You can do anything you set your mind to.

Benjamin FranklinFounding Father of the United States

Analyzing the Efficiency Score of urban intersections by means of Data Envelopment Analysis (DEA) – Case Study: the city of Mashhad, Iran

Undergraduate Project


Ferdowsi University of Mashhad

Research Abstract

Comprehensive Urban Traffic Management results in expediting the traffic and a decrease in urban accidents. Finding urban vulnerable points such as inefficient intersections would be the first step in the process of Comprehensive Urban Traffic Management. Two possible solutions can be exploited to achieve this aim:

  1. Using parametric methods to find the distribution function and then estimating future by means of regression methods.
  2. Taking advantages of non-parametric methods.

In this research, urban intersections have been surveyed as the potential points for occurring accidents, relying on relative efficiency concept. Suggesting a new approach for taking the accidents into consideration according to the environmental, geometrical circumstances is the overall objective of this thesis.

This research has been conducted by means of Data Envelopment Analysis (DEA), which does not require to find distribution function and consider some assumptions, compared with parametric methods. This is a case study survey research on 25 intersections in Mashhad, Iran with the greatest number of accidents over the course of March 2008 to March 2009 (1387).

The current methods used in Iranian Departments for Transportation mainly rely on weights assigned to the different sorts of accident based on their severity. These selected point are classified as “Black Traffic Points” with reference to these methods.

In this research, it has been revealed that some point can be efficient if they compare with homogeneous ones. Thus, this method leads to better results than the current one. Ultimately, sensitivity analysis has been carried out on obtained results.

Keywords: Data Envelopment Analysis, Efficiency, Urban Intersections, Urban Accidents

Feasibility Study of the first Epidermal Growth Factor (EGF) manufacturing plant in Iran

Supervisor: Dr. H. Koosha

Feb. 2014 – Jul. 2014

Ahmad KazemiTeam memberLinkedin

Abstract of the Feasibility Study

The following Feasibility Study report has been performed in spring 2014, supervised by Dr. H. Koosha, assistant professor of Ferdowsi University of Mashhad. In this project, we aimed to prepare a feasibility study of establishing an Epidermal Growth Factor (EGF) manufacturing plant in Iran, considering engineering, financial, social and other contributing factors.

To conduct this research, we tried to use the existing manuals published by UNIDO. This provided us with the opportunity to consider and estimate all the costs and update them easily. The ultimate goal of the project was to evaluate the level of profitability of the project, considering all cash flows, revenues, costs, net profits and so forth. An executive summary of the project is presented as follows:

Executive Summary Report

Simulation of AGVs’ motion path in a manufacturing plant using Arena discrete-event simulation software

Supervisor: Dr. M. Ranjbar

Feb. 2014 – Jul. 2014

Ahmad KazemiTeam memberLinkedin

Abstract of the Project

The problem is presented as follows:

A fleet of AGVs (Automated Guided Vehicles) services 5 workstations in series by transporting parts on fixtures from one workstation to the next, remaining with a part from the pickup point through all workstations to the offload point. The incoming staging conveyor, the AGV guide path, the five workstations (Α-E), and the off-load conveyor are shown in the following schematic (not to scale):

AGVs’ travels are in a clockwise direction. Initially, all are empty and queued at the incoming conveyor at the “On” point. The workstations are labeled A–Ε. Parts on fixtures are staged on the incoming conveyor and picked up by an AGV at the point labeled “On”. The AGV then travels to machine A and stops at the point marked on the guide path. The part and fixture remain on the AGV during processing, then travel together to the next workstation. After processing is completed at workstation E, the AGV travels to the point labeled “Off” the part with fixture is automatically unloaded onto the offload conveyor, and the empty AGV queues at the point labeled “On” for the next part.

It should be assumed that the incoming conveyor remains full. It is 15 feet long and can hold 3 parts with fixtures, each taking 5 feet of conveyor space. Therefore, when one part with fixture is picked up by an AGV, another part and fixture are placed on the end of the conveyor. Pickup time is 30 seconds. The incoming conveyor runs at 30 feet per minute.

