2010
6
11
11
75
1

Assembly line balancing to minimize balancing loss and system loss
http://jiei.azad.ac.ir/article_511022.html
1
Assembly Line production is one of the widely used basic principles in production system. The problem of Assembly Line Balancing deals with the distribution of activities among the workstations so that there will be maximum utilization of human resources and facilities without disturbing the work sequence. Research works reported in the literature mainly deals with minimization of idle time i.e. balancing, subject to precedence constraints. Lack of uniqueness in their optimum solutions has led to the present work where minimization of both balancing loss and system loss has been envisaged under the usual precedence constraints. The researchers suggest a generic approach for designing of an assembly line where, with a given number of workstations, one can efficiently arrive at the desired solution under different methods of search like simulation, heuristic etc. Thus, the main aim of this paper is to redefine the objective of the Assembly Line Balancing Problem and sequentially handle Balancing Loss and System Loss. A numerical example has been added to demonstrate the generic nature of the researcher's approach and improvement in the solution set when compared with different standard line balancing methods available so far in the literature.
0

1
5


D
Roy
Professor, Dep. of Business Administration, University of Burdwan, Golapbag, Burdwan, India
Iran


D
Khan
Lecturer, Dep. of Business Administration, University of Burdwan, Golapbag, Burdwan, India
Iran
Balancing loss
Idle time
System loss
Variance of idle time
Slackness
simulation
1

A redundancy allocation problem with the choice of redundancy strategies by a memetic algorithm
http://jiei.azad.ac.ir/article_511023.html
1
This paper proposes an efficient algorithm based on memetic algorithm (MA) for a redundancy allocation problem without component mixing (RAPCM) in a seriesparallel system when the redundancy strategy can be chosen for individual subsystems. Majority of the solution methods for the general RAPCM assume that the type of a redundancy strategy for each subsystem is predetermined and known a priori. In general, active redundancy has traditionally received greater attention; however, in practice both active and coldstandby redundancies may be used within a particular system design. The choice of the redundancy strategy then becomes an additional decision variable. Thus, the problem is to select the best redundancy strategy, component and redundancy level for each subsystem in order to maximize the system reliability under systemlevel constraints. Due to its complexity and NPhardness, it is so difficult to optimally solve such a problem by using traditional optimization tools. To validate the performance of the proposed MA in terms of solution quality, a number of test problems are examined and the robustness of this algorithm is then discussed. Finally, the related results are reported and it is shown that the proposed MA performs well.
0

6
16


J
Safari
Assistant Prof., Dep. of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
Iran


R
TavakkoliMoghaddam
Professor, Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Iran
Memetic Algorithm
Redundancy strategies
Redundancy allocation problem
Seriesparallel systems
1

Fuzzy completion time for alternative stochastic networks
http://jiei.azad.ac.ir/article_511024.html
1
In this paper a network comprising alternative branching nodes with probabilistic outcomes is considered. In other words, network nodes are probabilistic with exclusiveor receiver and exclusiveor emitter. First, an analytical approach is proposed to simplify the structure of network. Then, it is assumed that the duration of activities is positive trapezoidal fuzzy number (TFN). This paper combines the randomness and fuzziness and shows that the fuzzy completion time of alternative stochastic network is a fuzzyvalued random variable. Then, the probability function of network fuzzy completion time and its expected value is defined. Finally, the applications and computations are illustrated in a numerical example.
0

17
22


S.S
Hashemin
Assistant Professor, Dep. of Industrial Engineering, Islamic Azad University, Ardabil Branch, Ardabil, Iran
Iran
Fuzzy completion time
Fuzzyvalued random variables
Probabilistic nodes
Stochastic networks
trapezoidal fuzzy numbers
1

A profit Malmquist productivity index
http://jiei.azad.ac.ir/article_511026.html
1
In some situations the producers desire to maximize total profit of Decision Making Units (DMUs) while the inputs and outputs prices of DMUs change from one time period to another. In this paper, the researchers develop productivity index when producers are going to maximize total profit when the price of inputs and outputs are known.The proposed method uses all price information about inputs and outputs for determining productivity index while previous methods use only cost of inputs to determine index of productivity .Therefore, the proposed Mulmquist productivity index in this paper is more precise than the other Mulmquist productivity index. Here, productivity change is decomposed into profit efficiency and profit technical change. Furthermore, profit efficiency change is decomposed into technical and allocative efficiency change and profit technical change into a part capturing shifts of input and output quantities and shifts of input and output prices. These decompositions provide a clearer picture of the root sources of productivity change. Finally, the proposed fractional programming problems are converted to the linear programming problems. By an illustrative example, we explain the proposed profit Malmquist productivity index.
0

23
30


GH
Tohidi
Assistant Professor, Dep. of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Iran


SH
Razavyan
Assistant Professor, Dep. of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
Iran


S
Tohidnia
M. S. Dep. of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Iran
Data Envelopment Analysis (DEA)
Fractional programming
Malmquist
profit
1

