ISBN: 978-83-8419-082-1 ISBN (online): 978-83-8419-081-4 ISSN: 0860-2751 OAI
DOI: 10.18276/978-83-8419-081-4
Issue archive / T. (MDII) 1428
| Year: | 2026 |
| Field: | Field of Social Sciences |
| Discipline: | economics and finance |
| Authors: |
Krzysztof
Dmytrów
Uniwersytet Szczeciński |
Information
Electronic version of the publication available under CC BY-SA 4.0 license after 12 months from the date of release: May 2026
Printed version of the publication can be purchased in the store of the University of Szczecin Press: wn.usz.edu.pl/sklep/
Abstract
Order picking in shared storage. Simulations with the use of statistical methods
Order picking is the most time- and work-consuming process in a warehouse. Therefore, rationalisation of the process of order picking is crucial in ensuring the effectiveness of warehouse operations. Although many companies utilise modern, automated warehouse systems, still majority of companies (about 60%) use the classical, manual picker-to-parts systems. There are two main storage systems that can be applied in the warehouse: dedicated storage, meaning that every item has its dedicated location in the warehouse and shared storage, where every item can be stored in many, sometimes very distant locations. Most companies use the shared storage systems, as they allow much better utilisation of storage space. However, its main drawback is that when picking items from such storage, we need to select locations, from which items need to be picked. So far, this problem has only been addressed to a very limited extent. With the use of this monograph, we try to fill this gap.
The main aim of the monograph is to develop a methodology for selection of locations in shared storage using multivariate statistical analysis methods. It has been realised by means of describing every location be the set of variables and by means of selected linear ordering methods the most attractive locations (from the point of view of specific order) were selected. For these locations the picker’s route and order picking times were designated. The system was tested for various storage orders (random and class-based), various strategies of selection of locations and selected linear ordering methods (COPRAS, TOPSIS, TMAL(+) and TMAL(–)). For given storage order and given strategy of selection of locations, the most effective methods were selected.
The empirical part of the analysis was conducted by means of the simulation methods. The presented approach was also applied in the case study, where the untypical layout of the warehouse was presented. Obtained results were extensively analysed by means of the descriptive statistics methods and by using the statistical inference. For such layout a new routing heuristic was developed.
Conducted research has also many limitations and indicated many new directions for future analyses.
Bibliography
| 1. | Aczel, A.D., Sounderpandian, J. (2009). Complete Business Statistics. McGraw-Hill/Irwin. |
| 2. | Aigner, D., Lovell, C.A.K., Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21–37. https://doi. org/10.1016/0304-4076(77)90052-5. |
| 3. | Alinezhad, A., Khalili, J. (2019). New Methods and Applications in Multiple Attribute Decision Making (MADM). Springer International Publishing. https://doi.org/10.1007/978-3-030-15009-9. |
| 4. | Alkan, Ö., Albayrak, Ö.K. (2020). Ranking of Renewable Energy Sources for Regions in Turkey by Fuzzy Entropy Based Fuzzy COPRAS and Fuzzy MULTIMOORA. Renewable Energy, 162, 712–726. https://doi.org/10.1016/j.renene.2020.08.062. |
