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Managing Logistics in Regional Banknote Supply Chain Under Security Concerns

机译:在安全问题下管理区域纸币供应链中的物流

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摘要

We study the logistics problem faced by Regional Branches (RBs) of a central bank in managing the currency supply under security concerns. While making banknote supply decisions to Sub-Branches (SBs), the management of RB must achieve two goals simultaneously: (i) guarantee that each SB has sufficient inventories of all denominations of banknotes to satisfy the demands from all commercial banks within its service area, and (ii) control the annual spending on this banknote supply operation. Due to security concerns, the following methods are implemented in the process of transporting banknotes: (i) the capacity of a cash truck is limited by the total face value (instead of the physical space) of banknotes, and (ii) empty decoy trucks are deployed along with the trucks filled with banknotes. After deriving a polynomial- time strategy to guarantee an optimal solution for the special Bin-Packing Problem faced in this study, we provide an exact formulation for the RB's supply planning problem. We also propose several polynomial-time algorithms for deriving either optimal or near-optimal solutions for the problem under different settings. Using the weekly demand data obtained from the central bank, we verify the performance of our algorithms, and analyze the impacts of changes in these features and in the fleet capacity on the total cost incurred by an RB under various scenarios.
机译:我们研究了中央银行区域分支机构(RB)在安全问题下管理货币供应时面临的物流问题。在决定向支行(SB)提供纸币时,RB的管理层必须同时实现两个目标:(i)确保每个SB有足够的所有纸币面额的库存,以满足其服务范围内所有商业银行的需求,以及(ii)控制该纸币供应业务的年度支出。出于安全考虑,在运输纸币的过程中采用了以下方法:(i)现金卡车的容量受到纸币总面值(而非物理空间)的限制,并且(ii)空的诱饵卡车与装满钞票的卡车一起部署。在得出多项式时间策略以保证针对本研究中遇到的特殊装箱问题的最佳解决方案之后,我们为RB的供应计划问题提供了精确的公式。我们还提出了几种多项式时间算法,用于在不同设置下得出问题的最优解或接近最优解。使用从中央银行获得的每周需求数据,我们验证了算法的性能,并分析了这些功能和机队容量变化对RB在各种情况下产生的总成本的影响。

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