When considering military operations that require rapid response time, forward supply operation of various type of ammunition is essential. Also, t is necessary to supply ammunition in a timely manner before an ammunition shortage situation occurs. In this study, we propose a mathematical model for allocation of ammunition to ammunition storehouse at the Ammunition Supply Post (ASP). The model has several objectives. First, it ensures that the frequent used ammunition is stored in a distributed manner at a high workability ammunition storehouses. Second, infrequent used ammunition is required to be stored intensively at a single storehouse as much as possible. Third, capacity of the storehouse and compatible storage restriction required to be obeyed. Lastly, criticality of ammunition should be considered to ensure safety distance. We propose an algorithm to find the pareto-based optimal solution using the mathematical model in a reasonable computation time. The computational results show that the suggested model and algorithm can solve the real operational scale of the allocation problem.
본 연구는 호텔에서 방 예약을 받는 시스템에서, 전술적으로 방의 등급을 정해 예약을 받는 방 배정 문제에서, 효과적인 절차를 총 수익에 관련되는 여러 가지 요소들을 고려하여, 총 수익을 최대화하는 알고리즘을 개발하였다. 이익을 최대화하고, 자원들의 효과적인 배분을 위해서 먼저 시장의 차별화가 어떻게 다르게 형성되는가를 분석하고, 이 결과를 전략적인 계층 방 분배 문제를 해결하는 데에 적용하였다. 하룻밤을 지내는 손님을 위한 예약에서는 동적인 모델링(
In this paper, we consider a planning problem arising from printed circuit board manufacturing industries. Given a set of several types of PCBs, component feeders and surface mounting machines in series in a PCB assembly line, the problem is to define t
In this paper we develop an efficient procedure for solving the tactical-level room allocation problem for hotel industry by incorporating other sources of revenue into overall Revenue Management (RM) system. To maximize profits and allocate wisely available resources, first, determine how different market segments contributed. And apply this to an efficient procedure for solving tactical-level room allocation problem for the hotel industry by combining the dynamic model for handling single-night reservation requests and the static model for handling multi-night reservation requests.