A5060968284- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Optimization and Packing Problems
- Scheduling and Optimization Algorithms
- Manufacturing Process and Optimization
- Supply Chain and Inventory Management
- Optimization and Mathematical Programming
- Urban and Freight Transport Logistics
- Transportation and Mobility Innovations
- Facility Location and Emergency Management
- Optimization and Search Problems
- Sustainable Supply Chain Management
- Quality and Supply Management
- Caching and Content Delivery
- Risk and Portfolio Optimization
- Efficiency Analysis Using DEA
- Advanced Combustion Engine Technologies
- Stock Market Forecasting Methods
- Neural Networks and Applications
- Vehicle emissions and performance
- Advanced Numerical Analysis Techniques
- Advanced Queuing Theory Analysis
- Petri Nets in System Modeling
- Iterative Methods for Nonlinear Equations
- Bioeconomy and Sustainability Development
Urmia University
2012-2024
Indian Institute of Technology Delhi
2003-2004
Azerbaijan University
2004
This article presents a fuzzy goal programming-based approach for solving multi-objective mathematical model of cell formation problem and production planning in dynamic virtual cellular manufacturing system. In environment, the product mix part demand change over horizon decomposed into several time periods. Thus, done one period may be no longer efficient subsequent periods hence reconfiguration cells is required. Due to variation necessity cells, (VCM) concept has been proposed by...
In this paper, a multi-objective integer programming model is constructed for the design of cellular manufacturing systems with independent cells. A genetic algorithm multiple fitness functions proposed to solve formulated problem. The finds solutions along Pareto optimal frontier. There are some features that make different from other algorithms used in systems. These include: (1) systematic uniform design-based technique, determine search directions, and (2) searching solution space...
Inadequate supply of energy due to consumers' increasing demand has become one the major problems in societies. Economic growth is a key reason for increase consumption. Although different policies can be employed resolving this problem, optimizing efficiency suppliers addressed as policy regard. This paper presents an adjusted Network Data Envelopment Analysis (NDEA) model evaluating performance chain Iran from production distribution stages. Some suggestions are proposed optimize chain....
This paper presents a new optimisation technique based on genetic algorithms (GA) for determination of cutting parameters in machining operations. The considered this study are speed, feed rate and depth. effect these production time, cost roughness is mathematically formulated. A algorithm with multiple fitness functions proposed to solve the formulated problem. finds solutions along Pareto optimal frontier. Experimental results show that both effective efficient, can be integrated into an...