Development of fuzzy linear programming model for the aircraft payload and center of gravity problem with logistical risk constraints
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ID: 286935
2023
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Abstract
Apart from relying on commercial passenger travel, airline operators recently have increased their reliance on revenue generated from air freight transport. Inspiring a resurgence and forecast of greater market share for aircraft specific to air freight. Air cargo freighters look at streamlining several workflow steps in the air cargo loading process to achieve competitive and cost-effective operations. One such task is the selection and loading of an aircraft with its designated payload as stakeholders are keen on visualizing the scope of this problem and understanding the trade-offs between economic objectives, commercial objectives, and design constraints. This is described as the Aircraft Weight and Balance problem, which is a deceptively complex problem that presents itself as a generalized assignment problem. This study presents the development of a fuzzy linear programming model as a decision support tool for air cargo operations in the selection and placement of payload for an optimally transported freight. In contrast with previous studies, which had only considered one or two objectives for optimization, the proposed fuzzy linear programming model allows to maximize the payload, maximize the priority score of the selected cargo, and minimize the total operational cost score related to the cargo. The study considers a baseline case study compared against 3 situational analysis cases where modifications have been introduced onto the model by changing priority scores and additional selection constraints to replicate real-world scenarios, in these case studies the FMILP model solution is compared with singular optimization models and the results show pareto-optimal solutions that effectively provide a solution meeting the objectives and constraints within a reasonable solver run-time. The solutions provided by the FMILP model, when compared against the situational cases show that it is an effective tool for stakeholders to visualize the constraints of the operations and identify improvement points in considering business goals and aircraft regulatory and design constraints.
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| Authors | Macalintal, Juan Miguel V. |
| Journal | Malay Journal |
| Year | 2023 |
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| Keywords | Keywords not found |
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