جستجوی مقالات مرتبط با کلیدواژه « مکان یابی » در نشریات گروه « مدیریت »

Despite significant technological developments in today’s world, it is still plagued by all manners of natural and man-made disasters (such as earthquakes, floods, hurricanes, avalanches, war, terrorism, political unrest, etc.) which not only slow the process of sustainability development but also, when neglected, can inflict terrible and sometimes irreparable damage to a community’s well-being and prosperity. This issue requires an integrated logistics system that is scientifically and comprehensively designed to meet the needs of crisis management; a system with clear and predefined processes in which all components have predefined functions. Providing aid to the injured is one of the most important stages of crisis management, which must be planned before the accident because timely and efficient aid will greatly reduce human and financial losses. In order not to be surprised during natural crises, proper planning should be done in advance and under normal conditions.  Humanitarian logistics (HL) is considered one of the most important issues of disaster operations and management. However, the operations required for humanitarian logistics must be sustainable enough to function well under the uncertain and complex nature of disasters and crises. Many difficulties in the pre-disaster and post-disaster phases bring both human and economic losses, and practically ensuring the efficient design of humanitarian logistics operations seems essential. In this study, considering the importance of planning before disasters and also the mathematical optimization model for locating facilities and relief centers, articles published between the years 2004 and 2023 to examine optimization models in the field of humanitarian logistics have been studied. The purpose of the research is to familiarize with the current research process of humanitarian logistics, especially the optimization problem used to achieve various goals of the location of humanitarian logistics facilities and to provide future research directions.

In order to get an overview of the research fields and to know what articles exist in this field and who has done research in this field and other more comprehensive information, using the Web of Science website, the keywords that are considered in this research, have been searched. Regarding facility location issues, all types of resource location problems are included in this study, and the papers under study are classified into two categories based on deterministic and non-deterministic models.

In the deterministic models table, the type of objective function, decision variables, model type, and solution methods are included. In non-deterministic models, this study primarily covers the stochastic programming approach and robust optimization. Also, in the non-deterministic model’s table, the type of objective function, decision variables, non-deterministic parameters of the model, type of uncertainty, type of model, and solution methods are included. According to the reviewed articles and also by referring to the presented literature review table, it is possible to find the points that have not been addressed or have been addressed less.

Finally, this study can be useful for researchers in understanding the current trend of the optimization problem in humanitarian logistics and modeling techniques. Researchers can easily find out the research gap and help society through their research.

Urban planning in developing countries is limited to providing strategies and policies which are seldom efficient. The lack of preparation in facing crises will lead to an increase of material and moral damages, and the process of recovery from the crisis will take time. Since one of the basic human needs affected by the crisis is having access to a shelter and receiving services in the first hours of the crisis, crisis management support shelters become very effective in providing relief to the survivors. Accordingly, this study investigates the role of urban planning in post-disaster recovery and the site selection of crisis management support shelters in District 3 of Shiraz Municipality. This research is of descriptive-analytical type done through library method to collect the required data. Use of theoretical foundations and research literature as well as the majority of experiences in site selection of crisis management support shelters or temporary settlements would lead to 11 components including population density, land value, type of land use, building quality, neighborhood, building density, multipurpose usage, distance from dangerous activities, access to open spaces, site accessibility and efficiency of infrastructure related to urban transportation in three main criteria, including demographic and economic characteristics, physical and functional characteristics, as well as transportation, accessibility, and urban infrastructures, with the study being evaluated based on these components. In this process, experts' opinions about the components have been obtained by a researcher-made questionnaire and the components have been valued using the ANP method. Then, in the ARC GIS software, base maps have been prepared and integrated. The final output was presented with eight susceptible areas. These areas can be presented in three prioritizations. The priority is allocated to the plannable lands of the Shiraz University of Technology, the plannable lands of the Natural History Museum, and the plannable lands located in the middle of the site. The second priority is Jahannam Garden, Shiraz Central Library, and National Park, and the third priority is Hafiziyah Stadium and the University of Science and Literature.

