• 산업공학
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• 제13권3호
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• pp.320-327
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• 2000

In this research report, we consider multi stage supply chain optimization modeling techniques, and propose a new integrated model. The stages that are normally associated with a supply chain include procurement, production and distribution. In general, there are two distinct set of approaches which manage whole supply chain. One approach is the plant decision and subsequently distribution and inventory decision while the second approach is to address all decisions simultaneously through the integrated model. First, we present a survey of existing models that are treated by independently. And then, we propose an integrated model that is in a moderate size and easy to implement in practice. Finally, we address possible solution methodologies and present some computational test results using CPLEX to see the computational burden from which new algorithmic insight might be come up.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.14-20
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• 2003

Supply chain is the link that moves products between suppliers, manufactures, wholesalers, distribution, retailers and ended consumers. Supply chain management(SCM) is a way to supervise the flow of products, materials and information as they move along the supply chain. In the recent years, Most of the companies are in a hurry the introduction of SCM to obtain international competitiveness. The goal of SCM is to optimize the supply chain, which can not only reduce inventories, but may also create a higher profit margin for finished goods by giving customers exactly what they want. There are four major decision areas (location, production, inventory, transportation) in supply chain management, and there are both strategic and operational elements in each of these decision areas. This paper is concerned with the integrated production planning problem including not only the production cost but also the transportation cost in supply chains, and an efficient algorithm using genetic algorithm and quickest path method is presented to solve the problem.

• 한국경영과학회지
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• 제39권2호
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• pp.97-109
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• 2014

This paper considers a reverse supply chain with simultaneous recovery of used products and manufacturing of brand-new ones. Recovered products are downgraded and have to be sold in a market different from that of brand-new products at a different price. In case of a shortage of recovered product inventory, a brand-new item, if available, can be offered at the price of a recovered product. In other words, one-way demand substitution is allowed. We address the joint decision of when to manufacture brand-new product, when to recover returned product, and how to control demand substitution to maximize the hybrid production system's profits. To this end, we propose a Markov decision Process model and investigate the structure of the optimal policy. Performance comparison is numerically implemented between the models with and without downward demand substitution option under different operating conditions of the system parameters.

• 산업경영시스템학회지
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• 제30권4호
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• pp.103-110
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• 2007

The facility location in designing a supply chain network is an important decision problem that gives form, structure, and shape to the entire supply chain system. Location problems involve determining the location, number, and size of the facilities to be used. The optimization of these location decisions requires careful attention to the inherent trade-offs among service time, inventory costs, facility cost, transportation costs. This paper presents a strategy that provides the best locations of distribution centers using GIS(Geographical Information System) assuming the limitation of delivery time. To get the best strategy of the location of distribution centers, we use the new loss functions as a penalty when the delivery time is violated

• 한국산학기술학회논문지
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• 제18권2호
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• pp.568-575
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• 2017

본 연구의 목적은 유아의 용기와 의사결정력, 행복감과 의사결정력의 상관관계를 분석하고, 용기가 행복감에 미치는 영향에 있어 의사결정력이 가지는 매개효과를 규명하는 것이다. 본 연구에서는 S와 G지역 사립 유치원에 재원 중인 만 5세 유아 220명(남아 112명, 여아 108명)을 연구대상으로 선정하였다. 유아의 용기, 행복감과 의사결정력을 측정하기 위해 박찬옥, 이은영(2011)의 교사용 유아 용기 척도, 박지영(2012)의 교사용 유아 의사결정력 측정도구, 김도란(2008)의 행복감 측정 도구를 활용하여 설문조사를 실시하였다. 본 연구에서 수집된 자료는 SPSS 21.0 프로그램으로 Pearson의 상관관계분석과 회귀분석, 그리고 Sobel test를 실시하여 분석하였다. 연구결과는 첫째, 유아의 용기와 행복감, 용기와 의사결정력, 행복감과 의사결정력은 각각의 변인 간에 유의미한 정적 상관관계가 있는 것으로 나타났다. 둘째, 유아의 용기는 행복감을 의미 있게 예측하는 변인으로 나타났으며, 이 과정에서 의사결정력이 매개효과를 갖는 것으로 나타났다. 이러한 결과는 유아의 행복감을 높이기 위한 교육적 지원이 필요함을 시사하고 있다. 즉, 용기 및 의사결정력을 지원하는 교육 프로그램의 실행이 지원되어야 한다.

• 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.

• 한국의류산업학회지
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• 제23권4호
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.311-314
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• 2005

Supply chain optimization is one of the most important components in the optimization of a company's value chain. This paper considers the problem of designing the supply chain for a product that is represented as an assembly bill of material (BOM). In this problem we are required to identify the locations at which different components of the product arc are produced/assembled. The objective is to minimize the overall cost, which comprises production, inventory holding and transportation costs. We assume that production locations are known and that the inventory policy is a base stock policy. We first formulate the problem as a 0-1 nonlinear integer programming model and show that it can be reformulated as a 0-1 linear integer programming model with an exponential number of decision variables.

• 한국지하수토양환경학회지:지하수토양환경
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• 제15권6호
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• pp.64-71
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• 2010

National inventory of soil and groundwater contamination is an efficient decision-making tool to identify and manage existing or potential contaminated sources and contaminants. It has been used as basic data for establishing the scheme of regulations and remediation plans of soil and groundwater contamination in developed countries. This study examined classification of existing or potential sources of soil and groundwater contamination from various countries to suggest implications that required for development of classification of soil and groundwater contamination sources in Korea. Each country has provided a list of currently or potentially contaminating activities or landuses and identified some of the potential contaminants related to those contamination sources. Consideration of sources which had not been mentioned or regarded as contamination sources before was suggested for Korea situation. In addition, it is necessary to compile a list of existing data and information as much as possible to develop a detailed and practical list of various contamination sources.

• 한국전자거래학회지
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• 제19권1호
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• pp.1-14
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• 2014

본 논문의 목적은 재고관리를 위한 RFID 시스템을 도입하는데 있어서 적합한 비용을 산출하여 경제성을 평가하고, SCM 환경에서 생산시점 재고관리 모형을 설계하는 것이다. 경제성 분석은 변화하는 태그의 가격에 따른 총 생산 순이익을 기준으로 하였으며, 초기투자가 필요한 시스템에 적용될 수 있게 결정 모델을 설정하였다. 재고관리 시스템은 900MHz 대역의 수동형 태그를 사용하는 RFID 리더와 4개의 안테나를 이용하여 구현하였다. 그 결과 태그가격의 한계치 설정에 따른 구현 시스템의 도입을 결정하는 도구를 개발하였으며, 안테나의 방향성 있는 배치에 의해서 성공적인 재고관리 시스템을 설계하였다.