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Online order picking has become one of the key issues for ensuring the service level of modern retail e-commerce. This paper studies the online order batching and batch assignment problem (OOBBAP) with multiple pickers of picker-to-parts warehouses. First, we establish a biobjective optimization model that minimises the total picking time and order response time. Then, an online order batching algorithm embedded with the sequencing algorithm and optimal path algorithm is designed to solve the model. Finally, we use retail ecommerce from China with data on 87,277 orders of an online shopping festival to examine the optimization results of the model. The optimization results of the key indicators are satisfactory. The optimization rates of the maximum order response time, average order response time, total picking time, average picking time of picking posts, picker total walking distance and average walking distance are between 7.45% and 30.20%. The model demonstrates an excellent ability to solve the OOBBAP in multiple picker warehouses, which can provide a reference solution for similar picking problems in picker-toparts retail e-commerce warehouses. [ABSTRACT FROM AUTHOR]

In recent years, with the integration and development of the internet and various industries, the social economy has begun to develop toward diversification. The rise of e-commerce logistics has driven the transformation and upgrading of the manufacturing industry and injected new vitality into e-commerce. It also promotes the new development of cargo warehousing as one of the important components. Traditional warehousing began to gradually develop toward intelligent informatization, relying on emerging science and technology. Smart warehousing also brings valuable development opportunities and challenges to the manufacturing industry. On the basis of the existing achievements, this paper proposes a solution of an intelligent warehousing system for e-commerce logistics based on multimedia technology. It, firstly, introduces the structure of the intelligent warehousing system in detail, and then, it analyzes the requirements for the functions of the intelligent warehousing system based on multimedia technology. It includes user management, receiving business, storage business, tally business, and outbound business. In the end, the intelligent warehousing system based on multimedia technology and the traditional intelligent warehousing system are compared and tested for system function and experience. The test results show that the work efficiency of the intelligent warehousing system based on multimedia technology is significantly higher than that of the traditional intelligent warehousing system. In terms of user experience, the performance of the intelligent warehousing system based on multimedia technology has reached 8 points and above. It proves its usefulness and effectiveness. [ABSTRACT FROM AUTHOR]

In recent years, thousands of products are ordered by online every day with the development of e-commerce and customers expect their orders to be delivered on the same day or the following day despite the significant increase in the number orders. This expectation in delivery times, becoming one of the most important factors that affect customer satisfaction, reveals the requirement of effective and efficient operations in warehouses to deliver orders to customers on time. In warehouses, the most time is spent in storing/retrieving products on/from shelves (storage and retrieval). The expected distances traveled for storing and retrieving vary depending on the warehouse design, the mid-cross-aisle location and operation type. In this study, mathematical formulations of expected distances for single-command, dual-command and cross-docking operations are developed in a discrete storage space. A nonlinear-integer programming model is developed for mixed-command operations by using discrete formulations developed and the optimization model is solved for two different scenarios. As a result, considering the effect on expected travel distance of the warehouse design, the mid-cross-aisle location and the operation type, the optimal location of the mid-cross aisle and warehouse design are determined in a unit-load warehouse having multiple dock doors along two adjacent walls. [ABSTRACT FROM AUTHOR]