The events that occur suddenly as a result of natural and human actions and impose hardship on society are called Disasters. In recent years, due to changes in the Earth's climate, the number of natural crises, including earthquakes, floods, storms, etc been increasing. Thus, the need for disaster management and planning is felt more than ever. In this research, the aim is to model and solve the problem of locating local warehouses and allocating and controlling the inventory of normal and perishable items in post-crisis conditions. Because in the real world, the demand for affected areas for any reason, such as the severity of damage to areas and people, the possibility of aftershocks with higher intensity and in a short time after the initial earthquake, and the rate of death is not certain. In addition, in most of the conditions, the budget is not clear for the managers and it depends on the severity of the crisis, the support of humanitarian organizations, and public donations. S the budget is uncertain. Therefore, we considered uncertain demand and budget in this research. For this problem, a mixed-integer linear mathematical model has been developed. To solve the problem, GAMS software and the electromagnetic algorithm have been used for small-sized and large-sized problems, respectively. Numerical results on different examples show the efficiency of the proposed algorithm in terms of time and the quality of results.

Background and objective :

This study aim is to find the optimal location form backup land uses from the perspective of passive defense in Urmia City. This is an applied, descriptive, and analytical study. 

Method :

Data collection was done using documentary data, a field study, and a questionnaire. Participants were 10 experts in this subject, who were selected purposefully. The network analysis process (ANP) was used to analyze the data. A dynamic and comprehensive model was prepared to locate fuel centers, fire stations, and hospitals from the perspective of passive defense. 

Results:

 The findings showed that Ali Gorge neighborhood and a part of the Hezaran neighborhood were suitable places for fire stations. Ali Gorge neighborhood was a completely suitable location for fuel stations. Moreover, the neighborhoods of Ali Gorge and Haft-Asiab were completely suitable locations for the construction of hospitals. 

Conclusion :

It can be concluded that Ali Gorge neighborhood has more suitable conditions than other neighborhoods for locating backup land uses. Therefore, special attention should be paid to this neighborhood by the city managers.

This paper seeks to find the optimal number of hubs and their location to keep the preparation time and congestion in the hubs and costs at a minimum. Also, this study considers the tardiness time for the conditions that the customer's need is not answered in the specified time, which can help to make the problem conditions more realistic. Therefore, in this study, the scheduled time and the real-time system are considered. This paper considers the tardiness and congestion time for hub optimization problems with single, multiple, and multiple direct transport allocations. The decision variables in this model determine the number of hubs, the capacity of the hubs, and their location. Congestion and tardiness also affect service time, especially if the capacity and cost of hubs are limited.
This paper uses a mathematical model to solve the hub problem of optimizing the allocation – location of single, multiple, and multiple with direct transportation. GAMS software is used to find the optimal number of hubs and locations as two objective functions are optimized. The first objective function includes transportation costs, hub setup, and tardiness costs, and the second one consists of the handling time in the hubs and the congestion inside the hubs. The sensitive analysis is investigated for the service time based on the congestion and tardiness time.
This model is tested on AP (Australian Post) data for single, multiple, and multiple with direct shipping allocation models. This study also solves the exact model for 100 nodes allocated to all three models. The hubs' capacity, congestion, and tardiness determine the number of hubs. In this paper, hubs are considered small, medium, and large. Congestion levels are also considered changeable. In addition, a comparison is made between single and multiple allocations concerning cost and capacity limitation to investigate service time. The findings indicate that a hub with limited cost and capacity needs more service time. The lexicography method is also used to convert objective functions into one function.
The more the number of hubs increases, the total costs, including the transportation and hub establishment costs will also increase. Therefore, considering the transportation costs and the establishment of the hub, it can be said that single and multiple allocations can be used in some situations. However, multiple allocations with direct transport have the lowest transportation costs because goods based on the costs are transported through the non-hub and hub nodes. In general, the results indicate that using the multiple allocation model with direct transport can reduce the total transport cost, and a single allocation has the highest transport costs. This paper is helpful for managers and business owners who first want to identify points for building their product or service warehouse. Secondly, they want to have the most optimal type of allocation for transportation from different cities.

This paper aims to efficiently find the number and optimal placement of BTSs in the coverage area such that the implementation cost is minimized, while the user's traffic in the corresponding area and the channel interference constraints are satisfied.

