| dc.description.abstract | The problem that exists in the Modena warehouse at PT DSV Solutions Indonesia is
that the product layout is still not in accordance with the warehouse layout rules, as
indicated by the large amount of empty space that has not been filled with products and
placement that is not based on the intensity of product movement. This problem is
because the product layout still uses the randomize storage principle, where the
product layout in the warehouse is arranged arbitrarily and product filling is only done
by filling in empty spaces. The use of the randomize storage principle is due to
problems for warehouse admins in analysing space requirements and throughput
(product activity) with complex models repetitively, so that it has an impact on the
efficiency of space utilisation and the total distance of order picking. The purpose of
this research is to design a python website-based decision support system to support
the product relayout process in the warehouse. The proposed method is class cased
storage. The class-based storage method with the ABC classification principle will
classify products based on space requirements and throughput (product activity). The
ratio of throughput (product activity) to space requirement will affect product rank
which will affect product placement. The greater the throughput (product activity), the
higher the product rank. The inversely proportional to the space requirement, the
greater the space required, the lower the product rank. Processing of the decision
support system with the ABC classification principle shows that there are 14 products
that belong to class A, 22 products that belong to class B, and 36 products that belong
to class C. After that, the calculation of space utilisation efficiency is carried out. Then
the calculation of order picking mileage is carried out. The results showed that space
utilisation efficiency increased and order picking distance decreased | en_US |
