• 한국시뮬레이션학회논문지
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• 제21권1호
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• pp.55-68
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• 2012

최근 경제는 제조업에서 서비스업으로 이동하고 있기 때문에 서비스 공급사슬을 이해하는 것이 중요하다. 그러나, 공급사슬과 관련된 기존연구의 대부분은 제조업에 집중하고 있다. 이러한 상황을 극복하기 위해서, 서비스 공급사슬을 조사하고 분석할 필요가 있다. 시뮬레이션은 복잡한 시스템을 분석하고 설계하는데 가장 자주 사용되는 기법 중에 하나이다. 서비스 공급사슬은정교한 설계 단계가 필요한 복잡하고 거대한 시스템이다. 특히, 서비스 공급사슬의 성과를 예측하기 위해서 서비스 공급사슬을 구성하고 있는 구성요소 사이의 동적인 상호작용의 행위를 밀접하게 조사하는 것이 중요하다. 본 연구에서는 첫 번째로 서비스공급사슬의 개념적 모델이 개발된다. 다음으로 개발된 서비스 공급사슬의 개념적 모델에 대한 시뮬레이션 모델을 개발하기위한 새로운 절차를 제시한다. 시뮬레이션 모델링의 절차는 UML 분석과 설계 도구를 이용하며 ARENA 시뮬레이션 언어로 구현된다. 제안된 절차의 두 가지 주요한 특성은 서비스 공급사슬을 설계하는데 체계적인 절차의 정의와 또한 ARENA 시뮬레이션 언어로 개념적 모델의 변환에 대한 규칙을 제공한다. 본 연구의 결과는 서비스 공급사슬의 지식을 개선하는데 이용될 수 있으며, 또한 서비스 공급사슬 시뮬레이션 모델의 개발을 효율적으로 할 수 있도록 지원한다.

• 산업경영시스템학회지
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• 제32권1호
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• pp.117-129
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• 2009

The bullwhip effect is known as the significant factor which causes unnecessary inventory, lost sales or cost increase in supply chains. Therefore, the causes of the bullwhip effect must be examined and removed. In this paper, we develop two analytical tools for the bullwhip effect control in supply chains. First, we develop the quantitative models for computing the bullwhip effect in a three-stage supply chain consisted of a single retailer, a single distributor and a single manufacturer when the fixed-interval replenishment policy is applied at each stage. The quantitative models are developed under the different conditions for the demand forecasting and share of customer demand information. They are validated through the computational experiments. Second, we develop a simulation-based decision support system for the bullwhip effect control in a more diverse dynamic supply chain environment. The system includes a what-if analysis function to examine the effects of varying input parameters such as operating policies and costs on the bullwhip effect.

• 산업경영시스템학회지
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• 제39권3호
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• pp.109-117
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• 2016

Recently, corporate environment is faced with uncertainty that did not suffer in the past. In addition, as the supply chain was expanded and lengthened, the flow of information and material was complicated. Increase in complexity which amplifies the variability of the individual steps in supply chains further adds to the uncertainty. The bullwhip effect that refers the phenomenon where order variability increases as the orders move upstream in the supply chain became serious. The bullwhip effect is more and more important especially for the enterprise in the supply chain. So, there are many studies now since it was observed about 100 years ago. The aim of this paper is to analyze how to solve the bullwhip effect by using TRIZ (Teoriya Resheniya Izobretatelskikh Zadach). TRIZ is one of the most famous tools for creative solving that applied in many fields ranging from management as well as engineering. Among problems, the dilemma needs creative solutions that require handling the contradictions inherent in that. Among various kinds of problem solving techniques, TRIZ provides the concept of physical contradiction as a common problem solving principle. This study provides a simple process of solving problem explains a case of solving problem in the management field and shows the availability of theory in the inventory control. In accordance with the proposed solving process, the paper analyzes the bullwhip effect by applying the TRIZ tools and then identifies the solution directions. Next, the current studies are classified by the above analysis and important managerial concepts are proposed. Lastly, directions for future research on this area are suggested.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.125-133
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• 1999

The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.125-133
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• 1999

The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.482-487
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• 2007

