A5041097802- Resource-Constrained Project Scheduling
- Construction Project Management and Performance
- BIM and Construction Integration
- Scheduling and Optimization Algorithms
- Risk and Safety Analysis
- Business Process Modeling and Analysis
- Software Engineering Techniques and Practices
- Service-Oriented Architecture and Web Services
- Reliability and Maintenance Optimization
- Advanced Manufacturing and Logistics Optimization
- Advanced Queuing Theory Analysis
- Management and Optimization Techniques
- Imbalanced Data Classification Techniques
- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Vehicle Routing Optimization Methods
- Anomaly Detection Techniques and Applications
- Robotic Path Planning Algorithms
- Cloud Computing and Resource Management
- Optimization and Search Problems
- Non-Destructive Testing Techniques
- UAV Applications and Optimization
- Big Data and Business Intelligence
- Model Reduction and Neural Networks
- Business, Education, Mathematics Research
Bar-Ilan University
2019-2024
Technion – Israel Institute of Technology
2006-2019
ORT Israel
2007
It may be tempting for researchers to stick incremental extensions of their current work plan future research activities. Yet there is also merit in realizing the grand challenges one’s field. This paper presents an overview nine major problems Business Process Management discipline. These have been collected by open call community, discussed and refined a workshop setting, described here detail, including motivation why these are worth investigating. serve purpose inspiring both novice...
Critical Chain (CC) is a popular project management technique in many multi-project organizations. It applies the Theory of Constraints (TOC) to offer practical and easy method for planning, scheduling control systems. While some prior studies examined CC performance single-project management, little attention has been given its environment. In this paper, we examine mechanisms alternatives. We demonstrate that, when not enough prevent projects' lateness, such alternatives may give rise...
Abstract We consider the problem of allocating resources to projects performed under given due dates and stochastic time–cost tradeoff settings. In particular, we show how implement a state‐of‐the‐art methodology known as “robust optimization” solve problem. contrast conventional approaches, model develop results in management policies rather than optimal values for original decision variables. Hence, project manager can postpone decisions point time when they are actually required then make...
This research deals with a variation of the Traveling Salesman Problem in which cost tour, during kinematically constrained vehicle visits set targets, has to be minimized. We are motivated by situations that include motion planning for unmanned aerial, marine, and ground vehicles, just name few possible application outlets. discretize original continuous problem explicitly formulate it as an integer optimization problem. Then we develop performance bound function discretization level number...
Problem definition: This research focuses on elderly patients who have been hospitalized and are ready to be discharged, but they must remain in the hospital until a bed geriatric institution becomes available; these “block” bed. Bed blocking has become challenge healthcare operators because of its economic implications quality-of-life effect patients. Indeed, hospital-delayed do not access most appropriate treatments (e.g., rehabilitation) prevent new admissions. Moreover, is costly, more...
The negative impact of absenteeism on organizations' productivity and profitability is well established. To decrease absenteeism, it imperative to understand its underlying causes identify susceptible employee subgroups. Most research studies apply hypotheses testing regression models features that are correlated with absenteeism-typically, these limited finding simple correlations. We illustrate the use interpretable classification algorithms for uncovering subgroups employees common...
Abstract The demand for medical treatment of casualties in mass casualty events (MCEs) exceeds resource supply. A key requirement the management such tragic but frequent is thus efficient allocation scarce resources. This article develops a mathematical fluid model that captures operational performance hospital during an MCE. problem how to allocate surgeons—the scarcest resources—between two stations order minimize mortality. focus placed on need immediate care. To this end, optimization...
ABSTRACT Project management is taught in most systems engineering graduate programs. courses and training aids traditionally focus on aspects of project scope—for instance, scheduling resource allocation methods—and tend to neglect product scope elements such as system performance. This article offers a simulation‐based approach for that integrates within simulation training. The result an integrated guides the trainee through initiation, conceptual design, planning execution phases...
A new class of discretization-based look-ahead algorithms (DLAAs) for the Dubins traveling salesperson problem (DTSP) is presented that compares favorably with existing from literature. The discretization level and length horizon are two parameters uniquely determine a DLAA, depending on application in hand, their values can be easily modified to strike balance between execution time resulting admissible tour. complexity DLAA sum terms, one linear number targets (cities) corresponds...
In this article we present our concept of time-critical decision making, sometimes even in life-threatening situations, and compare it to the process non-time-critical making. Decision-making methodologies have been extensively researched, some published research deals with making within context everyday life. However, many organizations is customary for decisions be made under pressure conditions uncertainty. Such may benefit from a generic decision-making approach. Two case studies were...
Customer waiting time prediction is key to managing service systems. Predicting how long a customer will wait for at the of their arrival can provide important information and serve as tool operations manager. Recent studies that suggested machine learning algorithms an alternative standard queueing theory approaches investigated specific systems with mixed results regarding superiority particular approach. We systematic investigation common violations assumptions on in context single-queue...
The current trend in modern project management methodologies is to maximize values. We suggest a quantitative model that balances time, cost, and value. It generates detailed plans, which are feasible with respect resource-constraints, considers interactions between technical performance, cost. Such interactions, existing models typically ignore or managers deal intuitively, important for increasing projects' model, extends the multimode resource-constrained scheduling problem by including...
This research focuses on minimizing the life cycle cost of a fleet aircraft. We consider two categories repairable parts; upon failure first category part (No-Go part), its aircraft becomes non-operational but when second (Go part) fails, can still operate for predetermined period time before it non-operational. In either case, to minimize downtime, failed has be replaced with one from good inventory, returned repair facility or through exchange supplier—an emergency sourcing mechanism which...