Multi-objective Relief Chain Network Design for Earthquake Response under Uncertainties
Ali
Bozorgi Amiri
Assistant Professor, University of Tehran.
author
Sohail
Mansoori
MS. Student, University of Tehran.
author
Mir Saman
Pishvaee
Assistant Professor, Iran University of Science and Technology.
author
text
article
2017
per
Nowadays, the population growth has caused the world, all over, to face irrecoverable life/financial losses due to natural/unnatural (man-made) disasters. The humanitarian logistic can, as an important crisis management activity, play a vital role in rescuing people’s lives, transferring the injured/affected people from the affected area to emergency centers, evacuating the homeless, and meeting people’s needs in disaster conditions. In this paper, have been proposed a multi-objective mathematical model for the humanitarian supply chain design problem that minimizes: 1) total number of the injured not transferred to hospitals and total number of the homeless not evacuated from the affected area, and 2) total unmet relief commodity needs. In this model, demand and travel time have been considered as uncertain and robust counterpart model with “box and polyhedral” uncertainty sets have been developed to model uncertainties. The results obtained by the solving deterministic and robust models show that the under each degree of conservatism level, pareto optimal solution were generated. Also, under nominal data and each degree of conservatism level, the robust model performs worse than the deterministic model.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
9
36
https://jimp.sbu.ac.ir/article_87206_b94c7dddbfea1a104c7e38a44c1a9d59.pdf
Identifying and explanation the Indicators of Evaluation of Performance of World-Class Management
Hassan
Farsijani
Associate Professor, Shahid Beheshti University.
author
Neda
Jalalioon
Ph.D, Malaysia University.
author
Mohsen
Mardani
Ph.D Candidate.
author
text
article
2017
per
Organizations are moving through a revolution of change from the industrial age to the information age. It is clear that globalization is not a one-dimensional phenomenon and it is an economic, political, cultural process and as the world moves towards coherence. Attention to different cultures and the recognition of cultural systems and perceptual frameworks in these cultures have not been taken into account only in academic studies; they are in the celestial books, including the Koran (Ma'edeh: 44, Hajj: 14 and 76, Romans: 22 and 12, Hajjarat: 31, Zemer: 34) is also referred to the existence of different social and cultural systems among the tribes and nations. In order to produce world-class products in a competitive manner in international markets, it is inevitable that world - class strategic planning will inevitably determine the functional capabilities of competitors which will provide world - class Industrial strategies. The purpose of this research is to design key performance indicators to evaluate the performance of world - class management. In order to achieve this goal, the results of organizational perspectives and strategic objectives and key success factors were identified through the Analytic Network Process (ANP), and then the indicators by using the Fuzzy Delphi method based on the executive program were selected finally, the priority and weight of the indicators were determined by using Fuzzy TOPSIS technique.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
37
66
https://jimp.sbu.ac.ir/article_87207_5ae1030b21804fba47c37a9dc9011660.pdf
Developing of a Dynamic Network Data Envelopment Analysis Model for Performance Evaluating Banking Sector
Reza
Soleimani Damaneh
Ph.D Student, Tehran University.
author
Mansour
Momeni
Professor, Tehran University.
author
Amin
Mostafaei
Associate Professor, Islamic Azad University, Science and Research Branch Tehran.
author
Mohsen
Rostami Malkhalife
Associate Professor, Islamic Azad University, North Tehran Branch.
author
text
article
2017
per
Data envelopment analysis is a mathematical technique to evaluate the performance of DMUs with similar inputs and outputs. The traditional models don’t consider the internal structure of DMUs and have a black box perspective, so in order to assess the structures with more than one stage, Network DEA (NDEA) models were developed, but these models are static and don’t consider time in the evaluation. On the other hand, Dynamic DEA (DDEA) models that were developed to assess DMUs during the time, consider DMUs in every period of time as a black box. Most of the organizations (such as banks) have the multi stage process and their operation is a continuous process during consequent periods, and using the Network DEA and Dynamic DEA alone is not adequate to assess them. In this study a Dynamic Network DEA (DNDEA) model is developed that considers both the structure and time in the evaluation and two methods are introduced for calculating the efficiency. After developing the model, it was used in an applied study to evaluate the performance of fourteen banks, and the stages efficiency, network efficiency and dynamic network efficiency of them were calculated.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
67
89
https://jimp.sbu.ac.ir/article_87208_ad43dfc874ad7d2a9b70779d58d0e4cc.pdf
Designing a Model for the Measurement of Supply Chain Resilience through SEM Approach
Mostafa
Jahani
MSc Student, Tarbiat Modares University.
author
Abbas
Moghbel Baarz
Associate Professor, Tarbiat Modares University.
author
Adel
Azar
Professor, Tarbiat Modares University.
