At present, the entire globe gets engaged in importing and exporting the products for promoting their business in which supply chain management is playing a vital role. The main aspect of any effective supply chain management is the transportation of cargoes. To avoid the damages of cargoes during transportation and for minimizing the cost, the returnable containers are used. The present research deals with an inventory model of Non-Vessel Operating Common Carrier (NVOCC) for returnable containers with price dependent demand under fuzzy environment. In this study, it is presumed that the import of cargoes is less than the export. The Empty Container Repositioning (ECR) and the leasing options are utilized to replace the deficit containers which prevent shortages. The proportion of the used containers returned, the proportion of the repositioned containers and the fraction of repairable from the returned containers are considered as Triangular Fuzzy Numbers [TFNs]. Fuzzy inventory model is framed for the purpose of attaining optimal length of the screening, the repositioning cycle and the leasing cycle which are used to minimize the expected total cost and the proposed model is illustrated with the numerical example. The sensitivity analysis is performed to show the effect of fuzziness of return rate, repositioning rate and repairable percentage along with the changes in parameters.

目前，全球参与进出口产品以促进其业务，其中供应链管理起着至关重要的作用。任何有效的供应链管理的主要方面是货物的运输。为了避免在运输过程中损坏货物并最小化成本，使用了可回收的集装箱。本研究研究了在模糊环境下具有价格依赖性需求的可回收集装箱的非船运通用运输船（NVOCC）库存模型。在这项研究中，假定货物的进口少于出口。使用空容器重新安置（ECR）和租赁选项来替换不足的容器，以防止短缺。返回使用过的容器的比例，重新放置的容器所占的比例以及从返回的容器中得到的可修复容器的比例被视为三角模糊数[TFNs]。为了获得最佳的筛选长度，重新定位周期和租赁周期，设计了模糊的库存模型，以最小化预期的总成本，并通过数值示例说明了所提出的模型。进行敏感性分析以显示返回率，重新定位率和可修复百分比的模糊性以及参数变化的影响。通过重新定位周期和租赁周期来最大程度地减少预期总成本，并通过数值示例说明了所提出的模型。进行敏感性分析以显示返回率，重新定位率和可修复百分比的模糊性以及参数变化的影响。通过重新定位周期和租赁周期来最大程度地减少预期总成本，并通过数值示例说明了所提出的模型。进行敏感性分析以显示返回率，重新定位率和可修复百分比的模糊性以及参数变化的影响。