The management of food boxes packing problems in rectangular containers using the heuristic method

Penpark Sirimark, . and Thawatchai Boontan, . and Sanchai Yotmanee, . The management of food boxes packing problems in rectangular containers using the heuristic method. pp. 130-138. ISSN 2672-7226

The increase in consumer demand for food has caused issues concerning the delivery of food packages. This is due to the limited volume of containers available for packing food. This in turn has caused problems in the movement and shipment of food boxes from food manufacturers and postal delivery services. The purpose of this research is to identify an optimum solution for the volume of food containers so that storage space can be reduced which in turn will reduce storage costs. It is also desirable to reduce handling and shipment times to achieve greater efficiency in delivery. In order to achieve this heuristic algorithms were applied based on a genetic algorithm (GA) and simulated annealing (SA) which is combined with the Axis Order Test (AOT) and Corner Point Placing (CPP). The computational performance of the GA-AOT GACPP SA-AOT and SA-CPP models is then compared. The results showed that the SA-CPP model is more effective compared with the SA-AOT GA-CPP and GA-AOT models as the number of containers was optimized to be at the minimum number. This resulted in a shorter packaging time and provides the desired reduction of costs in shipment of food containers

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Abstract

The increase in consumer demand for food has caused issues concerning the delivery of food packages. This is due to the limited volume of containers available for packing food. This in turn has caused problems in the movement and shipment of food boxes from food manufacturers and postal delivery services. The purpose of this research is to identify an optimum solution for the volume of food containers so that storage space can be reduced which in turn will reduce storage costs. It is also desirable to reduce handling and shipment times to achieve greater efficiency in delivery. In order to achieve this heuristic algorithms were applied based on a genetic algorithm (GA) and simulated annealing (SA) which is combined with the Axis Order Test (AOT) and Corner Point Placing (CPP). The computational performance of the GA-AOT GACPP SA-AOT and SA-CPP models is then compared. The results showed that the SA-CPP model is more effective compared with the SA-AOT GA-CPP and GA-AOT models as the number of containers was optimized to be at the minimum number. This resulted in a shorter packaging time and provides the desired reduction of costs in shipment of food containers

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Item Type:	Article
AGROVOC Term:	Food industry
AGROVOC Term:	Packaging boxes
AGROVOC Term:	Management
AGROVOC Term:	Food processing equipment
AGROVOC Term:	Packing (process)
AGROVOC Term:	food storage
AGROVOC Term:	Packaging
AGROVOC Term:	Operating costs
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/9634

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