Demand Management using Autoregressive-Time Series Modeling in Mobile Value-Added Services
Mohammad Hossein
Vaghefzadeh
Ph.D student, Amir Kabir University of Technology.
author
Behrooz
Karimi
Professor, Amir Kabir University of Technology.
author
text
article
2018
per
Emerging of Value-Added Services (VAS) as a modern supply sector in the field of mobile networks requires some elements such as content providers, intermediate companies, as well as operators, which called service supply chain. Formation of such service supply chain produces some challenges consist of management and modeling of demand trend, customer behavior and Bullwhip Effect. This paper aims to perform a precise evaluation on trend of demand in the mobile VAS area and also the Bullwhip Effect. Considering Conditional Autoregressive effects on demand trend, it has been recommended to use of ARCH class models in time series analysis. The results of this paper show that ARMA (1,1)/EGARCH (1,1) model is more powerful than GJR and GARCH models in reducing the Bullwhip Effect of this special time series demand.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
9
30
https://jimp.sbu.ac.ir/article_87171_4af05fc110fd83f5a6d080e713e3968a.pdf
Designing the Mechanism for Choosing the Appropriate Maintenance Strategy
Abolfazl
Sherafat
Assistant Professor, Imam Javad Higher Education Institute, Yazd.
author
Ali
Mohaghar
Associate Professor, University of Tehran.
author
Farahnaz
Karimi
B.A., Yazd University.
author
Seyyed Mohammad Reza
Davoodi
Assistant Professor, Dehaghan Branch, Islamic Azad University, Dehaghan.
author
text
article
2018
per
Today, organizations are under tremendous pressure to continuously enhance their capabilities to create value for customers and improve the effectiveness of equipment. Without the proper equipment organization will face major challenges in competition and customer satisfaction. Inappropriate performance of equipment is a phenomenon that any manufacturing organization faces with it. The strategy is selected against this phenomenon, depends on several factors. This issue becomes more important when the production line is continuous. In electricity company providers because of supplying strategic product issue is more complex. In this study, tried to determine the factors affecting the conditions in relation inappropriate performance of equipment to define this phenomenon. Therefor, using a three-stage approach of Grounded theory, with inductive method to study the phenomenon of improper performance of equipment has been studied and with gathering the experts opinion this industry and analyzing relevant data in five categories and 24 subcategories and 90 characteristic this phenomenon has been described and then how to choose appropriate strategies for different conditions explained.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
31
69
https://jimp.sbu.ac.ir/article_87172_2ec151f7c2bd0314f716b7c25b3549f6.pdf
Presenting a Maximum Capture Model by Calculating the Interval Facility Number and Taking into Account the Cost Objective Function
Amir
Alimi
Ph.D student, Ferdowsi University of Mashhad.
author
Mostafa
Kazemi
Professor, Ferdowsi University of Mashhad.
author
Ali Reza
Pooya
Associate professor, Ferdowsi University of Mashhad.
author
Zahra
Naji Azimi
Associate professor, Ferdowsi University of Mashhad.
author
text
article
2018
per
The maximum capture problem seeks to find a suitable location for facilities in the network space and in a competitive condition. In this problem, the new company intends to enter the market with the aim of capturing more demand. In this study, the cost factor is considered to be a separate objective function and a bi-objective model is proposed. The number of facilities parameter is considered to be an interval and for its upper and lower bounds calculations two models are proposed. To obtain upper bound a model with the maximum capture objective and the maximum budget constraint and to obtain lower bound a model with the minimum cost objective and the minimum market share constraint. To solve the proposed model, a goal programming method is used. The steps of the research methodology and modelling are shown in a case study from Yazd city. The results show that if the weight of the objective functions is assumed to be equal and the investor neglect 7 % of the market share, 55% of initial investment could be saved.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
71
83
https://jimp.sbu.ac.ir/article_87173_9f3002ddc5dbf456c929c753568a5aa2.pdf
Multi-Objective Problem of Services Assignment to Bank Clustered Customers
Seyyed Mohammad Ali
Khatami Firouzabadi
Associate Professor, Allameh Tabataba’i University.
author
Seyyed Mohammad Taghi
Taghavi Fard
Associate Professor, Allameh Tabataba’i University.
author
Seyyed Khalil
Sajjadi
Ph.D student, Allameh Tabataba’i University.
author
Jahanyar
Bamdad Soufi
Assistant Professor, Allameh Tabataba’i University.