| 5. | Azadnia, A.H., Taheri, S., Ghadimi, P., Mat Saman, M.Z., Wong, K.Y. (2013). Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms. The Scientific World Journal, 2013(3). https://doi.org/10.1155/2013/246578. |
| 6. | Bartholdi, J.J., Eisenstein, D.D. (1996). A Production Line that Balances Itself. Operations Research, 44(1), 21–34. https://doi.org/10.1287/opre.44.1.21. |
| 7. | Bartholdi, J.J., Hackman, S.T. (2019). Warehouse & Distribution Science. Release 0.98.1. The Supply Chain & Logistics Institute, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. |
| 8. | Begg, D., Fisher, S., Dornbush, R. (1999). Ekonomia. Mikroekonomia. Polskie Wydawnictwo Ekonomiczne. |
| 9. | Berger, A.N., Humphrey, D.B. (1992). Measurement and Efficiency Issues in Commercial Banking. W: Z. Griliches (red.), Output Measurement in the Service Sectors (s. 245– 300). University of Chicago Press. |
| 10. | Bhuniya, S., Pareek, S., Sarkar, B. (2021). A Supply Chain Model with Service Level Constraints and Strategies Under Uncertainty. Alexandria Engineering Journal, 60(6), 6035–6052. https://doi.org/10.1016/j.aej.2021.03.039. |
| 11. | Bieszk-Stolorz, B., Dmytrów, K. (2020). Influence of Accession of the Visegrad Group Countries to the EU on the Situation in Their Labour Markets. Sustainability, 12(16), 6694. https://doi.org/10.3390/su12166694. |
| 12. | Black, J. (2008). Słownik ekonomii. Wydawnictwo Naukowe PWN. |
| 13. | Borys, T. (1978). Metody normowania cech w statystycznych badaniach porównawczych. Przegląd Statystyczny, 25(2), 227–239. |
| 14. | Cameron, K.S., Whetten, D.A. (1983). Organizational Effectiveness: One Model or Several? W: K.S. Cameron, D.A. Whetten (red.), Organizational Effectiveness. A Comparison of Multiple Models (s. 1–25). Academic Press. |
| 15. | Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429–444. https://doi. org/10.1016/0377-2217(78)90138-8. |
| 16. | Chen, F.Y., Krass, D. (2001). Inventory Models with Minimal Service Level Constraints. European Journal of Operational Research, 134(1), 120–140. https://doi.org/10.1016/S0377-2217(00)00243-5. |
| 17. | Chew, E.P., Tang, L.C. (1999). Travel Time Analysis for General Item Location Assignment in a Rectangular Warehouse. European Journal of Operational Research, 112(3), 582–597. https://doi.org/10.1016/S0377-2217(97)00416-5. |
| 18. | Cleff, T. (2019). Applied Statistics and Multivariate Data Analysis for Business and Economics. A Modern Approach Using SPSS, Stata, and Excel. Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-17767-6. |
| 19. | Coyle, J.J., Bardi, E.J., Langley Jr., C.J. (2002). Zarządzanie logistyczne. Polskie Wydawnictwo Ekonomiczne. |
| 20. | Da Silva, D.D., De Vasconcelos, N.V.C., Cavalcante, C.A.V. (2015). Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse. Mathematical Problems in Engineering, 2015. https://doi.org/10.1155/2015/481950. |
| 21. | Daniels, R.L., Rummel, J.L., Schantz, R. (1998). A Model for Warehouse Order Picking. European Journal of Operational Research, 105(1), 1–17. https://doi.org/10.1016/S0377-2217(97)00043-X. |
| 22. | Danielson, M., Ekenberg, L. (2017). Trade-Offs for Ordinal Ranking Methods in Multi-Criteria Decisions. W; D. Bajwa, S. Koeszegi, R. Vetschera (red.), Group Decision and Negotiation. Theory, Empirical Evidence, and Application. GDN 2016. Lecture Notes in Business Information Processing, vol 274 (s. 16–27). Springer. https://doi. org/10.1007/978-3-319-52624-9_2. |
| 23. | Dmytrów, K. (2013). Procedura kompletacji zakładająca oczyszczanie lokalizacji. Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania US, 31(2), 23–36. |
