• Title/Summary/Keyword: Clearance Pricing

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A Mathematical Analysis on Daily Inventory Clearance Pricing with Consumer's Reference Price

  • Koide, Takeshi;Sandoh, Hiroaki
    • Industrial Engineering and Management Systems
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    • v.11 no.1
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    • pp.30-38
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    • 2012
  • This paper discusses a clearance pricing on daily perishable products considering a reference price of consumers. The daily perishable products are sometimes sold at a discount price before closing time to stimulate demand when the number of unsold products is more than initially envisioned. The discount pricing results both in an increase of the revenue of the day and in a decrease of the disposal cost. The discounting, however, also declines a reference price of consumers which is a mental price and serves as an anchor price to judge if a current sales price is loss or gain for the consumers. An excess discounting decreases the demand for the products sold at a regular price in the future and diminishes long-term profit. This study conducts a mathematical analysis on the clearance pricing problem for a single period with stochastic variations both on demand and on the inventory level at clearance time. The expected profit function especially depends on the response of consumers to the clearing price against their reference prices. A procedure is proposed to derive an optimal clearance price when consumers are loss-neutral. A sufficient condition is shown to obtain an optimal price for loss-averse and loss-seeking consumers by an analogous procedure.

Dynamic Clearance Pricing Policy for Durable Goods (생산 중단되는 내구재의 재고정리를 위한 가격정책)

  • Lee, Kyung-Keun;Kim, Young-Seok
    • Journal of Korean Institute of Industrial Engineers
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    • v.26 no.1
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    • pp.66-72
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    • 2000
  • Inventory management of a product not to be produced any more has a great impact on the financial status of a company. Clearance pricing can make bigger sales volume together with great savings of inventory holding cost specially for a durable goods with relatively large inventory carrying cost and accordingly cash inflow can be improved. This paper deals with the inventory management by non-linear clearance pricing with the sales rate which depends on the accumulated sales volume and selling price.

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A Study on Multi-Period Inventory Clearance Pricing in Consideration of Consumer's Reference Price Effect

  • Koide, Takeshi;Sandoh, Hiroaki
    • Industrial Engineering and Management Systems
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    • v.12 no.2
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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.

Improvement of the Parallel Importation Logistics Process Using Big Data

  • Park, Doo-Jin;Kim, Woo-Sun
    • Journal of information and communication convergence engineering
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    • v.17 no.4
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    • pp.267-273
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    • 2019
  • South Korea has allowed parallel importation since 1995. Parallel importation causes competition among importers in the logistics process allowing, consumers to purchase foreign brand products at low prices. Most parallel importers base product pricing on subjective judgements. Fashion products in particular, have different sales rates depending on trends and seasons, so sales performance varies greatly depending on selling price timing and policy. The merchandiser (MD) set the price on parallel importation products by aggregating information on imported products and pricing goods. However, this customized process is very time consuming for the MD. This is because the logistics process of parallel importation's customs clearance procedures and repair works is complicated and takes a significant amount of time. In this paper, we propose an improved parallel importation logistics process based on big data, which automatically sets the price of parallel importation products.