A Construction Heuristic for the Bin-Packing Problem with Time Windows: A Case Study in Thailand
This study aims to improve the efficiency of distribution for food manufacturers, extending previous research that solved the bin-packing problem with time windows (BPPTW) using integer programming (IP) and Microsoft Excel Solver. The drawback of this approach is that it has difficulty solving l...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universitas Indonesia
2021-04-01
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Series: | International Journal of Technology |
Subjects: | |
Online Access: | https://ijtech.eng.ui.ac.id/article/view/3366 |
Summary: | This
study aims to improve the efficiency of distribution for food manufacturers,
extending previous research that solved the bin-packing problem with time
windows (BPPTW) using integer programming (IP) and Microsoft Excel Solver. The
drawback of this approach is that it has difficulty solving large problems. In
the future, the number of customers is expected to increase, and therefore, we
propose a construction heuristic that can solve the BPPTW within a shorter
time. The algorithm was designed to allocate customers who had time window
constraints first to ensure that only feasible solutions were generated. The
program was written in Visual Basic for Applications (VBA) in Excel because it
is convenient to use for decision makers. The data were then solved using a
heuristic. The results showed that the heuristic can solve real problems with
the optimal solution. We showed that, by using these two methods, the annual
transportation cost is reduced by 23.23%, or 489,450 baht per year, and the
computational time is drastically reduced. Next, we generated larger problems
and compared the computational times for the two methods. We showed that the
Solver cannot handle a problem involving more than 32 customers, and that it
takes more time as the problem size increases. In contrast, the construction
heuristic can solve the problem within 1 minute. Hence, it is more attractive
to use our heuristic than IP as a decision support tool for a case company’s
transportation department. |
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ISSN: | 2086-9614 2087-2100 |