A graphical instrument for performance analysis of contractors
http://jiei.azad.ac.ir/article_511027.html
1
The relationship between the manufacturer and supplier has changed from one of competition into that of greater cooperation during recent years. The selection and evaluation of suppliers are primary and important issues when an enterprise implements Supplier Relationship Management (SRM) and Total Quality Management (TQM). Much research indicates that most enterprises tend to evaluate their suppliers based largely on quality, delivery, and price performance. However, an analysis tool which can simultaneously integrate numerical decision criteria is rare, especially those suitable for evaluating various operational aspects, such as industry categories, purchase types, or production strategies. Based on this reason, an integrated model using multiple performance indices to construct a supplier performance evaluation chart (SPEC) is presented in this study. It is a graphic portrayal that can simultaneously display each supplierâ€™s performance of quality, delivery, and price through the use of a categorical symbol and its location on the SPEC. Based on the expected levels for each evaluation criteria, the manager can mark a target region on the SPEC so that an existing or new supplierâ€™s ability to achieve the preset level is effectively and conveniently indicated. Finally, an illustration is provided as a practical application.
0

31
38


K.T
Yu
Assistant Professor, Dep. of Information Engineering and Informatics, Tzu Chi College of Technology, Hualien, Taiwan
Iran


C.Y
Shen
Assistant Professor, Dep. of Business Administrtion, Ching Yun University, Jungli, Taiwan
Iran


D.K
Huang
Lecturer, Dep. of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
Iran
Manufacturing process quality
Supplier Relationship Management (SRM)
Six sigma
Supplier evaluation
1

Yard crane scheduling in port container terminals using genetic algorithm
http://jiei.azad.ac.ir/article_511029.html
1
Yard crane is an important resource in container terminals. Efficient utilization of the yard crane significantly improves the productivity and the profitability of the container terminal. This paper presents a mixed integer programming model for the yard crane scheduling problem with non interference constraint that is NPHARD in nature. In other words, one of the most important constraints in this model which we can mention to yard crane non interference constraint is that they usually move on the same rails in the yard block. Optimization methods, like branch and bound algorithm, has no sufficient efficiency to solve this model and become perfectly useless when the problem size increases. In this situation, using an advanced search method like genetic algorithm (GA) may be suitable. In this paper, a GA is proposed to obtain near optimal solutions. The GA is run by MATLAB 7.0 and the researchers used LINGO software which benefits from the Branch and Bound algorithm for comparing outputs of GA and the exact solution. We should consider the abilities of the LINGO software which is not capable of solving the problems larger than 5 slots to 3 yard cranes. The computational results show that the proposed GA is effective and efficient in solving the considered yard crane scheduling problem.
0

39
50


H
Javanshir
Assistant Professor, Dep. of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran
Iran


S.R
Seyedalizadeh Ganji
M. Sc., Dep. of Transportation Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
Iran
Container transportation
Genetic Algorithm (GA)
Yard crane scheduling
Mathematical Programming
1

Dynamic modeling to determine production strategies in order to maximize net present worth in small and medium size companies
http://jiei.azad.ac.ir/article_511030.html
1
Determining production rate considering costs and revenues in order to maximize profit is one of the applied problems in small and medium size factories. Mostly existing models in production planning consider production system statically and specify production rate, although the factors determining production rate include many different changes in practice. In fact, by increasing the production rate or mass production, production costs can be reduced. Costs reduction will result in sales price falling. Then, sales price will affect the demand and demand can increase. Demand increase will lead to more income and this process will repeat again. In this paper, a model will be proposed for production system of small and medium size companies regarding costs, revenues and dynamic reaction of systems against changes, by applying system dynamics and Vensim software. Since Iran is a developing country, the model will be analyzed and validated for a medium size factory and then some policies will be presented to improve the factory situation in the future.
0

51
64


B
Kiyani
Assistant Professor, Green Research Center, Iran University of Science and Technology, Tehran, Iran
Iran


P
Shahnazari Shahrezaei
Instructor, Dep. of Industrial Engineering, Islamic Azad University, Firoozkuh Branch, Firoozkuh, Iran
Iran


H
Kazemipoor
Instructor, Dep. of Industrial Engineering, Islamic Azad University, Parand Branch, Parand, Iran
Iran


M
Fallah
Instructor, Dep. of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran
Iran
Dynamic Modeling
Cost parameters
Inventory
Net present worth
production
System Dynamics
1

Determining maintenance system requirements by viewpoint of availability and lean thinking: A MODM approach
http://jiei.azad.ac.ir/article_511032.html
1
Since lean concept has appeared many works have been done on decreasing or even eliminating of wastes such as extra inventory. Although these studies have not taken into account expected availability seriously. So in this paper, a Multiple Objective Decision Making (MODM) model has been developed by viewpoint of these subjects. They are decreasing wastes and increasing system availability. Wastes that have been minimized are maintenance requirements (i.e. labor, spare parts, reserve system and productive maintenance activities) and maintenance system availability that has been maximized is a function of maintenance requirements. A set of Society Anonym Iranian Production Automobile (SAIPA) data has been used to run the case study and test the effectiveness and the efficiency of the proposed model.
0

65
75


S
Ghayebloo
Ph.D. student, Dep. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Iran


H
Babaei
Ph.D. student, Dep. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Iran
Availability
Goal programming
lean
Multiobjective decision making (MODM)
Maintanance