• Industrial Engineering and Management Systems
• /
• 제12권3호
• /
• pp.224-233
• /
• 2013

In supply chain management, the supply contract can induce collaboration and coordination among the supply chain members in order to optimize supply chain performance. Numerous supply contracts have been examined; however, some difficulties related to the application of these contracts still occur. One of the solutions is to apply the composite supply contract which can assist in the supply chain coordination. This research examines the composite contract of the revenue sharing and quantity flexibility contracts in a two-stage supply chain, which comprises a retailer and a supplier. In this research, a mathematical model of the composite contract is developed; then, the applicability of the proposed composite contract is examined by investigating its capability in terms of supply chain coordination and profit allocation. In the numerical experiments, the composite revenue sharing-quantity flexibility contract showed that it is superior to both component contracts in terms of supply chain coordination and profit allocation among supply chain members.

• 유통과학연구
• /
• 제15권2호
• /
• pp.91-100
• /
• 2017

Purpose - Domestic franchise market has been grown steadily, reaching 50 trillion won in sales and 3,360 franchise headquarters in 2014. A franchise system is an effective business system for the franchisees to lower the failure rate due to the fact that the inexperienced entrepreneurs are supported by their headquarters through the franchisee contract. However, there are also conflicts between franchiser and franchisee behind the quantitative growth of domestic franchise industry. Therefore, it is very important to structure the causes of conflicts and to examine the effect of factors on the relationship commitment and performances. Research design, data, and methodology - In this study, the author divides the composite incompatibility between the franchise and the franchisee into goal incongruity, domain dissensus, and perceptual differences, and examines each dimension to the relationship with commitment and performances. To verify the proposed research model and test hypotheses, the author selected 200 franchise responses in food and beverage industry. The data were analyzed using SPSS 18.0 and AMOS structural equation modeling program. Results - The empirical findings provide goal incongruity and perceptual differences have a negative effect on the affective commitment, but not the calculative commitment. In addition, affective commitment and calculative commitment are found to have a positive effect on re-contractual intention and extended brand shop running intention, respectively. Affective commitment have a stronger effect on re-contractual intention than calculative commitment. Conclusions - First of all, the fact that goal incongruity and perceptual differences negatively affect the affective commitment, but it does not affect the calculative commitment. It means the relationship commitment in distribution channel are multi-dimensional concept that may be attributed to emotional or affective dimensions but may exist in terms of necessity or power-dependence. Second, the level of relationship commitment such as affective and calculative commitment to franchise headquarters positively affects the re-contractual intention and franchiser's extend brand shop running intention suggest that franchiser should encourage and support existing franchisee's commitment. Third, the fact that affective commitment has a greater effect on relationship performance than calculative commitment means to induce franchisee's affective commitment and to prevent the inconsistency between goals and perceptual differences.

• Journal of Mechanical Science and Technology
• /
• 제15권7호
• /
• pp.876-888
• /
• 2001

For a large scaled optimization based on response surface methods, an efficient quadratic approximation method is presented in the context of the trust region model management strategy. If the number of design variables is η, the proposed method requires only 2η+1 design points for one approximation, which are a center point and tow additional axial points within a systematically adjusted trust region. These design points are used to uniquely determine the main effect terms such as the linear and quadratic regression coefficients. A quasi-Newton formula then uses these linear and quadratic coefficients to progressively update the two-factor interaction effect terms as the sequential approximate optimization progresses. In order to show the numerical performance of the proposed method, a typical unconstrained optimization problem and two dynamic response optimization problems with multiple objective are solved. Finally, their optimization results compared with those of the central composite designs (CCD) or the over-determined D-optimality criterion show that the proposed method gives more efficient results than others.

• 스마트미디어저널
• /
• 제11권3호
• /
• pp.62-73
• /
• 2022

국내 아파트 매매가 예측에 관한 연구는 현재까지 지속적으로 수행되어 왔지만, 아파트 가격은 다양한 특성이 복합적으로 작용하기 때문에 예측하는데 어려움을 겪고 있다. 아파트 매매가를 예측하는데 앞서 정확도를 높이기 위해서는 주요 변수 선정 및 영향요인 분석이 무엇보다 중요하다. 이에 본 연구는 현재 꾸준한 상승률을 보이는 광주광역시를 대상으로 아파트 매매가에 영향을 주는 요인을 분석해보고자 한다. 이를 위해 6년간의 광주광역시 아파트 실거래가와 각종 사회적 요인 데이터를 토대로, 다중회귀분석, 랜덤 포레스트, 심층인공신경망 알고리즘을 적용하여 각 모델에서 주요 영향요인을 파악하였으며, 모델의 성능은 평균 제곱근 오차, 평균 절대 오차 그리고 결정계수를 통해 비교 분석하였다. 본 연구에서는 딥러닝의 일종인 심층인공신경망의 성능이 가장 우수함을 보였고, 매매가에 영향을 미치는 주요 요인으로 건축경과연수, 계약연도, 적용면적, 양도성예금증서, 주택담보대출금리, 선행지수, 생산자물가지수, 동행지수 등이 도출되었다.