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Construction material safety-stock determination under nonstationary stochastic demand and random supply yield

机译:非平稳随机需求和随机供应收益下的建筑材料安全库存确定

摘要

Nonstationary stochastic demand and random supply yield have led to a great challenge in construction material management. Appropriate safety stocks can cope with uncertainty in both demand and supply yield, and improve the construction cost and productivity significantly. But the safety stock is usually determined by planner's experience or rough evaluation in management practice, which results in overstock or understock situations frequently. For changing this situation, this paper focuses on analysis of the stochastic inventory control problem of construction material, and develops a general safety-stock determination approach under nonstationary stochastic demand and random supply yield. Based on the linear-order release rule and modified base-stock definition, the inventory balance equation is developed. Then, a coverage random variable, which incorporates the complete information of outstanding orders, is defined to represent the outflows and inflows to stock over risk periods. Meanwhile, the fixed-point iteration method is adopted to calculate the time-varying safety-stock level under predefined service-level (nonstockout probability) constraint. Finally, a numerical analysis is conducted to investigate the relative performance of the proposed safety-stock approach and days of supply rule. The result demonstrates a considerable service improvement and inventory decrease of the safety-stock approach.
机译:非平稳的随机需求和随机的供应产量已导致建筑材料管理的巨大挑战。适当的安全库存可以应对需求和供应量的不确定性,并显着提高建筑成本和生产率。但是,安全库存通常由计划者的经验或管理实践中的粗略评估来确定,这经常导致库存过剩或库存不足的情况。为了改变这种情况,本文着重分析建筑材料的随机库存控制问题,并开发了一种基于非平稳随机需求和随机供应收益的通用安全库存确定方法。基于线性订单释放规则和修改后的基本库存定义,开发了库存平衡方程。然后,定义一个覆盖随机变量,其中包含未完成订单的完整信息,以表示风险期内库存的流入和流出。同时,采用定点迭代法在预定服务水平(无缺货概率)约束下计算时变安全库存水平。最后,进行了数值分析,以研究建议的安全库存方法的相对性能和供应规则的天数。结果表明,安全库存方法显着改善了服务,减少了库存。

著录项

  • 作者

    Lu H; Wang H; Xie Y; Li H;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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