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Simulation-Based Evaluation of Order Picking Systems with Integrated Inventory Replenishment

Yıl 2026, Cilt: 28 Sayı: 82, 1 - 7, 27.01.2026
https://doi.org/10.21205/deufmd.2026288201

Öz

Order picking activities play a critical role in supply chain management by providing components for assembly operations in production systems and ensuring the fulfillment of customer demands in distribution systems. Trends in customer behavior indicate a shift from fewer, larger orders to a greater number of smaller orders, while order lead times continue to decrease. To remain competitive, companies must implement efficient order picking systems that can adapt to changing conditions. This study examines the distribution warehouse of a fastener manufacturing company, with the aim of improving order picking performance. In addition to addressing key factors such as storage assignment and routing methods, the study also explores the often-overlooked inventory replenishment process within storage areas. A simulation model was developed to account for probabilistic demand and order picking frequency. Alternative combinations of storage assignment and routing strategies for the order picking process were evaluated under the (s, S) inventory policy. The experimental results identify the optimal combination of operating policies that minimizes order picking time.

Kaynakça

  • Dallari F, Marchet G, Melacini M. Design of order picking system. International Journal of Advanced Manufacturing Technology 2009;42(1-2):1-12.
  • Le-Duc T, De Koster R. Layout optimization for class-based storage strategy warehouses. In: De Koster R, Delfmann W, editors. Supply Chain Management – European Perspectives, Copenhagen: CBS Press; 2005, p. 191–214.
  • Tompkins JA, White JA, Bozer YA, Frazelle EH, Tanchoco JMA. Facilities Planning. NJ: John Wiley & Sons; 2003.
  • De Koster R, Le-Duc T, Roodbergen KJ. Design and control of warehouse order picking: A literature review. European Journal of Operational Research 2007;182(2):481–501.
  • Chan FTS, Chan HK. Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert Systems with Applications 2011;38:2686-2700.
  • Tuna G, Tuncel G. Order picking systems in warehouse management: a literature review. Journal of Engineering Sciences, Dokuz Eylül University 2012;14(3):15-31.
  • Roodbergen KJ, De Koster R. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 2001;39(9):1865-1883.
  • Ahmadi Keshavarz AR, Jaafari D, Khalaj M, Dokouhaki P. A Survey of the Literature on Order-Picking Systems by Combining Planning Problems. Appl Sci 2021;11:10641. doi:10.3390/app112210641.
  • Casella G, Volpi A, Montanari R, Tebaldi L, Bottani E. Trends in order picking: a 2007–2022 review of the literature. Prod Manuf Res 2023;11(1). doi:10.1080/21693277.2023.2191115.
  • Vanheusden S, van Gils T, Ramaekers K, Cornelissens T, Caris A. Practical factors in order picking planning: state-of-the-art classification and review. Int J Prod Res 2023;61(6):2032–56. doi:10.1080/00207543.2022.2053223.
  • Ratliff HD, Rosenthal AS. Order picking in a rectangular warehouse: a solvable case of the traveling salesman problem. Operations Research 1983;31(3):507-521.
  • Goetschalckx M, Ratliff HD. Sequencing picking operations in a man-aboard order picking system. Material Flow 1988;4:255-263.
  • Roodbergen KJ, De Koster R. Routing order pickers in a warehouse with multiple cross aisles. In: Graves RJ, McGinnis LF, Medeiros DJ, Ward RE, Wilhelm MR, editors. Progress in Material Handling Research, Charlotte, NC: Material Handling Institute; 1998, p. 451-467.
  • Caron F, Marchet G, Perego A. Routing policies and COI-based storage policies in picker-to-part systems. International Journal of Production Research 1998;36(3):713-732.
