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    Iranian Professional Football League’s Scheduling

    , M.Sc. Thesis Sharif University of Technology Madadi, Mahdi (Author) ; Kianfar, Ferydoon (Supervisor)
    Abstract
    Finding a proper and fair schedule for sport competitions has been an important issue, especially these days which professional sports has became a large scale business and profitability of sport competitions depends on the quality of the schedule.
    Hence in the last three decades sport scheduling has been considered by computer science and operation research scientists.
    Professional soccer league consists of many teams which compete in one round or double round robin tournament every year. In round robin tournaments each team has two matches, one at their own place and the other one at the competitors place. The main issues of the sport scheduling are the round and the host of... 

    A Set of Indicators, Based on EFQM Model, for Key Results and Customer Results for Project Oriented Processes of MAPNA Group

    , M.Sc. Thesis Sharif University of Technology Geilari, Zahra (Author) ; Kianfar, Ferydoon (Supervisor)
    Abstract
    MAPNA is a leading project oriented company in the field of power, water, oil and transportation in Iran. MAPNA has the policy of using quality management principles and tools to improve the company and in this regard has chosen EFQM excellence model as a tool to move towards excellence. EFQM requires a set of indicators to measure performances of the processes and their results. These indicators should be tailor made for the company.
    The subject of this thesis is to evaluate the present indicators used in implementing EFQM in MAPNA and considering MAPNA’s characteristics propose any changes required. The study is limited to indicators for key results and customer results for certain... 

    A Model for Optimal Selection of Internet Bandwidth with Desired Quality of Service, and Applying it for Iran

    , M.Sc. Thesis Sharif University of Technology Ahoopai, Hossein (Author) ; Kianfar, Ferydoon (Supervisor)
    Abstract
    This thesis intends to provide a decision model to determine the best amount of bandwidth that must be rented from each of the broadband Internet service providers. Each internet service provider has a proposal. Each proposal consists of a path and a cost and the values of performance indicators for the path. The aim is to achieve an acceptable range for overall network key performance indicators with minimum total cost . Network performance key indicators are availability , packet loss and packet delay. Internet service providers have several pops throughout the world and there are several path to these pops. A link is a combination of origin point , local path , exit point ,... 

    Scheduling of Identical Parallel-batch Processing Machines with Variable Machine Capacity and None-identical Job Sizes

    , M.Sc. Thesis Sharif University of Technology Hamedinia, Abdolghaium (Author) ; Kianfar, Ferydoon (Supervisor)
    Abstract
    In this thesis, we consider the problem of scheduling parallel batching machines with different machine capacity and jobs of arbitrary sizes and processing times. The machines have identical processing velocity. The jobs are processed in batches given that the total size of jobs in a batch cannot exceed the machine capacity. Once a batch starts processing, no interruption is allowed until all the jobs are completed. First we present a mixed integer programming model of the problem. We show the computational complexity of the problem, and then we propose two heuristics, LPT-BF and LPT-FF with regard to constraints of problem. Finally, we generate different scales of instances to test the... 

    Applying PFMEA in Vehicle Axle Manufacturing Company and Presenting an Effective Model

    , M.Sc. Thesis Sharif University of Technology Hassanzadeh Manamen, Fardin (Author) ; Kianfar, Ferydoon (Supervisor)
    Abstract
    In this thesis we illustrated PFMEA in VAMCO to evaluate effectiveness of applying this standard in this company ,though the results showed better situation but they were not significant then we launch to study the reasons of this matter and to help our survey we used other companies' knowledge via questionnaires and interviews,. After collection of data our conclusion proved that there were both problems in context and application. For solving these problems we investigated about experience of international esteemed companies and finally we decided to apply a new model in form of a software. For designing algorithm of this software we deeply focused on problems and use the recent... 

    Plant Function Deployment Via Reliability- Centered Maintenance

    , M.Sc. Thesis Sharif University of Technology Kianfar, Azadeh (Author) ; Kianfar, Fereydoon (Supervisor)
    Abstract
    Reliability Centered maintenance (RCM) is a systematic approach for designing preventive maintenance program for plants. Quality Function Deployment (QFD), which is a well known tool of Total Quality Management, is also a systematic and disciplined approach for designing products and services. In QFD the objective is to satisfy the requirements of the customers of the product or service with limited resources. Now if we consider the preventive maintenance program that RCM specifies for a plant as a service and define the customer requirements for this service to be preserving the functions of the plant we can use QFD for maintenance via RCM. By doing this all the proven advantages of QFD... 