Design/methodology/approach: 

An integer linear mathematical model has been proposed to assign all customer points to transceiver-based stations. The objective function has been assumed to minimize fixed costs while considering a penalty for reducing interference. An optimization solver has been applied to solve the model.

The proposed mathematical model was compared to another existing model in the literature from three points of view: coverage cost, construction costs, and running time. The results indicated that the proposed model has the appropriate efficiency to find solutions to real practical problems. In more detail, the proposed model succeeded to find solutions with less coverage or construction cost in a shorter time, compared with the model in literature, which has been referred to as the SSH model in the paper. However, there have been some samples in which the SSH model overtakes the proposed model in one or two mentioned aspects for comparison.

Research limitations/implications: 

The limitation of this study is that the channel model was considered based on the simple free space path loss model, while the real channel model based on the environmental effects can be suggested for future work.  Another important issue is that for BTS localization design, knowing the status of the real environment leads to the proper design in such networks.

Social/practical implications: 

BTS localization is the most important issue in mobile networks' design. In a practical situation, there is not any software available to design a mobile network in the corresponding coverage area. Therefore, this paper can help communication engineers to implement the proposed approach in a real environment.

Originality/value: 

In this paper, the problem of the optimal location of transceiver-based stations (BTS) in different models in the coverage area has been addressed such that the implementation cost is minimized, while the user's traffic in the corresponding area and the channel interference constraints are satisfied. This has not been considered in the literature. Any of the existing models focus on one aspect to optimize, such as maximizing the coverage, minimizing the interference, and minimizing coverage or construction costs. The novelties of the proposed model are twofold: i) two goals were considered in the objective function, i.e., minimizing construction costs and minimizing interference. Since interference with full coverage is unavoidable, the model added a penalty to the objective function to reduce the interference as much as possible; and ii) it was assumed that there is more than one single type BTS, any of which has different power, radius, and capacity. This makes the model more real and indeed more complicated to solve.

Roadside units are crucial elements of intelligent transportation systems that provide vehicle–vehicle and vehicle–equipment information communication. Due to the high cost of installation, the deployment of roadside units is the most critical. Aim of this study is developing a model to optimize of roadside units placement to achieve maximum coverage. A multi–objective mathematical model presented, based on the three main parameters. These parameters are traffic volume, incident rate and adjacency to important centers, which determine for alternative points. The maximum coverage problem is NP–hard. Consequently, conventional mathematical methods are not accurate for large scale problem. A meta–heuristic method based on the greedy algorithm was developed which conciders marking points as definitive–select or non–selectable. Result of the model were evaluated through testing of three scenarios, 200, 500 and 1000 meters coverage in District 5 of Tehran by using MATLAB and the best one, 1000 meters was chosen with 71% coverage. Observations showed the effect of various parameters such as equipment coverage radius, number of equipment and budget on the results of distribution. This algorithm makes it possible to solve the problem on a large scale by using the geolocation of the candidate points.

One of the most important problems for distribution companies (especially large online stores) is the design of docking stations, vehicle routing, and supply chain optimization. In this research, the distribution centers of Digi kala online store have been located. A multi-objective location-routing problem has been developed by meta-heuristic methods considering the principle of stability and time constraints. Based on the results of the proposed model, the effect of demand on the three objectives of time, cost, and environmental and social issues was investigated and it was shown that if demand increases, there will be a greater effect on time. In other words, increasing demand can create gaps that result in increased delivery time, and therefore this can lead to customer dissatisfaction in the long run. Increasing employment also leads to better environmental issues, but has no effect on cost or time. Also, the cost of transporting goods has no effect on environmental issues and time, but leads to increased costs.

Earthquake as one of the most important natural hazards in cities, causes huge financial and human losses every year, and one of the most necessary measures in this field is the application of disaster risk management principles. One of the most important requirements of those affected by natural hazards is to have a safe shelter.

The type of research is applied and conducted based on descriptive-analytical approach. Based on effective criteria for the optimal location of emergency and temporary housing, 19 information layers of Damghan city were used, and then a map of suitable areas for emergency and temporary housing was prepared using Fuzzy model and ArcGIS software.

