Show simple item record

dc.contributor.advisorChakrabarty, Amitabha
dc.contributor.authorAlam, Ajmain Inqiad
dc.contributor.authorRahman, Mahfuzur
dc.contributor.authorSubho, Md. Razaul Haque
dc.date.accessioned2018-05-21T08:17:08Z
dc.date.available2018-05-21T08:17:08Z
dc.date.copyright2018
dc.date.issued2018-04
dc.identifier.otherID 14301054
dc.identifier.otherID 14301135
dc.identifier.otherID 14301042
dc.identifier.urihttp://hdl.handle.net/10361/10184
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 35-37).
dc.description.abstractBeginning from the evolution of industrialization, planning, production and distribution has always been the significant process. For manufacturing and distribution of the products from company or suppliers to the customers involves many things e.g. people, information, materialistic resources etc. This vital process, known as Supply Chain Management (SCM) when collaborated with Internet of Things (IoT) can result into greater possibilities in different aspects of supply. In this paper, we focused on the integration of IoT with core features of supply chain management, which are production, packaging and delivery of the product. In this system, clients can place order online, and for packaging and tagging, we have used RFID tags, which can be read for keeping information about the product in different warehouses. For ensuring a user friendly delivery experience, we have used Ai-Thinker A7 module, which is a combination of GPS, GSM and GPRS system that continuously updates the vehicle information in cloud server through which clients can easily track their products’ location. The main purpose of this research is to make automated SCM and increasing efficiency using IoT.en_US
dc.description.statementofresponsibilityAjmain Inqiad Alam
dc.description.statementofresponsibilityMahfuzur Rahman
dc.description.statementofresponsibilityMd. Razaul Haque Subho
dc.format.extent37 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectChain Managementen_US
dc.subjectInternet of Thingsen_US
dc.subjectRFIDen_US
dc.subjectSCMen_US
dc.subjectGPRS systemen_US
dc.titleIot based supply chain managementen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering 


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record