Industrial Engineering in the Sustainability Era

Selected Papers from the Hybrid Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2023, August 14–16, 2023, New York, USA

Häftad, Engelska, 2025

AvFethi Calisir,Mohammad T. Khasawneh,Murat Durucu

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This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held on August 14-16, 2023, in New York, USA.

Produktinformation

Utgivningsdatum2025-05-13
Mått155 x 235 x 12 mm
Vikt312 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Management and Industrial Engineering
Antal sidor183
FörlagSpringer International Publishing AG
ISBN9783031548703

Tillhör följande kategorier

A Procedure to Conceive Projectified Supply Chains Using Intelligent Models.- The Effects of Family-Friendly Policies on Job Satisfaction and Organizational Commitment of Working Mothers in Turkey.- Vehicle Routing Problem with Time Windows and Multiple Pick-up and Delivery Locations.- Technology Value Chain Management for Defense 4.0.- Distributed Systems and Surge of Entrepreneurial Activities.- Next-Generation Infrastructure and Application Scaling: Enhancing Resilience and Optimizing Resource Consumption.- A Positioning of the supplied items in the Kraljic Portfolio Matrix.- Risk-Return Performances of Sustainability and REIT Indices: Evidence from the Turkish Real Estate Market.- A Psychophysical Approach for Predicting Isometric Endurance Limit in The Jordanian Diabetes Mellitus Patients.- Impact of Covid-19 Pandemic on Demand and Demand Forecasting in a Furniture Wholesale Company.- Patient Flow Redesign in a Hospital Lobby: Combining Discrete Event Simulation and Multi-Criteria Decision Analysis.- Using Lean Tools to Reduce Patient Length of Stay in Inpatient Settings.- Sustainable Development in the United States: Investigating the Relationship between Key Socioeconomic Factors and Carbon Dioxide Emissions.- Risk Tradeoffs in Supplier Selection: A Discrete Choice Experiment.- COVID-19 Patient Volume Prediction Using Time Series Modeling.- Kanban Digitization for Discrete Manufacturing Systems: A Case Study