The thesis aims to investigate what the picking process looks like in an FMCG (Fast moving consumer goods) company's fresh goods warehouse on site 1 and site 2. Based on theoretical and empirical information, it must be examined which type of picking process is most effective. Different measures of efficiency will also be presented and analyzed. Furthermore, the study aims to study the type of load carrier that is most suitable for use in the special picking in fresh produce stocks.

Based on the theoretical and empirical information produced in the study, a result has been produced regarding the two questions posed. Regarding the picking process for fine picking, it is presented that if the picker-to-part method is desired to continue to be used, pick-by-vision should be introduced. The most efficient picking process is achieved by introducing semi / full automation using self-driving vehicles (AGV / AMR). The most suitable efficiency measure for the picking process for special picking is picking rows / hour or the number of orders picked / hour. The load carrier that is most suitable for the special pick is the currently used KPV roller cage. However, measures are required to increase the degree of filling in these, either by having a customer order per shelf or by placing slopes in the roll cage that are counted as individual load carriers. In the longer term, the implementation of SRS-back should be investigated and what investment this would require.