    A comparison of two estimators for solutions to greedy algorithm in scheduling depletable sources

    , Article International Conference on Risk Management and Engineering Management, Toronto, ON, 18 April 2008 through 18 April 2008 ; 2008 , Pages 80-85 ; 9780978348458 (ISBN) Kianfar, S ; Azizi, E ; Kianfar, F ; Sharif University of Technology
    2008
    Abstract
    There are many depletable resource planning problems associated with convex cost function. The Greedy algorithm has been used to find the optimal solution for such problems. But exploiting that algorithm requires a large bulk of computations to find the optimal solution. Thus, in this paper we have established two piecewise linear estimators for the convex cost function: an inner intersection of the function values and an outer tangent. A practical experiment was conducted to compare the performance of the two presented estimators and it was observed that the outer tangent performs more efficiently than the inner intersection. The execution time of the Greedy Algorithm and the estimation... 

    A numerical method to approximate optimal production and maintenance plan in a flexible manufacturing system

    , Article Applied Mathematics and Computation ; Volume 170, Issue 2 , 2005 , Pages 924-940 ; 00963003 (ISSN) Kianfar, F ; Sharif University of Technology
    2005
    Abstract
    The simultaneous planning of the production and the maintenance in a flexible manufacturing system is considered in this paper. The manufacturing system is composed of one machine that produces a single product. There is a preventive maintenance plan to reduce the failure rate of the machine. This paper is different from the previous researches in this area in two separate ways. First, the failure rate of the machine is supposed to be a function of its age. Second, we assume that the demand of the manufacturing product is time dependent and its rate depends on the level of advertisement on that product. The objective is to maximize the expected discounted total profit of the firm over an... 

    Optimal production and maintenance control under a time variant demand

    , Article Scientia Iranica ; Volume 12, Issue 1 , 2005 , Pages 26-33 ; 10263098 (ISSN) Kianfar, F ; Sharif University of Technology
    Sharif University of Technology  2005
    Abstract
    In this paper, optimal production and maintenance planning of a flexible manufacturing system under a time variant demand is considered. There is a preventive maintenance plan to reduce the failure rate of the machine. It is assumed that the failure rate of the machine is a function of its age and its maintenance rate. It is, also, assumed that the demand of the manufacturing product is time dependent and its rate depends on the level of the advertisement on that product, The objective is to maximize the expected discounted total profit of the firm over an infinite time horizon. To solve this optimization problem, first, an optimal control is characterized by a set of Hamilton-Jacobi-Bellman... 

    Optimal planning of equipment maintenance and replacement on a variable horizon

    , Article Scientia Iranica ; Volume 11, Issue 3 , 2004 , Pages 185-192 ; 10263098 (ISSN) Kianfar, F ; Sharif University of Technology
    Sharif University of Technology  2004
    Abstract
    In maintenance and replacement planning of an industry, the purchasing of new equipment on the market with some kind of technological improvement over existing equipment should be taken into account. Because of operating cost, ordinary and preventive maintenance expenses may be lower, production rate may be higher and the quality of output may be better, etc. The industry to be considered in this paper is the mining industry and the replaced equipment is the mine shovel. It is assumed that, at most, one new shovel can be purchased before the mine is exhausted. It is possible that the mine is given up before exhausted, because of the disadvantage of the expense and loss of the salvage value... 

    Foreign Exchange Rate Forecasting In Global Money Markets Using Adaptive Methods

    , M.Sc. Thesis Sharif University of Technology Nafarieh, Mohammad (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    The traders exchange currencies in an online foreign exchange market (Forex), so they need to know ways help them to predict trend of market. There are some methods to forecast exchange rate based on experiment. However they can submit good signals, they are too late for exchange. Two things are important, they should be correct and on time. In this research, we try to submit a prediction by Adaptive Methods in which provides both of them. In first approach, we test 468 models of Artificial Neural Network to achieve the best; and in second approach, Genetic Algorithm and Swarm Intelligence are applied to training Artificial Neural Network. Finally, in addition to forecasting exchange rate,... 

    Using Optimal Control for Dynamic Pricing under Learning Effect of Supply and Demand

    , M.Sc. Thesis Sharif University of Technology Jazayeri, Ali (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In this research a monopolist is considered which its object is maximization of profit during a predetermined period. Optimal control theory is used as a tool for determining of optimal trend for control variables. Price, warranty length and production rate are considered as control variables and cumulative demand and production are considered as state variables. Learning effect in production side and demand side are entered in the model too. In the demand side, learning effect shows its influences with movement of market from diffusion phase to saturation phase. In diffusion phase the demanded quantity of productions increases by increase of cumulative demand, on the contrary in the... 