| 24. | Dmytrów, K. (2015). Taksonomiczne wspomaganie wyboru lokalizacji w procesie kompletacji produktów. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, 248, 17–30. |
| 25. | Dmytrów, K. (2018a). Comparison of Several Linear Ordering Methods for Selection of Locations in Order‑picking by Means of the Simulation Methods. Acta Universitatis Lodziensis. Folia Oeconomica, 5(338), 81–96. https://doi.org/10.18778/0208-6018.338.05. |
| 26. | Dmytrów, K. (2018b). Comparison of the Order-Picking Route and Time Obtained by Using the TMAL Method with Results of Selected Take-Out Strategies. W: K. Nermend, M. Łatuszyńska (red.), Problems, Methods and Tools in Experimental and Behavioral Economics. Computational Methods in Experimental Economics (CMEE) 2017 Conference (s. 261–272). Springer International Publishing. https://doi.org/10.1007/978-3-319-99187-0_19. |
| 27. | Dmytrów, K. (2018c). Wpływ wag w metodach TOPSIS i TMAL na czas kompletacji produktów – analiza symulacyjna. Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania US, 54(3), 131–143. https://doi.org/10.18276/SIP.2018.54/3-09. |
| 28. | Dmytrów, K. (2019). Calibration of Attributes Influence in the Process of Real Estate Mass Appraisal by Using Decision-Making Methods. Przegląd Statystyczny. Statistical Review, 66(4), 287–308. https://doi.org/10.5604/01.3001.0014.0953. |
| 29. | Dmytrów, K. (2020). Impact of the Method of Criteria Normalisation on the Order Picking Route and Time. European Research Studies Journal, 23(4), 834–851. https://doi. org/10.35808/ERSJ/1717. |
| 30. | Dmytrów, K. (2022). Analytical and Simulation Determination of Order Picking Time in a Low Storage Warehouse for Shared Storage Systems. Operations Research and Decisions, 32(2), 34–51. https://doi.org/10.37190/ord220203. |
| 31. | Dmytrów, K., Bieszk-Stolorz, B., Landmesser-Rusek, J. (2022). Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method. Energies, 15(20), 7756. https://doi.org/10.3390/en15207756. |
| 32. | Dmytrów, K., Doszyń, M. (2015). Taksonomiczna procedura wspomagania kompletacji produktów w magazynie. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 385, 72–80. https://doi.org/10.15611/pn.2015.385.08. |
| 33. | Dmytrów, K., Gdakowicz, A., Putek-Szeląg, E. (2019). Statistical Relations of the Qualitative Attributes of Real Properties Subject to Mass Appraisal. Folia Oeconomica Stetinensia, 19(2), 25–37. https://doi.org/10.2478/foli-2019-0011. |
| 34. | Dmytrów, K., Gdakowicz, A., Putek-Szeląg, E. (2020). Methods of Analyzing Qualitative Variable Correlation on the Real Estate Market. Real Estate Management and Valuation, 28(1). https://doi.org/10.2478/remav-2020-0007. |
| 35. | Drabik, L. (2023). Słownik wyrazów obcych PWN z przykładami i poradami. Wydawnictwo Naukowe PWN. |
| 36. | Dubiec, G. (2020). Wykorzystanie wybranych metod wielowymiarowej analizy porównawczej do oceny poziomu zjawiska przestępczości w powiatach Polski w 2012 roku. Ekonomia, 26(1), Article 1. https://doi.org/10.19195/2658-1310.26.1.6. |
| 37. | Fijałkowski, J. (2003). Transport wewnętrzny w systemach logistycznych. Wybrane zagadnienia. Oficyna Wydawnicza Politechniki Warszawskiej. |
| 38. | Fontana, M.E., Cavalcante, C.A.V. (2013a). Electre Tri Method Used to Storage Location Assignment into Categories. Pesquisa Operacional, 33(2), 283–303. https://doi.org/10.1590/ S0101-74382013000200009. |
| 39. | Fontana, M.E., Cavalcante, C.A.V. (2013b). Use of Promethee Method to Determine the Best Alternative for Warehouse Storage Location Assignment. The International Journal of Advanced Manufacturing Technology, 70(9), 1615–1624. https://doi.org/10.1007/ S00170-013-5405-Z. |
