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Total 51 records

    Sequential Competitive Facility Location In Continuous Geometric Space

    , M.Sc. Thesis Sharif University of Technology Lavasani, Ali Mohammad (Author) ; Abam, Mohammad Ali (Supervisor)
    Abstract
    Abstract The problem of competetive facility location can be defined as follows: There are a number of customers in the form of points in space, and two players arrange a number of facilities in the form of points in space, given some limitations, respectively. Each customer’s connection to each facility has a cost for the customer and an advantage for the facility, and each customer wants to be connected to at most one of the facilities which has the lowest cost for him. The goal is to find the strategy of placing the facilities and determining the cost which the facility receives from the customer, in such a way that the player’s profit is maximised.In this thesis, we first sought to... 

    Optimal Relay Location in Wireless Networks

    , M.Sc. Thesis Sharif University of Technology Sharif Nassab, Arsalan (Author) ; Golestani, Jamaloddin (Supervisor) ; Nasiri-Kenari, Masoumeh (Co-Advisor)
    Abstract
    According to the wide range of applications and numerous implementations, wireless networks are considered as a prominent means of providing data services, and have attracted the attention of many researches in recent years. Performance enhancement of these networks can be very beneficial to industry and wireless data service providers. Manipulation of relays, have been always considered as a proper means for improvement of network performance measures throughput and outage probability.In order to design relay networks efficiently, one should address two following problems: 1- determining transmission policy, and 2- relay location. In this research work, having in mind the optimality of... 

    Probabilistic Bi-Objective Location Routing Problem with Direct Shipment and Split Delivery

    , M.Sc. Thesis Sharif University of Technology Mesgar Saravi, Mahla (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    This thesis studies a probabilistic bi-objective location-routing problem that considers multi-product, multi-period system with direct shipment and split delivery which is a case study in SAIPA Group. This model also considers location, allocation and routing decisions in three-level supply chain including factories, distribution centers and customers. Each product for each DC can be supplied by more than one supplier in each period of time, and each factory has a limited capacity. As shortage isn’t allowable, all of the customer’s demand should be satisfied in each period of time. Since customer’s demand could be more than vehicle’s capacity, each customer could be visited more than once... 

    The Bi-objective Capacitated Facility Location-Network Design Problem with Multi-type of Links and Facilities

    , M.Sc. Thesis Sharif University of Technology Charkhgard, Parisa (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    One of the primary concerns on many traditional capacitated facility location-network design problems is to consider costs of transportation and establishing of facilities in one single objective function. Considering a single objective in these problems may lead to misleading solutions due to the fact that the transportation costs should be considered in a short-term period of time, and therefore, the higher cost of establishing the facilities may unfairly dilute the role of the transportation cost. In this thesis, we introduce the capacitated facility location-network design problem with two separate objective functions. Moreover, in this problem, it is assumed that for connecting two... 

    A Multisource Location-routing-inventory Problem with Backlogging

    , M.Sc. Thesis Sharif University of Technology Ghorbani, Atiye (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    This thesis studies a multi-product location-routing-inventory problem in which location-allocation, inventory and routing decisions are to be taken in a three-level supply chain including suppliers, depots and customers. Each product for each depot could be supplied by more than one supplier and each supplier has a limited supplying capacity per period. Products are distributed from depots to customers by a homogeneous fleet of vehicles. Backlogging is allowable for each customer on the condition of not exceeding a fraction of customer’s demand. A mixed-integer programming formulation is presented to describe the problem then a new hybrid heuristic algorithm based on the simulated annealing... 

    Robust Optimization of Integrated Model of Facility Location and Scheduling

    , M.Sc. Thesis Sharif University of Technology Imanpoor Yourdshahy, Mona (Author) ; Modarres Yazdi, Mohammad (Supervisor)
    Abstract
    In facility location problem with uncertain data, some model parameters such as demand or transportation time are not known in advance and in many cases, no historical information exists to derive their probability distribution functions. In this situation, robust optimization is a prevalent approach. In this study, to apply robust optimization in our model, first we review its concepts and methods. Then, a mathematical model for a new facility location problem, as well as its robust counterpart is developed. Furthermore, we also develop a model for simultaneous decision making regarding facility location problem and sequencing. In this model, it is also assumed the process times are... 

    A Mathematical Model to Locate Multi-Level Multi-Service Health Facility Under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Motallebi Nasrabadi, Alireza (Author) ; Najafi, Mehdi (Supervisor)
    Abstract
    In this study, a mathematical model for health-care facility location in two level and multi-services has been described. The facilities has two levels of clinic and hospital that has inclusive hierarchy property. In clinics, only outpatient services delivered. But, in hospitals in addition to handle outpatient services, inpatient services and emergency services are provided. In this research, we practice on queuing theory in order to consider the serious uncertainties in the health service, for instance, random demand and random service time, and by the help of which the criteria for considering the service level is calculated. Then by using applicable change variable and service level... 

