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In this thesis, a new location-pricing model considering inventory costs has been developed. We should locate a certain number of distribution centers over the market area as a network and also determine the price and inventory of product in each distribution center for reach the maximum profit. A mathematical model was developed to maximize the earned profit. A hybrid algorithm is developed as a solution method including a tabu search algorithm for determining distribution centers location and an exact solution for determining pricing and inventory in each distribution center. Algorithm performance is compared against GAMS optimization solver and exact method.

 

The toll pricing problem has been investigated in the literature for the cases of link, cordon, and facility (bridge, tunnel and etc.) pricing. Taking advantages of new technologies, nowadays it is possible to track the path of individual vehicles and collect the tolls by means of electronic devices. In this regard, we concerned the problem of path pricing. In this thesis, a variety of models for path pricing is proposed, the models are solved for the Hearn network and the results are compared to the results of link pricing models. In addition to the models, one exact solution method and two heuristic methods are proposed for the model of path pricing with the minimum total toll.... 

The present research investigates the conjunction of two areas of pricing and negotiation techniques to find a relationship between price and other key factors such as quality, quantity, time, etc. and observe the overall effect of these factors on how to design and implement negotiations over price in B2B environment. The research presents a model to describe the process of negotiation and applies quantitative methods to rank negotiable scenarios. This set of scenarios, then is sorted in a triangular model of negotiation strategy and is used as a roadmap for negotiation. Furthermore, researcher evaluates effective tactics and their implementation to drive negotiation sessions based on... 

The recent advances in communications and processing technologies have paved the way for a new business model in IT industry. In this new model, frequently called “software as a service” or in short SAAS, software is hosted on servers operated by a software vendor instead of customers and all required transactions take place through the network, especially through World Wide Web. There are several differences between traditional business models and SAAS, including pricing and revenue model. Given the fact that vendor’s can monitor the customer usage, new and more complicated price structures such as usage-based pricing is possible, In this new business model. Although this pricing structure... 

Today service sector is an important part of economy in many countries and it accounts for a great portion of GDP in developed countries. The importance of the service sector has led to an expansion in research worldwide on services. Service has some unique specifications that make it different from product and research in this field is more challenging than production field. Pricing is one of the great challenges in service sector. Due to its intangibility and perishability, managing and pricing of service is complicated and ervice firms consistently seek for method and approaches to better manage their demand, capacity and prices. Advance sale is an effective approach which is commonly... 

In recent years, Supply Chain Management has become one of the most desired concepts for Industrial engineers. In this thesis, specifically, one of the SCM’s aspects, Joint Economic Lot Sizing1, which in literature have been studied by various people with different viewpoints, is considered and a two-stage supply chain facing certain demands is studied. These demands are changing as a function of selling price determined by a supply chain and the goal is to increase the chain’s total profit in comparison of individual policies in which members decide about their profits separately. The optimal amount of selling price varies end-customer demands exponentially and leads to changes in economic... 

Dealing with uncertainty in demand, Seasonal product retailers have to make two important decisions. The first one is pricing of the products during their selling season and the second issue is the inventory level and also reordering decisions during the aforementioned period. It is worth mentioning that all products are using a shared capacity which left us barehanded with the pricing and optimizing inventory levels independently. In this thesis, a new model for retailers is presented which includes demand learning and determines optimal prices and inventory policies for multiproduct industries  

In this study, four pricing models in a supply chain are developed. The first model includes a retailer. The second model also includes a retailer. However in this model we apply the learning technique to update the stochastic demand. In the third model, we consider a supply chain consisting of a retailer and a manufacturer. Finally, in the fourth model we consider a supply chain consisting of a retailer and a manufacturer and like the second model; we apply the learning technique to update the stochastic demand. In all models we assume that a single product is sold in a monopoly market. In this study we seek to simultaneously determine decisions about production, pricing and ordering to... 

The dynamic behavior of networks largely depends on their structural properties. The information or failures can spread through the links of complex networks constructed by people or agents, and their physical and informational contacts. In this research, the process of network diffusion was investigated in different model and real networks. In particular, we focused on ”cascaded failure” and ”viral marketing” which are among the major topics that have attracted much attention in this context. Firstly, we investigated the robustness of modular complex networks against random and systematic component failures. Many real-world networks have modular structure and they may undergo random errors... 

In this Thesis pricing has been used in Job-shop scheduling problem in detailed scheduling point of view. Also, in this study, due date is price-dependent variable in wich the manufacturer has the ability to choose one item from some pairs of prices and due dates for every jobs in order to maximize the total profit, i.e. revenue less scheduling cost. In this problem, total weighted tardiness has been choosen for scheduling cost. In this research, pairs of prices and due dates has been studied. According to the complexity of this problem, a Genetic algorithm has been proposed to solving the problem. As a managerial insight, it shown that joint optimization of pricing and scheduling decisions... 

