• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.1
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• pp.1-17
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• 2017

This study investigates a buyer-supplier supply chain, in which a buyer delegates the production process to a supplier as in many practices. The consumer's buying intention and overall supply chain performance are affected not only by the buyer's decision on sales price but also by the supplier's decision on product quality. Therefore, the buyer has a motivation to control the supplier's quality investment. Among various incentive schemes that the buyer can adopt in practice, we consider a revenue-sharing contract and investigate its unique characteristics. By comparison with a typical wholesale price contract, we reveal that the revenue-sharing contract can enhance supply chain's overall performance, including quality, demand, and profits of not only overall supply chain but also each player. We contribute to the academia and the supply chain practice by providing important guidelines in adopting incentive schemes and effectively managing product quality in a supply chain.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.187-196
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• 2004

By successful establishment of Supply Chain Management System they should make the supply chains speedy and combine production information system with the outcome system and thus they reinforce the competition of the production system of local enterprises in accordance with the rapid decision making. Supply chain coordination improves if all supplier of chain take actions that together increase total supply chain profits. To design of Modularity by the grouping supplier, the proposed method is to develop the most appropriate production system models through the reflection of JIT system in the Supply Chain Management which is necessity of the times and its importance. The objects of this study is to develop the most appropriate production system Model and optimal profit model in the process line and to provide the enterprises with the models which are based on the Supply Chain Management.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.305-310
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• 2008

A lot of changes are required in a management method of a project because the character of construction projects gets bigger and higher gradually. Especially, for the efficiency of the management method the plans of various viewpoints focused on the construction supply chain field that the technical application of Ubiquitous Technologies such as RFID/USN is being advanced actively are presented. Recently, the introduction of the intelligent equipment which is developed for intelligence of construction site requires the new process model in the construction supply chain management on the construction site. Therefore, this study is to propose the intelligent construction supply chain reference model development in order to provide the guide that the numerous materials for construction could easily be applied in the changed process, as mentioned above, by overcoming the limit of the existing construction supply chain process which is proposed as bar codes and RFID/USN based individual material types and reflecting the change factors like the intelligent equipment of construction supply chain management.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.756-761
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• 2007

The construction Supply Chain Management(SCM) plays a critical role to proceed construction projects successfully. It is necessary to develop a system to support better communication among various actors and to supply construction materials in the right place on time with unstable situations on site according to the planned construction schedule for effective Supply Chain Management. Therefore, the objective of this study is to propose an automated and intelligent process that can be used to utilize ubiquitous technologies in construction supply chain management. This process consists of various equipments that can collect, store, calculate and communicate data among themselves. This study deals with a conceptual idea in order to improve process and equipment in the supply chain management process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.157-158
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• 2021

Big data in the supply chain mainly comes from four aspects. One is the relevant data inevitably generated in the process of product value transfer of enterprises in the supply chain, such as production equipment quality data, planned procurement data, product data, etc; On the other hand, it is derived from the ERP data of various companies in the supply chain; The third is e-commerce data from the customer, and the last is data from external or manually entered data. A third-party data service center analysis and mining the data to predict and control the inventory in the process of supply chain operation. It brings innovation and change of management technology and way of thinking to the whole supply chain in many aspects, and finally achieves the goal of coordinated inventory and zero inventory of the whole supply chain.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.191-199
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• 2015

Considering the supply system and operating cost of enterprises which are in the supply chain as the main index, this paper establishes a supply chain evaluation model, and utilizes Arena building stimulation model of the supply chain which considers manufacturing enterprises as the core of supply chain. This model designs a generic simulation model of the supply chain including multi-level distributors and suppliers. And the model analyzes a representative example of business process, one of the enterprises in Shandong.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.2
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• pp.152-163
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• 2005

The focus of enterprise collaboration of supply chain management, has changed from integrating and exchanging business information to integrating and managing business processes between business partners. However, the collaboration is difficult due to the inherent complexity such as diverse business processes and dynamic business environments. To settle these problems, a reference model based enterprise architecture framework for the collaboration of supply chains is proposed in this paper. The supply chain collaboration framework is composed of three reference models capturing the different views of supply chain collaboration: supply process reference model, service component reference model, and technology and standard reference model. As the framework adapts the OMG's metadata architecture, the processes in the supply chain can be extended and integrated with other value chains, such as design chains, when it is necessary. Using the proposed framework, business managers can rapidly integrate and manage their business processes with their suppliers and customers.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.459-470
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• 2010

The aim of this study were to investigate the process of national R&D project planning by using the industry quantitative analysis(especially supply-chain enterprise ananlysis). In the selection process of funding project, the role and significance of the industry analysis can be identified as the effective guideline of using this methodology. Across the study, the following is noted : the factors of R&D effectiveness and R&D necessity are found reliable and valid. On the other hand, the emptiness of supply chain and the positive effect of foreign trade balance did not influence the selection of project. The information gained from this study will help us to define better expectations and industry analysis employing to the National R&D Project Planning.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.120-125
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• 2020

Supply chain managers seek to achieve global optimization by solving problems in the supply chain's business process. However, companies in the supply chain hide the adverse information and inform only the beneficial information, so the information is distorted and cannot be the information that describes the entire supply chain. In this case, supply chain managers can directly collect and analyze supply chain activity data to find and manage the companies described by the data. Therefore, this study proposes a method to collect the order-inventory information from each company in the supply chain and detect the companies whose data characteristics are explained through deep learning. The supply chain consists of Manufacturer, Distributor, Wholesaler, Retailer, and training and testing data uses 600 weeks of time series inventory information. The purpose of the experiment is to improve the detection accuracy by adjusting the parameter values of the deep learning network, and the parameters for comparison are set by learning rate (lr = 0.001, 0.01, 0.1) and batch size (bs = 1, 5). Experimental results show that the detection accuracy is improved by adjusting the values of the parameters, but the values of the parameters depend on data and model characteristics.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.136-150
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• 2021

The modern market is highly competitive. It has progressed from traditional competition between enterprises to competition between supply chains. To ensure that enterprise can form the best strategy consistently, it is necessary to evaluate the trust of other enterprises in the supply chain. First, this paper analyzes the background and significance of supply chain trust research, analyzes and expounds on the qualitative and quantitative methods of supply chain trust evaluation, and summarizes the research in this field. Analytic hierarchy process (AHP) is the most frequently used method in the literature to evaluate and rank criteria through data analysis. However, the input data for AHP analysis is based on human judgment, and hence there is every possibility that the data may be vague to some extent. Therefore, in view of the above problems, this study improves the global trust method based on chain iteration. The improved global trust evaluation method based on chain iteration is more flexible and practical, hence, it can more accurately evaluate supply chain trust. Finally, combined with an actual case of Zhaoxian Chengji Food Co. Ltd., the paper qualitatively analyzes the current situation of supply chain trust management and effectively strengthens the supervision of enterprises to cooperative enterprises. Thus, the company can identify problems on time and strategic adjustments can be implemented accordingly. The effectiveness of the evaluation method proposed in this paper is demonstrated through a quantitative evaluation of its trust in downstream enterprise A. Results suggest that the subjective preferences of and historical transactions together affect the final evaluation of trust.