A5006813623- Multi-Criteria Decision Making
- Efficiency Analysis Using DEA
- Optimization and Mathematical Programming
- Sustainable Supply Chain Management
- Technology Assessment and Management
- Supply Chain and Inventory Management
- Quality and Supply Management
- Big Data and Business Intelligence
- Systems Engineering Methodologies and Applications
- Supply Chain Resilience and Risk Management
- Vehicle Routing Optimization Methods
- Fuzzy Systems and Optimization
- Economic and Environmental Valuation
- Risk and Safety Analysis
- Quality Function Deployment in Product Design
- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
- Facility Location and Emergency Management
- Complex Systems and Decision Making
- Advanced Multi-Objective Optimization Algorithms
- Cognitive Science and Mapping
- Auction Theory and Applications
- Reliability and Maintenance Optimization
- Consumer Market Behavior and Pricing
- Innovation Diffusion and Forecasting
Paderborn University
2016-2025
La Salle University
2015-2024
Systems Analytics (United States)
2015-2024
Hunan University of Finance and Economics
2022
VSB - Technical University of Ostrava
2022
Galatasaray University
2022
Shenyang Normal University
2022
Decision Sciences (United States)
2010-2018
Free University of Bozen-Bolzano
2017
Pilgrim Hospital
1979
This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease cost increase accessibility low-income households persons with mobility issues. technology also has far-reaching applications implications beyond all current expectations. paper provides comprehensive review relevant literature explores broad spectrum issues from safety machine ethics. An...
This study provides a novel integrated multi-criteria decision-making approach to sustainable supplier selection problems. Despite the large supply chain management literature on green performance measurement, need for systematic analysis of how specific variables develop and affect each other remains mostly overlooked. The proposed framework allows such an analysis. By combining analytic network process quality function deployment, our model identifies clear hierarchical structure all...