• Title/Summary/Keyword: inventory management system

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재고보충주기의 조정을 통한 다단계 재고시스템의 경제성 평가 (Estimation of Economical Efficiency in Multi-Echelon Inventory System through Coordination of Inventory Replenishment Period)

  • 김명훈;김병곤
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2007년도 춘계학술대회
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    • pp.198-208
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    • 2007
  • Recently business enterprises have forced to face in fierce competition in today's global markets due to the short life cycles of products and the higher expectation of customers. Together with continuing advances in communications and transportation technologies, these environments have motivated the continuous evolution of the supply chain and the management techniques. This paper consider three-echelon inventory system which consist of one manufacturer, one distributor and N retailers for a single product under assumption of constant demand. This paper propose the inventory replenishment period using heuristic method and order policy through coordination of inventory replenishment period. The simulation results show that decrease the total cost of the three-echelon inventory system.

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벽지업체를 위한 POS 시스템 설계 및 활용 방안 (Design and Applications of the POS System for Wallpaper Companies)

  • 박병권;김태현
    • 한국전자거래학회지
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    • 제6권3호
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    • pp.1-16
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    • 2001
  • In this paper, we introduced a POS(Point of Sale) system for a wallpaper company. We designed the database schema for the POS system, and proposed various application areas of the POS system. Especially, we discussed such application areas as inventory control, marketing, product development, and distribution channel. The quality of product management is enhanced by precise ABC inventory control and safety stock control. Marketing strategies can be more precisely established, and their effects can be measured. The development time can be shortened and new products can be developed based on the real market demands. Distributors can improve their management quality using precise sales data.

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기억 세포를 이용한 재고-차량 경로 문제의 인공면역시스템 (An Artificial Immune system using Memory Cell for the Inventory Routing Problem)

  • 양병학
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2008년도 추계학술대회 및 정기총회
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    • pp.236-246
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    • 2008
  • We consider the Inventory Routing problem(IRP) for the vending machine operating system. An artificial immune system(AIS) is introduced to solve the IRP. The IPR is an rolling wave planning. The previous solution of IRP is one of good initial solution of current IRP. We introduce an Artificial Immune system with memory cell (AISM) which store previous solution in memory cell and use an initial solution for current problem. Experiment results shows that AISM reduced calculations time in relatively less demand uncertainty.

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확률적 예산 제약을 고려한 주기적 재고관리 정책에 대한 연구 (A Study on Periodic Review Inventory System under Stochastic Budget Constraint)

  • 이창용;이동주
    • 산업경영시스템학회지
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    • 제37권1호
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    • pp.165-171
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    • 2014
  • We develop an optimization algorithm for a periodic review inventory system under a stochastic budget constraint. While most conventional studies on the periodic review inventory system consider a simple budget limit in terms of the inventory investment being less than a fixed budget, this study adopts more realistic assumption in that purchasing costs are paid at the time an order is arrived. Therefore, probability is employed to express the budget constraint. That is, the probability of total inventory investment to be less than budget must be greater than a certain value assuming that purchasing costs are paid at the time an order is arrived. We express the budget constraint in terms of the Lagrange multiplier and suggest a numerical method to obtain optional values of the cycle time and the safety factor to the system. We also perform the sensitivity analysis in order to investigate the dependence of important quantities on the budget constraint. We find that, as the amount of budget increases, the cycle time and the average inventory level increase, whereas the Lagrange multiplier decreases. In addition, as budget increases, the safety factor increases and reaches to a certain level. In particular, we derive the condition for the maximum safety factor.

시뮬레이션을 활용한 공급사슬 내 재고관리 방법 비교 연구 (Comparison Study on the Inventory Management in SCM using Simulation)

  • 이재홍;구승환;노승민;장성용
    • 한국시뮬레이션학회논문지
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    • 제24권1호
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    • pp.1-8
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    • 2015
  • 본 연구는 다양한 공급망 내 재고관리 방법 중 최적의 방법을 찾아내는 것을 목적으로 하고 있다. 비교대상 재고관리 방법은 Min-Max, 정기, 정량, 목표재고관리 방법으로 각 제품별 리드타임과 수요를 달리하여 구성하였다. 또한 공급사슬 망의 단계가 2단계인 경우와 3단계인 경우를 구분하여 공금망 단계를 줄였을 경우의 결과를 분석한다. 시뮬레이션 모형은 8개의 시나리오로 나뉘며, 각 시나리오는 주문방식과 단계로 구분할 수 있다. 시뮬레이션을 위한 입력 자료는 기존의 선행연구 결과와 실제데이터를 토대로 하였다. 시뮬레이션의 평가는 매출액, 총판매건수, 총배송비, 총결품량, 결품횟수, 결품손실금, 평균 재고량, 재고관리비, 순이익으로 실시한다. 시뮬레이션 결과 목표재고관리 방법이 가장 우수하게 나타났으며, 목표재고관리 시스템은 기존의 재고관리 방법을 사용한 시나리오보다 순이익 및 재고 등의 측면에서 우수한 결과를 나타냈다. 또한 기존의 공급사슬에서 한 단계 공급망을 줄였을 경우 수익이 증가하는 것을 확인할 수 있었다. 본 연구 결과는 목표재고관리 시스템을 추가적으로 고려하고 있다는 것과 공급사슬의 단계를 줄일 수 있는 개선 방안을 논의했다는 것에 의의를 둘 수 있다.

