Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
5
4
2012
01
01
Efficiency Analysis of Public Universities in Iran Using DEA Approach: Importance of Stakeholder’s Perspective
185
197
EN
M.A.
S.Monfared
School of Engineering,Alzahra University,Tehran, Iran
Mahsa
Safi
School of Engineering,Alzahra University,Tehran, Iran
Our primary aim, in this paper, is to propose and investigate, for the first time, the application of Data Envelopment Analysis (DEA) technique in assessing Iranian public universities. We provide an analysis on the importance of the stakeholder’s perspective on the structure of DEA and the variations of efficiency results. For illustrations, we perform efficiency analysis on a sample of public universities in Iran from three different perspectives of importance, i.e., teaching quality, research productivity, and cost efficiency by using available data.
Data Envelopment Analysis,Efficiency,Academic performance
http://www.jise.ir/article_4050.html
http://www.jise.ir/article_4050_eeedcf89ac4e6c65b48bfbc8197548b7.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
5
4
2012
01
01
A Multi-Stage Single-Machine Replacement Strategy Using Stochastic Dynamic Programming
198
207
EN
Mohammad Saber
Fallah Nezhad
Industrial Engineering Department, Yazd University, Yazd, Iran
Seyed Taghi
Akhavan Niaki
Industrial Engineering Department, Sharif university of Technology, P.O. Box 11155-9414, Tehran, Iran
niaki@sharif.edu
Ahmad
Sadegheih
Industrial Engineering Department, Yazd University, Yazd, Iran
In this paper, the single machine replacement problem is being modeled into the frameworks of stochastic dynamic programming and control threshold policy, where some properties of the optimal values of the control thresholds are derived. Using these properties and by minimizing a cost function, the optimal values of two control thresholds for the time between productions of two successive nonconforming products is determined. If this time exceeds the first threshold, the production continues. If it is less than the second one, inspection, repair, or replacement occur. However, if it falls within the control thresholds, then the process of sampling continues. At the end, the application of the proposed methodology is demonstrated using a numerical illustration.
Machine Replacement Policy,Control Threshold Policy,Exponential Distribution,Stochastic dynamic programming
http://www.jise.ir/article_4051.html
http://www.jise.ir/article_4051_a3d15550157ca3ddd1fcdc8e2826c517.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
5
4
2012
01
01
Model and Solution Approach for Multi objective-multi commodity Capacitated Arc Routing Problem with Fuzzy Demand
208
229
EN
Alireza
Eydi
Department of Engineering, University of Kurdistan, Sanandaj, Iran
Leila
Javazi
University of Kurdistan, Sanandaj, Iran
The capacitated arc routing problem (CARP) is one of the most important routing problems with many applications in real world situations. In some real applications such as urban waste collection and etc., decision makers have to consider more than one objective and investigate the problem under uncertain situations where required edges have demand for more than one type of commodity. So, in this research, a new fuzzy chance constrained programming model based on credibility measure for CARP with two objectives: minimizing the number of vehicle and minimizing the total travel cost is formulated. In this model each required edge has demand for more than one type of commodity and also all demands for each commodity are supposed to be triangular fuzzy numbers. Then we develop a multi-objective genetic algorithm using the Pareto ranking technique and hybrid it with stochastic simulation to design an intelligent algorithm to solve the fuzzy chance constrained model. In order to improve the quality of final solutions, we also propose a new heuristic method to generate a good initial solution in initial population of genetic algorithm. Some data sets with fuzzy demand generated randomly are used to evaluate and investigate key characteristics of the new proposed model and solution approach.
Multi objective capacitated arc routing problem,Fuzzy chance constrained
programming,Stochastic simulation,Genetic algorithm,Pareto ranking,heuristic
http://www.jise.ir/article_4052.html
http://www.jise.ir/article_4052_082cd7de52e7eadf2033de3712f33389.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
5
4
2012
01
01
A Queueing-Inventory System with Repair Center for Defective Items and One-for-One Ordering Policy
230
239
EN
Babak
Haji
Department of Industrial and Systems Engineering, University of Southern California, Los Angeles,
California, USA
Alireza
Haji
Department of Industrial Engineering,Sharif University of Technology, Tehran, Iran
ahaji@sharif.edu
In this paper we consider a system consisting of a supplier with a single processing unit, a repair center, and a retailer with Poisson demand. We assume that the retailer applies one-for-one ordering policy with backorders for his inventory control. The retailer’s orders form a queue in the supplier processing unit. We also assume that a certain fraction of the products produced by the supplier are defective and they must be repaired in the repair center before going to the retailer. Further, we assume that the processing time of each unit at the supplier and the service time of each defective item in the repair center are exponentially distributed random variables with known means. The purpose of this paper is to obtain the optimal value of the inventory position of the retailer which minimizes the total cost of the system. To achieve this purpose we consider two cases, Case (1) the ratio of the arrival rate to service rate, at the supplier and at the repair center are not equal and Case (2) these ratios are equal. For both cases, we first derive the long run probability distribution of the number of outstanding orders of the retailer. Then we obtain the average on hand inventory and backorders of the retailer, and derive the long run unit total cost of the system. We also investigate the convexity of this total system cost function and obtain the optimal value of the inventory position of the retailer and present a numerical example.
One-for-one ordering,Defectives,Inventory control,Poisson demand
http://www.jise.ir/article_4053.html
http://www.jise.ir/article_4053_de3c2c29b0b3aa14140e67566c83bbdc.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
5
4
2012
01
01
A Note on Runway Capacity Definition and Safety
240
244
EN
Babak
Ghalebsaz Jeddi
Dept. of Industrial Engineering, Sharif University of Technology, Zip 14588, Tehran, Iran
The following is a discussion on the different aspects of the term capacity as well as a brief look at the commonly used capacity definitions in industrial and operations engineering in general and in Civil Aviation in particular. We maintain that quality factors (including more specifically here, safety) must be explicitly considered in runway capacity definition, and accordingly, we provide a revision on previous perspectives.
Capacity,Air Transportation,Runway,safety
http://www.jise.ir/article_4054.html
http://www.jise.ir/article_4054_e8f904c95f9fc73bf11249ea1b4adfaf.pdf