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Analysis of the impact of storage parameters and the size of orders on the choice of the method for routing order picking

100%
TARCZYŃSKI G.
Operations Research and Decisions
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2012
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vol. 22
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issue 4
105-120
EN
The paper presents an analysis of the impact of the number of picking aisles, slots in a rack, the size of pick lists, and the routing method on the performance of the order picking process. In the analysis, the forklift truck’s maneuvers such as turns back and turns aside, omitted by some scientists, are considered. Although only random storage assignment is examined in this paper, the possible congestion effect is considered. Experiments were performed by the use of simulations.
2
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Linear programming models for optimal workload and batching in pick-and-pass warehousing systems

100%
Tarczyński G.
Operations Research and Decisions
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2023
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vol. 33
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issue 3
EN
Pick-and-pass systems are a part of picker-to-parts order-picking systems and constitute a very common storage solution in cases where customer orders are usually small and need to be completed very quickly. As workers pick items in the zones connected by conveyors, their work needs to be coordinated. The paper presents MILP models that optimize the order-picking process. The first model uses information about the expected demand for items to solve the storage location problem and balance the workload across zones. The task of the next model is order-batching and sequencing – two concepts are presented that meet different assumptions. The results of the exemplary tasks solved with the use of the proposed MILP models show that the total picking time of a set of orders can be reduced by about 35-45% in comparison with random policies. The paper presents an equation for the lower bound of a makespan. Recommendations about the number of zones that guarantee the required system efficiency are also introduced.
3
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A linearisation approach to solving a non-linear shelf space allocation problem with multi-oriented capping in retail store and distribution centre

88%
Czerniachowska K., Hernes M., Lutosławski K.
Operations Research and Decisions
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2022
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vol. 32
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issue 4
EN
Shelf space is one of the essential resources in logistic decisions. Order picking is the most time-consuming and labourintensive of the distribution processes in distribution centres. Current research investigates the allocation of shelf space on a rack in a distribution centre and a retail store. The retail store, as well as the distribution centre, offers a large number of shelf storage locations. In this research, multi-orientated capping as a product of the rack allocation method is investigated. Capping allows additional product items to be placed on the rack. We show the linearisation technique with the help of which the models with capping could be linearised and, therefore, an optimal solution could be obtained. The computational experiments compare the quality of results obtained by non-linear and linear models. The proposed technique does not increase the complexity of the initial non-linear problem.
4
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Analysis of the length of order-picking paths determined using the s–shape method

63%
Redmer A.
LogForum
|
2020
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vol. 16
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issue 1
33-46
EN
Background: Order-picking is a fundamental warehousing activity that accounts for in excess of 60% of total warehousing costs. Movements of pickers consume as much as half of the picking time. Thus determining picking paths is crucial. The most frequently used method is the S-shape one. Material and methods: The average picking path length for 240 variants of the storage area (depot location, storage strategy), inventory (ABC-storage class sizes, probability of retrieving) and customer order (number of lines – 5, 10, 15) parameters was calculated. 100 simulations were carried out each time. MS Excel spreadsheet, along with macros (VBA) were used. Results: The comparison were made of path lengths for a single block warehouse with 320 storage locations, Within-Aisle/Random storage strategies and low-level picking. Depot locations in the corner of a warehouse and in the middle of a front aisle were considered. The path lengths significantly varied with the variants that were analyzed. The shortest paths were observed for the Within-Aisle strategy, corner located depot, order sizes 5 or 10 and sizes of ABC-storage classes equal to 5/35/60% or 10/35/55% of all 320 storage locations under a retrieving probability of 90/5/5%. Conclusions: Better and worse picking variants exist, influencing significantly the length of picking paths determined using the S-shape method. In general, the depot location is less important, even though the best variant assumed a corner location, while a location in the middle of a front aisle gives shorter paths on average. A much more important factor is the storage strategy. Lack of the strategy (randomness) substantially extends path lengths (by 50% on average).
PL
Wstęp: Kompletacja to podstawowa czynność realizowana w magazynach. Koszty kompletacji stanowią ponad 60% kosztów magazynowania, a jej najbardziej pracochłonnym elementem jest przemieszczanie się pracowników. Dlatego planowanie ścieżek kompletacji odgrywa tak ważną rolę. Najczęściej stosowną tu metodą jest metoda S-shape. Metody: Celem oceny długości ścieżek kompletacji dla różnych parametrów strefy składowania (lokalizacja pola odkładczego, strategia składowania), składowanych zapasów (wielkość grup asortymentowych ABC i prawdopodobieństwo pobrania) i zamówień klientów (liczba linii – 5, 10, 15) zdefiniowano 240 wariantów analizy i dla każdego z nich wykonano 100 symulacji ścieżki kompletacji wyznaczając jej średnią długość. Analizy przeprowadzono z wykorzystaniem arkusza kalkulacyjnego MS Excel oraz makr (VBA). Wyniki: Zestawienie długości ścieżek kompletacji dla magazynu jednoblokowego o 320 miejscach składowania (wg strategii Within-Aisle i losowej) oraz kompletacji z poziomu podłogi. Uwzględniono lokalizację pola odkładczego w narożniku magazynu oraz na środku przedniej alejki głównej. Długość ścieżek kompletacji okazała się mocno zmienna zależnie od analizowanego wariantu. Najkrótsze ścieżki kompletacji zaobserwowano dla strategii składowania Within-Aisle, pola dokładczego zlokalizowanego w narożniku magazynu, liczby linii na zamówieniu 5 lub 10 oraz grup asortymentowych ABC o wielkości 5/35/60% lub 10/35/55% wszystkich 320 lokacji przy prawdopodobieństwie pobrania asortymentów z każdej z grup 90/5/5%. Wnioski: Istnieją lepsze i gorsze warianty kompletacji wpływające istotnie na długość ścieżek planowanych metodą S-shape. Generalnie mniejsze znaczenie ma tu lokalizacja pola odkładczego (jakkolwiek najlepsze rozwiązanie uzyskano dla lokalizacji w narożniku magazynu, to lokalizacja na środku przedniej alejki głównej daje przeciętnie krótsze ścieżki kompletacji), a większe strategia składowania. Brak tej strategii (losowość) istotnie wydłuża długość ścieżek kompletacji (średnio o 50%).
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