A5049157497- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Scheduling and Optimization Algorithms
- Complex Network Analysis Techniques
- Assembly Line Balancing Optimization
- Vehicle Routing Optimization Methods
- Opinion Dynamics and Social Influence
- Facility Location and Emergency Management
- Supply Chain and Inventory Management
- Stock Market Forecasting Methods
- Graph theory and applications
- Forecasting Techniques and Applications
- Energy Load and Power Forecasting
- COVID-19 epidemiological studies
- Urban and Freight Transport Logistics
- Metaheuristic Optimization Algorithms Research
- Quality Function Deployment in Product Design
- Mental Health Research Topics
- Risk and Safety Analysis
- Hydrological Forecasting Using AI
- Complex Systems and Time Series Analysis
- Transportation and Mobility Innovations
- Sustainable Supply Chain Management
- Innovation Diffusion and Forecasting
- Marine and coastal ecosystems
Ohio University
2013-2023
Frostburg State University
2016-2019
Tarbiat Modares University
2012
Nowadays – particularly in systems dealing with hazardous materials (HAZMAT) addition to minimising the cost of operations facility location and routing problems, risk these is considered an important objective. In this paper, a new mathematical model for facilities disposal sites proposed. Also, transporting goods from customers considered. The minimises weighted sum by answering questions: (1) where open which produce HAZMAT; (2) sites; (3) every customer should be assigned; (4) site each...
Cyanobacterial harmful algal blooms (CyanoHABs), mainly composed of the genus Microcystis, occur frequently throughout Laurentian Great Lakes. We used artificial neural networks (ANNs) involving 31 hydrological and meteorological predictors to model total phytoplankton (as chlorophyll a) Microcystis biomass from 2009 2011 in western Lake Erie. Continuous ANNs provided modeled-measured correspondences (and modeling efficiencies) ranging 0.87 0.97 (0.75 0.94) 0.71 0.90 (0.45 0.88) for...
The profitability of every manufacturing plant is dependent on its pricing strategy and a production plan to support the customers' demand. In this paper, new robust multi-product multi-period model for planning proposed. demand considered be uncertain price-dependent. Thus, each price, range demands possible. unsatisfied lost hence, no backlogging allowed. objective maximise profit over horizon, which consists finite number periods. To solve proposed model, modified unconscious search (US)...
In this study, a three‐stage methodology for carton set optimization in e‐commerce warehouses is proposed and evaluated on three DHL Supply Chain warehouses. The includes order cubing, grouping, optimal selection. A modified largest area fits first algorithm cubing proposed. For selection, genetic with novel crossover strategy introduced. results show that the approach can improve shipping cost utilization by 7% 7.8%, considerably carbon footprint of operations, even when number types not changed.
Based on observations made in a cabinet manufacturing plant, multi-objective mixed integer programming model for coordinated warehouse order picking and production scheduling is proposed. To minimize makespan total time the warehouse, non-dominated sorting GA-II (NSGA-II) with modified PMX crossover inverse, insert, swap mutation operators used. Compared to solutions found by Gurobi 7.0, GA obtains more diverse higher quality set of solutions. Moreover, it observed (but not proved) that an...
Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world in numerous industries. According to literature review, these yet be applied restaurant industry. Strategies typically include fundamental technical variables. In this research, inputs were combined into an artificial neural network (ANN) prediction model Models designed forecast 1 week, 4 weeks, 13 weeks future. The...