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      • KCI등재후보

        다부하를 운반하는 무인운반차시스템에서 운반거리의 분석

        장석화(Suk-Hwa Chang) 한국산업경영시스템학회 2005 한국산업경영시스템학회지 Vol.28 No.1

        This paper is to analyze the travel distance and the transport size of the vehicle when the AGV carries multiple-load in the tandem automated guided vehicle systems. The size of multiple-load represents the number of load that the AGV can carry simultaneously. The AGV can carry simultaneously multiple-load that load types are different. The transport system of the manufacturing system is a tandem configuration automated guided vehicle system, which is based on the partitioning of all the stations into several non-overlapping single closed loops. Each loop divided has only one vehicle traveling unidirectionally around it. The AGV of each loop has to have sufficient transport capacity that can carryall loads for given unit time. In this paper, the average loaded travel distance and the size of feasible multiple-load of the vehicle are analyzed. A numerical example is shown.

      • KCI등재

        이산형 동적 물류시스템에서 물류센터의 위치

        장석화(Chang Suk-Hwa) 한국산업경영시스템학회 2008 한국산업경영시스템학회지 Vol.31 No.2

          This paper addresses determining the location of the distribution centers in a discrete dynamic distribution system. In discrete and finite time horizon, the demands of retailers are dynamic for the periods. Some locations among the retailers can be chosen for the role of the distribution centers at the beginning of each period. The distribution centers have to be located at the location of minimizing logistics cost. Logistics cost factors are the operation cost and the fixed cost of distribution center, and the transportation cost. The distribution centers of minimizing sum of operation cost, fixed cost and transportation cost are determined among retailers in each period for the planning period. A mathematical model was formulated and a dynamic programming based algorithm was developed. A numerical example was shown to explain our problem.

      • KCI등재후보

        단일공급자 다수구매자 통합 생산재고모형에서 공급체인주기를 통한 조정

        장석화 ( Suk-hwa Chang ) 대한설비관리학회 2018 대한설비관리학회지 Vol.23 No.1

        This paper is to analyze the cycle of the manufacturer, the order cycles of the retailers and the order cycles of raw materials in a multi-stages supply chain with source of raw material, manufacturer and the retailers. The cycle of the manufacturer is the elapsed time between two successive beginnings of the production cycle. The decision making factors that minimizes the cost in a multi-stages supply chain are coordinated through supply chain cycles. Cost factors are the production setup cost and inventory holding cost of the manufacturer, the ordering cost and inventory holding cost of the retailers and the ordering cost and inventory holding cost of the raw material. A mathematical model is represented with the cycle of the manufacturer, the numbers of supply to retailers and order numbers for raw materials. The reference value for defining the search range of the cycle of the manufacturer is obtained through the costs of the manufacturer. A minimum cost solution method is suggested, and the solution results are compared with those of genetic algorithm through a numerical example.

      • KCI등재

        양쪽방향 회전 다랙 회전창고시스템에서 실현가능한 시스템을 위한 인출 배치크기

        장석화 ( Suk Hwa Chang ) 대한설비관리학회 2015 대한설비관리학회지 Vol.20 No.2

        This paper addresses the retrieval batch size which the bi -directional multi -rack carousel system can be feasible. Each rack of the carousel system turns clockwise or counterclockwise rotation. The items that customers order are retrieved from the bins of the carousel with batch size. The mathematical model is formulated to represent the rotary travel distance and the retrieval lead time for retrieval batch size in an bi -directional carousel system. The rotary travel distance is the distance which the carousel system rotates for retrieval of all items included in a batch. The retrieval lead time is the time interval from retrieval starting time to retrieval finishing time for retrieval of all items included in a batch. The retrieval batch size that the carousel system can be feasible is obtained. A numerical example is shown to explain the solution procedure. The rotary travel distance and retrieval lead time are obtained through simulation approach in a numerical example.

      • KCI등재

        단일방향 다랙 회전창고시스템에서 실현가능한 창고시스템을 위한 인출 배치크기

        장석화 ( Suk Hwa Chang ) 대한설비관리학회 2014 대한설비관리학회지 Vol.19 No.4

        This paper addresses the retrieval batch size which the uni-directional multi-racks carousel system can be feasible. The items that customers order are retrieved from the bins of the carousel with batch size. The mathematical model is formulated to represent the rotary travel distance and the retrieval lead time for retrieval batch size in an uni-directional carousel system. The rotary travel distance is the distance which the carousel system rotates for retrieval of all items included in a batch. The retrieval lead time is the time interval from retrieval starting time to retrieval finishing time for retrieval of all items included in a batch. The retrieval batch size that the carousel system can be feasible is obtained. A numerical example is shown to explain the solution procedure.