The results obtained showed that, the parts located within the boundaries of Daneshjoo Park and Jungle Park, Imam neighborhood, Baharestan neighborhood, Mosala (under construction), Golestan settlement and Mehr housing, University of Basic Sciences Damghan, Imam Hossein, 15 Khordad, Daneshjoo and Saadi squares in the city of Damghan had a higher priority for locating emergency and temporary housing after a possible earthquake, which requires the proper attention of organizations and departments (municipality, governorate, Red Crescent, etc.) In the field of providing and equipping the infrastructure, providing necessary tools, equipment and items (medicine, food, water and energy sources, etc.) during possible earthquake in Damghan city, along with the education of all citizens and their participation. It should be noted that the rest of the existing urban area of Damghan, which is about 70% of the urban area, needs serious attention considering crisis management caused by a possible earthquake and is not suitable for emergency and temporary housing.

The main crisis management strategy is to build emergency and temporary housing bases for earthquake survivors to reduce the damaging effects after an earthquake. Therefore, in urban land use planning in cities such as Damghan, it is necessary to locate land use suitable for earthquake risk such as rescue and rescue centers and shelters according to the population and other geographical and climatic conditions (weather and wind conditions).

Optimum site selection for a solar power plant according to the opinion of connoisseur experts using multi-criteria decision making models and in GIS environment can play a significant role in the expansion of sustainable development. Therefore, the purpose of this study is to identify the suitability of lands for the construction of a solar power plant using AHP model, remote sensing resources and GIS techniques in Andimshek city located in Khuzestan province, Islamic Republic of Iran. For this purpose, 12 criteria that were important from economic, environmental and security aspects were weighted by AHP model, then linearly standardized in the GIS environment and finally combined weighted linearly together (WLC). The results indicated 8.68% (4933.72 hectares) of the study area have an excellent degree of suitability for constructing of a solar power plant. These lands are mainly located near of Andimeshk city. Also, the results indicated the distance from industrial/military regions and the distance from the railway network have the most positive and negative correlation with the suitability map of the solar power plant, respectively.

In the management of the blood supply chain network, the existence of a coherent and accurate program can help increase the efficiency and effectiveness of the network. This research presents an integrated mathematical model to minimize network costs and blood delivery time in crisis conditions. In the present model, to ensure timely and sufficient blood supply, especially in crisis conditions, the new approach concentration of blood collection, processing, and distribution sites in the facilities, emergency transportation, pollution, route traffic (delivery delay), blood type substitution, and supporter facilities were used. Moreover, other important decisions, including locating all permanent and temporary facilities at three blood collection, processing, and distribution sites, and blood shortage, were also applied in the model. The proposed model was solved for several problems using the Augmented epsilon-constraint method. The results showed that deploying advanced processing equipment in field hospitals, the concentration of sites in facilities, and blood type substitution have significantly improved network efficiency. Therefore, managers and decision-makers can use the proposed approaches to optimize the blood supply chain network to minimize network costs and blood delivery time.

This study aims to determine the optimal location of new chain stores based on geomarketing (location-based marketing) with a combined approach of TOPSIS and GIS. The statistical population included experts and customers of the retail industry (Janbo, Ofogh Kourosh, Haft, Refah, Shahrvand and Etka stores) in Tehran. In the expert section, using cluster sampling method from each cluster, 2 to 3 stores in the north, east, west, center and south were chosen and then 14 experts were selected from the clusters. In the customer section, 384 people who visited the chain stores were selected using the available non-random sampling method and questionnaires were distributed among them. Then, in the quantitative phase, the Analytic Hierarchy Process (AHP) was applied for ranking in the expert section. Also, in the customer section, the Friedman ranking test with SPSS software was used. After collecting the required data and performing spatial analysis, maps related to the components and location indicators were generated using ArcMap software. In the following, a case study consisting of 3 proposed places in the 18th district of Tehran city was investigated for the establishment of a new store. Finally, the proposed stores were ranked using the TOPSIS method based on the decision matrix extracted from the opinions of experts, customers and GIS based maps. However, according to the case study conducted from the experts and customers’ point of view, it was determined that the location number 2 located in Rajaee Street in Tehran is suitable for opening a new store.

