CAJ | 학술논문

针对不确定市场需求条件下第三方仓储资源的能力规划与分配问题，构建随机数学规划模型，理论分析证明了最优资源分配量的存在性，并指出最优资源分配量是单位资源成本的递减函数、单位资源收益和单位损失成本的递增函数。鉴于解析求解的复杂性，基于收益管理思想，结合离散事件仿真技术和响应曲面法，提出一种新的分析求解框架：收益管理用于细分顾客、构建资源分配策略，仿真模型刻画系统随机特性并评估系统绩效指标，响应曲面法则优化分配策略并探寻绩效改进方向。案例研究和仿真实验结果显示，根据顾客类别分配仓储能力的策略优于传统的先到先服务策略，收益管理、响应曲面法与仿真的综合集成，能够提高系统收益，从而使本文所提方法体系得到了有效验证。
침대불학정시장수구조건하제삼방창저자원적능력규화여분배문제，구건수궤수학규화모형，이론분석증명료최우자원분배량적존재성，병지출최우자원분배량시단위자원성본적체감함수、단위자원수익화단위손실성본적체증함수。감우해석구해적복잡성，기우수익관리사상，결합리산사건방진기술화향응곡면법，제출일충신적분석구해광가：수익관리용우세분고객、구건자원분배책략，방진모형각화계통수궤특성병평고계통적효지표，향응곡면법칙우화분배책략병탐심적효개진방향。안례연구화방진실험결과현시，근거고객유별분배창저능력적책략우우전통적선도선복무책략，수익관리、향응곡면법여방진적종합집성，능구제고계통수익，종이사본문소제방법체계득도료유효험증。
To solve the capacity design and resource allocation problem at third-party warehousing under uncertain demands, a stochastic mathematical programming model is proposed .It is proved in this paper there exist optimal resource allocation quantities, and the optimal quantity of each class of customer is a decreasing function of unit resource cost, while an increasing function of unit resource revenue and unit lost cost .Because of the complexity for this problem to be solved analytically , a new approach integrating revenue management with discrete-event simulation and response surface methodology is developed .Revenue management is used to implement customer segmentation and construction of resource allocation policies .Simulation is employed to model the stochastic characteristics and evaluate the performance of the system .The optimization of allocation policies and exploration of performance improvement is realized by a statistical experimental technology , response surface methodology . Case study and simulation experiments show that allocating warehousing capacity according to customer segmenta -tion is better than the traditional policy of first come first service , and the combination of revenue management , response surface methodology and simulation can effectively improve system ’ s yield, which validates the approach proposed in this paper.