| 40. | Fontana, M.E., Nepomuceno, V.S. (2016). Multi-Criteria Approach for Products Classification and Their Storage Location Assignment. The International Journal of Advanced Manufacturing Technology, 88(9), 3205–3216. https://doi.org/10.1007/S00170-016-9040-3. |
| 41. | Gatnar, E., Walesiak, M. (red.) (2009). Statystyczna analiza danych z wykorzystaniem programu R. Wydawnictwo Naukowe PWN. |
| 42. | Głodziński, E. (2014). Efektywność ekonomiczna – dylematy definiowania i pomiaru. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie, 73. http://yadda.icm.edu.pl/ baztech/element/bwmeta1.element.baztech-9f73d895-2539-49fc-a3f4-5ccb3d7be1be. |
| 43. | Goetschalckx, M., Ratliff, H.D. (1988). An Efficient Algorithm to Cluster Order Picking Items in a Wide Aisle. Engineering Costs and Production Economics, 13(4), 263–271. https://doi.org/10.1016/0167-188X(88)90012-2. |
| 44. | Gong, Y., Winands, E.M.M., de Koster, R.B.M. (2010). A Real-Time Picking and Sorting System in E-Commerce Distribution Centers. 11th IMHRC Proceedings (Milwaukee, Wisconsin. USA – 2010), 12. https://digitalcommons.georgiasouthern.edu/pmhr_2010/12. |
| 45. | Gray, A.E., Karmarkar, U.S., Seidmann, A. (1992). Design and Operation of an Order-Consolidation Warehouse: Models and Application. European Journal of Operational Research, 58(1), 14–36. https://doi.org/10.1016/0377-2217(92)90232-X. |
| 46. | Gu, J., Goetschalckx, M., McGinnis, L.F. (2007). Research on Warehouse Operation: A Comprehensive Review. European Journal of Operational Research, 177(1), 1–21. https://doi. org/10.1016/j.ejor.2006.02.025. |
| 47. | Gu, J., Goetschalckx, M., McGinnis, L.F. (2010). Research on Warehouse Design and Performance Evaluation: A Comprehensive Review. European Journal of Operational Research, 203(3), 539–549. https://doi.org/10.1016/j.ejor.2009.07.031. |
| 48. | Gudehus, T., Kotzab, H. (2012). Comprehensive Logistics. Springer. https://doi.org/10.1007/ 978-3-642-24367-7. |
| 49. | Gue, K.R., Ivanovic, G., Meller, R.D. (2012). A Unit-Load Warehouse with Multiple Pickup and Deposit Points and Non-Traditional Aisles. Transportation Research Part E: Logistics and Transportation Review, 48(4), 795–806. https://doi.org/10.1016/j.tre.2012.01.002. |
| 50. | Gue, K.R., Meller, R.D. (2009). Aisle Configurations for Unit-Load Warehouses. IIE Transactions, 41(3), 171–182. https://doi.org/10.1080/07408170802112726. |
| 51. | Gunasekaran, A., Marri, H.B., Menci, F. (1999). Industrial Management & Data Systems Improving the Effectiveness of Warehousing Operations: A Case Study Article Information. Industrial Management & Data Systems, 32(5), 381–39. https://doi. org/10.1108/02635579910291975. |
| 52. | Hadley, G., Whitin, T.M. (1963). Analysis of Inventory Systems. Prentice-Hall. |
| 53. | Hall, R.W. (1993). Distance Approximations for Routing Manual Pickers in a Warehouse. IIE Transactions, 25(4), 76–87. https://doi.org/10.1080/07408179308964306. |
| 54. | Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasoby i strukturę kwalifikowanych kadr. Przegląd Statystyczny, 4, 307–326. |
| 55. | Hellwig, Z. (1972). On Optimal Choice of Predictors. W: Z. Gostkowski (red.), Towards a System of Human Resources Indicators for Less Developed Countries (s. 69–90). UNESCO, Ossolineum. |
| 56. | Hellwig, Z. (1981). Wielowymiarowa analiza porównawcza i jej zastosowanie w badaniach wielocechowych obiektów gospodarczych. W: W. Welfe (red.), Metody i modele ekonomiczno- matematyczne w doskonaleniu zarządzania gospodarką socjalistyczną (s. 46– 68). Polskie Wydawnictwo Ekonomiczne. |
