• Title/Summary/Keyword: Rule-chain

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Buyer-Supplier Collaboration and Benefit-Sharing Strategy in a Supply Chain (공급망 상생협력 활동과 성과 공유 전략)

  • Yoo, Seung-Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.36 no.1
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    • pp.69-84
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    • 2011
  • In this study, based on the principal-agent paradigm, we investigate a joint cost reduction activity in a buyer-supplier supply chain where a buyer motivates its operations department and a supplier to reduce the supply chain's production cost. We construct a benefit-sharing model based on the target cost scheme, a basic philosophy in practice which has not been explored in previous studies. The model also incorporates various supply chain issues such as the cooperation of multiple agents, the opportunity loss, and the degree of strategic relationship between the buyer and the supplier. Based on the analysis of the principal-agent model, we investigate the benefit-sharing rule to control agents' actions, and we also provide important managerial implications into supply chain practices via extensive comparative static analyses.

The Valuation of RFID Using Fuzzy Real Option (퍼지실물옵션을 이용한 RFID 투자가치평가)

  • Lee, Young-Chan;Lee, Seung-Seok
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.113-125
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    • 2008
  • Net present value (NPV) and return on investment (ROI) are commonly used to evaluate investment in new technologies. Sometimes, however, measuring the value of investment in new IT becomes very difficult due to its wide scope of application coupled with embedded options in its adoption. Therefore, comprehensive but easily understandable methodologies are needed to solve the complicated problems resulting from the complexity of new technologies. This paper employs a real option analysis to evaluate RFID adoption in the supply chain. Real options analysis should be a better way to evaluate a disruptive technology like RFID. However, the pure (probabilistic) real option rule characterizes the present value of expected cash flows and the expected costs by a single number, which is not realistic in many cases. To solve the problem, this paper considers the real option rule in a more realistic setting, namely, when the present values of expected cash flows and expected costs are estimated by trapezoidal fuzzy numbers.

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A Design of ATP Model Related eCRM (eCRM을 연계한 ATP 모델 구현에 관한 연구)

  • Yang Kwang-Mo;Park Jae-Hyun;Kang Kyong-Sik
    • Proceedings of the Society of Korea Industrial and System Engineering Conference
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    • 2002.05a
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    • pp.485-490
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    • 2002
  • Demands of customers are being changed and varied. And in this circumstance, it become a main issue of management that the company should produce and sell products according to the customer demands. With these trends, each company has been concentrating effects on generalization of product development technique and distinction of service for customer. To fulfill these demands of customer, they need a concept of eCRM(Web based Customer Relationship Management), and go from soiling products and services, or gathering customer requests, up to the phase of solving customer's problem by real time or previous action. With the help of internet, the frequency and speed of the problem solving has improved greatly. In the Supply chain, The ATP(Available to Promise) function doesn't only give customers to conformation of delivery. It can be used by the core function with ATP rule that can reconcile supplies and demands on the supply chain. Therefore We can be acquire the conformation about on the due date of supplier by using the ATP function of management about real and concurrent access on the supply chain, also decide the affect about product availability due to forecasting or customer's orders through the ATP. In this paper, It consolidates the necessity on a ATP and analyzes data which is concerned of ATP. Under the these environments, defines the ATP rule that can improve the customer value and data flow related the eCRM and builds on a algorithm.

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A Study on Impact of the U.S. Security Initiatives on Korean Participants in Global Supply Chain (미국물류보안규범이 우리나라의 공급망 참여자에 미치는 영향과 대응방안)

  • Huh, Eun-Sook
    • International Commerce and Information Review
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    • v.10 no.1
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    • pp.217-236
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    • 2008
  • The purpose of this paper is to discuss the impact of the New Container Security Initiatives of U.S., CSI(Container Security Initiative) and C-TPAT(Customs-Trade Partnership against Terrorism). The CSI which aims to pre-screen high-risk containers in ports of loading. It is a unilateral effort that seeks to develop bi-lateral agreements between the United States and foreign countries with significant container trade volumes into the U.S. C-TPAT is a voluntary initiative to develop cooperative security relationships between the U.S. government and U.S. firms in the global supply chain. Government and Industry have already responded with proposals to create more confidence in supply chain security. These proposals call for heightened inspection and scrutiny of the goods flowing through a supply chain, increased information exchange among participants of supply chain. While government and the private sector are working together to launch new initiative to create more secure and reliable supply chains, industry is rapidly exploring the potential of new technologies such as RFID. The security recommendations will eventually become the requirements to be complied with by importers and their supplier extending to the carriers. It is needed that Korean shippers involved in US importer's supply chain should pay attention to the requirements and start implementing the security measures.

