Optimization of ULD Load Planning Using MILP: Mixed Integer Linear Programming
7th International Conference on Business and Industrial Research, ICBIR 2022
; : 155-160, 2022.
Article
in English
| Scopus | ID: covidwho-1922666
ABSTRACT
The spreading of the COVID-19 virus limits the transportation services capacity, which heavily impacts the logistics business. In air freight services, flight arrangement relies on the number of passengers traveling from/to different destinies. Soon after COVID-19 vigorously spread, minor flight operation and transportation charges suddenly increased to cover higher operating costs while carriers aimed to maintain a consistent profit. The objective of this paper is to minimize high air freight expenses and reduce manual load planning by implementing MILP (Mixed integer linear programming), which supports automating cargo load planning. Moreover, 3D Load Packer is introduced to validate the output of optimized value received from CPLEX Optimization Studio to ensure loading feasibility. As a result, this study provides significant benefits in load planning speed and profit enhancement. © 2022 IEEE.
3D Load Packer; CPLEX Optimization Studio; loading; MILP; optimization; unit load device (ULD); Integer programming; Operating costs; Profitability; Viruses; 3-D loads; Integer Linear Programming; Mixed integer linear; Mixed integer linear programming; Optimisations; Unit load device; Unit load devices; Studios
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
7th International Conference on Business and Industrial Research, ICBIR 2022
Year:
2022
Document Type:
Article
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