INVITED SPEAKERS

Ripon Kumar Chakrabortty

University of New South Wales, Canberra, Australia

Speech Title:

What digital technology-based extensions can trigger the developments towards Supply Chain Risk Analytics?

Abstract:

This research intends to develop a decision support system (DSS) for the supply chain (SC) risk analytics. Amid this Industry 4.0 era, the traditional desk-based supply chain system and its over-arched documentations are now becoming obsolete, which has been progressively, rather speedily replaced by ‘digitalized supply chain’. Inarguably, a digitalized supply chain can lay the foundation of exploiting many new and recent inventions, such as blockchain, machine learning, cyber-physical systems, the internet of things, and the industrial internet of things. Thus, the sooner an organization can embrace digital artefacts, the faster it can adapt to the dynamicity of real-life problems. Due to the emergence of mass customization and faster throughput, end user’s demands are now unimaginatively varied. There are opulence reasons like varied demands, which have a direct influence to bring risks in the overall supply chain. Although the literature on risk management and disruption handing in the supply chain domain is quite rich, however, how more and more digital technology-based extensions can help to minimize supply chain risks are still a challenging research question. Keeping that in mind, this work proposes a guideline to embed optimization principles, simulation and typical predictive/prescriptive data analytics techniques. Optimization algorithms are used to aggregate capabilities and throughput restrictions to determine optimum costs or profit. Based on the output from an optimization model, a simulation is to be run to obtain a proactive SC design. Output from that simulation model should act as inputs to obtain resilient supply chain. ‘Data analytics’ tools are used to identify any real-time disruptions. If any, that should be transferred to the optimization model again to redesign the SC. Overall, this DSS should be a good piece to ensure data-driven disruption management scheme.  

Homepage:

https://www.unsw.adfa.edu.au/our-people/dr-ripon-chakrabortty

G. G. Md. Nawaz Ali

Clemson University, USA

Speech Title:

Mobility for Tomorrow: Connected and Autonomous Vehicle Perspective

Abstract:

In this talk, I will briefly discuss on my work and role in Connected and autonomous vehicle for energy efficient project with the Department of Automotive Engineering of Clemson University, SC, USA. Our objective is to save energy, reduce braking events, and harmonize traffic in connected and automated vehicles. In the course of this US DOE (Department of Energy) project, we want to demonstrate a minimum of 10% energy savings in mixed traffic streams of human-driven and Connected and Autonomous Vehicles (CAVs). Next, I will share my recent experience of ‘US 16 million dollars, Smart, Intelligent’ and ‘24/7 live’ V2X Test Bed in NTU campus (Nanyang Technological University, Singapore), named as NTU-NXP Smart Mobility Test Bed (SMTB) for advancing the capabilities in ITS (Intelligent Transportation System). The goals of SMTB are: to support real-life field testing of future mobility and ITS applications; to provide a permanent infrastructure for ITS players; to develop, test and verify their technologies and products; and to establish best practices for use of ITS technologies with world wide applications. I will discuss on test-bed infrastructure, used major V2X (Vehicle-to-everything) wireless technologies, recent researches on network coding, and relaying techniques for efficient V2X data dissemination.

Homepage:

https://clemson.academia.edu/GAli/CurriculumVitae

Naasik M Akkas

Director (Engineering), Sincos Engineers Ltd.

Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

Will be published soon!!!