工业工程
工業工程
공업공정
Industrial Engineering Journal
2007年
5期
40~45
,共null页
DVD在线租赁 保有量 租赁周期 概率模型
DVD在線租賃 保有量 租賃週期 概率模型
DVD재선조임 보유량 조임주기 개솔모형
DVD online leasing; keeping quantity; leasing period; probability model
考虑到客户租赁DVD的具体时刻和租赁时长的概率分布,并根据其相互关联关系,对其概率分布进行修正。在对租赁过程进行详细分析的基础上,得到了保有量与DVD租赁周期的公式,建立了保有量的概率模型,根据实际数据和相关参数可以得出具体问题的数值解。此外,对不同周期下的DVD保有量进行了测算,并对不同周期分布、不同时间跨度下的保有量进行了分析。对于给定定单租赁的优化问题,建立了具有现有存量限制条件下的0-1规划模型,并运用L ingo软件对问题进行了求解。对于给定定单的情况下的保有量优化问题,在没有限制存量的条件下,可以根据每份定单分别充分满足贪婪策略,得到用户满意度最大的DVD租赁的日需求量,进而给出日定单的保有量最优策略和满足给定用户群的分配策略。
攷慮到客戶租賃DVD的具體時刻和租賃時長的概率分佈,併根據其相互關聯關繫,對其概率分佈進行脩正。在對租賃過程進行詳細分析的基礎上,得到瞭保有量與DVD租賃週期的公式,建立瞭保有量的概率模型,根據實際數據和相關參數可以得齣具體問題的數值解。此外,對不同週期下的DVD保有量進行瞭測算,併對不同週期分佈、不同時間跨度下的保有量進行瞭分析。對于給定定單租賃的優化問題,建立瞭具有現有存量限製條件下的0-1規劃模型,併運用L ingo軟件對問題進行瞭求解。對于給定定單的情況下的保有量優化問題,在沒有限製存量的條件下,可以根據每份定單分彆充分滿足貪婪策略,得到用戶滿意度最大的DVD租賃的日需求量,進而給齣日定單的保有量最優策略和滿足給定用戶群的分配策略。
고필도객호조임DVD적구체시각화조임시장적개솔분포,병근거기상호관련관계,대기개솔분포진행수정。재대조임과정진행상세분석적기출상,득도료보유량여DVD조임주기적공식,건립료보유량적개솔모형,근거실제수거화상관삼수가이득출구체문제적수치해。차외,대불동주기하적DVD보유량진행료측산,병대불동주기분포、불동시간과도하적보유량진행료분석。대우급정정단조임적우화문제,건립료구유현유존량한제조건하적0-1규화모형,병운용L ingo연건대문제진행료구해。대우급정정단적정황하적보유량우화문제,재몰유한제존량적조건하,가이근거매빈정단분별충분만족탐람책략,득도용호만의도최대적DVD조임적일수구량,진이급출일정단적보유량최우책략화만족급정용호군적분배책략。
According to the relationship between the specific leasing time and period of customers, the probability distributions for them are justified. On the basis of the detailed analysis of leasing process, the formula representing the relationship between storing quantity and leasing period is given, and the probability distribution model for storing quantity is developed as well. The numerical solution is obtained with the data and parameters given in the instance. The keeping quantity with different period distribution and time span are analyzed. Aiming at the optimization problem with given orders, a 0 - 1 programming model with the restriction on current storing quantity is established and solved with the help of the software Lingo. When it comes to the optimization problem of keeping quantity with given orders, on the condition that the keeping quantity is not restricted, the daily demanding quantity that can maximize satisfaction degree of customers is obtained by making each order meet greedy strategy sufficiently, and the optimization strategy for storing quantity and distributing option satisfying given customer group can be gotten accordingly.