| 57. | Henn, S., Koch, S., Doerner, K.F., Strauss, C., Wäscher, G. (2010). Metaheuristics for the Order Batching Problem in Manual Order Picking Systems. Business Research, 3(1), 82–105. https://doi.org/10.1007/BF03342717. |
| 58. | Henn, S., Koch, S., Wäscher, G. (2012). Order Batching in Order Picking Warehouses: A Survey of Solution Approaches. W: R. Manzini (red.), Warehousing in the Global Supply Chain. Springer (s. 105–137). https://doi.org/10.1007/978-1-4471-2274-6_6. |
| 59. | Hiremani, V., Devadas, R.M., Gujjar, P., Johar, S., Spana, R. (2024). Ranking of Institutes Using MCDM SAW Method Under Uncertainty. W: 2024 5th International Conference for Emerging Technology (INCET) (s. 1–4). IEEE. https://doi.org/10.1109/INCET61516.2024.10593015. |
| 60. | Huesca-Gastélum, M., León-Santiesteban, M. (2021). Ranking the Competitiveness of Tourist Destinations: An Analysis Using the OWA Operator and the SAW Method. Inquietud Empresarial, 21(2), Article 2. https://doi.org/10.19053/01211048.11413. |
| 61. | Hwang, C.-L., Yoon, K. (1981). Multiple Attribute Decision Making. Methods and Applications. A State-of-the-Art_Survey. Springer-Verlag. https://doi.org/10.1007/978-3-642-48318-9. |
| 62. | Jacyna, M., Kłodawski, M. (2012). Wybrane aspekty badania wydajności procesu komisjonowania. Logistyka, 2, 673–680. http://yadda.icm.edu.pl/baztech/element/bwmeta1.element. baztech-article-BUS6-0040-0031. |
| 63. | Jakovljevic, V., Zizovic, M., Pamucar, D., Stević, Ž., Albijanic, M. (2021). Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (Raderia). Mathematics, 9(9), 976. https://doi.org/10.3390/math9090976. |
| 64. | Jerzemowska, M. (red.) (2018). Analiza ekonomiczna w przedsiębiorstwie. Polskie Wydawnictwo Ekonomiczne. |
| 65. | Khan, A.A., Agrawal, H. (2016). A Comparitive Study of Nearest Neighbour Algorithm and Genetic Algorithm in Solving Travelling Salesman Problem. International Research Journal of Engineering and Technology, 3(5), 234–238. |
| 66. | Khoo-Fazari, K., Yang, Z., Paradi, J. C. (2013). A Distribution-Free Approach to Stochastic Efficiency Measurement with Inclusion of Expert Knowledge. Journal of Applied Mathematics, 2013, e102163. https://doi.org/10.1155/2013/102163. |
| 67. | Kim, J. (2015). How to Choose the Level of Significance: A Pedagogical Note. https://doi. org/10/MPRA_paper_69992.pdf. |
| 68. | Kolenda, M. (2006). Taksonomia Numeryczna. Klasyfikacja, porządkowanie i analiza obiektów wielocechowych. Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu. |
| 69. | Koliński, A. (2011). Przegląd metod i technik oceny efektywności procesu produkcyjnego. Logistyka, 5, 1083–1091. |
| 70. | Koo, P.-H. (2009). The Use of Bucket Brigades in Zone Order Picking Systems. OR Spectrum, 31(4), 759–774. https://doi.org/10.1007/s00291-008-0131-x. |
| 71. | de Koster, R., Le-Duc, T., Roodbergen, K.J. (2007). Design and Control of Warehouse Order Picking: A Literature Review. European Journal of Operational Research, 182(2), 481–501. https://doi.org/10.1016/J.EJOR.2006.07.009. |
| 72. | de Koster, R., Poort, E. van der, Roodbergen, K.J. (1998). When to Apply Optimal or Heuristic Routing of Order Pickers. W: B. Fleischmann, van N.J.A., P. Stähly (red.), Lecture Notes in Economics and Mathematical Systems (vol. 460). Advances in Distribution Logistics (s. 375–401). Springer. https://doi.org/10.1007/978-3-642-46865-0_16. |
| 73. | Krawczyk, S., Jakubiak, M. (2011). Rola komisjonowania w sterowaniu przepływami produktów. Logistyka, 4, 475–486. |
