Optimization of aircraft container loading

Mongeau, Marcel; Bès, Christian

doi:10.1109/taes.2003.1188899

Cited by 69 publications

(54 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the field of ULD location problems, the papers by Mongeau and Be`s (2003) and Souffriau et al (2008) are the closest to our work. Even if this is not their first goal, they consider the ULD locations in the aircraft and their impact on the CG.…”

Section: Introductionsupporting

confidence: 56%

“…Other papers deal with passengers (see eg Tian et al, 2008), bulk freight (see eg Amiouny et al, 1992) or military items with specific properties. Finally, Mongeau and Be`s (2003) and Souffriau et al (2008) propose exact methods, whereas all other papers we have examined describe heuristics (see eg Fok and Chun, 2004). However, these two papers differ from our work on two important aspects.…”

Section: Introductionmentioning

confidence: 99%

“…A second important question is how to select the ULDs or items to load in an aircraft or a fleet of aircraft. Papers on this subject are split between military (Ng, 1992;Heidelberg et al, 1998;Gue´ret et al, 2003;Nance et al, 2011) and commercial applications (Mongeau and Be`s, 2003;Fok and Chun, 2004;Souffriau et al, 2008;Tian et al, 2008). Finally, as we do, some authors optimise the location of ULDs in an aircraft (see eg Amiouny et al, 1992;Mongeau and Be`s, 2003;Fok and Chun, 2004;Souffriau et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic aircraft cargo load planning

Limbourg

Schyns

Laporte

2012

Journal of the Operational Research Society

View full text Add to dashboard Cite

The goal of this paper is the development of a new mixed integer linear program designed for optimally loading a set of containers and pallets into a compartmentalised cargo aircraft. It is based on real-world problems submitted by a professional partner. This model takes into account strict technical and safety constraints. In addition to the standard goal of optimally positioning the centre of gravity, we also propose a new approach based on the moment of inertia. This double goal implies an increase in aircraft efficiency and a decrease in fuel consumption. Cargo loading generally remains a manual, or at best a computer-assisted, and time-consuming task. A fully automatic software was developed to quickly compute optimal solutions. Experimental results show that our approach achieves better solutions than manual planning, within only a few seconds.

show abstract

Section: Introductionsupporting

confidence: 56%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic aircraft cargo load planning

Limbourg

Schyns

Laporte

2012

Journal of the Operational Research Society

View full text Add to dashboard Cite

show abstract

“…According to Meller ''Although these formulations provide valuable insight on the CLP (see [20][21][22][23][24][25]), they assumed that both a set of cartons with known dimensions and the quantities of products are given. The models then select a number of cartons to pack a given set of products.…”

Section: Current Sizing Methodsmentioning

confidence: 99%

Containers for the Physical Internet: requirements and engineering design related to FMCG logistics

2015

View full text Add to dashboard Cite

One of the main key enablers for a successful realization of the Physical Internet (PI) scenario is a modular box that meets all requirements of an interconnected logistical network. To address all these requirements, a holistic approach including all needs of the shipping network is integrated in the methodical development process that leads to the modular box prototypes. This paper describes the methodological engineering process for the first approach to develop a modular and multifunctional load unit to implement a first real PI scenario in the fast-moving consumer goods industry. From the identified research questions, three different layers to point out in detail arise. Following the presentation of the sizing approach, engineering design is the main part. A technical view on loading PI unit loads completes this work. Several methods are applied on these different layers, and final results are presented. By highlighting the significance of technical aspects and introducing a methodological approach, the reader can pick out additional benefit from this work to use in familiar topics from engineering design in logistics.Keywords Physical Internet Á MODULUSHCA Á Modular box for fast-moving consumer goods Á First physical object of the Physical Internet Á Methodological engineering design process Á Realization of the Physical Internet

show abstract

“…A further extension of this work was Mathur (1998), which provided an algorithm with a better worst-case performance. A simple greedy heuristics for balancing was proposed in Amiouny et al (1992); a military application for loading air cargo was suggested in Ng (1992); and maximizing air freight loading while balancing the weight to minimize fuel consumption and satisfy stability and safety requirements was studied in Mongeau and Be`s (2003). Only one paper, by Huang and Chi (2007), deals with the air cargo consolidation problem for air freight forwarders, developing a heuristic algorithm to solve the problem by using a Lagrangian relaxation.…”

Section: Introductionmentioning

confidence: 99%

Modelling of containerized air cargo forwarding problems under uncertainty

2011

Journal of the Operational Research Society

View full text Add to dashboard Cite

This paper examines air container renting and cargo loading problems experienced by freight forwarding companies. Containers have to be booked in advance, in order to obtain discounted rental rates from airlines; renting or returning containers on the day of shipping will incur a heavy penalty. We first propose a mixed-integer model for the certain problem, in which shipment information is known with certainty, when booking. We then present a two-stage recourse model to handle the uncertainty problem, in which accurate shipment information cannot be obtained when booking, and all cargoes have to be shipped without delay. The first-stage decision is made at the booking stage, to book specific numbers of different types of containers. The second-stage decision is made on the day of shipping, depending on the extent to which the uncertainty has been realized. The decisions include number of additional containers of different types that are required to be rented, or the number of containers to be returned, under the scenario that might occur on the day of shipping. We then extend the recourse model into a robust model for dealing with the situation in which cargoes are allowed to be shipped later. The robust model provides a quantitative method to measure the trade-off between risk and cost. A series of experiments demonstrate the effectiveness of the robust model in dealing with risk and uncertainty.

show abstract

Optimization of aircraft container loading

Cited by 69 publications

References 11 publications

Automatic aircraft cargo load planning

Automatic aircraft cargo load planning

Containers for the Physical Internet: requirements and engineering design related to FMCG logistics

Modelling of containerized air cargo forwarding problems under uncertainty

Contact Info

Product

Resources

About