Unmanned-aerial-vehicle (UAV)-assisted data collection has been emerging as a prominent application due to its flexibility, mobility, and low operational cost. However, under the dynamic uncertainty of Internet Things energy replenishment processes, optimizing performance for UAV collectors is very challenging task. Thus, this article introduces novel framework that jointly optimizes flying spe...

The joint replenishment problem has been extensively studied and the strategy adopted by a large variety of retailers in recent years. However, under minimum order quantity other constraints does not receive sufficient attention. This paper analyzes retailing supply chain involving supplier that provides discount schedules limits quantity. include requirements for each item as to total quantity...

T such as radio-frequency identification and global positioning systems can provide improved real-time tracking information for products and replenishment orders along the supply chain. We call this type of visibility order progress information. In this paper, we investigate how order progress information can be used to improve inventory replenishment decisions. To this end, we examine a retail...

In this research, we deal with VMI (Vendor Managed Inventory) problem where one supplier is responsible for managing a retailer’s inventory under unstable customer demand situation. To cope with the nonstationary demand situation, we develop a retrospective action-reward learning model, a kind of reinforcement learning techniques, which is faster in learning than conventional action-reward lear...

This paper presents a multi-product multi-period inventory problem with random replenishment intervals and fuzzy costs under space and shortage level constraints. Since the costs (purchasing, holding and backordering) related to inventory system are often imprecise and the replenishment intervals are random in real life, the proposed model is also fuzzy-random Here, the replenishment intervals ...

In this paper, we study the location routing problem with replenishment facilities (LRPRF), an extension of the location routing problem (LRP) where the vehicles can replenish at some replenishment facilities. Vehicles leave the depot with load on-board, serve customers until out of load, and then either return to a replenishment facility to reload or return to the depot, completing their route...

This paper considers the ranking of alternative replenishment policies for a single-location inventory when customer demand is con"ned to a single product. It is supposed that customer demand is uncertain and described by imprecise linguistic terms de"ned by fuzzy sets. For example, `demand is about da, or `demand is more or less between d and d a, or more complex `demand is about d, but there ...