Industrial Engineering in the Sustainability Era, Kartoniert / Broschiert
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
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Fethi Calisir, Mohammad T. Khasawneh, Murat Durucu
- Verlag:
- Springer, 05/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031548703
- Artikelnummer:
- 12297859
- Umfang:
- 200 Seiten
- Gewicht:
- 312 g
- Maße:
- 235 x 155 mm
- Stärke:
- 12 mm
- Erscheinungstermin:
- 13.5.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
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