A5019047127- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- Assembly Line Balancing Optimization
- Vehicle Routing Optimization Methods
- Facility Location and Emergency Management
- Optimization and Mathematical Programming
- Multi-Criteria Decision Making
- Supply Chain Resilience and Risk Management
- Optimization and Search Problems
- Optimization and Packing Problems
- Healthcare Operations and Scheduling Optimization
- Advanced Queuing Theory Analysis
- Metaheuristic Optimization Algorithms Research
- Quality and Supply Management
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Manufacturing Process and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Recycling and Waste Management Techniques
- Transportation Planning and Optimization
- Environmental Sustainability in Business
- Scheduling and Timetabling Solutions
- Efficiency Analysis Using DEA
University of Tehran
2015-2024
University of Vienna
2021-2022
TU Wien
2021-2022
K.N.Toosi University of Technology
2021
College of Industrial Engineering
2018
The Ohio State University
2016
Iran University of Science and Technology
2016
Institut polytechnique de Grenoble
1998
Abstract During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many have been developed over last years. Many of these are inspired by various phenomena nature. In this paper, a new population based algorithm, Lion Optimization Algorithm (LOA), is introduced. Special lifestyle lions their cooperation characteristics basic motivation for development algorithm. Some benchmark...
The lack of proper management medical waste leads to environmental pollution and threatens the lives communities. Good means appropriate planning monitoring at all stages, including collection, separation, treatment, recycling, disposal which promotes a circular approach. This paper presents multi-item, multi-period, bi-objective mixed-integer linear programming economy transition model for considering uncertainty in amount generated design green reverse network. In this paper, first time,...
Global supply chains are increasingly exposed to operational and disruption risks that threaten their business continuity. This paper presents a novel two-stage scenario-based mixed stochastic-possibilistic programming model for integrated production distribution planning problem in two-echelon chain over midterm horizon under risk. Operational handled by introducing imprecise (i.e. possibilistic) parameters while accounted through stochastic scenarios. The proposed accounts the risk...
As the destructive impacts of both human-made and natural disasters on societies built environments are predicted to increase in future, innovative disaster management strategies cope with emergency conditions becoming more crucial. After a disaster, selecting most critical post-disaster reconstruction projects among available is challenging decision due resource constraints. There strong evidence that success many compromised by inappropriate decisions when choosing projects. Therefore,...
Abstract The current paper presented a stochastic integrated queueing-inventory-routing problem into green dual-channel supply chain considering an online retailer with vehicle-routing (VRP) and traditional retailing channel M/M/C queueing system. A mixed-integer non-linear programming model (MINLP) is to address the VRP suggested makes decisions about optimal routing, delivery time interval customers, number of servers in retailers, inventory replenishment policies, retailers’ price. For...
The hub location problem appears in a variety of applications including airline systems, cargo delivery and telecommunication network design. Hub problems deal with finding the facilities allocation demand nodes to these located facilities. We consider hub-and-spoke crowdedness or congestion system. transportation time rate arrived trucks each are random variables. In addition, cannot service all simultaneously it has some restrictions like capacity constraint limitations. Hubs, which most...
This article seeks to offer a systematic approach establishing reliable network of facilities in closed loop supply chains (CLSCs) under uncertainties. Facilities that are located this concurrently satisfy both traditional objective functions and reliability considerations CLSC designs. To attack problem, novel mathematical model is developed integrates the design decisions forward reverse chain networks. The also utilizes an effective find robust design. In order make results more...
Most of current logistics network design models in the literature typically assume that facilities are always available and absolutely reliable while practice, they subject to several operational disruption risks. This paper proposes a closed-loop supply chain model, which accounts for both partial complete facility disruptions as well uncertainty critical input data. The proposed model is mixed integer possibilistic linear programming type aims minimise simultaneously total cost opening new...