• Management Science and Financial Engineering
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• v.15 no.1
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• pp.33-49
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• 2009

We examine the effectiveness of the conventional (Q, r) model in managing production-inventory systems with finite capacity, stochastic demand, and stochastic order processing times. We show that, for systems with finite production capacity, order replenishment lead times are highly sensitive to loading and order quantity. Consequently, the choice of optimal order quantity and optimal reorder point can vary significantly from those obtained under the usual assumption of a load-independent lead time. More importantly, we show that for a given (Q, r) policy the conventional model can grossly under or over-estimate the actual cost of the policy. In cases where a setup time is associated with placing a production order, we show that the optimal (Q, r) policy derived from the conventional model can, in fact, be infeasible.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.99-112
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• 2006

In our model, we keep inventory to satisfy uncertain demands which arrives irregularly. In this situation, we have additional two constraints. First, we need to have certain amount of order consolidation (consolidation constraint) for the orders to replenish the inventory because of production or purchase amount constraint. And also, if we order at a certain date which was set by administrative convenience, we have capacity constraint to order the consolidated order demands (capacity constraint). We show this variant inventory policy is needed in steel industry and note that there will be possible similar case in industry. To deal with this case, we invent a variant replenishment policy and show this policy is superior to other possible polices in the consolidation constraint case by extensive simulation. And we derive a combined solution method for dealing with the capacity constraints in addition to the consolidation constraints. For this, we suggest a combined solution method of integer programming and simulation.

• IE interfaces
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• v.23 no.4
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• pp.327-336
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• 2010

We consider a supply chain consisting of a make-to-order manufacturer and N component suppliers and study the impacts of the number of suppliers on component inventory management. The manufacturer has full information and continuously observes the state of both component inventory level and customer backorders. Based on this information, the manufacturer determines whether or not to place a component purchasing order to a supplier among N suppliers even though some orders are in process by other suppliers. The goal of this paper is to numerically identify the manufacturer's purchasing policy which minimizes the total supply chain cost and the best choice of N. Our model contributes to the current literature in that the problem of simultaneously considering multiple outstanding orders and incorporating order setup cost into the model has not been covered yet. From numerical experiment, we investigate how much the policy with N suppliers can contribute to reducing the supply cost compared to the policy with a single supplier.

• Journal of the Korea Safety Management & Science
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• v.22 no.3
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• pp.53-60
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• 2020

This study aims to find the causal relationship between the effects of apartment inhabitants' life management and administrative management on housing satisfaction. The study results are as follows. Firstly, life management showed to have a positive effect on life satisfaction. In other words, the better the management of public order and facilities, the higher the satisfaction of housing satisfaction. Thus, the principal agent of management needs to increase inhabitants' housing satisfaction through education and training on developing life management techniques. Secondly, administrative management showed to have a positive effect on life satisfaction. Thus, the more accurate the completion documents and management transfer process necessary for administrative management, the higher the cost-cutting effects of accounting, construction, and service contracts, the more transparent the resident agreement process in accordance with management policies, the more transparent the election process of building representatives and resident representatives, and the higher the effects of energy saving, the higher the housing satisfaction of inhabitants. This revealed that the principal agent of management needs to increase housing satisfaction through education and training on developing administrative management techniques because the level of administrative management had a positive effect on housing satisfaction. As a result, in order to create reliability between inhabitants and the principal agents of management, the transparency of administrative management such as document disclosure must be ensured, thus improving the housing satisfaction of inhabitants.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.52-55
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• 2000

The purpose of this study is to develope a stage management model for R&D projects using expert system in order to evaluate the successful accomplishment and diagnose the success level of projects at each development stage. Constructing this model, we classified the development projects for electronic parts, and designed the basic system structure through causation analysis between the factors of success influence and R＆D process. We gathered the input data of expert system by enquete survey, and used ID3 algorithm in order to extract the reasoning rule.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.349-357
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• 2007

We consider supply chain which consist of one manufacturer, one distributor and N retailers for a single product. This paper determines inventory replenishment period of supply chain using houristic method and propose order policy through re-coordination of inventory replenishment. Also, We develops inventory management model to calculate total cost of supply chain under assumptions of constant demand. The computational results show that the proposed inventory replenishment period and inventory management model is efficient.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.155-166
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• 2008

During last two decades the transportation system has developed into very intelligent system with GIS, GPS and ITS. The practical transportation management system provides real time response module to manage the customer's order. We have surveyed research papers on the real time vehicle routing problem in last two decades to figure out the dynamic vehicle routing problem. The papers are classified by basic routing algorithms and by managing the dynamic events which are the order management, the routing re-optimization, the routing post-optimization and the waiting strategy.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.47-53
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• 2007

We consider supply chain which consist of one manufacturer, one distributor and N retailers for a single product. This paper determines inventory replenishment period of supply chain using heuristic method and propose order policy through re-coordination of inventory replenishment. Also, We develops inventory management model to calculate total cost of supply chain under assumptions of constant demand. The computational results show that the proposed inventory replenishment period and inventory management model is efficient.

• Journal of the Korea Safety Management & Science
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• v.4 no.2
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• pp.147-154
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• 2002

An Order Management System related to press die fabrication in automobile industry are developed in this research. This system is constructed by CORBA and XML to avoid disorder from data integration. Because CORBA can integrate diverse applications within distributed heterogeneous environments and XML can be made use of data exchange format, The developed system is available on almost any hardware platforms, operation system environments, and programming languages.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.66-67
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• 2018

Large-scale construction projects require various license and technologies for the manufacturing and handling processes. Also, the whole life cycle business process management determines the success of the project. Then, the efficiency of the business conducted by stakeholders and their possessed technology should be enhanced in order to strengthen their competitive power. For this reason, many experts pointed out to focus on the improvement of the life cycle process and efficient management. Since it is very important to keep up-to-date data and utilize it for work during the long-term project to reflect changes in the large-scale project, the most important part of the project management in project is information change management. Therefore, the objective of this study is applying configuration management(CM) technique in order to managing change data generated for planning in early phase. The result of this research will certainly assist the large-scale project managers in the development of information change management system.