Recently, a multi-facility, multi-product and multi-period industrial production-distribution planning problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. We have developed an optimization model to tackle the above problems under the restricted conditions such as transportation time and a zero inventory. Computational experiments using commercial tool Ms-Excel Solver show that the real size problems we encountered can be solved in reasonable time. The model can be used to decide an appropriate production-distribution planning problem in SCM research area.

This research fundamentally deals with an analysis of service level for a multi-level inventory distribution system which is consisted of a central distribution center and several branches being supplied stocks from the distribution center, Under continuous review policy, the distribution center places an order for planned order quantity to an outside supplier, and the order quantity is received after a certain lead time. Also, each branch places an order for particular quantity to its distribution center, and receives the order quantity after a lead time. In most practical distribution environment, demands and lead times are generally not fixed or constant, but variable. And these variabilities make the analysis more complicated. Thus, the main objective of this research is to suggest a method to compute the service level at each depot, that is, the distribution center and each branch with variable demands and variable lead times. Further, the model will give an idea to keep the proper level of safety stocks that can attain effective or expected service level for each depot

본 연구는 면적이 작은 도시유역에 적용하기 위한 강우의 시간분포방법을 제안하였다. 이를 위하여 유역의 특성을 고려한 Interevent Time Definition(ETD) 결정방법과 3시간 미만의 강우를 포함한 무차원 누가우량곡선을 제안하였다. 새롭게 제시된 IETD 결정방법은 호우 사상의 종료 시점으로부터 직접유출의 종료 시점까지의 기간을 IETD로 정의하였다. 제안된 IETD 결정방법을 사용하여 중랑 배수구역에 대한 면적-IETD 관계곡선을 유도하