• Title/Summary/Keyword: 다단계 분배 시스템

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A Study on the (Q, r) Inventory Model under the Lead Time Uncertainty and its Application to the Multi-level Distribution System (주문 인도기간이 불확실한 상황에서의 (Q, r) 재고 부형과 다단계 분배 시스템의 응용에 관한 연구)

  • 강석호;박광태
    • Journal of the Korean Operations Research and Management Science Society
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    • v.11 no.1
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    • pp.44-50
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    • 1986
  • In this paper, we find optimal policy for the (Q, r) inventory model under the lead time uncertainty. The (Q, r) inventory model is such that the fixed order quantity Q is placed whenever the level of on hand stock reaches the reorder point r. We first develop the single level inventory model as the basis for the analysis multi-level distribution systems. The functional problem is to determine when and how much to order in order to minimize the expected total cost per unit time, which includes the set up, inventory holding and inventory shortage cost. The model, then, is extended to the multi-level distribution system consisting of the factory, warehouses and retailers. In this case, we also find an optimal policy which minimizes the total cost of the contralized multi-level distribution system.

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A Dynamic Inventory Scheduling Method in Multi-Echelon Distribution Systems (다단계분배시스템에서의 동적 발주계획 수립방안)

  • Yoo, Yeong-Joon;Rhee, Jong-Tae
    • IE interfaces
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    • v.11 no.2
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    • pp.13-24
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    • 1998
  • A distribution system is composed of multiple levels from a producer to customers, and it's objective is to supply customers with goods timely with a prescribed level of quality at a minimum cost. For the installation and operation of multi-echelon distribution system, DRP(Distribution Resource Planning) is widely used. However, because of the characteristic difference of material flow dynamic of each distribution center, it is almost impossible to get the optimal distribution scheduling. In this paper, an improved DRP method to schedule multi-echelon distribution network is proposed so that the lot-size and order point is dynamically obtained to meet the change of demand rate and timing. The experiment is done with various demand pattern, forecast errors of demand and lead times of central distribution center. The proposed method is compared with traditional statistical approach.

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A Study on the Support System of Large Caverns Under High Initial Stress (과지압 하에 있는 대규모 지하공동의 지보 시스템에 관한 연구)

  • 박연준;유광호;최영태;김재용
    • Tunnel and Underground Space
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    • v.14 no.2
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    • pp.154-166
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    • 2004
  • A numerical stability analysis was conducted on the large oil storage caverns excavated in a rock mass under high initial horizonal stress. The behaviors of the surrounding rock mass, rockbolts, and shotcrete were analyzedr and stability of the support members were assessed. For a proper support system design, the effect of the modelling technique, cavern shape and rockbolt length on the stability of the cavern was investigated. Results show that installation timing of supports and the change in cavern shape due to stepwise excavation affect the stress induced in support members. Also found was desperate need for a numerical technique which can properly reflect the behavior of the steel fiber reinforced shotcrete.

A Multilevel Key Distribution using Pseudo - random Permutations (의사 랜덤치환을 이용한 다중레벨 키분배)

  • Kim, Ju-Seog;Shin, Weon;Lee, Kyung-Hyune
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.10
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    • pp.2493-2500
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    • 1997
  • We propose a new key management scheme for multiuser group which is classified as hierarchical structure (sometimes it is called a multilevel security hierarchy) in the symmetric key cryptosystem. The proposed scheme is based on the trapdoor one-way permutations which are generated by the pseudo-random permutation algorithm, and it is avaliable for multilevel hierarchical structure composed of a totally ordered set and a partially ordered set, since it has advantage for time and storage from an implemental point of view. Moreover, we obtain a performance analysis by comparing with the other scheme, and show that the proposed scheme is very efficient for computing time of key generation and memory size of key storage.

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