• 산업경영시스템학회지
• /
• 제39권3호
• /
• pp.170-179
• /
• 2016

In this paper we have tackled the outstanding inventory planning problems over new product launching period in a more holistic manner by addressing first the definition of efficient business rules to effectively control and reduce the inventory risks followed by the rigorous explanations on the implementation guide on suggested inventory planning rules. It is not unusual for many companies in the consumer electronics market to make a great effort to reduce the time to launch a new product because the ability to bring out higher performing products in such a short time period greatly increases the probability for them to remain competitive in the high tech market. Among so many newly developed products, those products with new features and technologies appeal to many potential customers while products which fail to win customers by design and prices rapidly disappear in the market. To adapt to this business environment, those companies have been trying to find the answer to minimize the inventory of old products so they can move to next generation products quickly with less obsolete material. In the experimental implementation of our rule-based inventory planning, Company 'S' reduced the inventory cost for the outgoing products as low as 49% of its peak level of its preceding product version in just 5 month after the adoption of rule-based inventory planning process and system. This paper concluded the subject with a suggestion that the best performance of rule-based inventory planning is guaranteed not from one-time campaign of process improvement along with system development but the decision maker's continuing support and attention even without seeing any upcoming business crisis.

• 한국국방경영분석학회지
• /
• 제23권2호
• /
• pp.135-154
• /
• 1997

This paper deals with the perishable inventory models with uncertainties of demand functions. The traditional perishable inventory costs of holding and stockout are incorporated into the cost function. The average expected cost will be minimized to find the optimal quantile estimator. After three candidate estimators are proposed on the basis of order statistics, they will be evaluated by the simulation results and statistical analysis. Then the transition procedure algorithm using this estimator will be proposed to make the optimal decision under uncertainty.

• Management Science and Financial Engineering
• /
• 제18권1호
• /
• pp.21-26
• /
• 2012

Two previous studies that attempted to generalize the deterministic joint pricing-inventory decision model are reevaluated. We prove analytically that even in a single-product environment, the EOQ model with constant priceelastic demand cannot find optimal solutions unless two optimality conditions associated with price elasticity and demand magnitude are satisfied. Due to the inexistence of the general optimality for the problem, demand function and price elasticity must be evaluated and bounded properly to use the methods proposed in the previous studies.

• 대한산업공학회지
• /
• 제4권1호
• /
• pp.49-55
• /
• 1978

This paper presents a new method, called a modified economic order quantity method, for determining the optimal inventory policy, which uses the rate of return as its decision criterion. Especially for the simplest possible inventory system with constant demand rate, no backlogging, no lead time, etc., the formula for the optimal order policy is derived. Also mentioned are the relative merits and shortcomings of this method compared to the conventional EOQ model.

• 한국건설관리학회:학술대회논문집
• /
• 한국건설관리학회 2006년도 정기학술발표대회 논문집
• /
• pp.702-707
• /
• 2006

건설자재의 경우 물량 확보 차원과 소량 반입의 어려움, 공정 지연 등의 이유로 인하여 현장에 상당량의 재고를 보유하여 왔다. 특히 철근의 경우 변동요인이 많아 일반적으로 1개월 이상의 여유 재고를 보유하여 왔다. 하지만 이렇게 재고의 규모가 필요이상으로 과도할 경우 재고유지비용이 증가하게 되고 자재적치에 많은 공간이 소요되어 현장 내 이동에 불편을 겪을 수도 있으며 생산성이 저하 되어 낭비요인으로 작용하게 된다. 반면에 재고량이 부족할 경우에는 예상치 못했던 수요가 발생하거나 자재수급에 어려움이 생기는 경우 대응하기가 어려우며 자재부족에 따라 작업수행에 지연을 가져오게 되어 추가비용을 발생시킨다. 본 연구는 건설현장의 여러 가지 자재 중에서 구성 비율이 가장 높고 지속적인 수요에 의해 작업이 이루어지는 철근자재를 대상으로 재고관리 현황을 살펴보고 적정 재고관리 방안을 제시하였다. 먼저 일반적인 재고의 개념 및 재고관리 시스템에 대하여 살펴보고 철근 가공 ${\cdot}$ 조립과정의 적용성 여부를 판단하였다. 이후 자재의 리드타임 변이와 리드타임 동안의 자재의 수요율 변이를 고려하여 자재의 재주문 시점을 언제로 할 것인지를 결정하고 주문비용 및 재고유지비용, 자재 수요량을 고려하여 주문량을 얼마로 할 것인지를 결정하는 방법을 제시하였다.

• 한국항해항만학회지
• /
• 제34권2호
• /
• pp.131-136
• /
• 2010

The aim of the paper is to solve the problem of customer reduction due to the difficulty of parts sourcing which impacts production delay and delivery delay in SC networks. Furthermore, this paper is to suggest the new inventory policy of MTS in order to solve the problem of current inventory policy. In order to compare two policies, a LCD maker is selected as a case study and the real data for 2007 years is used for simulation input. The maker uses MTO policy for parts sourcing which has the problem of lead time even if it has some advantage of inventory cost. Based on current process. The simulation program of AS-IS model and TO-BE model using ARENA 10 version is developed for evaluation. In a result, the order number of two policies shows that MTO is 52 and MTS is 53. However the quantity of order shows big difference such that MTO is 168,460 and MTS is 225,106. Particularly, the lead time of new inventory policy shows much shorter that that of MTO such that MTO 100 is days and MTS is 16 days. In spite of short lead time by MTS policy, new policy has to take burden of inventory cost per year. Total inventory cost per year by MTS policy is US$ 11,254 and each part inventory cost is that POL is US$ 1,807, LDI is US$ 2,166 and Panel is US$ 7,281. The implication of the research is that the company has to consider the cost and the service simultaneously in deciding the inventory policy. In the paper, even if the optimal point of deciding is put into tactical area, the ground of decision is suggested in order to improve the problem in SC networks.