author
text
article
2017
per
Todays, complexity of business, uncertainties and environmental fluctuations put supply chains against a variety of risks. Therefore, supply chain management should move towards different and innovative approaches so as to enhance its capabilities to deal against these risks. This paper aims to investigate further the concept of resilience and studies in this field and suggest a comprehensive model for measuring resiliency of supply chain through Structural Equation Modeling (SEM) approach. The statistical population in this study is all expert staff of production, distribution and sale in Iran Khodro Company and in order to collect data a questionnaire containing 49 questions with 5-point Likert spectrum was used. The results of the model indicate that flexibility, risk management culture, collaboration, redundancy and agility have the most important role in explaining changes in supply chain and the model was able to explain %99 of these changes. In the end of this study, give some suggestions to improve resilience in supply chain.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
91
114
https://jimp.sbu.ac.ir/article_87209_d926407036059f18431f477896dfc07a.pdf
Causal Loop Model for Problem of Traffic Accident: The System Dynamics Approach
Masood
Rabieh
Assistant Professor, Shahid Beheshti University.
author
Hedayat
Salari
Assistant Professor, School of Medicine, Bushehr University of Medical.
author
Mohammad Mehdi
Karami
M. Sc. Student, Sharif University of Technology.
author
Mostafa
Ziyaei
B. Sc. Student, Sharif University of Technology.
author
Azizolah
Yasoubi
M.A. Student, Shahid Beheshti University.
author
text
article
2017
per
Due to the high rate of Traffic accident and death toll in Iran, recently the case has altered into a major national hitch. Through System Dynamics point of view and examining significant factors like the yearly death toll of vehicle accidents in Iran, the importance of the case gets more vivid. Generally the case beholds various dimensions (Multi Dimensional Case) and special complexities. The study applies “System Dynamics” approach. Having defined the Dynamic problem, considering the “literature review”, and exploring the interviews four groups of major factors were scrutinized as effective and significant. Concentrating on the four main factors, the “Casual Loop Model” was developed. The system was divided to several subsystems (several main sections). Afterward “Casual Loop diagram” was presented for each subsystem. Finally the three proposed strategic policies were introduced to enhance the behavior of main system variables such as set-up “In-charge organization” or leading organization.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
115
143
https://jimp.sbu.ac.ir/article_87210_725f1553762c9181430624e4aba890f1.pdf
Determining and Weighting Resilience Strategies in the Iran Khodro Supply Chain
Kazem
Ravanestan
Ph.D Student, Mazandaran University.
author
Hassanali
Aghajani
Associate Professor, Mazandaran University.
author
Abdolhamid
Safaei Ghdikolaei
Associate Professor, MazandaranUniversity.
author
Mahmood
Yahyazadefar
Professor, Mazandaran University.
author
text
article
2017
per
This research deals with resilient supply chain of Iran Khodro Company. The aim of this study is to determine strategies that are able to prevent the occurrence of stopping Iran Khodro production lines, or if stopped, production lines to be restored with the minimum time to pre-disruption or more favorable state. Furthermore, this study determines the weight of resilience strategies in the Iran Khodro supply chain. In this study all failure modes that have the potential to stop Iran Khodro production lines have been identified through the research literature and expert opinions. In this research fuzzy FMEA and FAAO techniques have been used to determine resilience strategies. Also the weight of resilience strategies was identified using fuzzy DANP technique. 15 strategies have been introduced by experts through FMEA and FAAO techniques in order to make resilient the supply chain of Iran Khodro. Also according to the FDANP technique, the weight of each of these strategies was determined.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
145
172
https://jimp.sbu.ac.ir/article_87211_7df6da9e9f7602afaa612c8408612a6c.pdf
Selection and Solving it with Genetic Algorithms
Moslem
Khakbiz
MSc., University of Yazd.
author
Abbas
Rezaei Pandari
Ph.D., Tarbiat Modares University.
author
Mahmoud
Dehghan Nayeri
Assistant Professor, Tarbiat Modares University.
author
text
article
2017
per
In the selection of a collection of investment assets, the expected utility of investor is determined via risk and return criteria. Regarding the uncertainty of the investor about the future, portfolio diversification is a common path towards risk reduction in investment problem. In this study, not only the Euclidean Distance Criterion (EDI) was introduced to be a measure of portfolio diversification, but also a multi-objective model was designed for portfolio selection. This model intended to maximize the return and diversification of portfolio, and also to minimize non-systematic risk of it. Since this is a non-linear model and in terms of complexity is among "NP-hard", regarding the computational efficiency of the Genetic Algorithms (GA) in optimization, it was used for solving the model. Results from the implementation of the dual-objective model (return and diversification) and triple-objective model (return, diversification, and non-systematic risk) with multiple-repetition showed that the average return of the portfolio selected by perposed model was higher than the favorable level. Investigation into portfolio performance indices indicates the efficiency of the dual-objective model (return and diversification).
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
7
v.
1
no.
2017
173
196
https://jimp.sbu.ac.ir/article_87212_0412d6e0ea4b20c73c4531182d8ba118.pdf