Vishwa V. Kumar

ORCID: 0000-0002-8847-5179
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Sustainable Supply Chain Management
  • RFID technology advancements
  • Flexible and Reconfigurable Manufacturing Systems
  • Modular Robots and Swarm Intelligence
  • Business Process Modeling and Analysis
  • Disaster Management and Resilience
  • Advanced Statistical Process Monitoring
  • Disaster Response and Management
  • Data-Driven Disease Surveillance
  • Public Relations and Crisis Communication
  • Recycling and Waste Management Techniques
  • Sustainable Industrial Ecology
  • Evolutionary Algorithms and Applications
  • Innovation Diffusion and Forecasting
  • Optimal Experimental Design Methods
  • Product Development and Customization
  • Misinformation and Its Impacts
  • Digital Transformation in Industry
  • Quality Function Deployment in Product Design
  • Supply Chain Resilience and Risk Management

Illinois Institute of Technology
2019-2025

University of Alabama in Huntsville
2024

Missouri University of Science and Technology
2013

Hong Kong Polytechnic University
2010

National Institute of Advanced Manufacturing Technology
2008-2009

Foundry (United Kingdom)
2008

A key advantage of social media is the real-time exchange views with large communities. In disaster situations, such bidirectional information most useful to victims and support teams, especially in communications authorities, volunteers, public. This paper addresses challenges faced by healthcare supply chain during COVID-19 pandemic analyses Twitter data using an Artificial Intelligence-driven multi-step approach. We investigate tweets for about chains, as scarcity testing kits, oxygen...

10.1080/00207543.2024.2316884 article EN International Journal of Production Research 2024-02-16

Abstract Environmental management and economic concerns drive the remanufacturing industry to inevitable process in closed loop logistics. The collection of end-of-life products from end-users is a main issue as their amounts will directly affect inventory manufacturing units, with significant impact on final product cost green environment. Most existing models reverse logistics assumed return rate fixed fraction. However, number returned always uncertain depends many factors like law,...

10.1080/00207543.2010.503201 article EN International Journal of Production Research 2010-10-13

Trouble free use of a product and its associated services for specified minimum period time is major factor to win the customer's trust in product. Rapid easy serviceability maintain functionalities plays key role achieving this goal. However, sustainability such model cannot be promised unless current health status monitored condition-based maintenance exercised. Internet Things (IoT), an important connectivity paradigm recent times, which connects physical objects internet real-time...

10.1016/j.promfg.2020.01.247 article EN Procedia Manufacturing 2019-01-01

This paper presents a web-based framework for interfacing product designers and fixture to fetch the benefits of early supplier involvement (ESI) reconfigurable assembly system (RAS). The two members requires four steps, namely, collaboration chain, selection, knowledge share, accommodation service facilities so as produce multiple products on single line. not only provokes concurrency in activities designer but also enables systems tackle spatial generational variety. Among stages...

10.1155/2013/943702 article EN Mathematical Problems in Engineering 2013-01-01

Amidst increasing system complexity and technological advancements, the manufacturer aims to win consumer's trust maintain his or her permanent goodwill. This expectation directs address problem of attaining desired quality reliability standards; hence, measure performance a in terms utility optimization poses an issue primary concern. In order meet requirement reliable trouble-free product, optimal allocation all conflicting parameters is essential during design phase system. With this...

10.1243/1748006xjrr210 article EN Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability 2009-06-29

The COVID-19 pandemic has profoundly affected various facets of society. This research explores the discourse on social media, specifically "X" (Twitter), to understand public sentiment and needs regarding healthcare supply chain challenges, such as availability testing kits, oxygen supplies, hospital beds, during pandemic. By identifying pertinent opinionated keyphrases employing advanced natural language processing (NLP) techniques, we sifted through over 3.9 million tweets collect health...

10.1109/embc53108.2024.10782707 article EN 2024-07-15
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