• Environmental and Resource Economics Review
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• v.14 no.3
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• pp.729-751
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• 2005

RPS(Renewable Portfolio Standards) is an institutional device to promote use of renewable energy through market mechanism by making renewable energy to constitute a pre-announced portion of the electricity production. We measure economic impacts of the introduction of RPS to domestic electricity market at the levels of electricity market, individual industrial sectors and the economy as a whole. First, we examine the TREC(Tradable Renewable Energy Credits) market, where the credits in excess of the obligation of the renewable energy production are sold to those who have to meet the obligation through purchased credits. We then measure end-users' additional cost originating from the introduction of RPS and TREC in electricity production, and their impacts on price and supply in the retail electricity market. Next, using input-output analysis, we measure economic impacts of the changes in retail price and supply on individual industrial sectors and the economy as a whole. Among many others, we find small price effect and large GDP effect - sectoral electricity price rises at around 5%, sectoral price level rises by 0.258%, and sectoral GDP declines by 1.940% on average by the year 2011.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.257-262
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• 2023

As part of their marketing policy, some suppliers allow retailers a period of credit in anticipation of increasing demand for the products they supply. The opportunity to defer payments on products through credit transactions has the effect of reducing retailers' inventory investment costs, and as a result, retailers determine selling prices in anticipation of increased demand from buyers. This study aims to analyze the inventory model that determines the retailer's selling price and EOQ(Economic Order Quantity) under the assumption that the buyer's demand is an exponentially decreasing function of the retailer's selling price in the credit transaction supply chain consisting of suppliers, retailers, and buyers. The products supplied for problem analysis include the case of deteriorating products that deteriorate over time, and the effect of the credit transaction period, the index of price elasticity and the degree of deterioration on the retailer's selling price and EOQ is analyzed.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.83-97
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• 2008

Today's competitive global market makes most enterprise endeavor to specialize their business areas, and co-operate with trading partners in supply chain by the forms of collaboration, information and business process sharing. However, even the supply chain plan generated by co-operation often fails to be executed successfully, because it was generated without capacities of suppliers and more over nested suppliers. To overcome this limitation, the supply chain plan of an enterprise should be generated truly integrated way. In this paper, we classify business patterns based on scenarios about quotation processing and supply chain planning in self-integrated environment. And we present business process models about four business patterns and describe them, which are classified by whether request for quotation includes information about price, required time periods, and quantity for each required time period and whether it is received from customer or sent to supplier. In addition, we describe the types of supply chain planning problem.

• IE interfaces
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• v.21 no.3
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• pp.343-353
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• 2008

Vendor-managed inventory(VMI) is a supply chain strategy to improve the inventory turnover and customer service in supply chain management. Unfortunately, many VMI programs fail because they simply transfer the transactional aspects of placing replenishment orders from customer to vendor. In fact, such VMI programs often degrade supply chain performance because vendors lack capability to plan the VMI operations effectively in an integrated way under the dynamic, complex, and stochastic VMI supply chain environment. This paper presents a decision support system, termed DSSV, for VMI in the retail supply chain. DSSV supports the market forecasting, vendor's production planning, retailer's inventory replenishment planning, vehicle routing, determination of the system operating parameter values, retailer's purchase price decision, and what-if analysis. The potential benefits of DSSV include the provision of guidance, solution, and simulation environment for enterprises to reduce risks for their VMI supply chain operations.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.151-162
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• 2018

In deriving the economic order quantity (EOQ) formula, it is tacitly assumed that the buyer has to pay product price while receiving the product from the supplier. However, as a marketing policy, some suppliers permit a delay in payments to the buyers to increase demand for the product they made. Credit transactions would have a positive effect on both suppliers and buyers. For a supplier who offers trade credit, it is an effective means of price differentiation to increase the demand for the product. Availability of opportunity to delay the payment in buyer effectively reduces the cost of holding stocks and therefore, the buyer has a lot of price options to choose his sales price for a customer. Since the buyer's order is affected by the customer's demand, the problems of determining the sales price and EOQ are interdependent and must be solved simultaneously. From this perspective, this paper evaluates the problem of determining the optimal sales price and EOQ for the buyer at the same time when the supplier allows a delay in payments for the product whose demand is represented as a function that decreases linearly with the sales price. For the analysis, it is also assumed that inventory is exhausted not only by customer's but also by decay.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.241-248
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• 2011

