• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.501-504
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• 2004

Through the recent innovative development of information technology Enterprises have applied ERP(Enterprise Resource Planning)system to their company for piling up their management system efficiency. At present the range of its application has been expanded to small and medium enterprises gradually since the ERP system was mainly applied to the large companies. Usually the small and medium enterprises have lower understanding for information management system comparatively than for production system and mostly they do not prepare their own efficient information strategies for the future. In this study, as the ERP system can bring the most efficient results in case it is properly applied to the character of their company we will analyze the character of small and medium enterprises and suggest an appropriate and efficient ERP application strategy to their management system.

• Journal of Information Technology Applications and Management
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• v.9 no.2
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• pp.81-106
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• 2002

As more organizations undertake IT-enabled business process reengineering(BPR), IT-enabled BPR projects become a major concern. Especially, one of IT, Enterprise Resource Planning System (ERP) is recognized as a revolution solution. But the success cases of ERP project are rarely reported. In this study, ERP implementation is defined as a IS implementation project based on BPR concepts To explore the issues of implementing ERP systems, a company implementing ERP successfully in Korea is selected. The research framework consists of four components: 1) strategic plan dimension , 2) organizational environment dimension, 3) implementation process dimension, and 4) IT dimension. On this framework, to implement ERP systems successfully, the analysis of the results clearly suggests appropriate planning, top management support, change management, appropriate methodology , ERP specialist commitment, management of standard process and master data, and the extent of IT localization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.133-141
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• 2020

Up to date cosmetic OEM/ODM (original equipment manufacturing/original development manufacturing) industry receives attention as a future growth engine due to steady growth. However, because of limited research and development capability, many companies have employed commercial management platforms specialized for large-sized companies; thus, overall system effectiveness and efficiency is low. Especially, MRP (material requirement planning) system introduced originally in 1970s is employed to calculate the requirement of the parts. However, dynamic nature of production lead time usually results in incorrect requirements. In addition, its algorithm does not consider the capability of the production resources. Also, because the commercial MRP system calculates all subcomponent for fixed period, the more goods have subcomponent, the slower calculation is. Therefore, conventional MRP system cannot respond complicated situation in time. In this study, we will suggest a new method that can respond to complicated situations resulting from short lead time and urgent production order in Korean cosmetic market. In particular, a distributed MRP system is proposed, that consists of multi-functional and operational modules, based on the characteristic of the BOM (bill of material). The distributed MRP system divides components (i.e. products and parts) into several fields and decrease the problem size; thus, we can respond to dynamically changed data any time. Through this solution, we can order components quickly, adjust schedules and planned quantity, and manage stocks reasonably. In addition, a prototype of the distributed MRP system is presented in this paper, in which ERP (enterprise resource planning) sever data is associated with an excel spreadsheet via MSsql. System user interface is implemented by a VBA (visual basic for applications) tool. According to a case study, response rate for delivery and planning achievement rate were enhanced about 20%, and inventory turnover was also decreased. Consequently, the proposed system improves overall profit.

• Korean Journal of Computational Design and Engineering
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• v.8 no.2
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• pp.101-108
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• 2003

Presented in this paper is the development of an product cost estimation system at the product design stage. The efficient cost estimation function at the design stage is essential for the cost reduction activities through the entire product life cycle. For this purpose, it is necessary to establish a systematic working procedure, and to develop information system for managing a great deal of production and product-related data required for the cost estimation. The developed system has the capability of estimating a cost of assembly type products as well as unit-item type products. As proposed system is based on the variant approach, it can be used easily at an early design stage without the need for detail design information. Also, this system is integrated with legacy PDM (Product Data Management) and ERP (Enterprise Resource Planning) system for fast. accurate and easy product cost estimation. The estimated cost includes material cost, overhead cost as well as labor cost.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.137-146
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• 2016

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.3
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• pp.100-109
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• 2008

In the 1990s and 2000s there was considerable growth in implementation of Enterprise Resource Planning(ERP) Systems. It is estimated that the ERP market will grow to about $65 billion by 2009. Companies expect these systems to support many of the day to day business transactions. However, the implementation projects of ERP are big, strategic and complex projects which involve lots of time, scope and costs. Because of that, companies have to create conditions, in which they can implement chosen solution in expected time, scope and budgeted costs. This means that companies should be aware of what most critical factors for success of ERP implementations are. This study will first investigate the ERP implementation CSFs by studying prior published researches on the field of ERP implementation. Then, this study will discuss in depth some important factors of ERP implementation and represent preliminary results CSFs of ERP implementation empirical survey.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.59-65
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• 2008

Manufacturing Execution System (MES) is a system that companies can use to measure and control critical production activities. This paper shows case study of implementation of MES (Manufacturing Execution System) and its methodology in a medium sized production company. This study focused on two important things in MES implementation. First, it provides critical success factors (CSFs) and construction method for success of MES implementation. Second, it presents guidelines for MES implementation in small and medium-size company. Some of the benefits with regards to MES implementation and its results are introduced in the end of this paper.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.78-86
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• 2015

Up-to-date business environment for manufacturers is very complex and rapidly changing. In other words, companies are facing a variety of changes, such as diversifying customer requirements, shortening product life cycles, and switching to small quantity batch production. In this situation, the companies are introducing the concept of JIT (just-in-time) to solve the problem of on-time production and on-time delivery for survival. Though many companies have introduced ERP (enterprise resource planning) systems and MRP (material requirement planning) systems, the performance of these systems seems to fall short of expectations. In this paper, the case study on introducing an APS (advanced planning and scheduling) system based on dispatching rules to a machining company and on finding a method to establish an efficient production schedule is presented. The case company has trouble creating an effective production plan and schedule, even though it is equipped with an MRP-based ERP system. The APS system is applied to CNC (computer numerical control) machines, which are key machines of the case company. The overall progress of this research is as follows. First, we collect and analyze the master data on individual products and processes of the case company in order to build a production scheduling model. Second, we perform a pre-allocation simulation based on dispatching rules in order to calculate the priority of each order. Third, we perform a set of production simulations applying the priority value in order to evaluate production lead time and tardiness of pre-defined dispatching rules. Finally, we select the optimal dispatching rule suitable for work situation of the case company. As a result, an improved production schedule leads to an increase in production and reduced production lead time.

• Journal of the Korea Safety Management & Science
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• v.8 no.6
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• pp.79-90
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• 2006

Recently the construction of the ERP(Enterprise Resource Planning) system becomes accomplished actively from the many enterprises. But the many problems occur in acquisition of production data which is a fundamental data of system. Also to delay the acquisition of the production result is fatal in the efficient business operation. The construction of the POP(Point of Production) system which acquires production data at real time is become accomplished widely, In the POP system it is most important to acquire the production data which is accurate. But the many enterprises drop the competitive power with acquisition of the data which could not be trusted. In this paper, we analyze these causes and present the method which it can improve the reliability of production data. Also we introduce a real application case.

• Asia pacific journal of information systems
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• v.10 no.1
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• pp.61-79
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• 2000

ERP system is a very popular tool for pushing management innovation and implementing an integrated information system. The purpose of this research is to investigate the relationship among the structure of production systems, types of implementation strategy, relative importance of competitive goals, information technology and culture level, and the efficiency from using the system. The data for this study were collected from 45 Korean manufacturing firms that have implemented ERP system. Research results confirm that the success factors include the top managements' strategic views and culture level related to new information technology. But the linkage between the structure of production systems and types of implementation strategy is proved to be very weak. Also control effect of types of implementation strategy on the efficiency of the organization is not strongly recognized. A summarized report of other findings is provided as well.