• 전기학회논문지
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• 제62권3호
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• pp.306-311
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• 2013

The Real-Time-Pricing (RTP) brings greatest values in terms of economic incentives and efficiency among the dynamic pricing schemes. The electric power industry in Korea is mainly operated by publicly owned utilities and strongly regulated by the government; therefore, revenue reconciliation of RTP is inevitably required to prevent revenue deficits. In this paper, a revenue reconciliation of real-time pricing considering imperfect information on customer response is proposed to prevent revenue deficit and distortion of the spot price. A case study is present to verify the applicability of the proposed method.

• Journal of Communications and Networks
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• 제12권3호
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• pp.253-265
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• 2010

The problem of pricing for a telecommunication network is investigated with respect to the users' sensitivity to the pricing structure. A functional optimization problem is formulated, in order to compute price reallocations as functions of data collected in real time during the network evolution. No a-priori knowledge about the users' utility functions and the traffic demands is required, since adaptive reactions to the network conditions are sought in real time. To this aim, a neural approximation technique is studied to exploit an optimal pricing control law, able to counteract traffic changes with a small on-line computational effort. Owing to the generality of the mathematical framework under investigation, our control methodology can be generalized for other decision variables and cost functionals.

• 디지털융복합연구
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• 제1권1호
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• pp.189-212
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• 2003

The quality of Internet services such as VOD and Web storage services deteriorates as the number of users increases beyond a certain point. However, most of the pricing mechanisms in research as well as those in practice do not reflect such situations (i.e., congestion). The purpose of this paper is to show that different types of pricing mechanisms are required and to model such situations using game theory. We extend Fishburn & Odlyzko(1999) model, in which the service quality is the same for the different pricing schemes, to reflect the situations where the service quality is different between the different pricing schemes due to congestion.

• 산업경영시스템학회지
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• 제34권2호
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• pp.68-75
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• 2011

The purpose of this paper is to suggest a supplier and buyer's pricing decision strategy model with discount-policy over a long-term replenishment contract in a supply chain environment by small and medium size manufacturing company. We assume that the buyer has a superior economic power over a supplier and each agent in a supply chain is unaware of each other. The supplier proposes pricing decision strategy to induce the buyer to choose the terms of contract for the benefit of the supplier. Then buyer decides the terms of contract to maximize her profit considering supplier's discount-policy. We also present a numerical example to illustrate the efficiency of pricing decision strategy.

• 한국통신학회논문지
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• 제37권7B호
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• pp.550-564
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• 2012

In this work we propose a new pricing scheme for the wireless Internet services over WiMAX system. First, let us review the characteristics of wireless network which is based on multi-hop relay WiMAX system. Next, we show why usage-based and QoS-aware pricing scheme is needed in the wireless Internet. After that, we propose a theoretical model for the price of multimedia services called a DAP (DiffServ-aware pricing) scheme for the WiMAX multimedia network which takes into account the consumed radio resource of WiMAX system as well as the supported QoS in the IP backbone network. Finally, we present explicit formulae for the packet price, price of consumed radio resource, and price of consumed bytes.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2002년도 춘계학술대회
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• pp.181-198
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• 2002

This article describes a methodology for evaluating huge aerospace R&D investments using the real options pricing method. Option pricing has been proposed as a useful approach for modeling investment in R&D. Two important features of R&D investments are that an R&D project takes time to complete and that the outcome of R&D investments is highly uncertain. This makes the analysis of R&D investments difficult. Traditional tools for project evaluation, like IRR or the NPV, are inadequate for coping with the high uncertainty. Hence, In this article I propose a log-transformed binomal lattice method, and it will show that option pricing might be an adequate framework for evaluating such types of aerospace investments.

• Industrial Engineering and Management Systems
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• 제12권2호
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• pp.95-102
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• 2013

It is difficult to determine an appropriate discount price for daily perishable products to increase profit from a long-term standpoint. Even if the discount pricing is efficient to increase profit of the day, consumers memorize the sales price and they might hesitate to purchase the product at a regular price the following day. The authors discussed the inventory clearance pricing for a single period in our previous study by constructing a mathematical model to derive an optimal sales price to maximize the expected profit by considering the reference price effect of demand. This paper extends the discussion to handle the discount pricing for multiple periods. A mathematical analysis is first conducted to reveal the properties on an objective function, which is the present value of total expected profits for multiple periods. An algorithm is then proposed to derive an optimal price for asymmetric consumers. Numerical experiments investigate the characteristics of the objective function and optimal pricings.

• 전기학회논문지
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• 제65권7호
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• 감성과학
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• 제21권4호
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• pp.3-10
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• 2018

The present study explores two relationships: first, between number of payment and payment option preference, and second, total sum and payment option preference, with pain of payment as a mediator variable. The analyses revealed that consumers who feel higher pain of payment preferred the pennies-a-day pricing to the aggregate pricing when the per-payment price is low. Consumers who experience higher pain of payment prefer to pay in small frequent installments because they feel the small per-payment price can be comparable to daily expense. Consumers who experienced higher pain of payment preferred aggregate pricing to pennies-a-day pricing when the per-payment price was high. When the per-payment price is high, it is no longer comparable to daily expense, thus leading to greater pain of payment among consumers. The study discusses the implications for mechanism of pain of payment on payment option preference.

• 스마트미디어저널
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• 제12권1호
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• pp.54-61
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• 2023

Pricing, as one of the most important aspects of a business, should be taken seriously. Whatever affects a company's pricing system tends to affect its profits and losses as well. Currently, many manufacturing companies fix product prices manually by members of an organization's management team. However, due to the imperfect nature of humans, an extremely low or high price may be fixed, which is detrimental to the company in either case. This paper proposes the development of a fuzzy-based price expert system (Expert Fuzzy Price (EFP)) for manufacturing companies. This system will be able to recommend appropriate prices for products in manufacturing companies based on four major pricing strategic goals, namely: Product Demand, Price Skimming, Competition Price, and Target population.