    A New Metaheuristic Algorithm Based on Particle Swarm Optimization for Discrete Time Resource Trade-off Problem

    , M.Sc. Thesis Sharif University of Technology Esfandeh, Tolou (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In this research, a new metaheuristic algorithm is developed for solving the Discrete Time- Resource Trade off Problem in the field of project scheduling.In this problem ,a project contains activities interrelated by finish-start type precedence constraints and each has a specified work content and can be performed in different combinations of duration and resource requirement.Since the problem is NP-hard , the Particle Swarm Optimization is adopted due to minimization of the makespan subject to precedence relations and a single renewable resource. Basically PSO is used to solve continous problems and discrete problems have just begun to be solved by the discrete PSO.In proposed method,a... 

    Risk Management and Cash Flow In Banks

    , M.Sc. Thesis Sharif University of Technology Samiei, Alireza (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    Asset and liability management is a method for optimizing cash flows of input and output of a bank . The model for optimizing the balance between liability and assets of a bank is presented in this research. Bank asset liability management and planning can be considered at the same time. In tjis model , all assets and liabilities in the bank balance sheet are discussed under different objectives and requirements , such as legal and administrate requirements, market condition, risk rate etc  

    A Model for Hierarchical Production Planning in a Make-to-order System

    , M.Sc. Thesis Sharif University of Technology Alavi, Behrouz (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    A hierarchical production system in make-to-order environment is presented in this thesis. This production system is consisted of three different decision making levels. Maximum acceptance for production within customer specified time interval was done in the first stage, which is called order arriving stage, based on different client criteria, type of demanded product, and production system constraints. A new hierarchical decision making structure for accepting or rejecting arriving orders is proposed in this level. The output of this acceptance level is orders having maximum production system defined criteria, and minimum production cost along with order delivery time with minimum delay is... 

    Using Decision Analysis Concept to Implement Variant Process Planning System

    , M.Sc. Thesis Sharif University of Technology Shokrzad, Reza (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In Computer-Aided Process Planning, there are two ways of manufacturing called Variant Manufacturing and Generative Manufacturing. Variant Manufacturing is based on a data base from a part family for a project. The part family is made in a series of root sheets regarding the final form of the intended part. The data base is updated after the manufacturing of each part. In order to make the system intelligent, one can use the OPITZ coding system that specifies the geometrical form, geometrical details and part manufacturing operations in a 13-digit number. The aim of this research is to choose the best machining parameters according to time and cost, that, based on the basic principles of... 

    Multi-period Project Portfolio Selection and Scheduling with Uncertainties

    , Ph.D. Dissertation Sharif University of Technology Rafiee, Majid (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In this thesis, a multi-stage project portfolio selection and scheduling problem in an uncertain environment is modeled, analyzed and solved. Moreover, we investigate the situations in which a project manager is confronted to a large number of projects to be selected and scheduled while the required resources of the projects are limited and renewable. The aim is to maximize objective function which is the net present value of the profit of the projects. To solve the mentioned problem, we introduce a multi-stage stochastic programming. For the reason that, in real problems, optimization problems that included all restraints are large scale and have computational complexity, these problems are... 

    Using Time Series and Planning Uncertain Demand in Supply Chain with System Dynamics Approach

    , M.Sc. Thesis Sharif University of Technology Rezaei, Davoud (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In the field of supply chain, management constantly seeks to adopt strategies for realizing its targeted objectives. The supply chain, therefore, includes integrated production-distribution processes with all effective parts where proper management requires a comprehensive and dynamic approach. It is necessary to meet required items at required time. This becomes more important with the supply systems providing items. On the other hand, the difficulty of supply chain management, decisions, and policy-making can be increased by a wide range of conditions such as changes in demand. Thus, a comprehensive approach is needed to take the present dynamics into account. The current paper develops a... 

    Assembly Line Balancing with Sequence Dependent Setup Times

    , Ph.D. Dissertation Sharif University of Technology Yolmeh, Abdolmajid (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In recent years in assembly line balancing area many researchers have focused on identifying and modeling real world situations in assembly lines in order to obtain more suitable model. As a result many generalized models have been developed in assembly line balancing area. However, designing efficient algorithms to solve these generalized problems has just begun. In this study it is aimed to design efficient algorithms to solve one of these generalized problems. Specificcally two hybrid genetic algorithms (GA) are proposed to solve assembly line balancing problem with sequence dependent setup times. Scheduling of tasks in the stations has been less considered in the literature of assembly... 

    Lead Time Quotation and Lot Sizing in Production Systems

    , Ph.D. Dissertation Sharif University of Technology Mokhtari, Ghasem (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    Due date assignment for customer orders has been studied in various production environments. In this thesis a production system is considered in which the orders of several customers are produced in a single lot because of the economy of scale. If a lot is completed before receiving customer orders, inventory carrying cost is incurred. On shortages, a due date is quoted to customers and lead time quotation cost is incurred. The due date may not be met because of (lead-time) uncertainty in production system. Hence if the order is delivered after its due date, tardiness cost is charged. The literature reviews show that such a model is not considered by other researchers. Two different problems...