Nowadays, due to the increase in population and climate change, the probability of natural disasters such as floods and earthquakes are increasing. Therefore, the need for proper planning to reduce human and financial losses is felt more and more. Locating camps and   medical service centers is one of the measures that should be taken into account to deal with disaster conditions. In this research, camps and medical service centers’ locations have been investigated. According to the historical background of the city of Rudbar in the occurrence of a big earthquake and the location of this city on the active fault of Rudbar, this city was chosen for a case study.

Suitable places for the construction of camps and medical service centers were considered from previous researches and the opinion of the experts of the Center for Research and Resilience in Disasters and to rank the options, the compromise mixed solution method has been used.

At first, with the consultation of the experts of the Center for Research and Resilience in Disasters and Disasters and using previous researches, appropriate criteria were determined for prioritizing the candidate places for the construction of medical service centers and camps. Then, according to these criteria, the candidate places were first prioritized to determine the suitable place for the construction of medical service centers, according to the population of Rudbar city, 5 places were selected for the construction of medical service centers, and the other places were selected for the construction of the camp according to the appropriate criteria. In order to identify a suitable place for the construction of the camp, they were prioritized again. Hosp itals and schools are more suitable places to build medical service centers and schools and mosques are more suitable places to build camps.

The results show that the criteria of not being located on the fault, the presence of suitable infrastructure, and the distance from the disaster points are important criteria for choosing a medical service center, and criteria not being located on the fault, the presence of suitable infrastructure, and the distance from the medical service centers are important criteria for building a camp.

When it comes to providing aid to the victims of natural and unnatural disasters, the main goal of a relief chain is to provide the items needed by the victims such as water and food, medicine, shelter and other necessities to reduce the number of deaths caused by reduce the occurrence of disasters as much as possible; therefore, designing, developing and implementing a relief chain can play an important role in finding a suitable answer. The most obvious differences in dealing with the relief supply chain are the unpredictability of demand in terms of time, place, type, scale and volume. Other reasons such chains are the sudden occurrence of a large amount of demand and a very short opportunity to provide a large amount of goods, lack of resources including goods, relief forces, appropriate technology, transportation capacity, the need to provide timely and sufficient supplies after the accident, and the risks in the relief environment. In the present research, a mathematical model for the location-inventory problem for planning response to casualties is presented; also, due to the NP-hard nature of the problem considered, meta-heuristic algorithms were used to solve it.

Effective emergency response to earthquake occurrence in dysfunctional urban contexts requires a cycle of multiple and coordinated measures. Neighborhood self-help center is one of the emerging physical centers supporting emergency management which according to lessons learned from earthquake experiences, its establishment can play an effective role in providing on-time assistance with the participation of people in urban areas. The establishment of these centers has two levels of internal and external requirements by principles and rules of design oriented and site selection oriented criteria.

The approach of this study is quantitative with the aim of locating the neighborhood self-help center of Sirous neighborhood. The method of research includes AHP and FUZZY techniques in GIS environment.

Findings indicate recognition and prioritization of twenty effective criterion on locating the neighborhood self-help center of Sirous neighborhood, high score of relief adjustment criteria (0.258) and high score of open spaces sub-criteria (0.114), production of maps and fuzzy base layers by buffer analysis and determination of two final locations in the northwestern and southern parts.

better understanding the position of these centers and covering the weakness are main general results. Locating can be specifically considered in line with the new regeneration policies of this neighborhood and its field operating can provide better stability and more resilience of inefficient urban neighborhoods.

Despite the focus on smart management systems in the water and wastewater sector of Iran, little attention has been paid to the operational objectives and the prerequisites of their implementation. Furthermore, despite the huge investments made, the neglect of this issue has undermined their effectiveness. Accordingly, In order to analyze the factors affecting the location of smart water and wastewater facilities, this research has been done from the perspective of their establishment requirements. After reviewing the available documentation, Interviewing, Thematic analysis, Focus group formation and Thematic network design, in the second step, to check the validity of the themes, questionnaire design, Sample size and Normality test, KMO coefficient, Bartlett's Spear test, Factor Analysis and goodness-of-fit tests were used to identify the factors affecting the location of smart facilities and finally, Factor loading were used to rank the measurable variables.The results show that the latent variable of smart water management mystem deployment prerequisites is more effective than the latent variable of deployment goals of the mentioned system. option "Have a proper implementation strategy" of the components required to deploy the smart water system has the most impact and "Smart distribution network management" of the deployment goals variables have the most impact on the implementation of smart facilities in the water and wastewater industry.