    Maximizing Payoff in Competitive Facility Location

    , M.Sc. Thesis Sharif University of Technology Jafari Giv, Mehrdad (Author) ; Zarrabi Zadeh, Hamid (Supervisor)
    Abstract
    In the competitive facility location problem, two service providers fight over winning consumers by establishing a series of well-located facilities on the line. The consumers seek their required services from the facility which is closest to them. The order in which service providers locate and build their facilities is as follows: the first service provider establishes k facilities after which the second service provider locates another k facilities and this goes on for m rounds. The payoff of each service provider equals the number of consumers that choose that provider’s facilities to seek service from. In this dissertation, we address different types of this problem and try to analyze... 

    Solving the P-Center Problem under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Taghavi, Majid (Author) ; Shavandi, Hassan (Supervisor)
    Abstract
    Facility location decisions play a prominent role in strategic planning of many firms, companies and governmental organizations. Since in many real-world facility location problems, the data are subject to uncertainty, in this thesis, we consider the P-center problem under uncertainty of demand nodes. Using Bertsimas and Sim approach, we modeled the problem as a linear optimization model. Furthermore, we develop a tabu search algorithm to solve the problem. Finally we designed some experiments to adjust the parameters of tabu search algorithm. We presented the numerical result accordingly  

    Warehouses Location Model with Capacity Constraint

    , M.Sc. Thesis Sharif University of Technology Pishbin, Payam (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In this thesis, an inventory- location model considering capacity constraints and coverage radius is described in which the capacity is determined based on the maximum accumulation inventory. This model, through minimizing the sum of the fixed facility location costs, transportation costs and safety stock and working inventory costs, concurrently, determines warehouse location, assignment of retailers to warehouses, shipment sizes from the plant to warehouses, working inventory and safety stock levels at the warehouses. This problem can be formulated as a nonlinear mixed integer program in which the objective function is neither concave nor convex. Lagrangian relaxation is incorporated for... 

    Expertise Retrieval and Ranking

    , Ph.D. Dissertation Sharif University of Technology Neshati, Mahmood (Author) ; Beigy, Hamid (Supervisor)
    Abstract
    This thesis investigates the expertise ranking problem. Recently, the expertise ranking problem has attracted lots of attention in Information Retrieval community. The broad usages of expert ranking algorithms in commercial search engines indicate its importance and usability. Expertise ranking problem is concerned with finding people who are knowledgeable in a given topic. The main research questions in this thesis are related to three important questions related to expert ranking problem. The first question is what the sources of evidences are and how we can infer expertise of a person on a given topic. The second question is concerned with the modeling of information related to each... 

    A Robust Optimization Model for a Multi-objective Location-allocation Problem with Consideration of Carbon Emission and Nonlinear Transportation Cost in a Closed-loop Supply Chain

    , M.Sc. Thesis Sharif University of Technology Alipour, Behzad (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    In this research, we propose a formulated approach to locate and allocate two level of a three-level closed-loop supply chain consist of a number of capable points production facilities, redistribution centers and customer clusters for multiple products in multiple time periods. Also, we consider environmental aspects in this supply chain network by taking into account an objective function, aside from cost objective function, in the template of emitted carbon dioxide. In this research for the first time we consider vehicles’ emitted CO2 different in each period which is a result of gradual depreciation of vehicles. In the end for the sake of validating model’s performance we developed few... 

    Developing a Model for the Maximal Covering Location Problem Considering Different Facilities, Set up Costs and Transportation Modes

    , M.Sc. Thesis Sharif University of Technology Hatami Gazani, Masoud (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Abstract
    Facility location decisions are critical elements in strategic planning processes for a wide range of private and public firms. High costs associated with facility location and construction make facility location or relocation projects long-term investments. One of the most popular models among facility location models is the covering problem. This is due to its application in real life, especially for service and emergency facilities. Set covering problem (SCP) and the maximal covering location problem (MCLP) are two categories of the covering models. The presented model in this study is based on the maximal covering location problemwhile considering some real¬ life constraintssuch as... 

    A Heuristic Method for the Integrated Multi-Depots Continuous Location-Routing and Inventory Problem

    , M.Sc. Thesis Sharif University of Technology Taherkhani, Arefeh (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    In this study a mathematical model has been presented for multi depots, continuous location-routing problem with inventory restrictions. In this problem, a three-echelon supply chain was assumed and a factory which is producing one product and with unlimited capacity is on the first echelon of supply chain. In the second echelon of supply chain, several distribution centers distribute products. In the third echelon, there is a set of customers who are scattered in different geographical locations. Location of customers is pre-specified, but distribution centers should be located. In this problem, location of distribution centers will be determined in a continuous space. As the leader of this... 