  • Vaughan TS, Petersen CG. The effect of warehouse cross aisles on order picking efficiency. International Journal of Production Research 1999;37:881-897.
  • Petersen CG, Schmenner RW. An evaluation of routing and volume-based storage policies in an order picking operation. Decision Sciences 1999;30(2):481-501.
  • Roodbergen KJ, De Koster R. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 2001;39(9):1865-1883.
  • Petersen CG, Aase G. A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics 2004;92:11–19.
  • Manzini R, Gamberi M, Regattieri A. Design and control of a flexible order picking system (FOPS) a new integrated approach to the implementation of an expert system. Journal of Manufacturing Technology Management 2005;16(1):18–35.
  • Roodbergen KJ. Storage assignment policies for warehouses with multiple cross aisles. In: Meller R, Ogle MK, Peters BA, Taylor GD, Usher J, editors. Progress in Material Handling Research, 2005, p. 541–560.
  • Roodbergen KJ, Vis IFA. A model for warehouse layout. IIE Transactions 2006;38(10):799-811.
  • Parikh PJ, Meller RD. Selecting between batch and zone order picking strategies in a distribution center. Transportation Research Part E 2008;44(5):696-719.
  • Pan JCH, Shih PH. Evaluation of the throughput of a multiple-picker order picking system with congestion consideration. Computers and Industrial Engineering 2008;55(2):379-389.
  • Bindi F, Manzini R, Pareschi A, Regattieri A. Similarity-based storage allocation rules in an order picking system: an application to the food service industry. International Journal of Logistics: Research and Applications 2009;12(4):233-247.
  • Yu M, De Koster R. The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research 2009;198(2):480-490.
  • Lerher T, Potrc I, Sraml M. Simulation analysis of mini-load multi-shuttle automated storage and retrieval systems. International Journal of Advanced Manufacturing Technology 2011;54:337-348.
  • Pan JCH, Shih PH, Wu MH. Storage assignment problem with travel distance and blocking considerations for a picker-to-part order picking system. Computers and Industrial Engineering 2012;62:527-535.
  • Grosse EH, Glock CH, Neumann WP. Human factors in order picking: a content analysis of the literature. Int J Prod Res 2017;55(5):1260–76. doi:10.1080/00207543.2016.1186296.
  • Bottani E, Volpi A, Montanari R. Design and optimization of order picking systems: an integrated procedure and two case studies. Computers and Industrial Engineering 2019;137:106035. doi:10.1016/j.cie.2019.106035.
  • Zivanic D, Zelic A, Lalic B, Simeunovic N, Szabo L. Improving the order picking efficiency by optimising the orders' sequence. International Journal of Simulation Modelling 2019;18(1):125-137. doi:10.2507/IJSIMM18(1)469.
  • Masae M, Glock CH, Grosse EH. Order picker routing in warehouses: a systematic literature review. Int J Prod Econ 2020;224:107564. doi:10.1016/j.ijpe.2019.107564.
  • Vanheusden S, van Gils T, Caris A, Ramaekers K, Braekers K. Operational workload balancing in manual order picking. Comput Ind Eng 2020;141:106269. doi:10.1016/j.cie.2020.106269.
  • Jiang H. Solving multi-robot picking problem in warehouses: a simulation approach. International Journal of Simulation Modelling 2020;19(4):701-712. doi:10.2507/IJSIMM19-4-CO19.
  • Vanheusden S, van Gils T, Braekers K, Ramaekers K, Caris A. Analysing the effectiveness of workload balancing measures in order picking operations. International Journal of Production Research 2022;60(7):2126–50. doi:10.1080/00207543.2021.1884307.
  • Raghuram P, Jain SA, Mazumder S. Order picking and storage optimisation in a warehouse using agent-based modeling. International Journal of Operational Research 2023;48(1):47-62.

Entegre Envanter Yenilemeli Sipariş Toplama Sistemlerinin Simülasyon Tabanlı Değerlendirilmesi

Yıl 2026, Cilt: 28 Sayı: 82, 1 - 7, 27.01.2026
https://doi.org/10.21205/deufmd.2026288201

