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박양병(Yang Byung Park),장원준(Won Jun Jang),박해수(Hae Soo Park) 한국산업경영시스템학회 2011 한국산업경영시스템학회지 Vol.34 No.4
The operation of vending machine system presents a decision-making problem which consists of determining the product allocation to vending-machine storage compartments, replenishment intervals of vending machines, and vehicle routes, all of which have critical effects on system profit. Especially, it becomes more difficult to determine the operation variables optimally when demand for a product that is out-of-stock spills over to another product or is lost. In this paper, we propose a heuristic for solving the operation problem of the vending machine system and evaluate it by comparing with Yang’s algorithm on various test problems with respect to system profit via a computer simulation. The results of computational experiments show a substantial profit increase of the proposed heuristic over Yang’s algorithm. Sensitivity analysis indicates that some input variables impact the profit increase significantly.
컴퓨터 시뮬레이션을 이용한 불확실성 하 다수기간 재고품목 소매점 공급사슬의 리스크 분석
박양병(Yang Byung Park),윤성준(Sung Joon Yoon) 한국SCM학회 2011 한국SCM학회지 Vol.11 No.1
Managing risk has become a critical component of supply chain management as the vulnerability of supply chains increases. Because a stochastic modeling approach is very intricate and regarded as computationally intractable, many existing models utilize a mean value approach to determine the optimal solutions for supply chain management in the presence of uncertainty. In this paper, we perform a risk analysis for the retail supply chain of a multi-period inventory product under uncertainty using a computer simulation when the distribution plan determined by utilizing a mean value approach is applied. An integer linear mathematical model is constructed for the distribution plan. Three types of risk measures are employed: standard deviation ratio, probabilistic financial index, and variability index. The results of the analysis show the variation of the risk measures as the uncertainty of the variables are changed and suggest the preferential priority of uncertain variables which should be taken into account under a limited resource.