데이터 관리에서 발주 관리까지 기능을 포함하는 부품 관리 시스템의 설계와 개발 (A Design and Development of Part Management System including Capabilities from Data Management to Order Management)

  • 이영
    • 산업경영시스템학회지
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    • 제35권1호
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    • pp.47-56
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    • 2012
  • Service Parts Management is defined as a supply management associated with service parts from the part suppliers to the final customer. A series of process to improve the customer service level by forecasting the demand and to minimize cost by maintaining the inventory level is included. Uniqueness such as missing value correction, the data pattern analysis and planned order system is designed and implemented. Main feature of order management system is to calculate order amount and order time based on selection of optimal forecasting algorithm.

인공신경망을 이용한 공급 사슬 상에서의 재고관리

  • 정성원;서용원;박찬권;박진우
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2002년도 추계학술대회 논문집
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    • pp.101-105
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    • 2002
  • In a traditional hierarchical inventory system, direct orders are the only information for inventory management that is exchanged between the firms involved. But due to the rapid development of modern information technology, it becomes possible for the firms to share more information in real time, e.g. demand and inventory status data. And so the term Supply Chain has emerged because it is seen as an important source of competitive advantage. Now it is possible to challenge traditional approaches to inventory management. In the past, one of the de-facto assumptions for inventory management was that the demand pattern follows a specific distribution function. However, it is undesirable to apply this assumption in real situations because the demand information in the supply chain tends to be distorted due to the bullwhip effect in a supply chain. To overcome this weakness, we propose a new solution method using NN (Neural Network). Our method proceeds in three steps. First, we find the patterns of optimal reorder points by analyzing past data. Second. train the NN using these pattern data and finally decide the reorder point. Using simulation experiment, we show that the proposed solution method gives better result than that of traditional research.

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지능형 피난유도선 시스템에 대한 연구 (A Study on Intellgence Emergency Guide Line System)

  • 박용규;김석은;강경식
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2010년도 춘계학술대회
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    • pp.107-116
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    • 2010
  • Government and company are unfolding greenhouse gas reduction activity to prevent the effects of global warming. Also, verification business through greenhouse gas inventory construction is spreaded variously. Greenhouse gas verification proceeds by document examination, risk analysis, field survey. Document investigates emission information, calculation standard, emission report, data management system. And through risk assessment result, establish field verification plan. Through study on risk assessment of greenhouse gas inventory verification, wish to reduce risk of verification.

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이중 재고한계점에 반응하는 고객이탈행위를 고려한 강건한 뉴스벤더 모델 (Robust Newsvendor Model with Customer Balking by the Bi-levels of Inventory Threshold)

  • 정욱;이세원
    • 산업경영시스템학회지
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    • 제36권1호
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    • pp.36-43
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    • 2013
  • Many retailer store managers are experiencing the situation where some customers balk at purchasing products if the stock is low. In this paper, we extend the single period newsvendor model in an environment of customer balking behavior occurring at double threshold inventory levels assuming the chance of sales during balking is a discrete function of inventory level. Our analysis is based on the assumption that only the mean and the variance of demand are known, without assuming any specific distributional form. We derive the explicit general expression of optimal order quantity with unknown distribution of demand with double threshold inventory levels of customer balking. Then, we illustrate the concepts developed here through simple numerical examples and conclude the future research topics under balking situation.

RF간반시스템 : RF간반을 통한 재고보충시스템 (RF-Kanban System : Inventory-Replenishment System with RF-Kanban)

  • 백시현
    • 산업경영시스템학회지
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    • 제32권1호
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    • pp.1-10
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    • 2009
  • Inventory Management has become a very important issue in supply chain management, because inventories may be used as a means to accomplish the certain strategic goals in company decisions. RFID(radio frequency identification) technology is used to help manage inventories. It is known that the ideal control of inventories is to replenish item by item. This paper points out several misinterpretations from the Wal-mart report presented in '07 Seoul Forum and suggests the new direction of RFID application. In this paper we consider RFID as not 'identification technology' but 'information technology.' The 'RF-Kanban' suggested here is adopted from the'Kanban'concept of TPS(Toyota Production System). The RF-Kanban system shows the easier control for replenishing various items in boxes. Lots of inventories can be reduced through RF-Kanban System. This work develops the protocol of RF-Kanban and introduces the case study for easier understanding.