• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.55-64
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• 2001

The main objective of this research is to develop a model to select the optimal input service level for a distribution center-multi branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Further, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can select the optimal input service levels for the distribution center and each branch to attain the effective service levels for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.636-647
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• 2004

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. It has been known that traditional reorder policies sometimes show poor performance in distribution systems. Thus, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately for the 2-echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value for general multi-echelon systems is very complex, we provide two approximation methods for the real-time calculation. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.159-165
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• 2003

The objective of this paper is to provide an improved reorder decision policy for general multi-echelon distribution systems utilizing the shared stock information. Since it has been known that traditional reorder policies sometimes show poor performance in distribution systems, in our previous research we introduced the order risk policy which utilizes the shared stock information more accurately f3r the 2-echelon distribution system and proved the optimality. However, since the real world supply chain is generally composed with more than 2 echelons, we extend the order risk policy for the general multi-echelon systems. Since the calculation of the exact order risk value fur general multi-echelon systems is very complex, we provide two approximation methods. Through the computational experiment comparing the order risk policy with the existing policies under various conditions, we show the performance of the order risk policy and analyze the value of the shared stock information varying with the characteristics of the supply chain.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• Proceedings of the Safety Management and Science Conference
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• 2003.11a
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• pp.291-296
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• 2003

In this paper, we purpose the integrated TMS to solve the problem of current systems. Current system resulted in the inconvenience because customer and user must contact to each systems when they want to know the information about the order. In this time, we make the system customer and user can confirm all of order information from one system to solve this problem by integrating the information brought from two systems on constructing integrated DataBase.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.453-457
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• 2004

EPC seeks to minimize variability by transferring the output variable to a related process input(controllable) variable. In the case of product control, a very reasonable objective is to try to minimize the variance of the output deviations from the target or set point. We consider an alternative EPC model with first-order autoregressive disturbance.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.879-892
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• 2021

In a make-to-order manufacturing environment, the manufacturer's quotation information is important information used as basic information for bidding, receiving orders, and producing products in response to various customer demands. This quotation information is changed according to various factors such as customer demands, changes in product production environment, changes in drawing information of technical partners, and technological improvement of products. Due to this change, various changes occur in the quotation information that the manufacturer is preparing to reflect the customer's requirements. The change of quotation information according to these various change factors puts a lot of burden on the quotation management work from the standpoint of a make-to-order manufacturing company. In particular, the change of quotation information due to the change factors of quotation is inevitable and frequently occurs due to the requirements of the customer in the customer-oriented make-to-order production environment. In this paper, we propose a quotation change process based on the quotation creation process and propose a consistent and efficient quotation change processing method. To this end, the factors causing the change of quotation were defined, and the types of changes for each factor were defined. And it shows the procedure of applying the quotation change process to the quotation management system through the cases of each cause of the quotation change. In addition, in order to show the usefulness of the quotation change factors, the type of quotation change, the quotation change process, and the quotation system management, the proposed quotation change process and function was applied in the integrated quotation management system for the ship engine division of a typical make-to-order manufacturing company 'H'. As a result, it was confirmed that the proposed quotation change process and management system according to the quotation change factors were efficiently performed.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.26-37
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• 2020

The purpose of this study is to verify the relationship between the entrepreneurship and management strategy perceived by the members of SMEs and their organizational performance. First, as a result of the hypothesis that the entrepreneurship of one hypothesis had a significant influence on organizational performance, risk sensibility, progressiveness, and innovation, which are entrepreneurship, had a positive influence on both financial and non-financial performance. Second, as a result of verifying the influence relationship of the hypothesis two entrepreneurship on the management strategy, risk sensibility, progressiveness, and innovation, which are entrepreneurship, were statistically significant for the management strategy, cost advantage strategy, differentiation strategy, and centralization strategy. Therefore, in order to practice management strategy based on entrepreneurship, it was analyzed to influence mutual cohesion. Third, the management strategy showed a positive influence on organizational performance. In particular, only the centralization strategy, a type of SMEs' management strategy, confirmed the positive impact on the financial and non-financial performance. Therefore, the importance of entrepreneurship and management strategy has been emphasized in order for SMEs to create organizational performance through the advancement of sustainability management system.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.490-505
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• 2014

IT governance in order to achieve the strategic goals of the organization, leadership, organizational structure, and the process is defined. In order to achieve IT governance, organizational structure, leadership for spindle formation, maintenance, and standardized processes to specific and an effective ITIL (Information Technology Infrastructure Library) management model is needed. In this study, the K Authority Management Model of IT Governance ITIL - based research on service delivery and customer satisfaction through the effective information for ITSM (Information Technology Service Management, IT Service Management) building measures, information for business planning and performance management PMS (Project Management System, project Management System), survey on ICT service levels established through the process of planning and construction management models such as ITIL future research on the public portion of the proceeds from the ITIL management model can be utilized as a guideline when establishing a theoretical presents a base.

• Journal of Korean Society for Quality Management
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• v.14 no.1
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• pp.33-38
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• 1986

This paper deals with probabilistic order level inventory system which the quantity ordered at the end of the scheduling period is dependent on lead times. To find an optimal solution, pearson system of distributions is used to approximate the probability density function of the on-order quantity. An example is solved and sensitivity analysis is performed to examine the relation between lead times and the ordering quantity.