Industrial Engineering in the Covid-19 Era

Beschreibung

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held as a hybrid event on October 29–30, 2022, in/from Istanbul Technical University. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering at the purpose of using and managing digital and intelligent technologies for application to a wide range of field, including manufacturing, healthcare, e-commerce and sustainable development. A special emphasis is given to engineering methods and strategies for managing pandemics and reducing their adverse effects on businesses.
This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held as a hybrid event on October 29–30, 2022, in/from Istanbul Technical University. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering at the purpose of using and managing digital and intelligent technologies for application to a wide range of field, including manufacturing, healthcare, e-commerce and sustainable development. A special emphasis is given to engineering methods and strategies for managing pandemics and reducing their adverse effects on businesses.
 
Reports on digital and intelligent technologies applications and management Covers applications in e-commerce, healthcare and transportation Bridges between technological research and industry best practices

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Fethi Calisir

Themen in »Industrial Engineering in the Covid-19 Era«

Decision Support Systems Multicriteria Decision Making Fuzzy Decision Making Analytical Hierarchy Process TOPSIS applications Demand Forecasting Scheduling Systems Metaheuristic Optimization Neural Networks in Industrial Engineering Supply Chain Risk Analysis Intelligent Agent-based Modelling Automation of Warehouse Operations Sustainable Supply Chain Waste Management Models Supplier Selection Methods

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