I classified and presented my research experiences in three sections.
- PhD Program: In this section I briefly explain my PhD thesis and used methods.
- Master Program: Here I introduce an abstract of my master thesis.
- Bachelor Program: In this part I explain the final project and teaching assistant experience.
PhD Program:
In October 2013 and having a grant from Région Rhône-Alpes, France (ARC7), I moved to to the DISP laboratory in engineering school of INSA-Lyon/France to start 3-year PhD program. Here I have started in research project titled "Inventory Routing Problem under Dynamic, Stochastic and Sustainable Considerations".
Among the most common are the problems while all inputs such as demand; are known beforehand. In this case, manager is able to determine the routing and number of delivered product to each customer without facing serious problem. While changes in business conditions happen too quickly today to rely on real-time information to enable manager to make key business decisions. For example, keep inventory levels commensurate with demand to avoid losing customer purchases or select routes with lower traffic to deliver products to customers without delay. The wrong or old information about demand or traffic of routes can throw inventory and routing decisions off, resulting in huge cost, decreasing customer satisfaction and spoilage in some cases. Taking into account real-time information can help manager to know exactly what the inventory, demand, traffic of routes are, even to the latest second.
In order to consider enumerated issues, we need to deal with an approach in IRP to consider parameters which are not known beforehand and will be revealed over time. In order to deal with this aspect of IRP, that called Dynamic IRP (DIRP)
Beside of considering real-time information, in real world managers have to make their decisions by considering different criteria which could be in conflict each other in some cases, such as social criteria, environmental considerations, service level and etc.. It is possible and easier to convert and transfer conflictuel criteria to cost by defining penalty cost for them but in this way the manager loss his/her ability to take balanced decision between cost and mentioned conflictuel issues. IRP becomes analytically more complex when the economic performance challenged with mentioned criteria, particularly when applying it for perishable products. The latter needs a particular additional attention to take into account additional constraints such as the expiration date and the recycling of perished products.
Among the most common are the problems while all inputs such as demand; are known beforehand. In this case, manager is able to determine the routing and number of delivered product to each customer without facing serious problem. While changes in business conditions happen too quickly today to rely on real-time information to enable manager to make key business decisions. For example, keep inventory levels commensurate with demand to avoid losing customer purchases or select routes with lower traffic to deliver products to customers without delay. The wrong or old information about demand or traffic of routes can throw inventory and routing decisions off, resulting in huge cost, decreasing customer satisfaction and spoilage in some cases. Taking into account real-time information can help manager to know exactly what the inventory, demand, traffic of routes are, even to the latest second.
In order to consider enumerated issues, we need to deal with an approach in IRP to consider parameters which are not known beforehand and will be revealed over time. In order to deal with this aspect of IRP, that called Dynamic IRP (DIRP)
Beside of considering real-time information, in real world managers have to make their decisions by considering different criteria which could be in conflict each other in some cases, such as social criteria, environmental considerations, service level and etc.. It is possible and easier to convert and transfer conflictuel criteria to cost by defining penalty cost for them but in this way the manager loss his/her ability to take balanced decision between cost and mentioned conflictuel issues. IRP becomes analytically more complex when the economic performance challenged with mentioned criteria, particularly when applying it for perishable products. The latter needs a particular additional attention to take into account additional constraints such as the expiration date and the recycling of perished products.
In this research we investigated impact of using real-time information (dynamic) in Inventory Routing Problem (DIRP) where economic aspect is challenged by sustainability and service level issues.
The main objective of this research is providing a comprehensive study about the Inventory Routing Problems (IRPs) by considering: uncertainty (demand, costs such as transportation and shortage cost), service level for perishable products, environmental criteria (CO2, waste, recycling, etc.), social issues (risk of accident, vehicle noise emission) and real information (dynamic IRPs). |
We developed three mathematical models where first model attempts to find the best trade-off between three aspects; economic, service level and green criteria while the second model focuses on sustainability in IRPs by making trade-off between social issues and economic aspects. The third model, we work on developing the new model to integrate the concept of dynamic (using real information) in the IRPs.
In order to model each problem and solve the proposed models the following methods are used:
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Master Program:
Design of complex product needs designers have ability to share knowledge related to their shared situation. Before sharing knowledge for using designers during the design process, as the first step, designers’ needed knowledge should be available explicitly and is better to be classified based on designers’ needs. This will help designers to access to their needed knowledge easily and rapidly; but most of knowledge is in mind of designers. In this research we try to propose tool classification which helps us for elicitation of designers’ knowledge. These tools are called knowledge elicitation (KE) tools. But, we have to consider knowledge types in design domain for classification of KE tools.
After literature review of knowledge types in design domain, we improved Lundvall classification which was more adapted with knowledge-based needs of designers. This new classification which is based on Lundvall classification is called “Improved classification of Lundvall”. In continue we reviewed KE tools and elicited features of KE tools based on improved classification of Lundvall. After that, we defined some indexes for ranking of KE tools based on knowledge types of experts. In fact, KE tool experts ranked these tools based on determined indexes. After analyzing results of experts’ researches, we classified KE tools based on knowledge types which exist in design domain and designers’ knowledge-based needs.
This classification can be used as knowledge elicitation module in expert systems which is developed for helping designers to access and share needed knowledge during design process.
This classification can be used as knowledge elicitation module in expert systems which is developed for helping designers to access and share needed knowledge during design process.
Bachelor Program:
I was bachelor student from Sep 2002 to Aug 2007 in Industrial Engineering, department of Industrial Engineering, Sharif University of technology, Tehran, IRAN.
Beside of my courses, I succeeded to obtain teaching assistant position for four semesters (72h) in Computer and Information System course. It helped me to have a good experience as teacher.
- B.Sc. thesis: Designing a system for managing exhibition halls.
Beside of my courses, I succeeded to obtain teaching assistant position for four semesters (72h) in Computer and Information System course. It helped me to have a good experience as teacher.