A5057575927- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Sustainable Supply Chain Management
- Supply Chain Resilience and Risk Management
- Food Waste Reduction and Sustainability
- Neonatal and fetal brain pathology
- Resource-Constrained Project Scheduling
- Neonatal Respiratory Health Research
- Optimization and Mathematical Programming
- Infant Development and Preterm Care
- BIM and Construction Integration
- Construction Project Management and Performance
- Mesenchymal stem cell research
- Hematopoietic Stem Cell Transplantation
- Optimization and Search Problems
- Reliability and Maintenance Optimization
- Prenatal Screening and Diagnostics
- Healthcare Operations and Scheduling Optimization
- Supply Chain and Inventory Management
- Digital Imaging for Blood Diseases
- Optimization and Packing Problems
Kharazmi University
2023-2025
K.N.Toosi University of Technology
2018-2019
Payame Noor University
2011-2013
Mazandaran University of Science and Technology
2009-2011
Abstract In this paper, we address the two stage assembly flow-shop problem with multiple non-identical machines in to minimise weighted sum of makespan and mean completion time. Also, sequence dependent setup times are considered for first stage. This is a generalisation previously proposed problems (TSAFSP). many real world industrial production systems, there more than one machine assemble job components. After extending mathematical mixed-integer linear programming model solve problem,...
In classical scheduling problems, it is often assumed that the machines are available during whole planning horizon, while in realistic environments, need to be maintained and therefore may become unavailable within production periods. Hence, this paper we suggest a joint maintenance (JPMS) with multiple preventive services, which reliability/availability approach employed model aspects of problem. To cope suggested JPMS, mixed integer nonlinear programming developed then population-based...
In this paper, we address the two stage assembly flowshop scheduling problem which has m parallel machines at first and an machine second with a weighted sum of makespan mean completion time criteria, known as bicriteria, are great importance on industrial context. This is to be intractable, therefore right way proceed through use heuristic techniques. To that purpose, novel approach based systematic changes neighborhood structure within search been developed. Variable (VNS) recent...
In this research the master surgical scheduling (MSS) problem at tactical level of hospital planning and is studied. Before constructing MSS, a strategic problem, i.e. case mix (CMPP), shall be solved to allocate capacity operating room (OR) each specialty. order make an effective coordination between CMPP results obtained from solving used as input for respective MSS. frequently performed elective surgeries are planned in cyclic manner pre-defined period. As part process, it required...
An assembly line is a flow‐oriented production system where the productive units performing operations, referred to as stations, are aligned in serial manner. The balancing problem arises and has be solved when an configured or redesigned. so‐called simple (SALBP), basic version of general problem, attracted attention researchers practitioners operations research for almost half century. There four types objective functions which considered this kind problem. versions SALBP may complemented...