Toll Pricing as a means to relieve traffic congestion has received significant attention by transportation planners recently. Inappropriate use of transportation networks is one of the major reasons that cause congestion in networks. Toll Pricing is a method of traffic management which guides the traffic flow to proper time and path in order to reduce the total delay in networks. This thesis investigates a method for solving Minimum Toll Revenue problem in real and large scale transportation networks. The objective of this problem is to find tolls that simultaneously cause users to use the transportation network effectively and minimize the total toll revenues that must be collected.... 

This study investigates optimal strategies for price, warranty length and production rate of a new product to maximize profit of a producer during lifecycle of the product. We consider both durable products and non-durable ones. Customers buy non-durable products many times but if we consider the planning horizon relatively short, each customer buys one product during the period. So, the market for non-durable products is static and for durable ones is dynamic. The objective function includes both demand and cost functions, where production cost, warranty cost and inventory costs are involved. A solution approach using the maximum principle is described and some propositions are discussed... 

People often conduct extensive searches in Internet, when they are involved in purchasing process of digital products. One primary challenge with the method of such searches is this fact that they heavily rely on a wide variety of technical characteristics, while buyers not being well familiar with such attributes. As such, they frequently fail to identify and purchase the right product. To address this issue, value-based approach is proposed by which the decision process is expected to be facilitated and become more efficient since it is based upon direct comparison of values gained by each product. In this thesis, as a case study for digital products, value attributes of mobile products... 

In this thesis, three popular option pricing models, Black and Scholes Model, Heston Model and Bates Model are compared to each other in economic crises situation. We carry out a comparison between different option pricing models based on S&P500 Index options during 2008. First these data are classified regarding to moneyness and maturity time in nine categories and then the performance of the models, exerting two indexes, In Sample performance and Out Of Sample performance are compared in every category. To reach the prices via In Sample performance index, structural parameters of each model are estimated with the data of each day. Then, daily prices are computed by models and compared with... 

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... 

Several countries in the Middle East – North Africa (MENA) region have been always faced drought in their histories, so they implementing many strategies to manage vital water resources for many years. Because of the volume of water available for food production has not been sufficient to meet increasing demands, it has became a critical issue today, to optimize the consumption of water. One of the best policies is to use financial tools to adjust the water usage.In this research we have studied the effects of two scenarios on the volume of water consumption. The firs scenario is to increase the water price, and we have studied the consumers’ reactions. The second scenario is to lend the... 

This dissertation develops a new approach in network revenue management problems, with concentration on hotel industry. Several methods and heuristics are suggested in the literature to obtain an appropriate solution for network problems, however their focus is mostly on the transportation carriers. These heuristics do not seem to have satisfying effectiveness for hotel industry cases, because of significant difference between these two industries including the network structures, demand distributions and competition markets. On the other hand, with the tremendous growth of the internet and online sale channels, customers’ purchase behavior is modifying drastically. However this behavioral... 

Price and warranty are two powerful marketing tool that can stimulate consumers’ purchase willingness. Therefore, producers must choose the appropriate price and warranty that can stimulate customers to purchase the quantity that will achieve the maximum profit. This study investigates optimal strategies for price and warranty length of a new product to maximize profit of a producer during lifecycle of the product. We consider both durable products and non-durable ones. Customers buy non-durable products many times but if we consider the planning horizon relatively short, each customer buys one product during the period. So, the market for non-durable products is static and for durable ones... 

When demand for a product is price sensitive, pricing and lot sizing decisions are interdependent. Similarly, when a product is highly perishable, the demand may need to be backlogged to avoid costs due to deterioration, i.e., perishability and backlogging are complementary conditions.In this thesis we stablish two economic production quantity models for deteriorating items under conditions of finite production, exponential decay and partial backordering and lost sale. Two joint pricing inventory control models are developed for the problem by employing different modeling approaches over an infinite planning horizon. In two models, customer is viewed to be impatient and the fraction of the... 

In the research, the order acceptance and scheduling problem is integrated with pricing in order to maximize the net profit. Two mixed linear integer programming models have been proposed for the problem. A two level tabu search algorithm is proposed to solve the model. The suitable structure is determined for the algorithm based on numerical experiments. Based on experimental design results, the hybrid of random initial solutions and swap move in neighborhoods determination is the best structure for the algorithm. Numerical analysis shows the reasonable performance of proposed algorithm