author
text
article
2018
per
Knowing customer behavior patterns clustering and assigning them is one of the most important purposes for banks. In this research five criteria of each customer including Recency Frequency Monetary Loan and Deferred were extracted from the bank database during one year and then clustered using the customer's K-Means algorithm. A multi-objective model of bank service allocation was then designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction reduce costs and reduce risk of allocating services. Given the fact that the problem does a unique optimal solution and each client feature has a probability distribution function a simulation approach was used to solve it. In order to determine the neighbor optimal solution of the Simulated Annealing algorithm neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research we used Weka and R-Studio software for data mining and Arena for simulation for optimization.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
85
110
https://jimp.sbu.ac.ir/article_87174_4b6b1bec051d72985d4befd1cf65a3b1.pdf
Combination of the Analytic Network Process Method and Multi-Objective Decision-Making in order to Predict and Reduce the Future Risks of Suppliers
Mehrnoush
Monfared
M.A., Department of Industrial Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
author
Mohammad Hosein
Arman
Assistant Professor, Department of Industrial Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
author
Masoud
Barati
Assistant Professor, Department of Industrial Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
author
text
article
2018
per
The essential risks of suppliers increase complexity and vulnerability of supply chain and sometimes cause the disruptions. These risks should be predicted and to coping with them some solutions must be provided beforehand. It is aimed at identifying the disruptive risks in the supply chain of Foolad steel and then decreasing their potential effects for the next four periods. According to experts of the company, the graphite electrode is strategically the most important material as its risks disrupt the supply chain. The weighs of these risks were determined by using ANP and accordingly the most important risk was the risk of non-flexibility of suppliers with a weight of 0.5436. Other risks, the risk of long delivery orders, the risk of low quality and the risk of price increases, have the weights of 0.1911,0.1716 and 0.0937, respectively. Then, a multi-objective function model was developed that each objective function aims to minimize one risk. This model was solved by two methods, absolute priority method and goal programming, and finally the results were compared to each other.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
111
134
https://jimp.sbu.ac.ir/article_87175_8c1990d1f816a2c53a56cd0a59fa915f.pdf
Evaluating Service Quality of Airlines using a Hybrid Fuzzy MADM Approach
Mohammad Reza
Taghizadeh Yazdi
Associate Professor, University of Tehran.
author
Sima
Sabzali Rezaei
M.A. Student, University of Tehran.
author
Mir Seyyed Mohammad Mohsen
Emamat
Ph.D Student, Allameh Tabataba’i University.
author
Hengameh
Alikhani
M.A. Student, University of Tehran.
author
text
article
2018
per
The quality of the services is one of the main factors in the competitiveness of the companies, and managers are keen to measure it accurately so that they can compare themselves with competitors. The purpose of this research is to rank the Iranian airlines in terms of the quality of services provided to travelers on domestic flights. Research previously conducted into service quality is examined in the first part of this study, and the service quality measurement attributes are determined and weighted by using the FAHP method. Then, using the FVIKOR method and based on the opinions of experts, the airlines are evaluated. The results of this study showed that the FAHP extent analysis method may lead to incorrect results. Hence, in this study, the Wang and Chen method is used to calculate the weight of attributes in FAHP. The results showed that responsiveness, compensation procedures, staff attitude and flight safety are more important in measuring service quality. The study showed that the top companies in terms of service quality include Ata, Zagros and Caspian.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
135
164
https://jimp.sbu.ac.ir/article_87176_bb11b6a745fc816cb676eb51f7257580.pdf
Solving a Bi-Objective Multi-Mode Project Scheduling Problem with Regard to Payment Planning and Constrained Resources using NSGA-II Algorithm
Ebrahim
Gholizadeh
MSc. Student, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran.
author
Behrouz
Afshar Najafi
Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran.
author
text
article
2018
per
This research studies the multi-mode project scheduling problem aiming to planning of payments considering limited resources. This model tries to propose a schedule as much as possible close to reality with taking the realistic assumptions into account. In the proposed model, renewable resources (including manpower, machinery, and equipment) as well as non-renewable resources (including consumption and money) are simultaneously considered. Then, the issues of scheduling and planning the project payment with the objectives of increasing the NPV of the project and reducing the completion time of the project in are examined. In doing so, a nonlinear mathematical programming model is presented based on the assumptions made in the problem space, to formulate the problem. Then, to validate the model, several random instances are designed in different dimensions and solved by GAMS software and ε-constraint method. To tackle the problem in large dimensions, we also proposed the NSGA-II algorithm. Finally, efficiency of the developed methodology is measured by comparing the results with ε-constraint method.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
8
v.
2
no.
2018
165
187
https://jimp.sbu.ac.ir/article_87177_6d038de5a95e2524fc35cf66a239a6e6.pdf