Öz

Sipariş toplama faaliyetleri, üretim sistemlerinde montaj operasyonları için bileşenler sağlarken, dağıtım sistemlerinde müşteri taleplerinin karşılanmasını güvence altına alarak tedarik zinciri yönetiminde kritik bir rol oynar. Müşteri davranışlarındaki eğilimler, daha az sayıda büyük siparişlerden daha fazla sayıda küçük siparişlere doğru bir değişime işaret ederken, sipariş teslim süreleri de azalmaya devam etmektedir. Rekabetçi kalabilmek için şirketler, değişen koşullara uyum sağlayabilen verimli sipariş toplama sistemleri uygulamalıdır. Bu çalışma, bağlantı elemanları üreten bir şirketin dağıtım deposunu incelemekte olup, sipariş toplama performansını iyileştirmeyi amaçlamaktadır. Depolama ataması ve yönlendirme yöntemleri gibi önemli faktörlerin yanı sıra, depolama alanlarındaki sıklıkla göz ardı edilen envanter yenileme süreci de çalışmada ele alınmaktadır. Olasılıksal talep ve sipariş toplama sıklığı dikkate alınarak bir simülasyon modeli geliştirilmiştir. Sipariş toplama sürecindeki depolama atama ve yönlendirme stratejilerinin alternatif kombinasyonları, (s, S) envanter politikası altında değerlendirilmiştir. Deneysel sonuçlar, sipariş toplama süresini minimize eden en uygun işletim politikası kombinasyonunu belirlemektedir.