      • KCI등재

        단일 공급자 다수 구매자 다수 제품 공급체인모형에서 최소비용 공급자주기

        장석화 ( Suk-hwa Chang ) 대한설비관리학회 2020 대한설비관리학회지 Vol.25 No.1

        This paper is to get the cycle time of the vendor with minimum cost in an integrated production and inventory model of single-vendor multi-buyer multi-product supply chain. The vendor is the manufacturer of the product and the buyers are retailers. A manufacturer produces different kinds of products and supplies them to the retailers. The cycle time of the vendor is the elapsed time of two consecutive production start times. All product types have the same cycle time of the vendor. A mathematical model is represented with the cycle time of the vendor and the number of item supply from manufacturer to the retailers during the cycle time of the vendor in a supply chain. The cycle time of the vendor that minimizes the cost in a supply chain is obtained with the cost factors of the manufacturer. The number of item supply from the manufacturer to the retailer is obtained with the ordering cost and inventory holding cost of retailer and inventory holding cost of the manufacturer. A minimum cost solution method is suggested. A solution result is compared with the optimal solution and that of the genetic algorithm through a numerical example.

      • KCI등재

        단일 공급자 다수 구매자 공급체인모형에서 최소비용 공급자주기

        장석화 ( Suk-hwa Chang ) 대한설비관리학회 2017 대한설비관리학회지 Vol.22 No.1

        This paper is to get the cycle time of the vendor with minimum cost in an integrated production and inventory model of the single-vendor multi-buyers supply chain. The vendor is the manufacturer of the product and the buyers are retailers. The cycle time of the vendor is the elapsed time from the beginning time of the production to that of the next production. The mathematical model is represented with the cycle time of the vendor and the numbers of supply from manufacturer to the retailers during the cycle time of the vendor in a supply chain. The cost factors are the production setup cost and the inventory holding cost of the vendor, the ordering cost and the inventory holding cost of the retailers. The cycle time of the vendor that minimizes the cost in a supply chain is obtained with the cost of the manufacturer. The number of supply from manufacturer to the retailer is obtained with the ordering cost and inventory holding cost of retailer, and inventory holding cost of the manufacturer. The numerical examples are shown to analyze the cost difference between the vendor cost cycle method and the optimal solution. The effectiveness of the vendor cost cycle method is shown through the numerical examples.

      • KCI등재

        지정식 보관방식 창고시스템에서 보관위치 할당계획

        장석화(Suk-Hwa Chang) 한국산업경영시스템학회 2007 한국산업경영시스템학회지 Vol.30 No.1

          This paper addresses the allocation planning of the storage location in a warehouse system that the dedicated storage method is used. In the discrete finite time period model, the demands for storage location of products are dynamic for time periods. The planning is to determine the reallocation time period and the storage location of the products in reallocation time period, which minimizes costs. The cost factors are the reallocation cost, the travel cost within warehouse and the surplus storage location cost. A model is formulated, and the property of optimal solution is characterized. The dynamic programming algorithm is developed, and a numerical example is shown.

      • KCI등재

        영업용 물류센터 사용하에서 자가 물류센터의 크기 확장계획 모형

        장석화(Chang suk Hwa) 한국산업경영시스템학회 2010 한국산업경영시스템학회지 Vol.33 No.1

        This paper addresses capacity expansion planning model of distribution center under usability of public distribution center. For discrete and finite time periods, demands for distribution center increase dynamically. The capacity expansion planning is to determine the capacity expansion size of private distribution center and usage size of public distribution center for each period through the time periods. The capacity expansion of private distribution center or lease usage of public distribution center must be done to satisfy demand increase for distribution center. The costs are capacity expansion cost and excess capacity holding cost of private distribution center, lease usage cost of public distribution center. Capacity expansion planning of minimizing the total costs is mathematically modelled. The properties of optimal solution are characterized and a dynamic programming algorithm is developed. A numerical example is shown to explain the problem.

      • KCI등재후보

        다단선형 생산비용과 외주생산이 고려된 동적 생산계획모형

        장석화 ( Suk Hwa Chang ) 대한설비관리학회 2012 대한설비관리학회지 Vol.17 No.4

        This paper studies the dynamic production planning problem with the production and outsourcing when demand is dynamically changed through the given planning horizon. For a discrete and finite time periods, the production planning is to determine the production amount and outsourcing amount for each period to minimize the total cost. The production consists of normal production and excess production. The normal production amount is restricted, but the excess production and outsourcing amount are not restricted. The backlogging is not allowed. The cost factors are the production cost, the outsourcing cost and the inventory holding cost. The production cost is piecewise linear. The problem is analyzed and a mathematical model is formulated. The characteristics of the optimal solution are analyzed and a algorithm is developed. A numerical example is shown to explain the problem.

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