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Development of a decision support system for air-cargo pallets loading problem: A case study by Felix T.S. Chan; Rajat Bhagwat; N. Kumar; M.K. Tiwari; Philip Lam is a Computer Science article available to read on EtoBox.

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This paper presents a two-phase intelligent Decision Support System (DSS) for Air-Cargo Loading Problem (ACLP). This problem can also be viewed as three dimensional, non-identical, multiple bin-packing problem because of the different shapes and specification for the air cargo pallets. Phase-I of the proposed decision support system discusses the Linear Programming (LP) model to decide the lower bound for global minimum cost of pallets to load the available cargo based on its weight and volume. Phase-II heuristic of the proposed system efficiently loads the cargo-boxes and generates the loading plan of each pallets with minimum deviation from the lower bound, decided in earlier phase-I, would be the most suited one. The contribution of this paper lies in developing a new approach for the three-dimensional loading plan of the air cargoes on the different shaped and sized pallets. The constraints related to the shape and size of the pallets, related to the airlines and the shipping destination are also taken in account in the proposed system, which are not adequately discussed in the previous literatures. For ranking of cargo-boxes, a method of rank revision based on left empty-space

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Author

Felix T.S. Chan; Rajat Bhagwat; N. Kumar; M.K. Tiwari; Philip Lam

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0957-4174)

Published

2006

Language

EN

Field

Computer Science (Physical Sciences)