Integrated Pricing and Queuing Problem

, M.Sc. Thesis Sharif University of Technology Goodini, Kambiz (Author) ; Shavandi, Hasan (Supervisor)

Abstract

Joint price and service capacity decisions and integrated pricing and queuing problems with finite or infinite buffers are two remarkable issues of pricing research. In this thesis we consider a joint price and service capacity determination problem in a single server, finite buffer queuing system. Customers arrival and serving occur as Poisson processes. Because of finite buffer capacity, customers finding the system full upon their arrival would be rejected. Customers differ with respect to their reservation prices and time sensitivities. This study focuses on investigating the effect of finite buffer capacity and customers reservation prices and time sensitivities on optimal policy and...

Application of Pricing in Flowshop Scheduling

, M.Sc. Thesis Sharif University of Technology Yarali, Safar (Author) ; Shavandi, Hasan (Supervisor)

Abstract

This research considers coordination of pricing and scheduling decisions in a make-to-order environment. We consider a two machine flowshop environment. The objective is to maximize the total net profit, i.e. revenue minus scheduling cost resulting from pricing and scheduling decisions. Prices of orders are set by the manufacturer and demand is a non-increasing function of price. Two mixed integer linear programming models have been developed for the research problem. As the problem is shown to be NP-Hard, a Metaheuristic algorithm is developed which is combination of two tabu search sub algorithms, one for pricing and the other for scheduling. And to evaluate performance, results from...

Distribution Problem in Heterogeneous Networks with the Assumption of Flexibility in the Delivery of Goods

, M.Sc. Thesis Sharif University of Technology Fakhimi, Ramin (Author) ; Shavandi, Hasan (Supervisor)

Abstract

In this research, we consider a network of distiribution channels and a central warehouse to deliver the products to distribution centers. We assume the price of products are fixed and the central warehouse is authorized to change the delivery amount for each DC in a reasonable interval. The main idea is authorizing the central warehouse to be flexible in delivery of ordered amounts of DCs in a reasonable interval in order to reduce the transportation cost and then maximizing the profit.
The problem is formulated as a linear integer programming model and the properties of optimal solution is analyzed. Based on the properties of the model a solution algorithm is developed to solve the...

Pricing and Lead Time Decisions in Decentralized Supply Chains Under Competition

, M.Sc. Thesis Sharif University of Technology Afzalabadi, Maryam (Author) ; Shavandi, Hasan (Supervisor)

Abstract

This thesis investigated a two-echelon supply chain consists of one retailer and several manufacturers that faces a price and lead time sensitive demand. We use a Stackelberg game for decision analysis of prices and lead times determined by manufacturers as Leader and retailer as a Follower. We assume that demand depends to the retailer’s price. Market share of each manufacturer, is also price and lead time sensitive. Objective of each firm is to determine price and planned lead time to maximize her own profit. We first determine the best response of the retailer to manufacturers’ decision and next at manufacturers’ level, we will solve the problem for one manufacturer at first and then we...

Transfer Pricing in Multinational Firms with Vertical Differentiation

, M.Sc. Thesis Sharif University of Technology Taefi Aghdam, Niloofar (Author) ; Shavandi, Hasan (Supervisor)

Abstract

For Organizations that intend to do their various activities in the form of separate and independent units, precise information about the profits or losses of each unit is very important. One of the most important factors required to determine the profitability of units and their performances, is the price at which goods and services are exchanged amongst units. The value assigned to these transactions and events is called "transfer price". As these transfers occur within the organizations, and they heavily affect the performance evaluation of managers of different parts of the organization, their valuation must be performed with sufficient insight.
This paper examines the impact of...

Developing a location-inventory model under fuzzy environment

, Article International Journal of Advanced Manufacturing Technology ; Volume 63, Issue 1-4 , 2012 , Pages 191-200 ; 02683768 (ISSN) Shavandi, H ; Bozorgi, B ; Sharif University of Technology

2012

Abstract

Nowadays, location of distribution centers integrated with inventory or transportation decision play an important role in optimizing supply chain management. Location-inventory models analyze the location and inventory policies in distribution network, simultaneously. Developing location-inventory models under fuzzy environment can enrich the model, and this is our approach in this article. We consider the demand as a fuzzy variable and formulate the problem using credibility theory in order to locate distribution centers (DCs) as well as determining inventory levels in DCs. The derived model belongs to nonlinear mixed integer programming problems, and we presented a genetic algorithm to...