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The Probabilistic Analysis of Fatigue Damage Accumulation Behavior Using Markov Chain Model in CFRP Composites (Markov Chain Model을 이용한 CFRP 복합재료의 피로손상누적거동에 대한 확률적 해석)

  • Kim, Do-Sik;Kim, In-Bai;Kim, Jung-Kyu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.4
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    • pp.1241-1250
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    • 1996
  • The characteristics of fatigue cumulative damage and fatigue life of 8-harness satin woven CFRP composites with a circular hole under constant amplitude and 2-level block loading are estimated by Stochastic Makov chain model. It is found in this study that the fatigue damage accumulation behavior is very random and the fatigue damage is accumulated as two regions under constant amplitude fatigue loading. In constant amplitude fatigue loading the predicted mean number of cycles to a specified damage state by Markov chain model shows a good agreement with the test result. The predicted distribution of the fatigue cumulative damage by Markov chain model is similar to the test result. The fatigue life predictions under 2-level block loading by Markov chain model revised are good fitted to the test result more than by 2-parameter Weibull distribution function using percent failure rule.

The Optimum pH of Oxidoreductases: A Comparison Between Experimental and Calculated pH Optimum (산화환원 효소의 최적 pH 예측)

  • Kim, Jin Ryeon;Yang, Ji Hye;Yu, Yeong Je
    • Journal of the Korean Chemical Society
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    • v.46 no.5
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    • pp.432-449
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    • 2002
  • For various oxidoreductases, the optimum pHs of the enzymes can be calculated using the rule based on proton transfer. Relative probability of a certain amino acid side chain to be in the water, or the relative affinity to the water was calculated using Boltzman distribution. Also, the protonated and deprotonated portions of a certain amino acid side chain were calculated using p$K_R$ of that and the effective protonated and deprotonated protions were the product of relative probability and the protonated and deproteonated protions. Where the total effective protonated portion was equal to the effective deprotonated portion of amino acid side chains, it was expected that oxidoreductases have max-imum activities. The optimum pHs calculated by our rule were compared with the experimental results.

Statistical design of Shewhart control chart with runs rules (런 규칙이 혼합된 슈와르트 관리도의 통계적 설계)

  • Kim, Young-Bok;Hong, Jung-Sik;Lie, Chang-Hoon
    • Journal of Korean Society for Quality Management
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    • v.36 no.3
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    • pp.34-44
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    • 2008
  • This research proposes a design method based on the statistical characteristics of the Shewhart control chart incorporated with 2 of 2 and 2 of 3 runs rules respectively. A Markov chain approach is employed in order to calculate the in-control and out-of-control average run lengths(ARL). Two different control limit coefficients for the Shewhart scheme and the runs rule scheme are derived simultaneously to minimize the out-of-control average run length subject to the reasonable in-control average run length. Numerical examples show that the statistical performance of the hybrid control scheme are superior to that of the original Shewhart control chart.

3-D Hand Motion Recognition Using Data Glove (데이터 글로브를 이용한 3차원 손동작 인식)

  • Kim, Ji-Hwan;Park, Jin-Woo;Thang, Nguyen Duc;Kim, Tae-Seong
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.324-329
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    • 2009
  • Hand Motion Modeling and Recognition (HMR) are a fundamental technology in the field of proactive computing for designing a human computer interaction system. In this paper, we present a 3D HMR system including data glove based on 3-axis accelerometer sensor and 3D Hand Modeling. Data glove as a device is capable of transmitting the motion signal to PC through wireless communication. We have implemented a 3D hand model using kinematic chain theory. We finally utilized the rule based algorithm to recognize hand gestures namely, scissor, rock and papers using the 3-D hand model.

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Development of a Targeted Recommendation Model for Earthquake Risk Prevention in the Whole Disaster Chain

  • Su, Xiaohui;Ming, Keyu;Zhang, Xiaodong;Liu, Junming;Lei, Da
    • Journal of Information Processing Systems
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    • v.17 no.1
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    • pp.14-27
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    • 2021
  • Strong earthquakes have caused substantial losses in recent years, and earthquake risk prevention has aroused a significant amount of attention. Earthquake risk prevention products can help improve the self and mutual-rescue abilities of people, and can create convenient conditions for earthquake relief and reconstruction work. At present, it is difficult for earthquake risk prevention information systems to meet the information requirements of multiple scenarios, as they are highly specialized. Aiming at mitigating this shortcoming, this study investigates and analyzes four user roles (government users, public users, social force users, insurance market users), and summarizes their requirements for earthquake risk prevention products in the whole disaster chain, which comprises three scenarios (pre-quake preparedness, in-quake warning, and post-quake relief). A targeted recommendation rule base is then constructed based on the case analysis method. Considering the user's location, the earthquake magnitude, and the time that has passed since the earthquake occurred, a targeted recommendation model is built. Finally, an Android APP is implemented to realize the developed model. The APP can recommend multi-form earthquake risk prevention products to users according to their requirements under the three scenarios. Taking the 2019 Lushan earthquake as an example, the APP exhibits that the model can transfer real-time information to everyone to reduce the damage caused by an earthquake.