Abstract
Randomized storage strategy is known as a best practice for storing books of an online bookstore, it simplifies the order picking strategy as to retrieve books in purchase orders from closest locations of the warehouse. However, to be more responsive to customers, many distribution centers have adopted a just-in-time strategy leading to various value-added activities such as kitting, labelling, product or order assembly, customized packaging, or palletization, all of which must be scheduled and integrated in the order-picking process, and this is known as wave planning. In this study, we present a wave planning mathematical model by simultaneously consider: (1) time window from master of schedule (MOS), (2) random storage stock-keeping units (SKUs), and (3) picker-to-order. A conceptual simulation, along with a simplified example for the proposed wave planning algorithm, has been examined to demonstrate the merits of the idea. The result shows the wave planning module can improve the waiting time for truck loading of packages significantly and can reduce the time that packages are heaping in buffer area. The main contribution of this research is to develop a mixed integer programming model that helps the bookseller to generate optimal wave picking lists for a given time window.
Highlights
We suggest looking at an order picking problem from forms and workflow of a warehouse management system (WMS) perspective
Algorithms for generating picking orders are: Rim and Park [22] proposed a linear programming approach to assign the inventory to the orders to maximize the order fill rate, Lu et al [20] developed an algorithm for dynamic order picking that allows for changes to pick-lists during a pick cycle, Füßle and Boysen [18] aimed at a synchronization between the batches of picking orders concurrently assembled and the sequence of stock-keeping units (SKUs) moved along the line, such that the number of lines passing to be accomplished by the picker is minimized, Giannikas et al [9] introduced an interventionist order picking strategy that aims to improve the responsiveness of order picking systems, Ho and Lin [15]
We present a wave planning mathematic model by integrating order picking with packing planning and scheduling by simultaneously consider three major factors: (1) by time window packing planning and scheduling by simultaneously consider three major factors: (1) by time window from master of schedule (MOS), (2) random storage SKUs, and (3) picker-to-box
Summary
Randomized storage is a storage assignment strategy which determines how an item can be stored in any empty location in a warehouse. One stock keeping unit (SKU) could be stored in several different locations, and the advantage of this strategy is to exploit spaces more efficiently. Randomized storage strategy is especially suitable for storing books of an online bookstore. Customers like to make multiple purchases in a single order to eliminate shipping cost. By using a randomized storage warehouse for an online bookstore, the order picking strategy can be simplified as to retrieve books in purchase orders from closest locations of the warehouse
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