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Yeni Bir Sezgisel Yöntem ile Tek Blok Tek Koridor Depo Yerleştirme Probleminin Çözümü

Year 2018, Volume: 10 Issue: 3, 31 - 39, 31.12.2018
https://doi.org/10.29137/umagd.474525

Abstract

İnternet üzerinden yapılan toplam alışveriş tutarı her yıl artmaktadır. İnternet üzerinden ticaretin artması ile daha küçük miktarlarda daha fazla çeşitte ürün sipariş etme talebi ön plana çıkmaktadır. Bu durum, literatürde müşteri odaklı sipariş verme olarak adlandırılmaktadır. İnternet üzerinden ticaret yapan firmaların rekabette yarışabilmelerinin en temel yeterliliği ise etkin depo yönetiminin sağlanmasıdır. Bu nedenle şirketler depo yönetimine gittikçe daha fazla önem vermektedir. Bu çalışmada müşteri odaklı sipariş toplama yapılan tek blok tek koridor depo yerleştirme problemi çözümünde yeni bir sezgisel yöntem sunulmuştur. Geliştirilen sezgisel yöntem sipariş ve öğelerin benzerliklerini dikkate almaktadır. Bu yeni sezgisel yöntem literatürde var olan veri seti kullanılarak daha önceden geliştirilmiş olan sipariş öğe miktarı yöntemi çözümü ve önceki çalışmadan farklı olarak herhangi bir yönteme dayanmayan rastgele belirlenen bir çözüm ile karşılaştırılmıştır. Karşılaştırma sonucunda, dikkate alınan veriye göre Depo yönetimiyeni geliştirilen sezgisel yöntemin daha kısa toplama mesafesinde çözüm bulduğu belirlenmiştir.

References

  • Liu, C. M. (1999). Clustering techniques for stock location and order-picking in a distribution centre. Computers and Operations Research, 26 (10), 989–1002. Doi: 10.1016/S0305-0548(99)00026-X.
  • Lin, C.-H., & Lu, I.-Y. (1999). The procedure of determining the order picking strategies in distribution center. International Journal of Production Economics, 60–61, 301–307. Doi: 10.1016/S0925-5273(98)00188-1.
  • Liu, C. M. (2004).Optimal storage layout and order picking for warehousing. International Journal of Operations Research, 1(1), 37–46.
  • 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. Doi: 10.1016/j.ejor.2006.07.009.
  • Chuang, Y., Lee, H., Lai, Y. (2012). Item-associated cluster assignment model on storage allocation problems. Computers & Industrial Engineering, 63, 4, 1171-1177. Doi: 10.1016/j.cie.2012.06.02.1
  • Diaz, R. (2016). Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units. International Journal of Production Research, 54, 8, 2487–2498. Doi: 10.1080/00207543.2015.1106605.
  • Li, J., Huang R., Dai, J.B. (2017). Joint optimisation of order batching and picker routing in the online retailer’s warehouse in China. International Journal of Production Research, 55:2, 447-461. Doi: 10.1080/00207543.2016.1187313.
  • Dijkstra, A.S., Roodbergen, K.J. (2017). Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses. Transportation Research Part E, 102, 38–59. Doi: 10.1016/j.tre.2017.04.003.
  • Accorsi, R., Baruffaldi, G., Manzini, R. (2018). Picking efficiency and stock safety: A bi-objective storage assignment policy for temperature-sensitive products. Computers & Industrial Engineering, 115, 240-252. Doi: 10.1016/j.cie.2017.11.009.
  • Şenyiğit, E., Bozdoğan, A. (2018). Tek blok tek koridor depo yerleştirme problem için yeni bir sezgisel yöntem. II. Uluslararası Bilimsel ve Mesleki Çalışmalar Kongresi bildiriler kitabı, 1, 636-642.

The Solution of One-block One-Aisle Storage Allocation Problem by a New Heuristic Method

Year 2018, Volume: 10 Issue: 3, 31 - 39, 31.12.2018
https://doi.org/10.29137/umagd.474525

Abstract

The total amount of shopping on the internet is increasing every year. The demand for ordering more variety of products in smaller quantities with the increase of the trade on the internet comes to the forefront. This is referred to in the literature as customerfocused ordering. The most basic competence of companies that trade online is to provide efficient warehouse management. For this reason, companies are increasingly paying more attention to warehouse management. In this study, a new heuristic method has been presented to solve the problem of one block one aisle storage allocation with customer-focused ordering. This new heuristic method has been compared with the previously developed Order Item Quantity method solution and unlike previous work, a random solution using the existing data set in the literature. As a result of the comparison, it was determined that the newly developed heuristic method, based on the consideration given, found a solution at a shorter picking distance.

References

  • Liu, C. M. (1999). Clustering techniques for stock location and order-picking in a distribution centre. Computers and Operations Research, 26 (10), 989–1002. Doi: 10.1016/S0305-0548(99)00026-X.
  • Lin, C.-H., & Lu, I.-Y. (1999). The procedure of determining the order picking strategies in distribution center. International Journal of Production Economics, 60–61, 301–307. Doi: 10.1016/S0925-5273(98)00188-1.
  • Liu, C. M. (2004).Optimal storage layout and order picking for warehousing. International Journal of Operations Research, 1(1), 37–46.
  • 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. Doi: 10.1016/j.ejor.2006.07.009.
  • Chuang, Y., Lee, H., Lai, Y. (2012). Item-associated cluster assignment model on storage allocation problems. Computers & Industrial Engineering, 63, 4, 1171-1177. Doi: 10.1016/j.cie.2012.06.02.1
  • Diaz, R. (2016). Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units. International Journal of Production Research, 54, 8, 2487–2498. Doi: 10.1080/00207543.2015.1106605.
  • Li, J., Huang R., Dai, J.B. (2017). Joint optimisation of order batching and picker routing in the online retailer’s warehouse in China. International Journal of Production Research, 55:2, 447-461. Doi: 10.1080/00207543.2016.1187313.
  • Dijkstra, A.S., Roodbergen, K.J. (2017). Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses. Transportation Research Part E, 102, 38–59. Doi: 10.1016/j.tre.2017.04.003.
  • Accorsi, R., Baruffaldi, G., Manzini, R. (2018). Picking efficiency and stock safety: A bi-objective storage assignment policy for temperature-sensitive products. Computers & Industrial Engineering, 115, 240-252. Doi: 10.1016/j.cie.2017.11.009.
  • Şenyiğit, E., Bozdoğan, A. (2018). Tek blok tek koridor depo yerleştirme problem için yeni bir sezgisel yöntem. II. Uluslararası Bilimsel ve Mesleki Çalışmalar Kongresi bildiriler kitabı, 1, 636-642.
There are 10 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Ercan Şenyiğit 0000-0002-9388-2633

Ayşegül Bozdoğan This is me

Publication Date December 31, 2018
Submission Date October 24, 2018
Published in Issue Year 2018 Volume: 10 Issue: 3

Cite

APA Şenyiğit, E., & Bozdoğan, A. (2018). Yeni Bir Sezgisel Yöntem ile Tek Blok Tek Koridor Depo Yerleştirme Probleminin Çözümü. International Journal of Engineering Research and Development, 10(3), 31-39. https://doi.org/10.29137/umagd.474525

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