دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Evaluation and Prioritization of Suppliers Adopting a Combined Approach of Entropy, Analytic Hierarchy process, and Revised PROMETHEE (Case Study: YOUTAB Company)
1
20
FA
Maghsoud
Amiri
Faculty of Management and Accounting, Allameh Tabataba'i University,
mg_amiri@yahoo.com
N
Farhad
Hadinejad
Faculty of Management and Accounting, Allameh Tabataba'i University,
farhad_hdng@yahoo.com
Y
Shiva
malekkhoyan
Faculty of Management and Accounting, Allameh Tabataba'i University,
ShivaMalekkhoyan@yahoo.com
N
In Supply chain management, decision making for the selection of suppliers is of such a key importance that it has developed into a strategic objective for organizations in recent years. The issue of selecting a supplier, due to multiplicity and diversity of qualitative and quantitative indices, is a multi attribute decision making question and as a result, known techniques of this field of study can be used in the process of problem-solving as well. The present study intends to present a new and scientific algorithm for evaluation and selection of suppliers by combining multi attribute decision making techniques and improving their implementation process. For this purpose, similar studies were reviewed in the first step and then, assisted by organizational connoisseurs, 8 important and effective indices were extracted for the selection of suppliers: price, quality, good delivery, geographic location, payment terms, device technological capabilities, and after-sales services. In the second step using real data provided by YOUTAB Company, the suggested algorithm was explained. To this end, firstly, applying Entropy technique (completing decision matrix by Company's experts), initial weight of indices was extracted; then, with the help of AHP (conducting an opinion poll of the company's chief executive officer) a new weight for indices was obtained and then combined with initial weights so that the final weights could be calculate. Therefore, revised PROMETHEE technique was used to evaluate the four existing suppliers and analyze the results achieved.
Entropy, PROMETHEE, Multi Attribute Deciding Making, Supply Chain, Analytic Hierarchy Process.
http://jamlu.liau.ac.ir/article-1-1295-en.html
http://jamlu.liau.ac.ir/article-1-1295-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Presentation of a model for solving multi-objective programming problems using the hyperbolic membership function
21
33
FA
hadi
nasseri
University of Mazandaran
nasseri@umz.ac.ir
Y
salim
bavandi
University of Mazandaran
salimbavandi@yahoo.com
N
Since most real-world decision problems, because of incomplete information or the existence of linguistic information in the data are including uncertainties. Stochastic programming and fuzzy programming as two conventional approaches to such issues have been raised. Stochastic programming deals with optimization problems where some or all the parameters are described by stochastic variables. In this paper, a method is provided for solving multi-objective stochastic programming Where the unknown parameters have been considered as random variables normal. In this model, it is assumed that the parameters specified by the relevant professionals. Since there aren't enough ways to solve such problems directly, the corresponding model using chance-constraint approach to convert to a certain multi-objective problem. Then, a fuzzy programming technique for solving the certain multi-objective model. In this paper, In this paper, the membership function is used hyperbolic. The final method can be solved by standard methods of nonlinear programming. Finally, numerical examples are provided to illustrate the operation of the proposed method.
Stochastic programming, fuzzy programming, chance-constraint approach, hyperbolic membership function.
http://jamlu.liau.ac.ir/article-1-1541-en.html
http://jamlu.liau.ac.ir/article-1-1541-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Optimal decision in selected gamma model under a generalized loss function
35
44
FA
azadeh
kiapour
islamic azade university, babol branch
kiapour@baboliau.ac.ir
Y
mehran
naghizadeh qomi
university of mazandarn
m.naghizadeh@umz.ac.ir
N
Let $Pi_1,Pi_2$ be two independent gamma populations, where $Pi_i$ has the unknown scale parameter $theta_i$, and the common known shape parameter $alpha>0$. Let $X_{(1)}=min(X_1,X_2)$ and $X_{(2)}=max(X_1,X_2)$. Suppose the population corresponding to the largest $X_{(2)}$ or the smallest $X_{(1)}$ observation is selected. The problem of interest is to estimate the scale parameters $theta_M$ and $theta_J$ of the selected gamma population under a general asymmetric loss function. We characterize admissible and inadmissible estimators of the form $cX_{(2)}$ (or $cX_{(1)}$) within the subclass of invariant estimators of $theta_M$ (or $theta_J$). We derive generalized Bayae estimators of $theta_M$ and $theta_J$ and show that they are linear admissible estimators. Then, we Apply the results for censoring data.
Admissible decision, Gamma distribution, censored data.
http://jamlu.liau.ac.ir/article-1-1060-en.html
http://jamlu.liau.ac.ir/article-1-1060-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Providing a hybrid model to evaluate and select suppliers based on the criterion loss and the preferential structure of the decision-maker
45
65
FA
Mehran
Dodkanloo milan
Urmia University of Urmia
dodkanloo@yahoo.com
N
Saeid
Jafarzadeh-Ghoushchi
Urmia University of Technology
s.jafarzadeh@uut.ac.ir
Y
Selecting the right suppliers is one of the most important decision-making problems to achieve competitive advantage in the supply chain of every company and organization. In order to achieve these goals, the decision-makers (DMs) should apply the best method and accurate criteria for analyzing and solving supplier selection problems. Meanwhile, due to their flexibility, the use of hybrid models has always been welcomed. The present paper employs the integrated analytical hierarchy process (AHP) technique, Taguchi loss function, and multi-choice goal programming (MCGP) with utility functions to evaluate and select the best supplier. The proposed model will enable the decision-maker to choose the appropriate supplier(s) based on the lowest loss and the highest level of utility to achieve the most suitable policy for his goals.
Analytical hierarchy process (AHP), Multi-choice goal programming (MCGP), Supplier selection, Taguchi loss function, Utility function
http://jamlu.liau.ac.ir/article-1-1449-en.html
http://jamlu.liau.ac.ir/article-1-1449-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Cascade rectangle algorithm and transposition matrix in the cycled shortest path networks.
67
87
FA
Asghar
Aini
Sharif University of Technology
ainiasghar@gmail.com
Y
Kourosh
Eshghi
Sharif University of Technology
Eshghi@sharif.edu
N
Shortest path problem is among the most interesting problems in the field of graph and network theory. There are many efficient matrix based algorithms for detecting of shortest path and distance between all pairs of this problem in literature. In this paper, a new exact algorithm, named Cascade Rectangle Algorithm, is presented by using main structure of previous exact algorithms and developing some new techniques. In cascade rectangle algorithm, all mathematical calculations and operations execute in multi rectangle structure. This algorithm is an efficient exact algorithm with simple procedure and fast running time. Furthermore, a new matrix on the basis of route matrix, called Transposition Matrix, is defined to apply the sensitivity analysis and reoptimization of the all pairs shortest path networks. Finally, one illustrative example is also solved to show the details of cascade rectangle algorithm, floyd-warshall algorithm, revised matrix algorithm and Transposition Matrix step by step.
Cycled shortest path networks algorithms, Cascade algorithm, Revised matrix method, Floyd-Warshall algorithm, Revised cascade method
http://jamlu.liau.ac.ir/article-1-1318-en.html
http://jamlu.liau.ac.ir/article-1-1318-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
A framework for evaluating the performance of managers using fuzzy TOPSIS and fuzzy Date Envelopment Analysis (DEA)
89
107
FA
m.ebrahimpour@guilan.ac.ir
Y
akbarimohsen@gmail.com
N
abdollahi.atefe1370@gmail.com
N
vida.movahed@gmail.com
N
This research in terms of purpose is an applied study and in terms of method is a descriptive-analytical study. At first, by reviewing domestic and foreign literature, 84criteria were identified for assessing the performance of managers. After obtaining experts opinion (in company studied), 27 sub-criteria in 5 main groups or criteria were selected to assess the performance of managers (director personality traits, communication skills, decision making skills, management skills and professional capabilities and skills). then, using the fuzzy TOPSIS technique and obtaining 11 experts opinion, main criteria and sub-criteria were prioritized, and the weight of each criteria was calculate, the main criteria "decision making skill of managers" , and sub-criteria "consultation and participation of employees in decision making" gained the highest rating among the identified criteria.
managers Performance Evaluation, Fuzzy Set, Fuzzy Topsis, Fuzzy DEA.
http://jamlu.liau.ac.ir/article-1-1440-en.html
http://jamlu.liau.ac.ir/article-1-1440-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
A numerical method based on Pascoletti-Serafinii scalarization for constructing Pareto frontier in multi-objective optimization problems
109
127
FA
Armin
Ghane-Kanafi
Islamic Azad university of lahijan
arminghane@gmail.com
Y
esmaeil
khoram
eskhor@aut.ac.ir
N
multi-objective optimization, Pareto front, Pascoltti-serafini scalarization, non-linear and non-convex optimization
http://jamlu.liau.ac.ir/article-1-1067-en.html
http://jamlu.liau.ac.ir/article-1-1067-en.pdf
دانشگاه آزاد اسلامی واحد لاهیجان
Journal of Operational Research In Its Applications ( Applied Mathematics ) - Lahijan Azad University
2251-7286
2251-9807
14
4
2017
12
1
Employing Bootstrap Data Envelopment Analysis and LSW Algorithm to Estimate Iran’ Manufacturing Industries’ Efficiency
129
148
FA
Mohammad Nabi
Shahiki Tash
Sistan & Balouchestan University
Mohammad_tash@eco.usb.ac.ir
N
Javad
Shahraki
Sistan & Balouchestan University
shahraki@usb.ac.ir
N
Mostafa
Khajeh Hassani
Sistan & Balouchestan University
mostafa.khajehhasani@yahoo.com
Y
This study intends to estimate bias corrected efficiency, technical efficiency, managerial efficiency and thus scale and confidence intervals associated with them, using input oriented data envelopment analysis approach and LSW algorithm. Results show the average of scale efficiency of our country’s industry section is 93% and except for recycling industry (code no. 37), furniture and unclassified artifacts (code no. 36), scale efficiency is more than 90% which indicates the main cause of technical inefficiency in industry sector is managerial inefficiency. Furthermore, almost 15% of our country’s industries are managerially 100% efficient and operate quite successfully and about 5% of industries operate with a managerial efficiency of less than 60% and the lowest managerial efficiency scores are of machinery industries (code no. 2922) and textiles finishing industries (code no. 1712) as lower than 0.3.
Data envelopment analysis, Bootstrap resampling, Industry sector, efficiency, natural resources, Bias correction
http://jamlu.liau.ac.ir/article-1-1126-en.html
http://jamlu.liau.ac.ir/article-1-1126-en.pdf