• 한국경영과학회지
• /
• 제35권1호
• /
• pp.83-95
• /
• 2010

This paper considers a firm that operates make-to-stock and make-to-order facilities in successive stages. The make-to-stock facility produces components which are consumed by the external market demand as well as the internal make-to-order operation. The make-to-order facility processes customer orders with the option of acceptance or rejection. In this paper, we address the problem of coordinating how to allocate the capacity of the make-to-stock facility to internal and external demands and how to control incoming customer orders at the make-to-order facility so as to maximize the firm's profit subject to the system costs. To deal with this issue, we formulate the problem as a Markov decision process and characterize the structure of the optimal inventory allocation and customer order control. In a numerical experiment, we compare the performance of the optimal policy to the heuristic with static inventory allocation and admission control under different operating conditions of the system.

• Industrial Engineering and Management Systems
• /
• 제7권3호
• /
• pp.257-265
• /
• 2008

This paper deals with the joint decisions on pricing and ordering for a monopolistic retailer who sells perishable goods with a fixed lifetime or demand period. The newsvendor-typed problem is formulated as a two-period inventory system where the first period represents the inventory of fresh or new-arrival items and the second period represents the inventory of items that are older but still usable. Demand may be for either fresh items or for somewhat older items that exhibit physical decay or deterioration. The retailer is allowed to adjust the selling price of the deteriorated items in the second period, which stimulates demand and reduces excess season-end or stale inventory. This paper develops a stochastic dynamic programming model that solves the problem of preseason decisions on ordering-pricing and a within-season decision on markdown pricing. We also develop a fixed-price model as a benchmark against the dual-price dynamic model. To illustrate the effect of the dual-price policy on expected profit, we conduct a comparative study between the two models. Extension to a generalized multi-period model is also discussed.

• 산업경영시스템학회지
• /
• 제32권4호
• /
• pp.53-62
• /
• 2009

Lee[15] examined quantity discount contracts between a manufacturer and a retailer in a stochastic, two-period inventory model where quantity discounts are provided based on the previous order size. During the two periods, the retailer faces stochastic (truncated Poisson distributed) demands and he/she places orders to meet the demands. The manufacturer provides for the retailer a price discount for the second period order if its quantity exceeds the first period order quantity. In this paper we extend the above two-period model to a k-period one (where k < 2) and propose a stochastic nonlinear mixed binary integer program for it. In order to make the program tractable, the nonlinear term involving the sum of truncated Poisson cumulative probability function values over a certain range of demand is approximated by an i-interval piecewise linear function. With the value of i selected and fixed, the piecewise linear function is determined using an evolutionary algorithm where its fitness to the original nonlinear term is maximized. The resulting piecewise linear mixed binary integer program is then transformed to a mixed binary integer linear program. With the k-period model developed, we suggest a solution procedure of receding horizon control style to solve n-period (n < k) order decision problems. We implement Lee's two-period model and the proposed k-period model for the use in receding horizon control style to solve n-period order decision problems, and compare between the two models in terms of the pattern of order quantities and the total profits. Our computational study shows that the proposed model is superior to the two-period model with respect to the total profits, and that order quantities from the proposed model have higher fluctuations over periods.

• 한국지리정보학회지
• /
• 제17권4호
• /
• pp.179-188
• /
• 2014

최근 범지구적으로 증가하는 이상기후에 의해 SOC 시설물 안전이 지속해서 위협받고 있다. 재난대응을 위해서는 대피 경로 제시 등과 같은 신속한 의사결정이 필요하다. 이는 재난 재해 정보 및 SOC 시설물 정보가 융복합된 시공간적 정보가 활용되어야 한다. 이러한 정보는 정부 및 관계 기관에서 분산적으로 수집되고 있다. 따라서 수집된 정보는 통합적 관리가 이루어지지 않고 있다. 신속한 재난대응을 위해서는 분산 수집되고 있는 재난 재해 정보의 통합관리와 SOC 시설물에 대한 안전도와 피해도 등의 정보 생성이 필요하다. 이를 위해 관련 정보를 통합한 재해대응 의사결정 지원을 위한 인벤토리 구축이 필수적이다. 본 연구에서는 신속한 재난대응 의사결정 지원을 위한 인벤토리 관리 연계를 기반으로 인벤토리 통합 관리 시스템 구축 방안을 제시한다. 본 연구를 통해 분산 관리되고 있는 재난 재해 및 SOC 시설물 관련 자료를 수집하여 표준화하고, 수요자의 요구에 맞는 통합 정보를 제공할 수 있다. 향후 제안된 시스템을 통해 선제적 재난 대응을 위한 의사결정 도구로 활용할 수 있을 것으로 판단된다.