@article { author = {Ghazi moghaddam, Hamidreza and Nasehi far, Vahiod and Dehdashti Shahrokh, Zohreh and Taghavifard, Seyed Mohammad Taghi}, title = {Developing an integrated distribution channel model for fast moving consumer goods manufacturing and importing companies in Iran}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {1-19}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {One of the challenges facing supply chain management in Iran is the distribution system. In this regard, fast moving consumer goods are a group of commodities, which strongly require a coherent and efficient distribution mechanism. The purpose of this study was to propose a conceptual model to design a goods distribution channel for fast moving consumer goods manufacturing and importing companies in Iran based on the grounded theory. At the model design step, an open-ended interview was carried out with 19 marketing, sales and logistics experts, desired codes were extracted from the responses using open coding and finally, each of the extracted codes was assigned to a concept. After this step, the extracted concepts based on the paradigm model were assigned to different categories including causal conditions (organizational issues), pivotal issues (pivotal distribution channel issues), strategies (channel design and maintenance strategy), contextual conditions (macro environment issues), confounding conditions (micro environment issues) and consequences (functional outcomes) using axial coding, and a conceptual model was developed. At the quantitative model assessment step, structural equation modeling was used. For this purpose, a questionnaire consisting of 81 items was developed and distributed among the marketing and supply chain experts, and a total of 67 questionnaires were returned. According to the results, the relationship was significant between organizational issues and pivotal distribution channel issues; pivotal distribution channel issues and channel design and maintenance strategy; channel design and maintenance strategy and functional outcomes; macro environment issues and organizational issues and channel design and maintenance strategy; and finally, micro environment issues and channel design and maintenance strategy.}, keywords = {Distribution Channel,fast moving consumer goods,Grounded theory,structural equation modeling}, url = {https://www.ijiems.com/article_106255.html}, eprint = {https://www.ijiems.com/article_106255_988b1828eb3e87c2d9bdc1eaa6d2f7f5.pdf} } @article { author = {Alizadeh, Mehdi and Sharbafi, Farnaz and Paydar, Mohammad Mahdi}, title = {A bi-objective natural disaster blood supply chain network considering blood transfusion: A case study in Babol}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {20-40}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {Mismanagement of the blood supply chain is one of the reasons that intensifies the crisis during natural disasters. In this paper, a multi-echelon blood supply chain consisted of donors, portable blood facilities, blood transfusion centers, hospitals, and blood receivers, is considered. The fact that in addition to hospitals that help injured people, childbearing medical centers also have significant demand for blood is also considered in the proposed model. In case of a disaster, roads or medical centers may be devastated by incidents such as earthquakes and floods. The presented model is shown to be capable of proposing alternative routes and medical centers. Since blood is highly perishable, considering the time needed for processing the received blood and minimizing the amount of wasted blood are critical. The model consists of two objective functions: the first considers the economic dimensions of the supply chain and the second focuses on minimizing the blood transfusion time from portable facilities to the hospitals. The proposed bi-objective model is solved using the lexicographic method. The results obtained from a case study in Babol show the applicability of the model and provides some managerial insights to the problem.}, keywords = {blood supply chain,Blood transfusion,Location-allocation, Bi-objective}, url = {https://www.ijiems.com/article_106254.html}, eprint = {https://www.ijiems.com/article_106254_5fc8349f0009a660db94a137ea514bc8.pdf} } @article { author = {Divsalar, Ali and Jokar, Amirhossein and Emami, Saeed}, title = {Operating Room Scheduling considering Patient Priority: Case of Shomal Hospital in Amol}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {41-52}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {Nowadays, hospitals are seeking to reduce their costs and to improve their financial circumstances. They are looking to reach the highest level of patient satisfaction as well. Operating rooms are one of the most critical departments and a great source of income in hospitals. In this research, an operating room scheduling problem is studied, which considers patient priorities based on a real case study. The problem comes from a medium-size private hospital in the north of Iran. To tackle this problem, a mixed-integer-program model is presented. The model considers the hospital’s resources and constraints as well as patients’ priority according to their age and the type of operation they need. In this model, assigning elective patients to operating rooms and the sequence of patients' surgeries have determined to minimize the surgeon waiting time as the objective function. The model is implemented in Cplex 12.9 software, and the efficiency of the model is shown by comparing the obtained results with the current situation. Real data of one week from the hospital is used to prove the efficiency of the model. Analyzing the results show a 35 percent improvement compare to the hospital's current scheduling method.