A hybrid intelligent model using technical and fundamental analysis to forecasting stock price index

, Article Economic Computation and Economic Cybernetics Studies and Research ; Volume 44, Issue 2 , 2010 , Pages 95-112 ; 0424267X (ISSN) Shavandi, H ; Alizadeh, P ; Sharif University of Technology

2010

Abstract

In this paper we develop a hybrid forecasting model which combines artificial intelligence and technical analysis to predict short-term stock price index. The results show that using technical indices as neural network's inputs yields good performance in forecasting short-term prices, but this model cannot predict long-term prices well. To overcome this shortcoming we have exploited a fuzzy inference system based on analyzing the historical effects of macro economic variables on the stock markets' indices. Our forecasting models differ from the other ones in two main aspects: the first one is analyzing previous macroeconomics trends in order to build a Mamdani FIS and the second one is...

Fuzzy hierarchical queueing models for the location set covering problem in congested systems

, Article Scientia Iranica ; Volume 15, Issue 3 , 2008 , Pages 378-388 ; 10263098 (ISSN) Shavandi, H ; Mahlooji, H ; Sharif University of Technology

Sharif University of Technology 2008

Abstract

In hierarchical service networks, facilities at different levels provide different types of service. For example, in health care systems, general centers provide low-level services, such as primary health care, while specialized hospitals provide high-level services. Because of the demand congestion at service networks, the location of servers and their allocation of demand nodes can have a strong impact on the length of the queue at each server, as well as on the response time to service calls. This study attempts to develop hierarchical location-allocation models for congested systems by employing a queueing theory in a fuzzy framework. The parameters of each model are approximately...

A fuzzy queuing location model with a genetic algorithm for congested systems

, Article Applied Mathematics and Computation ; Volume 181, Issue 1 , 2006 , Pages 440-456 ; 00963003 (ISSN) Shavandi, H ; Mahlooji, H ; Sharif University of Technology

2006

Abstract

This article presents a fuzzy location-allocation model for congested systems. In service networks, such as health and emergency services, public safety, fire fighting and so on, the location of servers and allocation of demand nodes to them have a strong impact on the congestion at each server and as such, on the quality of service. The previous efforts in this area have concentrated on enhancing the reliability and quality of service with a probabilistic orientation. In this paper we utilize fuzzy theory to develop a queuing maximal covering location-allocation model which we call the fuzzy queuing maximal covering location-allocation model. We consider fuzzified queuing parameters as well...

A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets

, Article Expert Systems with Applications ; Volume 208 , 2022 ; 09574174 (ISSN) Shavandi, A ; Khedmati, M ; Sharif University of Technology

Elsevier Ltd 2022

Abstract

Algorithmic trading based on machine learning is a developing and promising field of research. Financial markets have a complex, uncertain, and dynamic nature, making them challenging for trading. Some financial theories, such as the fractal market hypothesis, believe that the markets behave based on the collective psychology of investors who trade with different investment horizons and interpretations of information. Accordingly, a multi-agent deep reinforcement learning framework is proposed in this paper to trade on the collective intelligence of multiple agents, each of which is an expert trader on a specific timeframe. The proposed framework works in a hierarchical structure in which...

Fuzzy queuing location-allocation models for congested systems

, Article International Journal of Industrial Engineering : Theory Applications and Practice ; Volume 11, Issue 4 , 2004 , Pages 364-376 ; 10724761 (ISSN) Shavandi, H ; Mahlooji, H ; Sharif University of Technology

University of Cincinnati 2004

Abstract

Since in the emergency service networks the length of time to attend a call is of utmost importance, it is imperative to observe guidelines in locating the service centers within a service network and allocating the demand nodes to them in a manner that service can be provided within a reasonably short period of time. So far both qualitative and quantitative models have been developed to tackle these problems. The latest models which assume a probabilistic orientation, use queuing theory notions to achieve a more suitable solution. This article attempts to apply both queuing theory and fuzzy theory to the location-allocation problem in hope of analyzing the problem in a more realistic...

Stock Price Forecasting Using Neural Networks and Fuzzy Logic

, M.Sc. Thesis Sharif University of Technology Alizadeh, Parisa (Author) ; Shavandi, Hassan (Supervisor)

Abstract

This research proposes a novel hybrid method for stock price index forecasting relying on technical analysis, the fundamental analysis of capital market, neural networks technology, and fuzzy logic. The new method shows a good performance comparing complicated and time-consuming forecasting methods. Several factors influence stock price; for example, an important one is the previous trend of stock price. Fortunately, by developing technical analysis and introducing the various indices of this method the maximum use of historical data is made in order to forecast future prices. Another kind of factors is macro-economic variables that their influence on the long-term trends of the stock...

Designing an Intelligent Heart Disease Prediction System Via Data Mining Techniques

, M.Sc. Thesis Sharif University of Technology Sharabiani, Ashkan (Author) ; Shavandi, Hassan (Supervisor)

Abstract

The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not“mined” to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes nexploited. Advanced data mining techniques can help remedy this situation. The diagnosis of diseases is a vital and intricate job in medicine. The recognition of heart disease from diverse features or signs is a multi-layered problem that is not free from false assumptions and is frequently accompanied by impulsive effects. Thus the attempt to exploit knowledge and experience of several specialists and clinical screening data of patients composed in databases to assist the...

