Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem

2021 ◽  
pp. 98-105
Author(s):  
Teruaki Hayashi ◽  
Gensei Ishimura ◽  
Yukio Ohsawa
Keyword(s):  
Value Chain ◽  
Data Exchange ◽  
Description Framework

Information Systems as the Key Enabler in Engineer-to-Order Supply Chain Management

2017 ◽  
pp. 426-439
Author(s):  
Arun N. Nambiar
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Data Storage ◽  
Value Chain ◽  
Data Exchange ◽  
Effective Means ◽  
Chain Management ◽  
Engineer To Order ◽  
Future Direction

Engineer-to-Order (ETO) environments are gaining more and more popularity these days with customers demanding custom-designed products to meet their specific needs. ETO enterprises are often having to rely on the combined design capabilities of the entire value chain in order to satisfy customer requirements. Due to the increased level of interaction with customers and between partners in the value chain, it becomes imperative to have an effective means of communication and data storage. Information systems can be leveraged to streamline the communication process and improve data exchange between the members of the value chain. This chapter will examine how information systems can be the key enabler in ETO supply chain management and identify some of the issues involved. The chapter will conclude with suggestions on future direction for research in this area.

Information Systems as the Key Enabler in Engineer-to-Order Supply Chain Management

2016 ◽  
pp. 1-16
Author(s):  
Arun N. Nambiar
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Supply Chain Management ◽  
Data Storage ◽  
Value Chain ◽  
Data Exchange ◽  
Effective Means ◽  
Chain Management ◽  
Engineer To Order ◽  
Future Direction

Engineer-to-Order (ETO) environments are gaining more and more popularity these days with customers demanding custom-designed products to meet their specific needs. ETO enterprises are often having to rely on the combined design capabilities of the entire value chain in order to satisfy customer requirements. Due to the increased level of interaction with customers and between partners in the value chain, it becomes imperative to have an effective means of communication and data storage. Information systems can be leveraged to streamline the communication process and improve data exchange between the members of the value chain. This chapter will examine how information systems can be the key enabler in ETO supply chain management and identify some of the issues involved. The chapter will conclude with suggestions on future direction for research in this area.

Industry 4.0 Adaption in Indian Banking Sector—A Review and Agenda for Future Research

2021 ◽  
pp. 097226292199682
Author(s):  
Ritika Gupta
Keyword(s):  
Value Chain ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Banking Sector ◽  
Fourth Generation ◽  
Future Research ◽  
And Control

Digitalization and intelligization is the need of the hour in today’s world. The manufacturing industry is, in fact, moving towards the fourth-generation industry, which we termed as Industry 4.0 or the Fourth Industrial revolution, which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is all about talking in terms of big data, technology, cyber security, the Internet of Things (IoT) and so on. This study is done to understand the new emerging technology in data exchange and automation, popularly known as Industry 4.0, in terms of banking sector with context to the Indian banking sector. The study focuses on studying banks in a digitalized word and what are the challenges that banks face. How banks cope up with digitalization, keeping customers at priority. This study centred on incorporating articles published in recent years to establish knowledge on the topic and to further identify areas for future research.

The Agricultural Innovation Under Digitalization

2019 ◽  
pp. 276-303
Author(s):  
Michel J. F. Dubois ◽  
Fatma Fourati-Jamoussi ◽  
Jérôme Dantan ◽  
Davide Rizzo ◽  
Mehdi Jaber ◽  
...  
Keyword(s):  
Value Chain ◽  
Data Exchange ◽  
Business Models ◽  
Agricultural Sector ◽  
Rapid Evolution ◽  
New Business ◽  
Agricultural Business ◽  
Farm Business ◽  
Start Ups ◽  
The Internet Of Things

This chapter aims to discuss how the rapid evolution of digital technologies is creating opportunities for new agricultural business models. First, it provides an overview of what the authors consider to be part of the digitalization in agriculture. Then it addresses the emergence of a community of practice based upon the data exchange and interconnections across the agricultural sector. New business opportunities are presented first through an overview of emerging start-ups, then discussing how the inventor farmer profile could create opportunities for new business models through the appropriation of technologies, eventually highlighting the limits of some classic farm business models. Finally, the chapter presents an example of farmer-centered open innovation based on the internet of things and discusses the related business model. The conclusion provides some perspectives on the use of agricultural digitalization to increase the share kept by farmers in the value chain of agricultural productions.

Kommunikation und Datenaustausch in Industrie 4.0*/Communication and data exchange in Industry 4.0 - Requirements and capabilities of propagated communication protocols

2015 ◽  
Vol 105 (03) ◽  
pp. 84-89
Author(s):  
H. Fleischmann ◽  
P. Gölzer ◽  
J. Franke ◽  
M. Amberg
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Production Systems ◽  
Communication Protocols ◽  
Industrie 4.0 ◽  
Self Control ◽  
Intelligent Products ◽  
Manufacturing Organization

Die umfassende Vernetzung intelligenter Produkte und Produktionssysteme in Industrie 4.0 erlaubt eine dezentral agierende Produktion sowie die Fähigkeit zur Selbststeuerung und Selbstoptimierung. Die Standardisierung von Kommunikation und Datenaustausch nimmt an dieser Stelle eine entscheidende Rolle ein und ermöglicht die system- und wertschöpfungsübergreifende Interaktion von Entitäten. Im Fachbeitrag werden formalisierte Anforderungen von Industrie 4.0 und Fähigkeiten propagierter Kommunikationsprotokolle gegenübergestellt.   Comprehensive networks of intelligent products and production systems in Industry 4.0 enable an autonomous and decentralized manufacturing organization and the capability for self-control and self-optimization. Standardized communication and data exchange is the key to establish the interaction of entities and systems along the entire value chain. This paper analyses requirements of Industry 4.0 and discusses the capabilities of propagated communication protocols.