}, keywords = {Operating room scheduling,Patient priority,Surgery department,mixed integer programming,Shomal Hospital, Amol}, url = {https://www.ijiems.com/article_106256.html}, eprint = {https://www.ijiems.com/article_106256_bcdc111de94ba5531e1e46bde695e4ed.pdf} } @article { author = {Jafari, Mostafa and Mohammadpour Omran, Mohammad and Jahani, Ehsan}, title = {Advertising Differential Games: a Review on Models}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {53-65}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {During the recent years, various research studies have been conducted on modeling the dynamic advertising process in the business realm. The competitive environment of this process has mostly been modeled using game theory, especially differential games with a capability of modeling the conflict in a dynamic environment. The present study aims to survey various types of differential game modeling and present the research gaps in this domain. To this end, 113 papers published between 1960 and 2019 are reviewed. The papers are classified based on five factors: the equilibrium type ( Nash / Stackelberg ), solution approach ( open-loop/closed-loop/feedback ), certainty state (deterministic /stochastic), the number of players (duopoly/oligopoly), and time horizon (finite/infinite) and are described using pivot charts. These five factors play a pivotal role in solving dynamic differential games. Finally, the key papers and the available research gaps are recognized and recommendations for performing future studies are presented.}, keywords = {Advertising competition,Differential game,Dynamic game}, url = {https://www.ijiems.com/article_106257.html}, eprint = {https://www.ijiems.com/article_106257_fa18d4752849b7e88d07facc460bed57.pdf} } @article { author = {asadi, samira}, title = {Soft systems methodology approach to IS change management}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {66-80}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {The paper shows that how soft systems methodology was used to restrict and improve the traditional change management in the case of information system. It discusses the relationship between soft systems methodology and IS change management, examines the problems faced in using this methodology in action research and discusses how soft systems methodology could be effectively applied by management to manage changes in information system project effectively. The change management model could be used in the case of information system changes. The changes that are complex, somehow unknown ,vague and of a social nature they can be identified through making the soft systems methodology part of the change model and through the active participation of involved parties. Lastly, the framework could be adapted to fit a specific organization’s circumstances. This can be achieved by reflecting on previous change processes and learning from past experiences. If necessary, enhancements or alterations could be made to the framework.}, keywords = {Soft System Methodology,Change Management,Information System}, url = {https://www.ijiems.com/article_106258.html}, eprint = {https://www.ijiems.com/article_106258_597b063d3caf4ae484e7ad9d256c9857.pdf} } @article { author = {Rahimnezhad, Farideh and Chaharsooghi, Seyed Kamal and Seyfi Sariqaya, Mehdi and Sheikhi, Mohammad}, title = {Application of community detection in stock market analysis}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {81-91}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {Nowadays, in accordance with the recent research, the stock market has a lot of data that is constantly fluctuating. Data analyzing and separating them into distinct groups is time-consuming and difficult for investors and managers. In this study, techniques of community detection are used to simplify stock market analysis. For this purpose, Tehran stock exchange has been selected and after collecting the latest price of transaction data, a correlation network of stock return has been developed. Then, using community detection, cohort companies were identified and it became clear that the stock of the same industry belonged to a common group. Therefore, it can be said that the correlation between stock prices of companies largely depends on the industry in which these companies are active. Hence, it can be concluded that the community detection technique works completely logically and its application will facilitate and accelerate the analysis of stock market data.}, keywords = {community detection,Complex Network,Modularity,Stock market,stock return correlation}, url = {https://www.ijiems.com/article_118104.html}, eprint = {https://www.ijiems.com/article_118104_3e6cf4e0d9795626de2402a26e08e0de.pdf} } @article { author = {Islam, Mohammad and Alam, Md. and Uddin, Mohammed and Faruque, Gazi}, title = {Three Stage Supply Chain Coordination and Profit Optimization of Agricultural Products in Bangladesh}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {92-104}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {ABSTRACT This research presents four different mathematical formulations for the coordination and three stage supply chain optimization of agricultural products in Bangladesh. In this analysis, we assumed that the producers-retailers-distributors are coordinated by mutually sharing their information. To developed a Mixed Integer Linear Programming (MILP) model and analyze the situation of insufficient production capacity for the producer as the reason for shortages. The producers will coverage these shortages by outsourcing, which decided very beginning of the SCN. This plays a very important role in deciding so as to mitigate these challenges and to extend the system performance and individual gain of the SCN. The coordinated mechanism among the members of the market players has been projected to realize the best answer. The SCN was modeled using a formulation in mixed integer linear programming (MILP) that maximizes the total profit and also to estimate the product distribution of different locations which satisfy most of the customer demand. The formulated MILP model were solved by a mathematical programming language (AMPL) and results obtained by appropriate solver MINOS. Numerical example with the sensitivity of several parameters has been deployed to validate the models. Results show that after coordination, the individual profits could be increased without any extra investment.