Araştırma Makalesi
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Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi

Yıl 2024, Cilt: 39 Sayı: 1, 203 - 216, 21.08.2023
https://doi.org/10.17341/gazimmfd.974331

Öz

Dijital teknolojilerin e-ticaret platformlarına hızlı bir şekilde entegrasyonu ile özellikle son yıllarda online satışlarda önemli ölçüde artışlar yaşanmaktadır. Ayrıca, müşterilerin yüzlerce e-ticaret firması arasındaki küresel rekabetin farkında olması, yüksek kalite, düşük fiyat, hızlı ve ücretsiz teslimat gibi müşteri beklentilerini hiç olmadığı kadar artırmaktadır. Buna karşılık, e-ticaret şirketleri artan beklentileri karşılayarak ve operasyonel maliyetleri en aza indirerek böylesine rekabetçi bir iş ortamında ayakta kalabilmek için lojistik sistemlerini yeniden gözden geçirmeye başlamışlardır. Böylece, şirketlerin çoğu yüksek operasyon süreleri ve işçilik maliyetleri ile karakterize edilen sipariş-toplama süreçlerine odaklanmışlardır. Bu yüzden, sipariş-toplama işlemlerini daha verimli ve kârlı hale getirmek için kolaboratif robotlar (kobotlar) birçok depoda kullanılmaya başlanmıştır. Toplama lokasyonları arasındaki uzaklığa bağlı olarak, bir kobot ya sipariş toplayıcı tarafından sürülebilir ya da sipariş toplayıcı yürürken otonom olarak sonraki toplama lokasyonuna hareket edebilir. Bu makale, kolaboratif robotların kullanıldığı depoların optimal tasarımlarını bulmak için iki seviyeli bir programlama modeli önermektedir. Üst-düzey model, sipariş-toplama süresini en aza indiren optimal şekil faktörünü (en-boy-oranı) belirlemek için kullanılırken; alt-düzey model, optimal rota ve iş birliği stratejisini belirlemektedir. Monte Carlo simülasyonu temelinde, toplama listesindeki sipariş sayısı küçükse şekil faktörünün sipariş toplama turunun uzunluğunu önemli ölçüde etkilediği gösterilmiştir. Ayrıca, optimal şekil faktörünün toplama listesi büyüklüğüne bağlı olarak değiştiği sonucuna varılmıştır.

Destekleyen Kurum

TÜBİTAK

Proje Numarası

1059B191900637

Teşekkür

Bu makalede bulunan çalışmalar TÜBİTAK (Türkiye Bilimsel Teknolojik ve Araştırma Kurumu) 1059B191900637 numaralı proje kapsamında yer almaktadır. Sağlanan destekten dolayı TÜBİTAK’a teşekkür ederiz.

Kaynakça

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Optimizing order-picking warehouse designs using collaborative robots

Yıl 2024, Cilt: 39 Sayı: 1, 203 - 216, 21.08.2023
https://doi.org/10.17341/gazimmfd.974331

Öz

With the rapid integration of digital technologies into e-commerce platforms, online sales have increased dramatically in recent years. Additionally, customers' awareness of the global competition among hundreds of e-commerce companies has increased their expectations such as high quality, low price, fast and free delivery like never before. In response, e-commerce companies have started revisiting their logistics systems to survive in such a business environment by meeting rising expectations and minimizing operational costs. Thus, most companies have been focused on order-picking processes, which are characterized by high operating times and labor costs. Accordingly, collaborative robots (cobots) have been used in many warehouses to make order-picking operations more efficient and profitable. Depending on the distance between pick locations, a cobot can either be ridden by the order picker or autonomously move to the next pick location while the order picker is walking. This paper proposes a bi-level programming model to find the optimal designs of order-picking warehouses employing collaborative robots. The top-level model is used to determine the optimal shape factor (width-to-depth ratio) minimizing the order-picking time; whereas, the bottom-level model determines the optimal route and collaboration strategy. Based on Monte Carlo simulation, it is shown that the shape factor significantly affects the length of an order-picking tour when the pick-list size is small. However, it is concluded that the optimal shape factor varies depending on the pick-list size.

