• 한국경영과학회지
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• 제33권4호
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• pp.13-30
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• 2008

We explore the determinants of long-term relationship between the buyer and the supplier to help suppliers develope a strategy to build long-term relationship with their buyers. Based upon an extensive literature review, we propose three droops of independent variables which may affect long-term relationship, including (a) environmental factors (product complexity, product importance, source dependence, price sensitivity), (b) relational factors(trust, commitment, satisfaction, intention of expansion), (c) operational performance(quality, delivery, cost capability, technical knowhow). The buyer's actual period of relationship with its main supplier is used as a dependent variable. Using hierarchical multiple regression analysis, we empirically test hypotheses, analysing a sample of 290 manufacturing firms in the U.S. The statistical results indicate that the buyer's source dependence, price sensitivity and the supplier's commitment play a significant role in establishing long-term relationship between the buyer and the supplier. However, the supplier's cost capability and technical knowhow in operational performance negatively affect long-term relationship in contrast with our hypotheses. Due to this controversial result, we divide the sample group Into dual sourcing and multiple sourcing environments and reconduct regression analysis in a post hoc manner. The findings show that the supplier's cost capability and technical knowhow are negatively associated with the length of relationship only in the multiple sourcing environment. The results may confirm that both parties' opportunistic behavior is more salient in the multiple sourcing environment than in the single sourcing environment.

• 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.

• 한국국방경영분석학회지
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• 제35권2호
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• pp.87-98
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• 2009

최근 군(軍) 물류 분야에서 3PL(3rd Party Logistics), 4PL과 같은 아웃소싱이 중요한 아젠다로 부각되고 있다. 하지만, 3PL을 성급하게 군 물류 분야에 적용시, 전시 전투력 저하, 정보 보안 취약성, 3PL 업체의 재하청(Sub-contract)에 따른 질적 저하, 규모의 경제에 미달하는 군내 소랑 조달에 따른 원가 상승 압력 등의 부작용 우려가 있다. 최근 미국, 영국과 같은 선진국에서는 이런 부작용을 보완하고자, 민간 부문과의 상호 보완적 협력 관계를 통한 민 관 경쟁 위탁(private-public competitive sourcing) 개념이 발전하고 있다. 이 개념이 우리 군(軍) 물류 분야에 적용되기 위해서는 군과 민간이 합리적으로 경쟁할 수 있는 군 수송 분야의 재정비와 효율화가 선제적으로 요구된다. 따라서 이 연구는 군 물류 표준화 5개 분야중 수송 분야에 중점을 두어 파렛트 규격 복수화 방안 (T11,T12) 시행에 따른 PLS(Palletized Load System) 트럭 적용 개선 방안 및 모형을 제시한 후, 사단급 부대 사례 분석을 통하여 계량화된 개선 효과를 분석하였다.

• 한국경영과학회지
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• 제32권1호
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• pp.93-104
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• 2007

We consider a supply chain where products are shipped to warehouse from manufacturing system to customers. Products are supplied from either in-house regular manufacturing or the secondary source such as subcontractor. The inventory in warehouse is controlled by base-stock policy, that is, whenever a demand arrives from customer, an order is released to the manufacturing system. Unsatisfied demand is backlogged. The manufacturing system is modeled as M/M/s+1/c queueing system, and the orders exceeding the given limit care blocked and lost. The steady state distribution of the outstanding orders and the throughput of the manufacturing system are functions of the level of engagement In the secondary source. There is a profit obtained from throughput and cost not only due to the engagement of the secondary source in the manufacturing system but also inventory positions. We want to maximize the total production profit minus the total cost of the production system by simultaneously determining the optimal level of engagement of the secondary source and the optimal base-stock level of the inventory. We develop two algorithms : one without guarantee of the optimal solution but with the small number of computations, the other optimal but with more computations.