• Journal of Acupuncture Research
• /
• v.20 no.5
• /
• pp.82-92
• /
• 2003

Objective: To appreciate the effect of San-Yin-Jiao(SP-6) pressure on duratof delivery time and quantity of blood loss in order to verify the possibility of application to clinic of San-Yin-Jiao pressure. Methods: The design of this study is nonequivalent control group non- synchronized design. The subjects are 39 persons who are made up of SP-6 pressure applied(experimental) group 20 persons and to control group 19 persons. Collected data were analyzed as frequency, percentage, t-test, $x^2-test$ using SPSS 10.0 WIN Program. Conclusions: San-Yin-Jiao(SP-6) pressure not only make short duration of delivery time, but also decline quantity of blood loss in effect. 1. It could be necessary that the study of the effects of San-Yin-Jio(SP-6) pressure on duration of delivery time and quantity of blood loss for primipara be done repeatedly. 2. It could be necessary to increase this sort of study through free random experimental design in order to generalize this experimental result.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
• /
• 2002.05a
• /
• pp.349-357
• /
• 2002

This research is basically deals with an inventory distribution system with several regional sales branches. Under the continuous review policy, each sales branch places an order to its supplier whenever on hand plus on order inventory falls on the order point, and the order quantity is received after elapsing a certain lead time. This research first shows the method how to apply the product with low lever of demand into the continuous review policy. For the application, we use an order level as the maximum level of inventory during an order cycle. Also we analyze the lost sales case as a customer behavior. Further we use variable demands and variable lead times for more realistic situation. Based on the above circumstances, the research mainly discusses those methods to decide the optimal order level, order point, and order quantity for each sales branch which guarantees the system wide goal level of service, while keeping the minimum level of the system wide total inventory.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.25 no.3
• /
• pp.78-84
• /
• 2002

This research is basically deals with an inventory distribution system with several regional sides branches. Under the continuous review policy, each sales branch places an order to its supplier whenever on hand plus on order inventory falls on the order point, and the order quantity is received after elapsing a certain lead time. This research first shows the method how to apply the product with low lever of demand into the continuous review policy. For the application, we use an order level as the maximum level of inventory during an order cycle. Also we analyze the lost sales case as a customer behavior. Further we use variable demands and variable lead times for more realistic situation. Based on the above circumstances, the research mainly discusses those methods to decide the optimal order level, order point, and order quantity for each sales branch which guarantees the system wide goal level of service, while keeping the minimum level of the system wide total inventory.

• Industrial Engineering and Management Systems
• /
• v.6 no.2
• /
• pp.136-145
• /
• 2007

The selection of suppliers and the determination of order quantities to be placed with those suppliers are important decisions in a supply chain. In this research, a non-linear mixed integer programming model is presented to select suppliers and determine the order quantities. The model considers the purchasing cost which takes into account quantity discount, the cost of transportation, the fixed cost for establishing suppliers, the cost for holding inventory, and the cost of receiving poor quality parts. The capacity constraints for suppliers, quality and lead-time requirements for the parts are also taken into account in the model. Since the purchasing cost, which is a decreasing step function of order quantities, introduces discontinuities to the non-linear objective function, it is not easy to employ traditional optimization methods. Thus, a heuristic algorithm, called particle swarm optimization (PSO), is used to find the (near) optimal solution. However, PSO usually generates initial solutions randomly. To improve the PSO solution quality, a heuristic procedure is proposed to find an initial solution based on the average unit cost including transportation, purchasing, inventory, and poor quality part cost. The results show that PSO with the proposed initial solution heuristic provides better solutions than those with PSO algorithm only.

• Journal of Korean Society of Transportation
• /
• v.28 no.5
• /
• pp.91-106
• /
• 2010

Recently, interest in supply chain management is rising along with the increasing oil prices and traffic congestion. In particular, people started studying the issue, but realized that advantageous strategies for suppliers and retailers are not always advantageous to a carrier. Therefore, in this study the atuhors set up a simulation scenario to understand delivery vehicle routing problems under various inventory policies, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) and network configurations. First, the authors made a virtual supply chain. Then they analyzed characteristics of delivery vehicle routing under various inventory policies (EOQ and POQ) and network configurations. As a result, the POQ inventory policy decreases the number of vehicles, the number of drivers, and the service time of vehicles. Also, the centralized network increases the load factor of vehicles and decreases the service time of vehicles. In other words, the centralized network and the POQ inventory policy are better for the carrier. These results show a savings of 15,556,806 won ($13,389.10) in a month: a reduction of 17%.

• Korean Journal of Construction Engineering and Management
• /
• v.12 no.1
• /
• pp.33-42
• /
• 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.

• Journal of Korean Institute of Industrial Engineers
• /
• v.19 no.1
• /
• pp.73-77
• /
• 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.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.17 no.2
• /
• pp.3-14
• /
• 1992

The efficiency of marketing channel of distribution between a manufacturer with several customers can be increase by influencing the order quantity of customer. Manufacturer reduces average inventory holding cost by penalizing the large order quantity from the customer. Such a penalty is significant only if the manufacturer's unit inventory holding cost is relatively large. Conditions under which such penalizing can be beneficial to both parties are derived.

• Journal of Korean Institute of Industrial Engineers
• /
• v.13 no.2
• /
• pp.1-8
• /
• 1987

In this paper, a deterministic EOQ model with interest rate in which a proportion (${\beta}$) of the demand is backlogged and the rest (1-${\beta}$) is lost. The optimal order quantity is derived and the corresponding average cost is obtained, Sensitivity analysis is performed to sec the influence of interest rate on the optimal order quantity and the average cost. Finally a numerical example is given in which optimum quantities of the model developed in this study and those of the conventional EOQ model are compared.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2014.11a
• /
• pp.96-97
• /
• 2014

Green Frame is a column-beam structure built by steel frame joints embedded in the columns and beams. Here, the steel frame embedded in the columns and beams is not a standardized product, instead it needs to be order-produced. The quantity for each steel frame size should be calculated to estimate the quantity of steel frames to be manufactured. However, it is highly time-consuming and requires a lot of effort in calculating the quantity of steel frames, for there are a wide range of steel frame types that are embedded in the columns and beams. To solve this problem, the study proposes an algorithm for calculation of the amount of steel frames with ease and promptness. When a program is developed using the algorithm proposed in the study in connection to the information on precast concrete members prepared in the design phase, it is anticipated that the manpower required as well as the manufacturing time will be decreased.