| 74. | Krysicki, W., Bartos, J., Dyczka, W., Królikowska, K., Wasilewski, M. (2012). Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach. Cz. 1: Rachunek prawdopodobieństwa (9. wyd.). Wydawnictwo Naukowe PWN. |
| 75. | Kukuła, K. (2000). Metoda unitaryzacji zerowanej. Wydawnictwo Naukowe PWN. |
| 76. | Kwarcińska, A. (2018). Efektywność jako wyznacznik gospodarowania. Kontekst ekonomiczno- społeczny. Zeszyty Naukowe Uniwersytetu Szczecińskiego Problemy Transportu i Logistyki, 41(1), 87–96. https://doi.org/10.18276/ptl.2018.41-08. |
| 77. | Lange, O. (1975). Dzieła. T. 3. Wydawnictwo Naukowe PWN. |
| 78. | Le-Duc, T. (2005). Design and Control of Efficient Order. Erasmus Research Institute of Management (ERIM). |
| 79. | Lee, S., Lee, D.K. (2018). What is the Proper Way to Apply the Multiple Comparison Test? Korean Journal of Anesthesiology, 71(5), 353–360. https://doi.org/10.4097/kja.d.18.00242. |
| 80. | Lista kompletacyjna [hasło]. Media Logistyka. Portal, czasopismo, podcast. Pobrano z: https:// www.logistyka.net.pl/slownik-logistyczny/szczegoly/581%2Clista_kompletacyjna. |
| 81. | Lotfi, F.H., Fallahnejad, R. (2010). Imprecise Shannon’s Entropy and Multi Attribute Decision Making. Entropy, 12(1), 53–62. https://doi.org/10.3390/e12010053. |
| 82. | Marchet, G., Melacini, M., Perotti, S., Tappia, E. (2012). Analytical Model to Estimate Performances of Autonomous Vehicle Storage and Retrieval Systems for Product Totes. International Journal of Production Research, 50(24), 7134–7148. https://doi.org/10.1080 /00207543.2011.639815. |
| 83. | Meeusen, W., van Den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18(2), 435–444. https://doi.org/10.2307/2525757. |
| 84. | Michel, R. (2016). 2016 Warehouse/DC Operations Survey: Ready to Confront Complexity. https://www.scmr.com/article/2016_warehouse_dc_operations_survey_ready_to_confront_ complexity. |
| 85. | Miłaszewicz, B., Rut, J. (2014). Nowoczesne metody kompletacji. Logistyka, nr 6, 12347– 12350. |
| 86. | Mościbrodzka, M. (2014). The Use of Methods of Multidimensional Comparative Analysis in Evaluation of the Standard of Living of Poland’s Population in Comparison with Other Countries of the European Union. Oeconomia Copernicana, 5(3), Article 3. https://doi. org/10.12775/OeC.2014.018. |
| 87. | Napolitano, M. (2012). 2012 Warehouse/DC Operations Survey: Mixed Signals – Logistics Management. Logistics Management. https://www.logisticsmgmt.com/article/2012_ warehouse_dc_operations_survey_mixed_signals. |
| 88. | Nermend, K. (2017). Metody analizy wielokryterialnej i wielowymiarowej we wspomaganiu decyzji. Wydawnictwo Naukowe PWN. |
| 89. | Niemczyk, A. (2012). Zapasy i magazynowanie. T. 2: Magazynowanie. Podręcznik do kształcenia w zawodzie technik logistyk. Instytut Logistyki i Magazynowania. |
| 90. | Nowak, M. (2004). Metody ELECTRE w deterministycznych i stochastycznych problemach decyzyjnych. Decyzje, 2, 35–65. |
| 91. | Pan, J.C.H., Wu, M.H., Chang, W.L. (2014). A Travel Time Estimation Model for a High-Level Picker-to-Part System with Class-Based Storage Policies. European Journal of Operational Research, 237(3), 1054–1066. https://doi.org/10.1016/j.ejor.2014.02.037. |
| 92. | Petersen, C.G., Aase, G.R., Heiser, D.R. (2004). Improving Order‐Picking Performance through the Implementation of Class‐Based Storage. International Journal of Physical Distribution & Logistics Management, 34(7), 534–544. https://doi. org/10.1108/09600030410552230. |
| 93. | Pliskin, J.S., Dori, D. (1982). Ranking Alternative Warehouse Area Assignments: A Multiattribute Approach. IIE Transactions, 14(1), 19–26. https://doi.org/10.1080/05695558208975034. |