    A Heuristic Algorithm for Dynamic Maximal Covering Location Problem with a Choice of Selecting the Number of Facilities

    , M.Sc. Thesis Sharif University of Technology Chavoshi, Saeed (Author) ; Kourosh, Eshghi (Supervisor)
    Abstract
    The Dynamic Maximal Covering Location Problem (DMCLP), is one of the classes of Facility Location Problem (FLP) with a wide raneg of applications in real-life situations. In order to solve this problem, this research presents a sufficient greedy heuristic algorithm, which is capable of solving the DMCLP in large scales of 2500 demand nodes and potential facilities of 200 in 5 periods in a negligible computation time in comparison to those with exact algorithms such as branch and cut. Furthermore, in this research DMCLP is also modified to reach reach a more realistic model. In this new model, a cost behaviour is defined according to the number of facilities located. Subsequently, the new... 

    Viable supply chain network design by considering blockchain technology and cryptocurrency

    , Article Mathematical Problems in Engineering ; Volume 2021 , 2021 ; 1024123X (ISSN) Lotfi, R ; Safavi, S ; Gharehbaghi, A ; Ghaboulian Zare, S ; Hazrati, R ; Weber, G. W ; Sharif University of Technology
    Hindawi Limited  2021
    Abstract
    Nowadays, using Blockchain Technology (BCT) is growing faster in each country. It is essential to apply BCT in Supply Chain Network Design (SCND) and is considered by the designer and manager of SC. This research indicates Viable Supply Chain Network Design (VSCND) by applying BCT. A new form of two-stage robust optimization is suggested. Facility locations and activation BCT for VSCND is the first stage of decisions; finally, we determine flow transshipment between components in the next stage. The GAMS-CPLEX is used for solving the model. The results show that running BCT will decrease 0.99% in costs. There is an economic justification for using BCT when demand is high. A fix-and-optimize... 

    The large scale maximal covering location problem

    , Article Scientia Iranica ; Volume 18, Issue 6 , December , 2011 , Pages 1564-1570 ; 10263098 (ISSN) Fazel Zarandi, M. H ; Davari, S ; Haddad Sisakht, S. A ; Sharif University of Technology
    2011
    Abstract
    The maximal covering location problem (MCLP) is a challenging problem with numerous applications in practice. Previous publications in the area of MCLP proposed models and presented solution methodologies to solve this problem with up to 900 nodes. Due to the fact that in real-life applications, the number of nodes could be much higher, this paper presents a customized Genetic Algorithm (GA) to solve MCLP instances, with up to 2500 nodes. Results show that the proposed approach is capable of solving problems with a fair amount of exactness. In order to fine-tune the algorithm, Tukey's Least Significant Difference (LSD) tests are employed on a set of test problems  

    The large-scale dynamic maximal covering location problem

    , Article Mathematical and Computer Modelling ; Volume 57, Issue 3-4 , February , 2013 , Pages 710-719 ; 08957177 (ISSN) Zarandi, M. H. F ; Davari, S ; Sisakht, S. A. H ; Sharif University of Technology
    2013
    Abstract
    Most of the publications regarding the maxim covering location problem (MCLP) address the case where the decision is to be made for one period. In this paper, we deal with a rather untouched version of MCLP which is called dynamic MCLP (DMCLP). In order to solve this problem, a simulated annealing (SA) has been presented. The proposed solution algorithm is capable of solving problems with up to 2500 demand nodes and 200 potential facilities with a fair amount of exactness. Our experiments showed that the proposed approach finds solutions with errors less than one percent  

    The healthcare supply chain network design with traceability: A novel algorithm

    , Article Computers and Industrial Engineering ; Volume 161 , 2021 ; 03608352 (ISSN) Hajipour, V ; Akhavan Niaki, S. T ; Akhgar, M ; Ansari, M ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Both governments and health-related organizations must immediately act after a natural disaster happened, i.e., providing essential equipment and medicines to injured people as soon as possible and adequately. To achieve this goal, planning the distribution and the inventory of crucial items during a scenario of disasters, a relief supply chain network with four echelons, namely suppliers, warehouses, disaster locations, and medical centers, is designed. In this work, a bi-objective nonlinear mathematical model that follows two main concerns is proposed. First, we wish to minimize the supply chain costs in terms of both the traveling time between echelons and the inventory costs. Second, we... 

    The capacitated maximal covering location problem with heterogeneous facilities and vehicles and different setup costs: An effective heuristic approach

    , Article International Journal of Industrial Engineering Computations ; Volume 12, Issue 1 , 2020 , Pages 79-90 Hatami Gazani, M ; Akhavan Niaki, S. A ; Akhavan Niaki, S. T ; Sharif University of Technology
    Growing Science  2020
    Abstract
    In this research, a maximal covering location problem (MCLP) with real-world constraints such as multiple types of facilities and vehicles with different setup costs is taken into account. An original mixed integer linear programming (MILP) model is constructed in order to find the optimal solution. Since the problem at hand is shown to be NP-hard, a constructive heuristic method and a meta-heuristic approach based on genetic algorithm (GA) are developed to solve the problem. To find the most effective solution technique, a set of problems of different sizes is randomly generated and solved by the proposed solution methods. Computational results demonstrate that the heuristic method is...