Continuous improvement in production networks is necessary for market competition, which requires higher performance from warehouses. New management philosophies such as just-in-time (JIT) and lean production pose challenges, including tighter inventory control and shorter response times. By implementing information technologies like bar coding, RF, and WMS, warehouse operations can be improved, with real-time control, easy communication, and high levels of automation [7]. The increase in e-commerce sales has led to a shift from conventional picker-to-parts arrangements to mission-critical fulfillment factories, making traditional picker-to-parts configurations inefficient [8]. Human order pickers frequently waste time by walking or driving. By providing stock-keeping units (SKUs) to stationary pickers, parts-to-picker systems enable workers to concentrate on obtaining items requested by picking orders. Shelf-lifting mobile robots or an automated storage and retrieval system (ASRS) are used to supply stationary pickers. The storage buffer allows for a significant separation of local warehouse operations from other activities taking place elsewhere in the distribution network. Therefore, most warehousing literature focuses on specific warehouse issues (e.g., [9; 10; 11]). Warehouse operations are labor-intensive and require extensive locations for amenities such as racking, stock, unloading, and docking vehicles. Businesses can now store millions of unique goods and handle massive and fluctuating daily order volumes due to the development of e-commerce. Order picking is the most time-consuming and expensive procedure, it is repetitive, frequently suffers from poor ergonomics, and requires high-quality workers ready to work in shifts. This will result in the development of warehouse automation. This has been considered since the 1960s when the first high-bay unit-load warehouses with aisle-captive cranes driving on tracks were created in Germany. Automated storage and retrieval (AS/R) systems can store bulk items on unit loads (pallets or totes (mini load system)). Human pick stations are combined to form a parts-to-picker system. In Western Europe alone, there are around 40 completely automated warehouses in service, with several more being under construction [8]. These warehouses are ostensibly more cost-effective and substantially smaller than their traditional, manual equivalents. There are several partially robotized warehouses that have been created in addition to fully automated warehouses. In 2012 and 2016, robot technology was used to complete 63 large new warehouses in the Netherlands [8]. The majority of warehouse research is still focused on traditional storage and order picking approaches. The review by [PERSON], [PERSON], and [PERSON] presented several research possibilities towards semiautomated picking approaches [11]. Automation has made significant progress in material handling in the past few years, and we are not far away from a completely automated fulfillment solution [8]. Parts-to-picker systems are used in various businesses, including e-commerce shops and distribution facilities that provide physical storefronts. SKU bins are used by these systems to transport SKUs to the picker, where they are then placed in client bins. The picker retrieves the required items from the SKU bin, places them in the customer bins, and confirms the choices. In some workstations, bins can be weighed automatically to identify picking faults. The current SKU bin is replaced with the next one, and the selection process is repeated until a customer bin has all the required parts. Once the client bin has been constructed, it is transferred to the packaging and shipping department. Manual picking workstations are capable of handling up to 1000 order lines per hour [11; 12]. Logistics service quality (LSQ) is crucial for both logistics service providers (LSPs) and customers, as it ensures customer satisfaction and market position.