As the importance of logistics is increasing, Enterprises design the supply chain(SC) network to minimize the total costs considering inventory holding cost, transportation cost and apply the efficient strategies of supply chain based on SC network Calculating the logistics costs without reflecting the logistics components like the packaging cost, transportation related cost, storage cost, loading & unloading cost, and distribution costs, the companies should have many limitation to calculate the logistics cost of real enterprise and install the SC network reducing them. Therefore, this research is aimed at establishing SC strategies which can be an efficient alternative for a decision making on supply chain, based on existing reference and current logistics networks of 'L' company in Korea and analyzing interaction effects between strategies and influence on logistics cost by these strategies. As the method of analysis, we analyze the interaction effects between strategies as well as install the optimal SC network reflecting concrete logistics components from the viewpoint of total logistics costs. we expect that analysis method of this paper would be applied various industries and used the efficient tools for the decision mating by planing and execution of the logistics budget from enterprises.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.245-256
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• 2021

Poor logistical infrastructure and agri-food supply chain management leads to significant food waste in logistic system. The concept of the sustainable value added agri-food chains requires defined approach to the analysis of the existing situation, possible improving strategies and also assessment of these changes impact on further development. The purpose of research is to provide scientific substantiation of theoretical and methodological principles and develop practical recommendations for the improvement of the agri-food logistics distribution system. A case study methodology is used in this article. The research framework is based on 4 steps: Value Stream Mapping (VSM), Gap and Process Analysis, Validation and Improvement Areas Definition and Imitation Modelling. This paper presents the appropriateness of LEAN logistics tools using, in particular, Value Stream Mapping (VSM) for minimizing logistic losses and Simulation Modeling of possible logistics distribution system improvement results. The algorithm of VSM analysis of the agri-food supply chain, which involves its optimization by implementing the principles of sustainable development at each stage, is proposed. The methodical approach to the analysis of possible ways for optimizing the operation of the logistics system of the agri-food distribution is developed. It involves the application of Value Stream Mapping, i.e. designing of stream maps of the creation of the added value in the agri-food supply chain for the current and future state based on the minimization of logistic losses. Simulation modeling of the investment project on time optimization in the agri-food supply chain and economic effect of proposed improvements in logistics product distribution system functioning at the level of the investigated agricultural enterprise has been determined. Improvement of logistics planning and coordination of operations in the supply chain and the innovative pre-cooling system proposed to be introduced have a 3-year payback period and almost 75-80% probability. Based on the conducted VSM analysis of losses in the agri-food supply chain, there have been determined the main points, where it is advisable to conduct optimization changes for the achievement of positive results and the significant economic effect from the proposed measures has been confirmed. In further studies, it is recommended to focus on identifying the synergistic effect of the agri-food supply chain optimization on the basis of sustainable development.

• 산업공학
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• 제14권3호
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• pp.236-246
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• 2001

The purpose of the study is to identify specific tools and joint practices used in customer-supplier partnerships and to investigate performance outcomes resulting from using the identified tools and joint practices. To achieve the purpose, related literatures in the area of marketing, purchasing, and management systems engineering are reviewed. Successful and world-class supply and/or supplier management cases are examined in-depth as well. Before addressing the purpose of this study, quality experts' assertions on and historical perspective of Supply Chain Management(SCM) and general issues on customer-supplier partnerships are also mentioned.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.820-823
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• 2005

RFID technology offers the possibility that tools and valuable supplies tagged with RFID devices could be tacked down automatically. Such automated tool tracking has the potential to reduce theft, identify underutilized tools to be relocated, insure that crafts have access to the appropriate tools as needed, and reduce overhead labor cost of managing tools. Although other industries have been busy to enhance their supply chain management using RFID technology, construction professionals may be wondering whether it works reliably in construction jobsites as well. This paper presents a field test conducted to determine the reliability of RFID technology in identifying tools in the field storage box. The test indicated that RFID technology is reliable in inventorying tools in field storage.

• 한국CDE학회논문집
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• 제10권4호
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• pp.274-283
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• 2005

Product data quality (PDQ) is a real and significant issue in today's manufacturing environment. In the Korean automotive industry, much of the design work takes place with the support of software tools, such as CAD systems. Although many designers frequently encounter quality problems regarding product data, there is no investigation into the present state of CAD usage and PDQ activities before. The Korean automotive industry is responsible for about 11.1 percent of the total value of manufactured goods in Korea and 7.9 percent of employment in manufacturing. A study performed by the Research Triangle Institute showed that imperfect interoperability imposes at least $\$1$ billion per year on the members of the U.S. automotive supply chain. The trends toward concurrent engineering and out-sourcing have elevated the importance of high-quality product data and efficient product data exchange. This paper shows the results from a survey of PDQ conducted on seven 1st tiers among members of the Korean automotive supply chain.