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    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... 

    Reliability analysis of rammed earth structures

    , Article Construction and Building Materials ; Volume 127 , 2016 , Pages 884-895 ; 09500618 (ISSN) Kianfar, E ; Toufigh, V ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    Rammed earth (RE) structures are widely used for more sustainable and environment-friendly buildings. Due to lack of design standards, the engineering decisions often rely on rule-of-thumb method which may lead to quite conservative or unsafe designs. In this study, load and resistance parameters were treated as random variables in reliability analysis. The reliability index and failure probability of RE structures were evaluated using First-Order-Reliability-Method (FORM) and then compared with Second-Order-Reliability-Method (SORM) and Monte Carlo Sampling method. The analysis was performed based on the different a) load combinations, b) wall geometry, c) material type (unstabilized or... 

    Methodology and theory: plant function deployment via RCM and QFD

    , Article Journal of Quality in Maintenance Engineering ; Volume 16, Issue 4 , 2010 , Pages 354-366 ; 13552511 (ISSN) Kianfar, A ; Kianfar, F ; Sharif University of Technology
    2010
    Abstract
    Purpose - This paper aims to address the capability of reliability-centered maintenance (RCM), which is a preventive maintenance design tool. Design/methodology/approach - A model named Plant Function Deployment (PFD) is developed, in which the methodology of quality function deployment (QFD) is added to RCM to improve RCM capability in preserving the functions of the plants. Findings - The objective of preserving the plant functions with least resources, in RCM, is attained more efficiently if the methodology of QFD is added to RCM. Practical implications - PFD is a model for designing a preventive maintenance program which uses RCM and QFD methodologies. PFD organizes all the important... 

    Lot sizing and lead time quotations in assembly systems

    , Article Scientia Iranica ; Volume 16, Issue 2 E , 2009 , Pages 100-113 ; 10263098 (ISSN) Kianfar, F ; Mokhtari, G ; Sharif University of Technology
    2009
    Abstract
    In this paper, a simultaneous lead time quotation and lot sizing problem in an assembly system is investigated. We address a production system with a product that has deterministic demand over a T-period planning horizon and is produced in lots because of the economy of scale. If a lot is completed before the demand period, inventory carrying cost is incurred. On shortages, a lead time is quoted to customers and a lead time quotation cost is incurred. Finally, if the order is delivered later than its due date period, a tardiness cost is charged. The components supply lead time is stochastic, which follows a discrete distribution. The problem is to decide on the lot size of products and... 

    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... 

    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... 

    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... 

    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... 

    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  

    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... 

    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... 

    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... 

    Optimal Investment Strategies in Discrete-Time With Access to Derivatives

    , M.Sc. Thesis Sharif University of Technology Mousavi, Reza (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    Optimal investment strategies are often derived in continuous time models, but have to be implemented in discrete time. It has been shown that in models with stochastic volatility or jumps; this could lead to significant utility loss, for an investor who utilizes ‘Derivatives’ in his/her portfolio. In this study, we determine the optimal investment strategies with discrete trading explicitly taken into account, through ‘Stochastic Dynamic Programming’. These strategies are in the form of optimal factor exposures for portfolio. The investor, then, needs to use sufficient non-redundant Derivatives in addition to the ‘Stock’ to gain the desired exposures in each point of state space he meet.... 

    Forecasting Crude Oil Prices: A Comparison between Artificial Neural Networks and Vector Autoregressive Models

    , M.Sc. Thesis Sharif University of Technology Ramyar, Sepehr (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    Crude oil is a key element in world economy and the most widely traded form of energy. Therefore, a clear and effective understanding of crude oil price behavior is of great importance for businesses, governments and policy makers. Taking into account the exhaustible nature of crude oil and impact of monetary policy along with other major drivers of crude oil prices, this paper investigates predictability of oil prices using artificial neural networks. A Multilayer Perceptron (MLP) neural network is developed and trained with historical data from 1980 to 2014 and using mean square error (MSE) for testing data, optimal number of hidden layer neurons is determined. Meanwhile, an economic model... 

    A Risk based Project value Model to Obtain the Optimum Value of Activities’ Costs

    , M.Sc. Thesis Sharif University of Technology Salari, Mostafa (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    In the proposed model, it is attempted to obtain the optimum cost of activities concerning their relevant risks. I n doing so, the concept of risk based project value (RPV) has been employed to measure the expected earn of each individual activity in the presence of risks. Generally, in the model, the risks are divided into critical and non-critical risks. Critical risks cause termination of activities and non-critical risks that are not as severe as critical risks and lead to monetary lost. In the next step, the risk response plans are utilized to reduce the possible adverse effects of risks. These plans, also known as action plans, are the preventive or adaptive actions that aim to reduce...