2021-04-13T09:03:30Z
http://jiei.azad.ac.ir/?_action=export&rf=summon&issue=110220
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
A hybrid method to find cumulative distribution function of completion time of GERT networks
S.S
Hashemin
S.M.T
Fatemi Ghomi
This paper proposes a hybrid method to find cumulative distribution function (CDF) of completion time of GERT-type networks (GTN) which have no loop and have only exclusive-or nodes. Proposed method is cre-ated by combining an analytical transformation with Gaussian quadrature formula. Also the combined crude Monte Carlo simulation and combined conditional Monte Carlo simulation are developed as alternative methods of solution procedure. Then, through a comparative study made for different solution procedures, the superiority of hybrid method is indicated. Computing time and accuracy are considered as fundamental factors for comparison purposes.
GERT network
Completion time
Distribution function
Hybrid
Gaussian quadrature formula
Conditional simulation
2005
09
01
1
9
http://jiei.azad.ac.ir/article_511108_973cd4c8a2fa3a27470db368900d4da8.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
An ACO algorithm for one-dimensional cutting stock problem
K
Eshghi
H
Javanshir
The one-dimensional cutting stock problem, has so many applications in lots of industrial processes and during the past few years has attracted so many researchers’ attention all over the world. In this paper a meta-heuristic method based on ACO is presented to solve this problem. In this algorithm, based on designed probabilistic laws, artificial ants do select various cuts and then select the best patterns. Also because of the problem framework, effective improvements has been made to problem solving process. The results of that algorithm in sample problems, show high efficiency of the algorithm in different levels of problems.
One-dimensional cutting stock problem
Ant colony optimization
Trim loss
2005
09
01
10
19
http://jiei.azad.ac.ir/article_511109_3381c2cc86b21345f2e3f2d6f506d356.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
Estimating process capability indices using ridge regression
S
Raissi
R
Noorossana
Process capability indices show the ability of a process to produce products according to the pre-specified requirements. Since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and consider the relationship among them to assess the process ca-pability properly. Hence, conducting process capability analysis in multivariate environment is inevitable; unfortunately, the analysis in multivariate environment is usually complex and requires extensive calcula-tions. Sometimes it is preferable to simplify the analysis by assuming independency among quality character-istics and evaluating process performance with respect to each individual quality characteristic using univari-ate process capability indices such as CP, CPK, CPM, and CPMK. However, this simplification introduces some error in the analysis leading to under or overestimation of the process capability index. This paper models the interrelationship among quality characteristics that are produced in different workstations to provide an over-all process capability index. Ridge residual regression is used as a vehicle to evaluate process capability and helps quality engineers to provide a reasonable quality policy for controlling and reducing variation in quality characteristics.
Process capability indices
Variance propagation
Ridge regression
CP
CPK
CPM
CPMK
2005
09
01
20
27
http://jiei.azad.ac.ir/article_511110_103d91e9c600fa93b655d4312c1bffe7.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
A multi-criteria vehicle routing problem with soft time windows by simulated annealing
R
Tavakkoli-Moghaddam
N
Safaei
M.A
Shariat
This paper presents a multi-criteria vehicle routing problem with soft time windows (VRPSTW) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. In this case, the fleet is heterogene-ous. The VRPSTW consists of a number of constraints in which vehicles are allowed to serve customers out of the desirable time window by a penalty. It is assumed that this relaxation affects customer satisfaction and penalty is equal to a degree of customer dissatisfaction. The VRP, which is an extension of traveling sales-man problem (TSP), belongs to a class of NP-hard problems. Thus, it is necessary to use meta-heuristics for solving VRP in large-scale problems. This paper uses a simulated annealing (SA) approach with 1-Opt and 2-Opt operators for solving the proposed mathematical model. The proposed model is then solved by the Lingo software and the associated solutions are compared with the computational results obtained by the SA ap-proach for a number of instance problems. The obtained results are promising and indicating the efficiency of the proposed SA approach.
Multi-criteria vehicle routing problem
mathematical model
Time windows
Simulated Annealing
2005
09
01
28
36
http://jiei.azad.ac.ir/article_511112_c80e62abda0d889c1b8ce88159eaee13.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
Team size effect on teamwork productivity using information technology
H
Tohidi
M.J
Tarokh
Teams are defined as high performing task groups whose members are actively interdependent and share common performance objectives. This definition suggests that only those groups who perform at high levels due to their collective efforts must be considered as teams. In this paper, a model has been presented for de-termining the effects of information technology in the output of teamwork with Y structure for particular productive organizations.
Teamwork
Performance
Information Technology
Team size
2005
09
01
37
42
http://jiei.azad.ac.ir/article_511113_d45edbf47c4ee7cd7d439d6d8f46f191.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
A fuzzy approach to solve a multi-objective linear fractional inventory model
S.J
Sadjadi
M.B
Aryanezhad
A
Sarfaraz
In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numerical examples.
Multi-objective linear fractional programming
Inventory model
Fuzzy programming
Min operator
2005
09
01
43
47
http://jiei.azad.ac.ir/article_511114_680d150e37e7609ae2bf92339da34156.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
Inverse feasible problem
GH.R
Amin
In many infeasible linear programs it is important to construct it to a feasible problem with a minimum pa-rameters changing corresponding to a given nonnegative vector. This paper defines a new inverse problem, called “inverse feasible problem”. For a given infeasible polyhedron and an n-vector a minimum perturba-tion on the parameters can be applied and then a feasible polyhedron is concluded.
Inverse feasible problem
Polyhedron
2005
09
01
48
49
http://jiei.azad.ac.ir/article_511116_61c973ef8022427354d9abc539908512.pdf
Journal of Industrial Engineering, International
1735-5702
1735-5702
2005
1
1
An efficiency measurement model in fuzzy environments, using data envelopment analysis
F
Molavi
M.B
Aryanezhad
M
Shah Alizadeh
Data Envelopment Analysis (DEA) is a technique used to compare efficiency in various sectors such as hospitals, chain stores, and dealerships. It represents a set of linear programming techniques and uses deter-ministic data (inputs and outputs), in stable conditions. The DEA technique cannot be used when there is data with indeterministic nature, or when there is an environment with dynamic conditions. To address this prob-lem, DEA models can be developed based on linear programming in fuzzy environments (Fuzzy DEA).Most Fuzzy DEA models introduced in the literature are parametric models based on alpha cuts. However, the model introduced in this study is non-parametric and uses fuzzy L-R numbers. From the theory point of view, the objective of this study is to develop a simple and effective Fuzzy DEA model. From the practicality point of view, this model can be applied to assess many issues associated with qualitative factors.
Fuzzy DEA
Efficiency measurement
Ranking model
2005
09
01
50
58
http://jiei.azad.ac.ir/article_511117_80d0954628ed9b425acf89b0f9ea8af7.pdf