design a Hyperledger based blockchain solution with some of the key architectural elements that could fulfil these needs while presenting the advantages of such a solution.publishersversionpublishe
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing
There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily depend on quality-related information within the supply chain business ecosystem to drive zero-waste value chains. To empower zero-waste value chain strategies with meaningful, reliable, and trustful data, there must be a solution for end-to-end industrial data traceability, trust, and security across multiple process chains or even inter-organizational supply chains. In this paper, we first present Product, Process, and Data quality services to drive zero-waste value chain strategies. Following this, we present the Trusted Framework (TF), which is a key enabler for the secure and effective sharing of quality-related information within the supply chain business ecosystem, and thus for quality optimization actions towards zero-defect manufacturing. The TF specification includes the data model and format of the Process/Product/Data (PPD) Quality Hallmark, the OpenAPI exposed to factory system and a comprehensive Identity Management layer, for secure horizontal- and vertical quality data integration. The PPD hallmark and the TF already address some of the industrial needs to have a trusted approach to share quality data between the different stakeholders of the production chain to empower zero-waste value chain strategies.publishedVersio
The use of artificial neural networks (ANN) in food process engineering
Artificial neural networks (ANN) aim to solve
problems of artificial intelligence, by building a system with
links that simulate the human brain. This approach includes
the learning process by trial and error. The ANN is a system
of neurons connected by synaptic connections and divided
into incoming neurons, which receive stimulus from the
external environment, internal or hidden neurons and
output neurons, that communicate with the outside of the
system. The ANNs present many advantages, such as good
adaptability characteristics, possibility of generalization and
high noise tolerance, among others. Neural networks have
been successfully used in various areas, for example,
business, finance, medicine, and industry, mainly in
problems of classification, prediction, pattern recognition
and control. In the food industry, food processing, food
engineering, food properties or quality control, statistical
tools are frequently present, and ANNs can process more
efficiently data comprising multiple input and output
variables. The objective of this review was to highlight the
application of ANN to food processing, and evaluate its
range of use and adaptability to different food systems. For
that a systematic review was undertaken from the scientific
literature and the selection of the information was based on
inclusion criteria defined. The results indicated that ANN is
widely used for modelling and prediction in food systems,
showing good accuracy and applicability to a wide range of
situations and processes in food engineering.info:eu-repo/semantics/publishedVersio
The adoption of blockchain technology in green supply chain networks
The demand for acting sustainable across companies has gained increasing importance. With the goal set by the European Commission to reach a climate neutral economy by 2050,the mission of acting green and lower the carbon footprint will becomea significant challengefor firms across industries.In this paper,a blockchain-based theoretical framework will be proposedas an implementation guidelinefor companies to provide immutable and trusted data towards supply chain partners, customers and thirdparties.As a result, a systematic architecture is introduced reflecting a permission-based distributed ledgerconnected via four additional layersto optimize green supply chain designs and improve transparency
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