A Joint Inventory-Location Model in Service Systems

, M.Sc. Thesis Sharif University of Technology Sadeghi, Elham (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this research a joint location- inventory problem is analyzed. We assumed two kinds of inventories: fast-moving and slow-moving goods. These two kinds of goods can be observed in after sales service systems. In the real world fast moving goods are stocked in all dealers but for slow moving goods there is no force to stock in all dealers. Therefore an important decision in these systems is where and how much we should stock the slow moving goods and how each dealer can supplies its demand for slow moving goods. In this research we model this problem as a joint location-inventory model which locates some warehouses in the network to stock the slow moving goods and assigns the dealers to...

Designing of Clinical Decision Support System for Heart Disease Diagnosis Using Data Mining Techniques

, M.Sc. Thesis Sharif University of Technology Sali, Rasoul (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this study hybrid classification models by combining genetic algorithm and classifiers such as neural network and decision tree are presented and efficiency of these models is tested on 5 different databases against other proposed models in this area. This comparison shows that the model obtained by combining genetic algorithm and neural network obtains better results than other models. Afterwards this model is used as a decision support system in diagnosis heart disease and in addition to determining the parameters of neural network such as the number of hidden layers and the number of neurons in each layer, efficient features in diagnosis heart disease are also determined. Among the...

, M.Sc. Thesis Sharif University of Technology Abrishami, Shokoofeh (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this research, the location-inventory problem is developed in order to design a distribution center considering customers behavior. We consider two groups of customers who have different behavior on purchase. The customers may order the product via internet and receive it at their location or go to the nearest store and buy the product at the store center. We model the problem as a multi-objective programming model. The objectives are maximizing the profit as well as maximizing the market share. The model locates the distribution centers (DC) and allocates the customers to DCs. Two heuristic algorithms developed to solve the model: non- dominated Sorting Genetic Algorithm (NSGA-II) and...

Patient Allocation and Scheduling in Healthcare

, M.Sc. Thesis Sharif University of Technology Zahabi, Maryam (Author) ; Shavandi, Hassan (Supervisor)

Abstract

One of the main applications of revenue management is in healthcare industry. By combining these two concepts, subjects such as patient allocation and scheduling and no-show rates were developed in the literature. Up until now, allocation and scheduling were considered separately in the literature. Also, no-show rates were predicted using regression models and data mining tools and these predictions were rarely used in scheduling systems. In this thesis, we combined allocation based on patients’ insurance type with scheduling based on patients’ no-show rates. Also, patients’ no-show rates were predicted and these rates were used in the proposed scheduling model. Firstly, the integrated...

Modeling and Simulation Optimization of Hotel Revenue Management with Customer Choice Behavior

, M.Sc. Thesis Sharif University of Technology Karimi, Zahra (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this thesis, the problem of the hotel revenue management with the customer choice behaiver has been studied . In this model , each customer has a preference order among the set of products. He purchased or booked his products according to his ordered list of preferences. Because the high number of hotel products are assumed, each customer can only choices different fare classes and the list of the preference customers is made up of different fare classes. Two different approaches have been used to solve this problem . The first approach is The linear programming model in which α percent of the capacity is allocated to business customers and the remaining capacity to leisuer customers...

The Inventory-Location Model under Disruption Risk

, M.Sc. Thesis Sharif University of Technology Farahani, Maryam (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this research we study multi-commodity inventory-location problem under disruption risk that is formulated to a nonlinear integer-programming model. The objective function of this model is minimization of inventory and location costs simultaneously under disruption risk. These disruptions may be caused by natural events such as earthquake, flood, fire and man-made sources like labor strike or terrorist attack. The structural design of a supply chain greatly affects how these kinds of disruption risks influence the network. In this regard, this study proposes a strategy to reduce the impacts of disruption risk by considering substitute commodity in the multi-commodity inventory-location...

Joint Inventory Planning and Bundle Pricing with Considering Customer Behavior

, M.Sc. Thesis Sharif University of Technology Hamidian, Nooshin (Author) ; Shavandi, Hassan (Supervisor)

Abstract

In this study, we consider a newsvendor problem. The newsvendor in addition to determine order quantities must also determine the selling price of each product. The demand of each product is of a stochastic nature and depends on the selling price. It is assumed that products are cross-elastic. We also assume that retailers want to apply mixed bundling strategy. It means that in addition to selling products separately, they sell them as bundles. Two types of two-steps algorithms (p-constant, q-constant) were proposed. First we applied these algorithms for newsvendor problem with 2 single products and 1 bundle. After demonstrating its efficiency, algorithms were developed for solving problems...