Kaynakça

  • Dallari F, Marchet G, Melacini M. Design of order picking system. International Journal of Advanced Manufacturing Technology 2009;42(1-2):1-12.
  • Le-Duc T, De Koster R. Layout optimization for class-based storage strategy warehouses. In: De Koster R, Delfmann W, editors. Supply Chain Management – European Perspectives, Copenhagen: CBS Press; 2005, p. 191–214.
  • Tompkins JA, White JA, Bozer YA, Frazelle EH, Tanchoco JMA. Facilities Planning. NJ: John Wiley & Sons; 2003.
  • De Koster R, Le-Duc T, Roodbergen KJ. Design and control of warehouse order picking: A literature review. European Journal of Operational Research 2007;182(2):481–501.
  • Chan FTS, Chan HK. Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert Systems with Applications 2011;38:2686-2700.
  • Tuna G, Tuncel G. Order picking systems in warehouse management: a literature review. Journal of Engineering Sciences, Dokuz Eylül University 2012;14(3):15-31.
  • Roodbergen KJ, De Koster R. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 2001;39(9):1865-1883.
  • Ahmadi Keshavarz AR, Jaafari D, Khalaj M, Dokouhaki P. A Survey of the Literature on Order-Picking Systems by Combining Planning Problems. Appl Sci 2021;11:10641. doi:10.3390/app112210641.
  • Casella G, Volpi A, Montanari R, Tebaldi L, Bottani E. Trends in order picking: a 2007–2022 review of the literature. Prod Manuf Res 2023;11(1). doi:10.1080/21693277.2023.2191115.
  • Vanheusden S, van Gils T, Ramaekers K, Cornelissens T, Caris A. Practical factors in order picking planning: state-of-the-art classification and review. Int J Prod Res 2023;61(6):2032–56. doi:10.1080/00207543.2022.2053223.
  • Ratliff HD, Rosenthal AS. Order picking in a rectangular warehouse: a solvable case of the traveling salesman problem. Operations Research 1983;31(3):507-521.
  • Goetschalckx M, Ratliff HD. Sequencing picking operations in a man-aboard order picking system. Material Flow 1988;4:255-263.
  • Roodbergen KJ, De Koster R. Routing order pickers in a warehouse with multiple cross aisles. In: Graves RJ, McGinnis LF, Medeiros DJ, Ward RE, Wilhelm MR, editors. Progress in Material Handling Research, Charlotte, NC: Material Handling Institute; 1998, p. 451-467.
  • Caron F, Marchet G, Perego A. Routing policies and COI-based storage policies in picker-to-part systems. International Journal of Production Research 1998;36(3):713-732.
  • Vaughan TS, Petersen CG. The effect of warehouse cross aisles on order picking efficiency. International Journal of Production Research 1999;37:881-897.
  • Petersen CG, Schmenner RW. An evaluation of routing and volume-based storage policies in an order picking operation. Decision Sciences 1999;30(2):481-501.
  • Roodbergen KJ, De Koster R. Routing methods for warehouses with multiple cross aisles. International Journal of Production Research 2001;39(9):1865-1883.
  • Petersen CG, Aase G. A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics 2004;92:11–19.
  • Manzini R, Gamberi M, Regattieri A. Design and control of a flexible order picking system (FOPS) a new integrated approach to the implementation of an expert system. Journal of Manufacturing Technology Management 2005;16(1):18–35.
  • Roodbergen KJ. Storage assignment policies for warehouses with multiple cross aisles. In: Meller R, Ogle MK, Peters BA, Taylor GD, Usher J, editors. Progress in Material Handling Research, 2005, p. 541–560.
  • Roodbergen KJ, Vis IFA. A model for warehouse layout. IIE Transactions 2006;38(10):799-811.
  • Parikh PJ, Meller RD. Selecting between batch and zone order picking strategies in a distribution center. Transportation Research Part E 2008;44(5):696-719.
  • Pan JCH, Shih PH. Evaluation of the throughput of a multiple-picker order picking system with congestion consideration. Computers and Industrial Engineering 2008;55(2):379-389.
  • Bindi F, Manzini R, Pareschi A, Regattieri A. Similarity-based storage allocation rules in an order picking system: an application to the food service industry. International Journal of Logistics: Research and Applications 2009;12(4):233-247.
  • Yu M, De Koster R. The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research 2009;198(2):480-490.
  • Lerher T, Potrc I, Sraml M. Simulation analysis of mini-load multi-shuttle automated storage and retrieval systems. International Journal of Advanced Manufacturing Technology 2011;54:337-348.
  • Pan JCH, Shih PH, Wu MH. Storage assignment problem with travel distance and blocking considerations for a picker-to-part order picking system. Computers and Industrial Engineering 2012;62:527-535.
  • Grosse EH, Glock CH, Neumann WP. Human factors in order picking: a content analysis of the literature. Int J Prod Res 2017;55(5):1260–76. doi:10.1080/00207543.2016.1186296.
  • Bottani E, Volpi A, Montanari R. Design and optimization of order picking systems: an integrated procedure and two case studies. Computers and Industrial Engineering 2019;137:106035. doi:10.1016/j.cie.2019.106035.
  • Zivanic D, Zelic A, Lalic B, Simeunovic N, Szabo L. Improving the order picking efficiency by optimising the orders' sequence. International Journal of Simulation Modelling 2019;18(1):125-137. doi:10.2507/IJSIMM18(1)469.
  • Masae M, Glock CH, Grosse EH. Order picker routing in warehouses: a systematic literature review. Int J Prod Econ 2020;224:107564. doi:10.1016/j.ijpe.2019.107564.
  • Vanheusden S, van Gils T, Caris A, Ramaekers K, Braekers K. Operational workload balancing in manual order picking. Comput Ind Eng 2020;141:106269. doi:10.1016/j.cie.2020.106269.
  • Jiang H. Solving multi-robot picking problem in warehouses: a simulation approach. International Journal of Simulation Modelling 2020;19(4):701-712. doi:10.2507/IJSIMM19-4-CO19.
  • Vanheusden S, van Gils T, Braekers K, Ramaekers K, Caris A. Analysing the effectiveness of workload balancing measures in order picking operations. International Journal of Production Research 2022;60(7):2126–50. doi:10.1080/00207543.2021.1884307.
  • Raghuram P, Jain SA, Mazumder S. Order picking and storage optimisation in a warehouse using agent-based modeling. International Journal of Operational Research 2023;48(1):47-62.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği, Paketleme, Depolama ve Taşımacılık (Gıda ve Tarım Ürünleri hariç)
Bölüm Araştırma Makalesi
Yazarlar

Gonca Tunçel 0000-0003-0389-5594

Gökçeçiçek Taşoğlu 0000-0001-5187-1832

Gönderilme Tarihi 3 Aralık 2024
Kabul Tarihi 20 Şubat 2025
Yayımlanma Tarihi 27 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 28 Sayı: 82

Kaynak Göster

Vancouver Tunçel G, Taşoğlu G. Simulation-Based Evaluation of Order Picking Systems with Integrated Inventory Replenishment. DEUFMD. 2026;28(82):1-7.

Bu dergi, Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY-NC 4.0) altında lisanslanmıştır.

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