| 94. | Podvezko, V. (2011). The Comparative Analysis of MCDA Methods SAW and COPRAS. Engineering Economics, 22(2), 134–146. https://doi.org/10.5755/j01.ee.22.2.310. |
| 95. | Poskart, R. (2014). A Definition of the Concept of Economic Effectiveness. Central Eastern European Journal of Management and Economics, 2(3), 179–187. |
| 96. | Prędki, A. (2016). Modelowanie zmienności danych w ramach metody DEA. Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie. https://www.ibuk.pl/fiszka/166454/modelowanie- zmiennosci-danych-w-ramach-metody-dea.html. |
| 97. | Ratliff, H.D., Rosenthal, A.S. (1983). Order-Picking in a Rectangular Warehouse: A Solvable Case of the Traveling Salesman Problem. Operations Research, 31(3), 507–521. |
| 98. | Rollnik-Sadowska, E., Jarocka, M. (2021). CEE Labour Markets – Homogeneity or Diversity? Technological and Economic Development of Economy, 27(5), Article 5. https://doi. org/10.3846/tede.2021.15014. |
| 99. | Roodbergen, K.J., de Koster, R.B.M. (2001). Routing Methods for Warehouses with Multiple Cross Aisles. International Journal of Production Research, 39(9), 1865–1883. https:// doi.org/10.1080/00207540110028128. |
| 100. | Roszkowska, E., Wachowicz, T. (2024). Impact of Normalization on Entropy-Based Weights in Hellwig’s Method: A Case Study on Evaluating Sustainable Development in the Education Area. Entropy, 26(5), Article 5. https://doi.org/10.3390/e26050365. |
| 101. | Rutkowska, A. (2013). Teoretyczne aspekty efektywności – pojęcie i metody pomiaru. Zarządzanie i Finanse, 11(1–4), 439–453. |
| 102. | Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill. |
| 103. | Saaty, T.L., Ergu, D. (2015). When Is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods. International Journal of Information Technology and Decision Making, 14(6), 1171–1187. https://doi.org/10.1142/ S021962201550025X. |
| 104. | Saaty, T.L., Vargas, L.G. (2006). Decision Making with the Analytic Network Process. Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. Springer-Verlag US. https://doi.org/10.1007/0-387-33987-6. |
| 105. | Sabo-Zielonka, A. (2015). Heurystyki wyznaczania tras w dwublokowej nieprostokątnej strefie kompletacji zamówień. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, 241, 125–139. https://doi.org/10.15611/pn.2016.446.15. |
| 106. | Sabo-Zielonka, A. (2019). Modelowanie decyzyjne w planowaniu kompletacji zamówień w nowoczesnym magazynie. Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach. |
| 107. | Sarnot, M. (2022). Gospodarka Magazynowa – czym jest i jak nią efektywnie zarządzać? Streamsoft. https://www.streamsoft.pl/e-commerce/gospodarka-magazynowa. |
| 108. | Schuur, P.C. (2015). The Worst-Case Performance of the Cube per Order Index Slotting Strategy is Infinitely Bad – A Technical Note. International Journal of Production Economics, 170, 801–804. https://doi.org/10.1016/j.ijpe.2015.05.027. |
| 109. | Schwarz, L.B., Graves, S.C., Hausman, W.H. (1978). Scheduling Policies for Automatic Warehousing Systems: Simulation Results. AIIE Transactions, 10(3), 260–270. https://doi. org/10.1080/05695557808975213. |
| 110. | Shapiro, S.S., Wilk, M.B. (1965). An Analysis of Variance Test for Normality (Complete Samples). Biometrika, 52(3/4), 591–611. https://doi.org/10.2307/2333709. |
| 111. | Simon, H.A. (1972). Theories of Bounded Rationality. W: C.B. McGuire, R. Radner (red.), Decision and Organization: A Volume in Honor of Jacob Marschak (s. 161–176). North- -Holland. |
