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Delft University of Technology

1. Hermans, Carlos (author). Several approaches to model multi-commodity dynamical flow: on a package transport network.

Degree: 2019, Delft University of Technology

This thesis investigates several kinds of models of describing multi-commodity dynamical flow. Three models have been developed for a spatial logistic network, on which packages are delivered by vehicles and another model was developed to describe interactions between the customers, the stores and the deliverers, which does not explicitly take delivery time into account like before. The former three models consist of an agent-based model (ABM), and two different (differential) equation-based models (EBMs). One of the EBMs is built from the bottom up, and was created by averaging the randomness in the ABM. The other EBM was built top-down and involved optimizing a general model with respect to some parameters, such that its solution resembles the ABM solution as closely as possible. These three models were tested and compared in the first half of the thesis. In the second part of the thesis, the focus shifted to a generalized model (GM) approach of underlying interactions on multi-commodity dynamical flow networks; especially the dynamics describing order placement, scheduling and delivery. Such a network is cyclic and contains a feedback loop, where customers are less likely to order more products if they were recently delivered. This can range from someone not needing to purchase a car if they just bought a brand new one to one not needing to order dinner when they just did so. Such networks are in general described by four kinds of elasticities in this thesis, namely the elasticities to stock, inventory level, saturation, and co-production. These influence different parts in the network. For example, the negative elasticities to inventory level model that high inventory levels inhibit more inventory production, to prevent build-up, and low inventory levels allow for larger inventory production, to prevent drainage. The other elasticities fulfil similar roles. This model was tested using a bifurcation analysis, a statistical ensemble method and by computing influences and sensitivities of parts and nodes in the network.

Computational Science and Engineering

Advisors/Committee Members: Dubbeldam, Johan (mentor), Stam, Andries (mentor), Schuttelaars, Henk (graduation committee), van Essen, Theresia (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Agent-Based Modeling; Differential Equations; Generalized Models; Dynamical flow; Multi-commodity; Logistics; Bifurcation; Package transport

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hermans, C. (. (2019). Several approaches to model multi-commodity dynamical flow: on a package transport network. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:cb378d8b-02b9-42dd-812c-36556a0f6902

Chicago Manual of Style (16th Edition):

Hermans, Carlos (author). “Several approaches to model multi-commodity dynamical flow: on a package transport network.” 2019. Masters Thesis, Delft University of Technology. Accessed November 24, 2020. http://resolver.tudelft.nl/uuid:cb378d8b-02b9-42dd-812c-36556a0f6902.

MLA Handbook (7th Edition):

Hermans, Carlos (author). “Several approaches to model multi-commodity dynamical flow: on a package transport network.” 2019. Web. 24 Nov 2020.

Vancouver:

Hermans C(. Several approaches to model multi-commodity dynamical flow: on a package transport network. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 24]. Available from: http://resolver.tudelft.nl/uuid:cb378d8b-02b9-42dd-812c-36556a0f6902.

Council of Science Editors:

Hermans C(. Several approaches to model multi-commodity dynamical flow: on a package transport network. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:cb378d8b-02b9-42dd-812c-36556a0f6902

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