• 한국전자거래학회지
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• 제17권4호
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• pp.141-153
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• 2012

시장 상황의 변화에 따라 상품의 효율적인 공급을 위해 기업은 한정된 예산 내에서 공급 사슬을 변화시킬 필요가 있다. 또한, 경쟁의 심화로 공급 사슬 내에서의 비용 절감뿐만 아니라 적절한 공급 사슬의 구성을 통해 상품의 정시 배송 등 고객 만족도를 높이는 것은 점점 더 중요한 요소로 고려되고 있는 추세이다. 본 연구에서는 공급 사슬 확장에 따른 네트워크 재설계 문제를 다루고 있으며 이에 따른 수리 모형을 제안한다. 또한 유전 알고리즘을 이용하여 예산 제한의 변화에 따른 총 가중 거리의 변화를 계산하여 경영진의 의사결정을 도울 수 있는 방법을 모색한다.

• Management Science and Financial Engineering
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• 제11권1호
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• pp.1-24
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• 2005

The results of a study of the coordination effect in stocking and promotional markdown policies for a supply chain consisting of a retailer and a discount outlet (DCO) are reported here. We assume that the product is sold in two consecutive periods: the Normal Sales Period (NSP) and the subsequent Promotional Markdown Sales Period (PSP). We first study an integrated supply chain in which managers in the two periods design a common system so as to jointly decide the stocking quantities, markdown time schedule, and markdown price to maximize mutual profit. Next, we consider a decentralized supply chain. An uncoordinated contract is designed in which decisions are decentralized to optimize the individual party's objective function. Here, three sources of system inefficiencies cause the decentralized system to earn a lower expected system profit than that in the integrated supply chain. The three sources are as follows: in the decentralized system the retailer tends to (1) stock less, and (2) keep a longer sales period, and the DCO tends to (3) stock fewer leftovers inventories and charge a higher markdown price. Finally, a numerical experiment is provided to compare the coordinated model with the uncoordinated model to explore factors that make coordination an effective approach.

• 대한안전경영과학회지
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• 제22권4호
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• pp.65-74
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• 2020

Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

• 유통과학연구
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• 제19권8호
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• pp.91-100
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• 2021

Purpose: Supply chain management is a significant component of marketing strategy to achieve the overall goal of maintaining a competitive edge in the industry. To better understand and compare marketing strategies between two major distribution channels (Wholesalers and Retailers), the present study examines the various critical aspects in developing marketing strategies based on numerous prior studies. Research design, data and methodology: Qualitative research involves collecting and analyzing various non-numeric data to establish different concepts or opinions in the data. In content analysis, determining the presence of different themes, concepts, or other valuable texts and their relationships is carried out. Usually, the researchers employ three distinct methods to carry out complete content analysis. Results: Developing the appropriate marketing strategy to manage the supply chain of a business is essential. Marketing strategies should be formulated in a manner that ensures the supply chain is well organized. Applying the marketing strategy in the supply chain management, the current author utilizes the four Ps to integrate strategies for two distribution channels which are essential in ensuring proper management. Conclusions: This study concluded that utilizing the existing marketing strategies and integrating them can help in better management of the supply chain, using communication, decision making, product differentiation, and pricing.

• 유통과학연구
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• 제22권7호
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• pp.73-82
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• 2024

Purpose: This study aims to identify the assessment criteria on textile and apparel supply chain management performance. Research design, data, and methodology: An integrated method of Delphi, quantitative survey, and ANP, in which Delphi with Kamet principle was applied to define the set of criteria, quantitative survey with reliability and validity test was utilized to ensure the match between the set of criteria and the whole textile and apparel industry, and ANP was used to derive weights of these criteria. Results: The set of supply chain management performance evaluation criteria composes of seven criteria namely order fulfillment quality, agility, costs, asset management, information sharing, innovation, and product development and 19 sub-criteria. Conclusions: This study theoretical contribution is the proposition of the set of evaluation criteria on supply chain performance. Regarding practical contribution, the study findings are guidelines for T&A companies in assessing and improving their supply chain capability. However, the findings are only for Vietnamese T&A context. Future research, therefore, may be expanded to other regions or countries' T&A industry. Additionally, future step to this study may be the utilization of other techniques of MCDM or methodological approaches like multiple regression, PLSSEM in defining weights of criteria or performance evaluation.

• 한국정보시스템학회지:정보시스템연구
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• 제12권2호
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• pp.57-72
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• 2003

The purpose of this paper is to propose the modeling of multiagent based SCM and implement the prototype in the Internet environment. SCM process follows the supply chain operations reference (SCOR) model which has been suggested by Supply Chain Counsil. SCOR model has been positioned to become the industry standard for describing and improving operational process in SCM. Five basic processes, plan, source, matte, deliver and return are defined in the SCOR model, through which a company establishes its supply chain competitive objectives. A supply chain is a world wide network of suppliers, factories, warehouses, distribution centers and retailers through which raw materials are acquired, transformed or manufactured and delivered to customers by autonomous or semiautonomous process. With the pressure from the higher standard of customer compliance, a frequent model change, product complexity and globalization, the combination of supply chain process with an advanced infrastructure in terms of multiagent systems have been highly required. Since SCM is fundamentally concerned with coherence among multiple decision makers, a multiagent framework based on explicit communication between constituent agents such as suppliers, manufacturers, and distributors is a natural choice. Multiagent framework is defined to perform different activities within a supply chain. Dynamic and changing functions of supply chain can be dealt with multi-agent by cooperating with other agents. In the areas of inventory management, remote diagnostics, communications with field workers, order fulfillment including tracking and monitoring, stock visibility, real-time shop floor data collection, asset tracking and warehousing, customer-centric supply chain can be applied and implemented utilizing multiagent. In this paper, for the order processing event between the buyer and seller relationship, multiagent were defined corresponding to the SCOR process. A prototype system was developed and implemented on the actual TCP/IP environment for the purchase order processing event. The implementation result assures that multiagent based SCM enhances the speed, visibility, proactiveness and responsiveness of activities in the supply chain.

• Industrial Engineering and Management Systems
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• 제14권2호
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• pp.129-158
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• 2015

It is necessary for retailers to determine the optimal ordering policy of products considering supply disruptions due to a natural disaster and a production process failure as quality and machine breakdowns. Under the situation, a dualsourcing supply chain (DSSC) is one of effective SC for retailers to order products reliably. This paper proposes the optimal ordering policy of a product in a DSSC with a retailer and two manufacturers. Two manufacturers may face supply disruptions due to a natural disater and a production process failure after they received the retailer's order of products. Here, two scenarios of demand information of products are assumed: (i) the demand distribution is known (ii) mean and variance of the demand are known. Under above situations, two types of DSSC are discussed. Under a decentralized DSSC (DSC), a retailer determines the optimal ordering policy to maximize his/her total expected profit. Under the integrated DSSC (ISC), the optimal ordering policy is determined to maximize the whole system's total expected profit. Numerical analysis investigates how demand information and supply disruptions affect the optimal decisions under DSC and ISC. Besides, profitability of supply chain coordination adjusting the wholesale price is evaluated to encourage the optimal decision under ISC.

• 디지털융복합연구
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• 제11권3호
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• pp.243-253
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• 2013

극심해지는 경쟁 환경 속에서 경쟁우위 확보를 위하여 SCM을 도입하는 기업들이 증가하고 있다. 공급망 프로세스의 복잡성과 SCM 도입에 투입되는 막대한 기업 자원을 감안할 때 성공적인 SCM 구축을 위해서는 자사의 공급망 수준에 대한 정확한 진단을 통해 취약점 및 개선점을 파악하는 것이 필수적이라 할 수 있다. 본 논문에서는 SCM 성과 측정지표에 관한 선행 연구를 살펴보고 대표적인 ETO 산업인 조선업을 대상으로 업종의 특성에 맞는 공급망 수준진단 프레임워크를 제안한다. 특히 가트너에서 제안한 공급망의 주요 3개 프로세스인 수요, 공급, 제품 관리를 기준으로 조선소의 공급망 프로세스를 세부 프로세스로 분해하고, 분해된 각 프로세스 별로 공급망 수준을 진단할 수 있는 측정지표를 제안한다. 또한 사례 연구를 통하여 제안된 공급망 수준진단 프레임워크를 실제 조선소의 공급망에 적용해 보고, 현실적 의미를 도출해 본다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.262-269
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• 2003

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involved reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constructs. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model computational experiments using a commercial genetic algorithm based optimizer. The results show that the real size problems we encountered can be solved In reasonable time

• 대한안전경영과학회지
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• 제3권1호
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• pp.45-56
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• 2001

In the supply chain, The ATP function doesn't only give customers to confirmation 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 acquire the conformation about accuracy on the due date of supplier by using the ATP function of management about real and concurrent access on the supply chain, also can decide the affect about product availability due to forecasting or customer's orders through the ATP. This study analyze the data concerned with ATP and define the necessity on a SCM solution. Under the these environments, after defining the ATP rule that can improve the customer value and data flow related the CRM, we propose the advanced ATP model that proposes the method and classification system that can flexibly aggregate the ATP data with ATP rule on the supply chain.