| 112. | Skrzypek, E. (2012). Efektywność ekonomiczna jako ważny czynnik sukcesu organizacji. W: T. Dudycz, G. Osbert-Pociecha, B. Brycz (red.), Efektywność – konceptualizacja i uwarunkowania (s. 313–325). Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu. |
| 113. | Snedecor, G.W., Cochran, W.G. (1991). Statistical Methods (8. wyd.). |
| 114. | Stevens, S.S. (1946). On the Theory of Scales of Measurement. Science, 103(2684), 677–680. |
| 115. | Tarczyński, G. (2012). Analysis of the Impact of Storage Parameters and the Size of Orders on the Choice of the Method for Routing Order Picking. Operations Research and Decisions, 22(4), 105–120. https://doi.org/10.5277/ord120406. |
| 116. | Tarczyński, G. (2017). The Problem of Location Selection during the Order-Picking Process. Mathematical Economics, 13(20), 79–93. https://doi.org/10.15611/me.2017.13.06. |
| 117. | Tarczyński, G. (2019). Optymalizacja procesów magazynowych. Wybrane modele i metody. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu. |
| 118. | Tarczyński, G., Sabo-Zielonka, A. (2016). Adaptacja heurystyki s-shape na potrzeby wyznaczenia trasy przejścia w niestandardowym układzie strefy kompletacji zamówień. Uniwersytet Ekonomiczny we Wrocławiu. https://doi.org/10.15611/pn.2016.446.15. |
| 119. | Tarczyński, W. (2001). Rynki kapitałowe. Cz. 1: Metody ilościowe. Placet. |
| 120. | Trzaskalik, T. (2024). Wprowadzenie do badań operacyjnych z komputerem. Polskie Wydawnictwo Ekonomiczne. |
| 121. | Trzaskalik, T. (red.) (2014). Wielokryterialne wspomaganie decyzji. Metody i zastosowania. Polskie Wydawnictwo Ekonomiczne. |
| 122. | van den Berg, J.P., Gademann, A.J.R.M. (2000). Simulation Study of an Automated Storage/ Retrieval System. International Journal of Production Research, 38(6), 1339–1356. https://doi.org/10.1080/002075400188889. |
| 123. | Van Nieuwenhuyse, I.V., de Koster, R.B.M., Colpaert, J. (2007). Order Batching in Multi- Server Pick-and-Sort Warehouses. Katholieke Universiteit Leuven. |
| 124. | Vommi, V.B., Kakollu, S.R. (2017). A Simple Approach to Multiple Attribute Decision Making Using Loss Functions. Journal of Industrial Engineering International, 13(1), 107– 116. https://doi.org/10.1007/s40092-016-0174-6. |
| 125. | Walesiak, M. (2016). Uogólniona miara odległości GDM w statystycznej analizie wielowymiarowej z wykorzystaniem programu R. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu. |
| 126. | Weidinger, F. (2018). Picker Routing in Rectangular Mixed Shelves Warehouses. Computers & Operations Research, 95, 139–150. https://doi.org/10.1016/j.cor.2018.03.012. |
| 127. | Welch, B.L. (1951). On the Comparison of Several Mean Values: An Alternative Approach. Biometrika, 38(3/4), 330–336. https://doi.org/10.2307/2332579. |
| 128. | Wildt, C., Weidinger, F., Boysen, N. (2024). Picker Routing in Scattered Storage Warehouses: An Evaluation of Solution Methods Based on TSP Transformations. OR Spectrum. https://doi.org/10.1007/s00291-024-00780-0. |
| 129. | Wójcik, M. (2019). Wielowymiarowa analiza porównawcza warunków oferowanych dla małych i średnich przedsiębiorstw w polskich województwach. Metody Ilościowe w Badaniach Ekonomicznych, 20(2), Article 2. https://doi.org/10.22630/MIBE.2019.20.2.13. |
| 130. | Yu, Y., de Koster, R.B.M., Guo, X. (2015). Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better. Production and Operations Management, 24(8), 1235–1247. https://doi.org/10.1111/poms.12334. |
| 131. | Zavadskas, E.K., Kaklauskas, A., Šarka, V. (1994). The New Method of Multictiteria Complex Proportional Assessment Projects. W: E.K. Zavadskas, P. Linnert (red.), Technological and Economic Development of Economy. T. 3: Business Management (s. 131–140). Technika. |