This study investigated the criteria influential in determining the construction site of the urban solid waste recycling centers and then determined the importance of each of these indicators. Then, in order to evaluate and rank the candidate locations, a new method based on the Multi Mora technique was introduced.

This descriptive survey is an applied study in terms of its purpose. As such, the required data were collected through a questionnaire. In the first phase, the potential indicators were identified in a library research. Moreover, to determine the weight of the indicators and score the items, the opinions of 14 experts in the field including the relevant executive managers and university instructors were sought.

The results of the study revealed that the three indicators of construction cost, current land cover, and soil cover were the most important ones playing a key role in determining the location of the recycling centers. After the potential locations were evaluated in District 22 of Tehran Municipality as a case study, three places which scored the highest were identified as the optimal recycling stations.

The criteria for locating waste recycling centers are dynamic in nature, and both their nature and weight along with the importance of each of them change over time. To this end, for each new case, relevant managers and officials should consider new indicators, including costs and other new issues, when deciding on a construction site for recycling centers.

Cities that used to grow relatively slowly in the past, today face a lot of new and complex problems because one of the most important and basic needs of the urban population is optimal access. To municipal services. One of the best strategies to solve this problem is to select and locate the optimal service using GIS. The aim of this study was to investigate the spatial distribution and location of urban services in the city of Kalishad and Sudarjan.

In this article, the research method is descriptive-analytical.

The research findings show that the surveyed services do not have an optimal location and do not have the power to meet the needs of citizens.

It is suggested that neighborhoods 2, 6, 3, which have a high population, be given priority in providing services, and by transferring or creating new service centers in these neighborhoods, the service problem will be largely solved. Lands along the Zayandeh River can also be used as green space, recreational space and even as a tourist village.

Four - level supply chain is a chain of different products because of continuous and significant changes in the quality of food products throughout the supply chain. The aim of this paper is designing a fuzzy multi - objective model for optimization of facility location in a perishable products of supply chain using the combination of two heuristic Banders and Lagrange algorithms. The present study is applicable in terms of purpose and data collection method. in this study, the mathematical model for the problem of locating facility in a four - level supply chain for perishable products is presented at the same time the supply chain costs, order delivery time, emissions and customer satisfaction level. to evaluate the validity of the research, the mathematical model was studied in Kaleh food industries and the research problem was presented in the form of a nonlinear model of complex integer programming. the results of the proposed algorithm in the case study of the solution and the results of the algorithm performance based on standard indices and finally computational results show the performance of the algorithm for a wide range of different.

One of the most important issues that is always considered by the responsible organizations in risk and crisis management is choosing a suitable place for temporary Housing of the population affected by Disaster. In Iran, Site selection for Housing can work better after a Disaster. Obviously, non-compliance with the location may lead to another catastrophe, even worse than the initial Disaster. The purpose of this study is to identify suitable spaces for setting up temporary Housing centers before the occurrence of Disaster in the District Two of Tehran.                           

This Study  is a mix Method research by using descriptive-analytic method; according to necessities of the research is a combination of reviewing specialized texts, Field observation and spatial analysis were performed using the technique of analysis hierarchical Process, using ArcMap and ExpertChoice software. Finally, the data are analyzed and suitable Site for temporary Housing centers are introduced .                       

After conducting the research process, it was determined that the eastern, southeastern and southern regions of the study area have better and more favorable conditions for the construction of temporary housing centers. Based on the review of the research results and the extracted map as well as the field study, suitable places for setting up temporary accommodation centers at the time of accidents include: Iran Zamin Park, open areas around Milad Hospital, Goftogo Park, Hajj and Pilgrimage Organization, Javid Park, Tarasht Park and Tarasht Martyrs Sports Complex; existent.  

In general, in case of any crisis in cities, the issue of setting up temporary housing centers will be very important. The results of the study show that the criteria of access, open spaces (parks) and distance from the fault are the main and determining criteria in choosing a suitable place for temporary housing.It is also found that suitable areas for temporary Housing centers in the study area, mostly include the use of parks and empty spaces and stadiums.