• Title/Summary/Keyword: 경제적 주문량

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A Economic Order Quantity(EOQ) Determination Method considering Stock Yard Size (야적장 크기를 고려한 철근의 경제적 주문량(EOQ) 산정)

  • Lee, Jae-Myung;Yu, Jung-Ho;Kim, Chang-Duk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.549-552
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    • 2007
  • Inventory management is an important factor for cost saving in a construction project. stock yard of general public residence site is secured. but site of the downtown area is not. inventory management of site was performed an intuition and an experience. According to inventory management of site is necessary systematic and efficient. This study examine general idea stock and inventory management. and suggests a EOQ determination method considering stock yard size. and particularity of site.

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소매점에서의 적정 재고보충 관리방안

  • Eum, Young-Heum;Rim, Suk-Chul
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.224-232
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    • 2004
  • 소매점에서 판매를 최대화하여 이익을 극대화하기 위해서는 투자비용을 최소화하고 재고를 최소로 유지하며, 결품을 최소화해서 매출을 보호해야 한다. 수요의 동향이 다양화 됨으로써 예측이 점점 어려워지고, 재고를 최소화하고, 빠른 납기를 충족시키고, 판매 기회의 손실을 최소화 하기란 점점 어려워지고 있다. 또한 매출의 보호와 재고의 축소는 서로 상반되는 내용을 담고 있다. 전통 Industrial Engineering(IE)에서 경제적 주문량(EOQ)을 결정하여 재고 회전율을 높이고 발주 비용과 재고 비용을 최소화하는 연구는 많이 다루어져 왔다. 본 논문에서는 TOC의 쓰루풋 증대의 관점에서 최적의 재고 보충 관리 방안을 제시하고자 한다.

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An Economic Order Quantity Model under Random Life Cycle (불확실한 수명주기의 제품에서의 경제적 주문량 모형)

  • Yun, Won-Young;Moon, Il-Kyeong
    • Journal of Korean Institute of Industrial Engineers
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    • v.19 no.1
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    • pp.73-77
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    • 1993
  • This paper considers an Economic Order Quantity Model under random life cycle. It is assumed that the life cycle of the product is unknown; a random variable. Three cost parameters are considered; ordering cost, inventory carrying cost and salvage cost. Expected total cost is the optimization criterion. We show that the optimal cycle length is unique and finite, and present a simple line search method to find an optimal cycle length.

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A Study on EOQ models for Perishable Inventory (부패성 재고의 경제적 주문량에 관한 연구)

  • 어윤양
    • The Journal of Fisheries Business Administration
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    • v.25 no.2
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    • pp.103-114
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    • 1994
  • We consider the continous, deterministic, infinite horiton, perishable item inventory, within the setting of a retail sector, in which the price for an item is dependent on the lifetime of inventory. Replenishment cost is kept constant but the carrying cost per units is allowed to vary according to product lifetime. Tro possibilities of variation are considered : (1) Product lifetime is longer than cycletime and (2) Product lifetime is shorter than cycletime. We find the optimal policies and decision rules for perishable product.

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A Deterministic Inventory Model with an Inventory-Level-Dependent Demand Rate under Day-terms Supplier Credit in a Supply Chain (신용거래가 허용되는 공급체인에서 재고종속형 제품 수요를 고려한 확정적 재고모형)

  • Shinn, Seong-Whan
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.113-119
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    • 2009
  • 본 연구는 공급자(supplier), 중간분배자(retailer/distributor) 그리고 고객(customer)으로 구성된 2 단계 공급사슬을 대상으로 공급자가 수요 증대를 목적으로 중간분배자에게 일정기간 동안 제품대금에 대한 지불 연기를 허용한다는 가정 하에 중간분배자의 최적 재고정책 결정을 위한 재고 모형을 다루었다. 소비성 상품의 경우, 고객의 수요는 일반적으로 상품 진열대에 진열되어있는 상품의 재고량에 많은 영향을 받는 것으로 알려져 있다. 따라서 본 연구에서는 이와 같은 상황을 고려하여 고객의 수요가 중간분배자의 재고량에 영향을 받는다는 가정 하에 재고 모형을 설계하였고, 모형 분석을 통하여 이익을 최대화하는 경제적 주문량 결정 방법을 제시하였다. 또한 예제를 통하여 제시된 해법을 적용하고, 그 타당성을 보였다.

Sensitivity analysis of RPLS inventory model with price dependent demand linearly under order-size-dependent delay in payments in a two-stage supply chain (주문량에 따라 종속적으로 외상거래기간이 허용되는 상황 하에 선형수요함수를 고려한 RPLS 재고모형의 퇴화율에 따른 민감도분석)

  • Shinn, Seong-Whan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.577-582
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    • 2022
  • Credit transactions are used as a means of price discrimination from competitors in order for suppliers to increase customer demand. In particular, in the case of a two-stage supply chain consisting of a supplier, a retailer, and a customer, the deferral of payment for goods allowed by the supplier is a means of reducing the inventory investment cost of the retailer. Retailers have the opportunity to discount the selling price while anticipating an increase in end-customer demand through the reduction of the inventory investment cost. In view of the fact that such trade credit is provided for the purpose of increasing demand as a means of discrimination from competitors, it may be more general that the credit transaction period is allowed flexibly according to the transaction volume. In particular, in the case of deteriorating products, the credit transaction period given according to the order volume is a factor that increases the order volume of the retailer, but product deterioration can be a limiting factor in the increase in the order volume. The deterioration rate actually plays an important role in determining the inventory policy of the retailer. Therefore, in this paper, the effect of such deterioration rate on the inventory policy of retailer is analyzed.

