• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.5-19
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• 2018

Recently, utilizing the supply chain among companies, major companies support their sub-vendors to establish an environmental management system and transfer the clean production technology(know-how) to them for strengthening of environmental competitiveness. Thus, Green Supply Chain Management(GSCM) became a key successful factor for companies to be environmentally sustainable. This research endeavors to identify the relationship among the inside and outside GSCM implementation activities of Korean manufacturing companies and their financial, operational and environmental performances. Based on a the review of previous research findings, twenty one hypotheses are developed and examined. Total 251 valid responses from 1,634 survey responses are identified and the structural equation models(SEM) are developed and analysed for examining our hypotheses. The result shows that inside GSCM has a positive effect on outside GSCM. Also, it reveals that companies' performances are more positively affected by inside GSCM than by outside GSCM.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.29-42
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• 2014

Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.8-13
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• 2003

This paper considers a continuous-review two-echelon inventory control problem with one-to-one replenishment policy incorporated and with lost sales allowed where demand arrives In a stationary Poisson process The problem Is formulated using METRIC-approximation in a combined approach of pricing and (S-1.S) Inventory policy, for which an iterative solution algorithm is derived with respect to the corresponding one-warehouse multi-retailor supply chain. Specifically, decisions on retail pricing and warehouse inventory policies are made in integration to maximize total profit in the supply chain. The objective function of the model consists of sub-functions of revenue and cost (holding cost and penalty cost). To test the effectiveness and efficiency of the proposed algorithm, numerical experiments are performed The computational results show that the proposed algorithm is efficient and derives quite good decisions

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.1
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• pp.75-85
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• 1997

A stable algorithm for computing the fundamental matrix (I-Q)$^{-1}$ of a Markov chain is proposed, where Q is a substochastic matrix. The proposed algorithm utilizes the GTH algorithm (Grassmann, Taskar and Heyman, 1985) which is turned out to be stable for finding the steady state distribution of a finite Markov chain. Our algorithm involves no subtractions and therefore loss of significant digits due to concellation is ruled out completely while Gaussian elimination involves subtractions and thus may lead to loss of accuracy due to cancellation. We present numerical evidence to show that our algorithm achieves higher accuracy than the ordinagy Gaussian elimination.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.1
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• pp.45-59
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• 2012

We analyze a transaction mechanism so-called the revenue sharing transaction model and its dynamics in a supply chain with two competing suppliers and a monopolistic retailer when the demand pattern is uncertain and the back-order is allowed in case. We assume that the products by the suppliers are substitutable each other with a certain degree even though their retail prices are different. It is proved that a supplier and the retailer in the supply chain have some room for enjoying the possibility of their increased profits comparing with the present ones by adopting the suggested revenue sharing scheme. Furthermore, such a transaction model is beneficial even to the customers by offering a lower retail price than before. On the contrary, we observe that another supplier which sticks to an existing transaction scheme is supposed to suffer some decrease in its profit as a result.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.101-109
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• 2015

This paper suggests a procedure to define business process improvement (BPI) projects with analysis results based on the cause-and-effect chain. The procedure developed in this paper focuses on eliminating root causes of business problems resulted from abnormal events occurred in business process executions. First, we develop three criteria used to make clusters of the root causes where a cluster of root causes will be eliminated together by a BPI project defined based on the cluster. Second, we develop a method to formulate desired expectations from the BPI project. Also, we suggest a method to calculate the relative importance of the BPI projects that help a BPI organization determine priorities of them. We illustrate the procedure and the methods with some examples for the domestic mail delivery process in the postal service industry.

• The KIPS Transactions:PartA
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• v.18A no.4
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• pp.151-158
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• 2011

For the purpose of cost saving and sales promotion, various industry companies have introduced logistics management techniques in their field. However, enterprises faced to damages because proper products can not be provided to customers in basic logistics 3S1L(speedy, safely, surely, and low) principles for environments changing rapidly and inflexible business processes. So, we need the ability in coping with risk to handle this phenomenon. In particular, the shipper of key decisions of supply chain risk management requires continuous exchange and collection of logistics information in the third-party logistics. However the current SCRMS(Supply Chain Risk Management System) is not sufficient to cover the shipper's various needs and to recognize and respond to emergency situations. Therefore, this paper proposes an active SCRMS framework through the reconsideration about the previous research on SCRM and rearrangement of risk factors for coping with those problems. in addition, it verifies an efficiency through a stability comparison with the current system.

• Korean small business review
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• v.39 no.1
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• pp.59-87
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• 2017

There is growing concern of the international community for the environmental issues including climate change. Scholars have examined various issues regrading Green Supply Chain Management (GSCM) but they mainly have focused on why firms introduce and implement GSCM from the persecutive of manufacturers. In particular, there has been few studies of green supply chain management in Korea. We investigate the effects of long-term relationships on green supply chain management and the relationship between GSCM and environmental performance. We also examine the relationship between long-term relationships and green information sharing, the effects of green information sharing on the GSCM. The data for this study were collected through a questionnaire survey on firms that participated in the Green Partnership Program of Korea Institute of Industrial Technology. Based on the responses of 155 firms the research model is empirically tested through a structural equation model. We found that long-term relationships facilitate GSCM significantly as it was expected. Green purchase and green product design also appears to improve environmental performance. Long-term relationship appears to affect positively green information sharing. Green information sharing does not have a statistically significant effect on environmental performance but show positive effect on GSCM including green purchase and green product design.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.346-349
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• 2003

This paper is intended to assess a system reliability that is changed as time passes. The proposed methodology consists of two steps: (1) predicting probabilities that each component fails at specific time by using a Markov Chain model and (2) calculating reliability of the whole system via Bayesian network. The proposed methodology includes extended Bayesian network model reflecting the case that components are mutually dependent.

• Journal of Korean Society for Quality Management
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• v.29 no.1
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• pp.101-112
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• 2001

In supply chain, the quality level of assembly factory depends on the quality levels of suppliers and it is very important to integrate efforts improving the quality levels between producer and suppliers, In this paper, we consider an integrated determination problem of quality specification levels of suppliers. The cost model is developed and the optimal policy under a specific model assumption is obtained. A numerical example is studied.