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The design and implementation of situation aware smart logistics in perishable food transportation

Master Assignment Service and cyber-security (SCS)

the design and implementation of situation aware smart logistics in perishable food transportation

Type: Master BIT 

Location: CAPE Groep Enschede

Period: Mar, 2018 - Sep, 2018

Student: Gilang Charismadiptya 

Supervisors:

Description:

The food industry must consider food safety when transporting products. Threats to food safety include lack of security, improper handling, improper refrigeration, improper management of transportation units, improper loading practices, conditions or equipment. Threats relate to the occurrence of logistics exceptions: “any deviation from an ‘ideal’ collaborative process that uses the available resources to achieve the task requirements in an optimal way”.

Prior research has shown many architectures for leveraging the internet of things into the logistics fields. However, in most of these architectures the purpose is to identify and record the location of the transported products. There are not many architectures available for detecting logistics exceptions and providing useful information in response to logistics exceptions. Existing architectures include logistics exceptions management, which focuses on detecting exceptions, and EURIDICE, which focuses on gathering valuable information for logistics operation. Nevertheless, none of the mentioned architectures focuses on the integration of exception detection capabilities and presenting the information surrounding the exception into a real business process.

This thesis aims to fill the gaps by designing an enterprise architecture for detecting and reacting to logistics exceptions. The enterprise architecture serves as a guide for implementing the concept of situation-aware logistics under real conditions. Furthermore, the enterprise architecture should serve as a basis for implementing artificial intelligence into logistics exception management. This study uses the design science as the overall research methodology, emphasizing the satisfaction of stakeholders.