}, keywords = {Keywords: Supply chain,optimization,Mixed integer linear program,Coordination,Agricultural products,Uncertainty}, url = {https://www.ijiems.com/article_118107.html}, eprint = {https://www.ijiems.com/article_118107_fd4360a1a8c095d02081d05c72be5c7a.pdf} } @article { author = {Dehghan Bahraghani, Abbas and Feylizadeh, Mohammad Reza}, title = {Water Consumption Analysis Using Data Mining Techniques A Case Study: Fasa}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {105-114}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {Optimizing the pattern of water consumption and institutionalizing the right structure in the consumer community will lead to improving the quality life parameters, eliminating the unnecessary financial costs and paving the path to global economic justice in the country. The first step to reach this goal is to analyze the behavior and detect the interests of the consumer community. Such an informational background will make it easier to find appropriate solutions to improve the consumption pattern. Data Mining (DM) is one of the most efficient methods to detect and dig out useful structures existing behind raw information with minimum human error. The retrieved conclusions can help analysts solve decision-making problems in various organizations. The goal of this research is to determine the behavior patterns of water consumers in a given period. Data mining method will be used to analyze the consumers’ behavior in between 2015 and 2017. The extracted results about the total consumption of the sample community, the average amount of each user type and their changes will all be shown and reported.}, keywords = {behavior analysis,Water and wastewater,consumers,Data mining}, url = {https://www.ijiems.com/article_118103.html}, eprint = {https://www.ijiems.com/article_118103_93dd5fba71472d9edd1ca8a686509534.pdf} } @article { author = {Heshmati, Zainabolhoda and Salahshour, Ramin}, title = {A Novel Approach for Circular Trade Detection in Mercantile Exchange}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {115-126}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {}, abstract = {The derivatives market having a significant number of investors trading in futures contracts, is vulnerable to manipulation by some perpetrators. Protecting market participants from a prevalent manipulation called circular trading and providing a fair market has always been a challenging task for regulators. This kind of malpractice is represented by the trading behaviors of a group of investors who trade among themselves frequently to increase the price of a commodity and consequently make forged prosperity. This type of securities fraud is also very similar to the well-known pump and dump strategy which involves artificially inflating the price of an owned stock, in order to sell the cheaply purchased stock at a higher price. This paper presents a network-based approach for detecting investors involved in such circular trading in the futures market. This is done initially by constructing the daily networks of investors’ trades, then, extracting all trade cycles of various lengths from these daily networks to arrive at the group of initial suspicious cycle traders. Finally, in order to exclude investors who are randomly involved in suspicious cycles, price fluctuations over time were analyzed. The proposed approach has been conducted on real data from Iran Mercantile Exchange (IME) and as a warning system, has succeeded in detecting anomalous traders effectively.}, keywords = {Circular Trading,Pump and Dump, Anomaly Detection,Trade Networks,Derivative Assets}, url = {https://www.ijiems.com/article_118106.html}, eprint = {https://www.ijiems.com/article_118106_515117fb2b1ea9c3430104c04a690691.pdf} } @article { author = {Gholami, Hadi and Rezvan, Mohammad Taghi}, title = {A memetic algorithm for multistage hybrid flow shop scheduling problem with multiprocessor tasks to minimize makespan}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {1}, pages = {127-145}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.118105}, abstract = {This paper presents an effective memetic algorithm (MA) for a hybrid flow shop scheduling problem with multiprocessor tasks (HFSMT) to minimize the makespan. The problem is modeled as deterministic by a mixed graph. This problem has at least two production stages, each of which has several machines, operating in parallel. Two sub-problems are considered for solving this problem: determining the sequence of jobs in the first stage and reducing the idle time of the processors in the next stages. The developed algorithm uses an operator called Bad Selection Operator. This operator holds the worst chromosomes of each generation and uses them to search in the space of other problems at predetermined timescales. Besides, this algorithm uses a dynamic adjustment structure to improve the ratio of crossover and mutation operators that could reduce the execution time. The efficiency of the proposed MA is investigated by testing it on well-known benchmark instances and also compared with other algorithms introduced in the literature. Computational results show that this algorithm has a good performance on problems which have more than two stages.}, keywords = {Multistage hybrid flow shop,Multiprocessor tasks,Memetic algorithm,Makspan}, url = {https://www.ijiems.com/article_118105.html}, eprint = {https://www.ijiems.com/article_118105_394ca83a8c8feaf478f064bcdae46b2f.pdf} }