Quality-aware predictive scheduling of raw perishable material transports

Xiao Lin; Rudy Negenborn; Gabri Lodewijks

doi:10.1007/978-3-319-45117-6_6

Quality-aware predictive scheduling of raw perishable material transports

Xiao Lin, Rudy Negenborn, Gabri Lodewijks

Transport Engineering and Logistics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

This paper proposes a new mathematical model for predictive scheduling of perishable material transports with the aim of reducing losses of perishable goods. The model is particularly designed for allocation of potatoes from several farms to a nearby starch mill, which produces starch from a limited amount of potatoes each day. Scheduling should determine how much amount of potatoes be sent from which farm to the mill on each day. It is known that the quality of potatoes decreases over time and as a result less starch is produced. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive approaches.

Original language	English
Title of host publication	Dynamics in Logistics
Subtitle of host publication	Proceedings of the 5th International Conference LDIC
Editors	Michael Freitag, Herbert Kotzab, Jürgen Pannek
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	65-76
ISBN (Electronic)	978-3-319-45117-6
ISBN (Print)	78-3-319-45116-9
DOIs	https://doi.org/10.1007/978-3-319-45117-6_6
Publication status	Published - 2016
Event	5th International Conference on Dynamics in Logistics - Bremen, Germany Duration: 22 Feb 2016 → 25 Feb 2016

Publication series

Name	Lecture Notes in Logistics
ISSN (Print)	2194-8917
ISSN (Electronic)	2194-8925

Conference

Conference	5th International Conference on Dynamics in Logistics
Abbreviated title	LDIC 2016
Country/Territory	Germany
City	Bremen
Period	22/02/16 → 25/02/16

Keywords

Transport scheduling
Predictive control
Perishable products
Kinetics modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-45117-6_6

Cite this

@inproceedings{5198a106ff484fc2bb1a8a40dce9fde0,

title = "Quality-aware predictive scheduling of raw perishable material transports",

abstract = "This paper proposes a new mathematical model for predictive scheduling of perishable material transports with the aim of reducing losses of perishable goods. The model is particularly designed for allocation of potatoes from several farms to a nearby starch mill, which produces starch from a limited amount of potatoes each day. Scheduling should determine how much amount of potatoes be sent from which farm to the mill on each day. It is known that the quality of potatoes decreases over time and as a result less starch is produced. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive approaches.",

keywords = "Transport scheduling, Predictive control, Perishable products, Kinetics modeling",

author = "Xiao Lin and Rudy Negenborn and Gabri Lodewijks",

year = "2016",

doi = "10.1007/978-3-319-45117-6_6",

language = "English",

isbn = "78-3-319-45116-9",

series = "Lecture Notes in Logistics",

publisher = "Springer",

pages = "65--76",

editor = "Michael Freitag and Herbert Kotzab and J{\"u}rgen Pannek",

booktitle = "Dynamics in Logistics",

note = "5th International Conference on Dynamics in Logistics, LDIC 2016 ; Conference date: 22-02-2016 Through 25-02-2016",

}

Lin, X, Negenborn, R & Lodewijks, G 2016, Quality-aware predictive scheduling of raw perishable material transports. in M Freitag, H Kotzab & J Pannek (eds), Dynamics in Logistics: Proceedings of the 5th International Conference LDIC. Lecture Notes in Logistics, Springer, Cham, Switzerland, pp. 65-76, 5th International Conference on Dynamics in Logistics, Bremen, Germany, 22/02/16. https://doi.org/10.1007/978-3-319-45117-6_6

Quality-aware predictive scheduling of raw perishable material transports. / Lin, Xiao; Negenborn, Rudy; Lodewijks, Gabri.
Dynamics in Logistics: Proceedings of the 5th International Conference LDIC. ed. / Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham, Switzerland: Springer, 2016. p. 65-76 (Lecture Notes in Logistics).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Quality-aware predictive scheduling of raw perishable material transports

AU - Lin, Xiao

AU - Negenborn, Rudy

AU - Lodewijks, Gabri

PY - 2016

Y1 - 2016

N2 - This paper proposes a new mathematical model for predictive scheduling of perishable material transports with the aim of reducing losses of perishable goods. The model is particularly designed for allocation of potatoes from several farms to a nearby starch mill, which produces starch from a limited amount of potatoes each day. Scheduling should determine how much amount of potatoes be sent from which farm to the mill on each day. It is known that the quality of potatoes decreases over time and as a result less starch is produced. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive approaches.

AB - This paper proposes a new mathematical model for predictive scheduling of perishable material transports with the aim of reducing losses of perishable goods. The model is particularly designed for allocation of potatoes from several farms to a nearby starch mill, which produces starch from a limited amount of potatoes each day. Scheduling should determine how much amount of potatoes be sent from which farm to the mill on each day. It is known that the quality of potatoes decreases over time and as a result less starch is produced. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive approaches.

KW - Transport scheduling

KW - Predictive control

KW - Perishable products

KW - Kinetics modeling

U2 - 10.1007/978-3-319-45117-6_6

DO - 10.1007/978-3-319-45117-6_6

M3 - Conference contribution

SN - 78-3-319-45116-9

T3 - Lecture Notes in Logistics

SP - 65

EP - 76

BT - Dynamics in Logistics

A2 - Freitag, Michael

A2 - Kotzab, Herbert

A2 - Pannek, Jürgen

PB - Springer

CY - Cham, Switzerland

T2 - 5th International Conference on Dynamics in Logistics

Y2 - 22 February 2016 through 25 February 2016

ER -

Quality-aware predictive scheduling of raw perishable material transports

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this