Proje Numarası

1059B191900637

Kaynakça

  • R. Cop and D. Oyan, “Küçük Yerleşim Yerlerindeki Tüketicilerin, İnternetten Ürün Satın Alma Davranışları Üzerine Bir Uygulama,” Niğde Üniversitesi İktisadi ve İdari Bilim. Fakültesi Derg., vol. 3, no. 1, pp. 98–115, 2010.
  • Statista, “E-commerce share of total global retail sales from 2015 to 2024,” 2021. [Online]. Available: https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/.
  • E-ticaret bilgi platformu, “2020 Yılı E-Ticaret Verileri Açıklandı,” 2020. [Online]. Available: https://www.eticaret.gov.tr/haberler/10040/detay.
  • K. Gyllengahm, “Making material handling more efficient - Reduction of non-value-adding activities at a wood products company,” Swedish University of Agricultural Sciences, 2020.
  • The Establish Davis Database, “Logistics Cost and Service 2015,” 2015. [Online]. Available: https://www.establishinc.com/establish-davis-database.
  • Lojistik Sözlük Çalışma Grubu, “Lojistik,” 2021. http://www.lojistiksozluk.com/lojistik.html.
  • A. Bild and S. Svensson, “How third-party logistics provider can reduce non-value adding activities and total cost in the material handling process,” Linnaeus University, 2019.
  • J. A. Tompkins, J. A. White, Y. A. Bozer, and J. M. A. Tanchoco, Facilities planning, 4th ed. New York, NY: John Wiley & Sons, 2010.
  • A. Miller, “Order Picking for the 21st Century Voice vs. Scanning Technology,” 2004. [Online]. Available: https://www.logisticsit.com/absolutenm/articlefiles/688-voice_vs_scanning.pdf.
  • J. J. Bartholdi and S. T. Hackman, Warehouse & distribution science: release 0.98.1. Atlanta, GA: Supply Chain and Logistics Institute, 2019.
  • Crown Equipment Coorporation, “Crown QuickPickTM Remote: [Order Picking Technology]: Productivity. Motivation. Safety,” Order Picking Technology | QuickPick Remote | Crown Lift Trucks UK, 2013. https://www.crown.com/uk/forklifts/pdfs/brochures/order-picker-quickpick-remote-brochure-GB.pdf.
  • I. BigRentz, “How to use pallet jack,” 2019. https://www.bigrentz.com/blog/how-to-use-pallet-jack.
  • Associated, “Case Handling,” 2021. https://www.associated-solutions.com/automation/case-handling.
  • K. J. Roodbergen and I. F. A. Vis, “A survey of literature on automated storage and retrieval systems,” Eur. J. Oper. Res., vol. 194, no. 2, pp. 343–362, Apr. 2009, doi: 10.1016/j.ejor.2008.01.038.
  • K. Azadeh, R. De Koster, and D. Roy, “Robotized and automated warehouse systems: Review and recent developments,” Transp. Sci., vol. 53, no. 4, pp. 917–945, 2019, doi: 10.1287/trsc.2018.0873.
  • LogisticsIQ, “Warehouse Automation Market,” 2020. [Online]. Available: https://www.thelogisticsiq.com/research/warehouse-automation-market/.
  • R. De Koster, “Cobotic Order Picking Systems,” 2021. https://www.informs.org/Resource-Center/Video-Library/Webinars/Cobotic-Order-Picking-Systems.
  • Linde Material Handling, “Saving time and energy in the order picking process,” 2021. [Online]. Available: https://www.linde-mh.com/en/technical/News-Detail_4816317.html.
  • Ö. Öztürkoğlu and D. Hoşer, “Yeni bir depo tasarım problemi ve polinomsal zamanlı optimal sipariş toplama algoritması önerisi,” Gazi Üniversitesi Mühendislik Mimar. Fakültesi Derg., vol. 33, no. 4, pp. 1569–1588, 2018.
  • F. Caron, G. Marchet, and A. Perego, “Optimal layout in low-level picker-to-part systems,” Int. J. Prod. Res., vol. 38, no. 1, pp. 101–117, Jan. 2000, doi: 10.1080/002075400189608.
  • E. H. Grosse, C. H. Glock, and W. P. Neumann, “Human factors in order picking system design: A content analysis,” IFAC-PapersOnLine, vol. 28, no. 3, pp. 320–325, 2015, doi: 10.1016/j.ifacol.2015.06.101.
  • T. Van Gils, K. Ramaekers, A. Caris, and R. B. M. de Koster, “Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review,” Eur. J. Oper. Res., vol. 267, no. 1, pp. 1–15, May 2018, doi: 10.1016/j.ejor.2017.09.002.
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Toplam 69 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Mahmut Tutam 0000-0002-2018-5458

Proje Numarası 1059B191900637
Erken Görünüm Tarihi 15 Haziran 2023
Yayımlanma Tarihi 21 Ağustos 2023
Gönderilme Tarihi 25 Temmuz 2021
Kabul Tarihi 16 Ocak 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 39 Sayı: 1

Kaynak Göster

APA Tutam, M. (2023). Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 39(1), 203-216. https://doi.org/10.17341/gazimmfd.974331
AMA Tutam M. Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi. GUMMFD. Ağustos 2023;39(1):203-216. doi:10.17341/gazimmfd.974331
Chicago Tutam, Mahmut. “Kolaboratif Robot kullanılan Sipariş-Toplama Depo tasarımlarının Eniyilenmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 39, sy. 1 (Ağustos 2023): 203-16. https://doi.org/10.17341/gazimmfd.974331.
EndNote Tutam M (01 Ağustos 2023) Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 39 1 203–216.
IEEE M. Tutam, “Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi”, GUMMFD, c. 39, sy. 1, ss. 203–216, 2023, doi: 10.17341/gazimmfd.974331.
ISNAD Tutam, Mahmut. “Kolaboratif Robot kullanılan Sipariş-Toplama Depo tasarımlarının Eniyilenmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 39/1 (Ağustos 2023), 203-216. https://doi.org/10.17341/gazimmfd.974331.
JAMA Tutam M. Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi. GUMMFD. 2023;39:203–216.
MLA Tutam, Mahmut. “Kolaboratif Robot kullanılan Sipariş-Toplama Depo tasarımlarının Eniyilenmesi”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, c. 39, sy. 1, 2023, ss. 203-16, doi:10.17341/gazimmfd.974331.
Vancouver Tutam M. Kolaboratif robot kullanılan sipariş-toplama depo tasarımlarının eniyilenmesi. GUMMFD. 2023;39(1):203-16.