When a part has completed processing at all workstations and has been transported to the offload point labeled “Off” the offload operation takes 45 seconds. The offload conveyor itself runs at 30 feet per minute. The parts and fixtures, although taking up a space of 3 feet by 3 feet, require 5 feet on the conveyor.

Initial workstation placements are shown in approximate fashion, with no exact locations given Constraints are that each workstation must be placed along the straight section of guidepath on which they are shown on the schematic, with the AGV stopping point no closer than 5 feet from the entrance to or exit from a curve. The incoming and offload conveyor must be placed as shown, with the offload point 20 feet from the end of the preceding curve and the pickup point 40 additional feet to the right. Otherwise, AGV stopping points at workstations can be placed at any desired location on the straight section of guidepath.

AGVs travel at 15 feet per second and accelerate and decelerate at 3 ft/sec/sec. They are 7 feet in length and queue 8 feet apart (1 foot gap between two AGVs) when waiting for the processing position at a workstation and when in the pickup/offload position at a conveyor.

At each of the workstations, processing-time-per-part, mean-time-to-failure (MTTF), and mean-time-to-repair (MTTR) are as follows:

Detailed data is not available, so certain assumptions regarding time to failure and time to repair are made: Assume that actual time to failure is exponentially distributed, with the specified mean (MTTF). Assume that repair time requires a maintenance person and that there is only one available. Actual repair times are uniformly distributed, with the mean as shown and a half-width of one-half the mean. Time to failure is measured against wall-clock time, not against station-busy time. After a repair, any remaining processing time is taken, and the part continues.

In this project, we aimed to simulate the maximum system throughput, to calculate the number of required AGVs, to determine the best workstation placement (within the stated constraints), and to estimate the simulation run period. This project was accomplished using C++ as well as Arena.

Implementation of a Clients Information System for Kalali Law Firm

Supervisor: Dr. B. Rezaee

Feb. 2014 – Jul. 2014

Ahmad KazemiTeam memberLinkedin
Reza RezaeiTeam memberLinkedin

Abstract of the Project

The proposed Law Firm Information System is an information platform designed for a law firm in Iran to handle its official and management business. This system can not only exercise management over administration, personnel, customer, resource of the law firm, but also process cases, dossiers, law documents and schedules intelligently, which helps the lawyers working at this firm to manage numerous and complicated information efficiently, and improve day-to-day practices as well as the management of the firm.

The main objectives of the system are explained as follows:

  • Systematic data capture and data management
  • Increase efficiency
  • Electronic paper trail
  • Security and data access privileges
  • Other utilities

This Client Information System has been designed and implemented using MS Access 2013.

Facilities Planning for Peugeot 405 wheels manufacturing line – Mashhad Wheels Manufacturing Co.

Supervisor: Dr. F. Dehghanian

Feb. 2013 – Jul. 2013

Reza RezaeiTeam memberLinkedin
Hasan MohammadzadehTeam memberLinkedin

Abstract of the Project

In order to enhance the market competitiveness, enlarge the auto-wheel and motor-wheel production capacity, an improvement project regarding the Plant Layout was defined by Mashhad Wheels Manufacturing Co., carried out by a group of Industrial Engineering students. It was beneficial for MWM Co. to implement a study of material flow in their company as they intended to develop a new manufacturing line to produce Peugeot 405 wheels for IKKCO. Thus, they required novel ideas leading to streamline their critical business processes such as Production, Procurement and most importantly, Logistics.

This was a very important project because of its long-term consequences. Hence, In this project, we aimed to conduct an extensive survey for production equipment replacement in order to maximize the productivity. We had to deal with the limits of the company and consider the following factors in reaching the aim:

  • Economies in Handling
  • Effective Use of Available Area
  • Minimization of Production Delays
  • Improved Quality Control
  • Minimum Equipment Investment
  • Avoidance of Bottlenecks
  • Better Production Control
  • Better Supervision

This project was implemented and approved by MWM Co. in Spring 2013.