Sensitivity analysis on the length of credit period for an inventory model with stock dependent consumption rate (재고 종속형 수요를 고려한 재고모형의 신용 거래 기간에 따른 민감도 분석)

  • Shinn, Seong-Whan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.655-660
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    • 2022
  • This paper analyzes the problem of the economic order quantity (lot size) of a retailer in a two-stage supply chain consisting of a supplier, a retailer(distributor), and a customer. In this two-stage supply chain, the supplier permits the retailer to defer payment for a certain fixed period of time for the purchase cost to be paid by the retailer as a price differentiation strategy with his competitor. In addition, in the case of customer goods such as food and grain, it is common to see that end-customer demand is generally depend on the level of inventory displayed by the retailer. From this perspective, this paper analyzes the inventory problem of retailers under the assumption that the supplier may allow a certain period to suspend payments for the purchase of goods and the end customer demand is a function of the retailer's inventory level increasing with size. In this regard, we need to analyze how much the length of the grace period for product purchase costs affect the retailer's lot-sizing policy. Therefore, we formulate the retailer's annual net profit and analyze the effect of the length of credit period on the retailer's inventory policy numerically.

Economic Order Quantity(EOQ) Determination Process for Construction Material considering Demand Variation and Stockyard Availability (일일 수요량 변동성과 가용야적면적을 고려한 건설 자재의 경제적주문량(EOQ) 산정 프로세스)

  • Yun, Jung-Sook;Yu, Jung-Ho;Kim, Chang-Duck
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.1
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    • pp.33-42
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    • 2011
  • Part of material and inventory management is one of important factor for business interests. But importance of material and inventory management in domestic construction project has been relatively devalued. The existing study of inventory has been studied with limited individual factor about inventory management. Therefore construction material management needs improvement via an accurate prediction with whole and systematic process viewpoint. and existing theory of material and inventory introduction to construction from manufacturing needs reflecting characteristics about construction project. This paper suggests material management process for economic material management. This paper to make a unit curtain wall of case construction project comparison between total cost of existing material management process and total cost of economic order quantity of proposal material management process To verify usefulness of order point and order quantity determination process.

Distributor's reliable inventory model for deteriorating product when the supplier offers an uncharged addition in a supply chain (묶음판매가 허용되는 공급사슬에서 퇴화성 제품을 취급하는 중간분배자의 신뢰성있는 재고모형)

  • Shin, Seong-Whan;Lee, Deok-Soo
    • Journal of the Korea Safety Management & Science
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    • v.10 no.1
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    • pp.167-174
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    • 2008
  • 본 연구는 공급자, 중간분배자 그리고 고객으로 구성된 2 단계 공급사슬에서 시간에 따라 일정률로 퇴화하는 퇴화성 제품을 취급하는 중간분배자의 경제적 재고모형을 분석하였다. 문제 분석을 위하여 공급자는 고객으로부터의 수요를 증대시키기 위한 수단으로 일정한 묶음 단위별로 일정한 양의 덤을 제공한다는 가정 하에 재고모형을 설계하였고, 모형 분석을 통하여 이익을 최대화하는 경제적 주문량 결정 방법을 제시하였다. 또한 예제를 통하여 제시된 해법을 적용하고, 그 타당성을 보였다.

Classification Algorithm-based Prediction Performance of Order Imbalance Information on Short-Term Stock Price (분류 알고리즘 기반 주문 불균형 정보의 단기 주가 예측 성과)

  • Kim, S.W.
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.157-177
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    • 2022
  • Investors are trading stocks by keeping a close watch on the order information submitted by domestic and foreign investors in real time through Limit Order Book information, so-called price current provided by securities firms. Will order information released in the Limit Order Book be useful in stock price prediction? This study analyzes whether it is significant as a predictor of future stock price up or down when order imbalances appear as investors' buying and selling orders are concentrated to one side during intra-day trading time. Using classification algorithms, this study improved the prediction accuracy of the order imbalance information on the short-term price up and down trend, that is the closing price up and down of the day. Day trading strategies are proposed using the predicted price trends of the classification algorithms and the trading performances are analyzed through empirical analysis. The 5-minute KOSPI200 Index Futures data were analyzed for 4,564 days from January 19, 2004 to June 30, 2022. The results of the empirical analysis are as follows. First, order imbalance information has a significant impact on the current stock prices. Second, the order imbalance information observed in the early morning has a significant forecasting power on the price trends from the early morning to the market closing time. Third, the Support Vector Machines algorithm showed the highest prediction accuracy on the day's closing price trends using the order imbalance information at 54.1%. Fourth, the order imbalance information measured at an early time of day had higher prediction accuracy than the order imbalance information measured at a later time of day. Fifth, the trading performances of the day trading strategies using the prediction results of the classification algorithms on the price up and down trends were higher than that of the benchmark trading strategy. Sixth, except for the K-Nearest Neighbor algorithm, all investment performances using the classification algorithms showed average higher total profits than that of the benchmark strategy. Seventh, the trading performances using the predictive results of the Logical Regression, Random Forest, Support Vector Machines, and XGBoost algorithms showed higher results than the benchmark strategy in the Sharpe Ratio, which evaluates both profitability and risk. This study has an academic difference from existing studies in that it documented the economic value of the total buy & sell order volume information among the Limit Order Book information. The empirical results of this study are also valuable to the market participants from a trading perspective. In future studies, it is necessary to improve the performance of the trading strategy using more accurate price prediction results by expanding to deep learning models which are actively being studied for predicting stock prices recently.