Past theories on construction price formation have been shown to be inadequate in terms of their ability to represent real-life industry practice and price formation predictability. In this paper, we develop a theoretical framework on construction price formation that integrates four theories within the domains of marketing, learning, resource management and economics. These are: (i) marketing pricing theory; (ii) experiential and organisational learning theory; (iii) resourced based theory and (iv) microeconomic theory. Utilising pricing theory from marketing, a foundation is able to be created for the procedure of construction price formation, namely: (i) identifying the objectives; (ii) assessing the tendering environment; and (iii) formation of the price. However, understanding contractors' decision making process in tender pricing as such can be attributed to theories of experiential learning and consequently organisational learning. It is argued that contractors do learn from past experience and history and are able to adapt to different market conditions. In formation of the price, neoclassical microeconomics is able to provide additional insight in terms of the supply and demand model and consideration of the market conditions. Interrelated with the microeconomic concept of scarcity, we appreciate that contractors do have limited resources that affect their tender pricing decisions and resource based theory is used to substantiate this. Integrating the various theories as a unity allows the broader reality to be visualised and add to our theoretical understanding of construction price formation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.142-146
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• 2006

This paper considers a SCM issue concerned with an integrated problem of inventory control and dynamic pricing strategies when demands are price and time dependent. The associated price markdowns are conducted for inventory control in a two-layer market consisting of retailer and outlet as in fashion apparel market. The objective function consists of revenue terms (sales revenue and salvage value) and purchasing cost term. Specifically, decisions on price markdowns and order quantity are made to maximize total profit in the supply chain so as to have zero inventory level at the end of the sales horizon. To solve the proposed problem, a gradient method is applied, which shows an optimal decision on both the initial inventory level and the discount pricing policy. Sensitivity analysis is conducted on the demand parameters and the final comments on the practical use of the proposed model are presented.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.512-514
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• 2001

Recently, Korea's electric industry is in the midst of a period of profound changes in the structure and function, including the introduction of market competition in the generation sector. Korea is in the early stages of market competition, so the market price is chosen by generation costs but will be chosen by bids in future. Therefore, the profits of generators is determined by market pool price and the prospects of pool price are very important for new capacity investment determination of generators and IPPs. This study analyzes hourly marginal costs and LOLP considering basic generation mix and characteristics, develops the relationship of pool price using the above in competition market, and proposes basic direction for profits variation and supply-demand analysis in the electric market in future.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.17-25
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• 2022

Although the two types of currencies compete, the possibility of a virtual currency price bubble is diagnosed by assuming an economic model with currencies (won, virtual currency) that are intrinsically worthless. The won is supplied by the central bank to achieve the price stability target, while the supply of virtual currency increases by a fixed number. According to the basic price theory equation, as a simple proposition, cryptocurrency prices form a Martin Gale process [Schilling and Uhlig, 2019, p.20]. Based on the existing theoretical proposition, we applied the variance ratio verification method [Linton and Smetanina, 2016] and a simple technical chart method for empirical analysis. For the purpose of this study, the possibility of a bubble was empirically analyzed by analyzing the price volatility formed in the Korean virtual currency market over the past year, and brief policy implications for this were presented.

• The Journal of Information Systems
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• v.13 no.2
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• pp.135-153
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• 2004

The formation of a supply chain should be approached with distributive viewpoint considering the dynamic nature of ordering environments. The purpose of this paper is to design a semantic web to support agent negotiation forming supply chains. With the view of a supply chain as composed of competitive agents which represent each member of supply chains with a local goal, a supply chain is formed through negotiation of price, due date choosing partners to contract. In the development of a negotiation method, we employ ontology and rules which are the basic techniques of the semantic web for supporting automated negotiations. Especially, a framework for a negotiation process is suggested and domain, processes and rules ontology are designed interrelatedly. With this modeling, a possibility of the semantic web based agent negotiation is suggested.