Distributed Ledgers für den Materialdatenaustausch/Blockchain systems for tamper-proof data exchange in industrial manufacturing – Distributed ledgers for material data exchange

2021 ◽  
Vol 111 (11-12) ◽  
pp. 857-862
Author(s):  
Michael Lechner ◽  
Philipp Frey ◽  
Maximilian Kreß ◽  
Marion Merklein ◽  
Tassilo Christ ◽  
...  
Keyword(s):  
Value Chain ◽  
Material Characterization ◽  
Data Exchange ◽  
Product Variety ◽  
Manufacturing Processes ◽  
Lightweight Construction ◽  
Material Data ◽  
Industrial Manufacturing ◽  
Blockchain Technology ◽  
Secured Data

Moderne industrielle Fertigungsprozesse müssen stetig wachsende Anforderungen an Material- und Ressourceneffizienz, Qualität und Variantenvielfalt erfüllen. Die unternehmensübergreifende Zusammenführung integritätsgesicherter Daten ist hierbei Voraussetzung für die retrospektive Identifikation von Qualitätsproblemen, die Dokumentation der Einhaltung von Standards und die Allokation von Ressourcenverbräuchen entlang der Wertschöpfungskette. In diesem Beitrag wird am Beispiel eines Materialcharakterisierungsverfahrens für den hybriden Leichtbau diskutiert, wie mit der Blockchain-Technologie ein manipulationssicheres Speicherkonzept umgesetzt werden kann.   Modern industrial manufacturing processes have to meet ever-increasing requirements in terms of material and resource efficiency, quality and product variety. The cross-company consolidation of integrity-secured data is a prerequisite for the retrospective identification of quality problems, the documentation of compliance with standards and the allocation of resource consumption along the value chain. This paper uses the example of a material characterization process for hybrid lightweight construction processes to discuss how blockchain technology can be used to implement a tamper-proof storage concept.

scholarly journals PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6538
Author(s):  
Alexandra Cernian ◽  
Bogdan Tiganoaia ◽  
Ioan Sacala ◽  
Adrian Pavel ◽  
Alin Iftemi
Keyword(s):  
Value Chain ◽  
Medical Records ◽  
Data Exchange ◽  
Healthcare Providers ◽  
Personal Health Records ◽  
Personal Health ◽  
Proof Of Concept ◽  
Health Records ◽  
Blockchain Technology ◽  
Novel Approach

Currently there is not a single trusted infrastructure used for the exchange and storage of medical data along the healthcare value chain and, thus, there is no platform used for monitoring patients’ traceability within the entire healthcare chain. This situation leads to difficult communication and increased procedural costs, and thus it limits healthcare players from developing a better understanding and know-how of patients’ traceability that could further boost innovation and development of the best-fitted health services. PatientDataChain blockchain-based technology is a novel approach, based on a decentralized healthcare infrastructure that incorporates a trust layer in the healthcare value chain. Our aim was to provide an integrated vision based on interoperability principles, that relies on the usage of specific sensors from various wearable devices, allowing us to collect specific data from patients’ medical records. Interconnecting different healthcare providers, the collected data is integrated into a unitary personal health records (PHR) system, where the patient is the owner of his/her data. The decentralized nature of PatientDataChain, based on blockchain technology, leveraged the proper context to create a novel and improved data-sharing and exchange system, which is secure, flexible, and reliable. This approach brings increased benefits to data confidentiality and privacy, while providing secure access to patient medical records. This paper presents the design, implementation, and experimental validation of our proposed system, called PatientDataChain. The original contributions of our paper include the definition of the concept of unifying the entire healthcare value chain, the design of the architectural model of the system, the development of the system components, as well as the validation through a proof of concept (PoC) conducted with a medical clinic from Bucharest, using a dataset of 100 patients and over 1000 transactions. The proof of concept demonstrated the feasibility of the model in integrating the personal health records from heterogeneous sources (healthcare systems and sensors) in a unified, decentralized PHR system, with enhanced data exchange among healthcare players.

Machine-Scored Syntax: Comparison of the CLAN Automatic Scoring Program to Manual Scoring

2020 ◽  
Vol 51 (2) ◽  
pp. 479-493
Author(s):  
Jenny A. Roberts ◽  
Evelyn P. Altenberg ◽  
Madison Hunter
Keyword(s):  
Data Exchange ◽  
Child Language ◽  
Exchange System ◽  
Absolute Point ◽  
Language Analysis ◽  
Search Patterns ◽  
Language Data ◽  
Report Accuracy ◽  
Point To Point ◽  
Automatic Scoring

Purpose The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported. Results Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript. Conclusions The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program. Supplemental Material https://doi.org/10.23641/asha.11984364

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