Session Chairs
Hussein NASERALDIN
Yariv MARMOR
The Complexity Trap: Why Sophisticated Prediction Models Struggle in Practice
14:30 – 14:45
Yariv MARMOR, Industrial Engineering and Management
Examines when statistical model sophistication translates to real business value in industrial settings. Focuses on identifying critical noise thresholds where complex models cease providing operational advantages over simpler alternatives. Bridges predictive analytics and industrial statistics to develop practical, process-specific model selection frameworks prioritizing operational outcomes over statistical metrics.
Quiet Quitting Across Countries: What Drives It and How to Prevent It
14:45 – 15:00
Hilla PERETZ, Industrial Engineering and Management
My research focuses on cross-cultural human resource management, with particular interest in how national institutions and workplace factors influence employee behavior, motivation, and engagement. I explore topics such as quiet quitting, talent management, flexible work arrangements, and the role of job demands and resources across diverse global contexts.
Increasing willingness to pay in the food supply chain: a blockchain-based approach
15:00 – 15:15
Hussein NASERALDIN, Industrial Engineering and Management
Food products’ quality information is advertised on labels but do customers trust them? We investigate how the consumers’ Willingness-To-Pay (WTP) for food products can be increased by deploying managerial effort and advanced technologies, such as the Blockchain Technology. Our model generates optimal consumers’ WTP and profit. In a multi-echelon supply chain, a buyer holds a Bayesian belief about the quality of the input to be procured. Managerial effort is required both to enhance quality.
Discrete cooperative coverage problems with general aggregate signal function
15:15 – 15:30
Illana BENDAVID, Industrial Engineering and Management
Project scheduling with stochastic durations: determination of a gate for each activity, a time before which the activity cannot begin, to minimize expected costs using the cross entropy heuristic .Appointment Scheduling in Healthcare: it allows to balance between quality of service and waiting time versus idle times and resource utilization.
Cooperative coverage problems: the selection of facilities to maximize the coverage where all facilities contribute to the coverage of each demand point.
Industrial Engineering and Management
15:30 – 15:45
Rachel RAVID, Industrial Engineering and Management
My research focuses on the theory of multi-dimensional queueing systems. These problems are common in various applications like supermarkets, hospitals, airports, call centers and communication networks. Understanding their behavior is crucial for optimizing resource allocation. Mathematical analysis is needed for performance evaluation like queue lengths and waiting times distributions. Complex analysis plays an important role in the research.
