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The Agile-Based Monitoring and Management System for Dairy Supply Chain: The User Driven Design Approach
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The paper considers how the agile concept can be included in the User Driven Design framework. This design method combines requirements and constraints of users and stakeholders. The agile concept can be treated as one of the requirements, which should be considered differently by various users and stakeholders. The design process depends on the application fields and has to be implemented accordingly to their characteristics.

The case study of this research is a monitoring and management system that enables an adaptation of the conventional dairy supply chain to the agile supply chain strategy. Due to the personalised needs of every milk supplier and daily variation of the milk production, the efficient dairy supply chain requires a real-time data regarding adaptations to the changes. The system should accommodate not only changes dependent on external environmental conditions, but also unpredictable internal circumstances. The agile-based supply chain could help to maintain the high responsiveness and flexibility among the dairy plant, transportation provider and milk suppliers.

An engineering solution evaluates the agile strategy. It includes hardware and software, which monitor and manage transportation as a part of the dairy supply chain. The solution is implemented and tested at a medium-sized dairy company.

Place, publisher, year, edition, pages
2017. , p. 49
Keywords [en]
Agile Strategy, Dairy Supply Chain, Internet of Things, User Driven Design
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-15443OAI: oai:DiVA.org:bth-15443DiVA, id: diva2:1156386
External cooperation
BetterSolutions S.A.
Subject / course
ET2566 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal processing
Educational program
ETASB Master of Science Programme in Electrical Engineering with emphasis on Signal Processing
Presentation
2017-06-14, J3423 Aristoteles, Blekinge Institute of Technology, Karlskrona, 09:00 (English)
Supervisors
Examiners
Available from: 2017-11-20 Created: 2017-11-13 Last updated: 2017-11-20Bibliographically approved

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BTH2017Lubowicki(1796 kB)979 downloads
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Type fulltextMimetype application/pdf

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