The research conducted in this study aims to increase warehouse order picking performance by sequence optimization, as travel time covers most picking processes in storages, it is important to have a suitable order of picking lines in a batch to achieve high efficiency. They argued in their study that routing inquiry for line series in selecting order batches in Warehouse Management Systems (WMS) is well investigated, recorded and implemented. In addition, they stated that storage areas could be an alternative in practice where routing heuristics could hardly be applied. The Line Sequence Optimization (LSO) calculates the line sequence with the minimum travel time for a given batch based on a digitized network. The quantitative evaluation showed an overall improvement potential of 7.4% for a case study at a distributor in the business segment of electronic devices. However, contrary to the systematic routing inquiry, the sequences generated by the LSO may seem illogical to the picker a qualitative evaluation must follow to identify sequence patterns and discuss the methodology with the picking staff. Although a number of studies have been conducted over the past two decades to address these issues in the current literature review, the purpose of this paper is therefore to evaluate warehouse performance in the manufacturing industry theoretically. The results of the current literature's critical analysis clearly show that there are warehouse performance-related flaws in the current body language.