Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Kavirathna, C."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Thumbnail Image
    Item
    Solve Manufacturer’s Pallet Loading Problem (MPLP) with Practical Warehouse Constraints
    (International Conference on Information Technology Research, 2021) Gunawardena, K.; Wijayanayake, A.; Kavirathna, C.
    This study presents a two-phase algorithm for solving the Manufacturer’s Pallet Loading Problem (MPLP) while considering overhang and stability constraints using a block approach. The MPLP involves determining a loading pattern that can load the most identical rectangular boxes onto a larger rectangular pallet. The proposed model is developed to obtain the maximum number of boxes that could be loaded onto a layer considering and without considering the overhang according to eight predetermined block arrangements (BAs) in the first phase. Then, the obtained overhang solutions are checked against the stability constraint in the second phase. Finally, the maximum number of boxes per layer is determined based on the results from the two phases. The validity and the performance of the proposed algorithm have been tested on available datasets in the literature. The proposed algorithm increased the number of boxes per layer; one to six boxes while considering overhang and stability, improving the pallet area utilization by 2.5% up to 14.3% for the tested datasets.

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify