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Design and development of an e-platform for supporting liquid food supply chain monitoring and traceability

Design and development of an e-platform for supporting liquid food supply chain monitoring and traceability

Folinas, Dimitris and Manikas, Ioannis (2012) Design and development of an e-platform for supporting liquid food supply chain monitoring and traceability. In: Wang, John, (ed.) Information Technologies, Methods, and Techniques of Supply Chain Management. IGI Global, Pennsylvania, USA, pp. 290-310. ISBN 9781466609181, 9781466609198 (e-book) (doi:10.4018/978-1-4666-0918-1.ch017)

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Abstract

In this paper, the deliverables of a research project are presented, which aims at the development of a web-based platform capable of supporting the traceability of liquid products like milk, wine and olive oil. First, it includes the design of a supply chain reference model and the identification of the data required for the efficient operation of the traceability system. The main elements of the proposed model defined in this paper are the entities, stages, events, and processes. The reference model consists of three distinct phases that represent stages of real-life supply chains. Each of these phases is defined by certain interactions between the above basic elements. Additionally, the proposed e-platform is based on the above reference model aiming to follow and register the production and distribution processes of the raw materials, semi-finals, and final products that are used in the examined industry.

Item Type: Book Section
Additional Information: [1] Chapter 17
Uncontrolled Keywords: supply chain management, traceability, information system, business process modeling, internet
Subjects: H Social Sciences > HE Transportation and Communications
H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA76 Computer software
Faculty / Department / Research Group: Faculty of Business > Supply Chain Management Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7984

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