Department of Economics and Business Economics

Simon Emde

Integrated truck and workforce scheduling to accelerate the unloading of trucks

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Standard

Integrated truck and workforce scheduling to accelerate the unloading of trucks. / Tadumadze, Giorgi; Boysen, Nils; Emde, Simon; Weidinger, Felix.

In: European Journal of Operational Research, Vol. 278, No. 1, 01.10.2019, p. 343-362.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Tadumadze, G, Boysen, N, Emde, S & Weidinger, F 2019, 'Integrated truck and workforce scheduling to accelerate the unloading of trucks', European Journal of Operational Research, vol. 278, no. 1, pp. 343-362. https://doi.org/10.1016/j.ejor.2019.04.024

APA

Tadumadze, G., Boysen, N., Emde, S., & Weidinger, F. (2019). Integrated truck and workforce scheduling to accelerate the unloading of trucks. European Journal of Operational Research, 278(1), 343-362. https://doi.org/10.1016/j.ejor.2019.04.024

CBE

Tadumadze G, Boysen N, Emde S, Weidinger F. 2019. Integrated truck and workforce scheduling to accelerate the unloading of trucks. European Journal of Operational Research. 278(1):343-362. https://doi.org/10.1016/j.ejor.2019.04.024

MLA

Tadumadze, Giorgi et al. "Integrated truck and workforce scheduling to accelerate the unloading of trucks". European Journal of Operational Research. 2019, 278(1). 343-362. https://doi.org/10.1016/j.ejor.2019.04.024

Vancouver

Tadumadze G, Boysen N, Emde S, Weidinger F. Integrated truck and workforce scheduling to accelerate the unloading of trucks. European Journal of Operational Research. 2019 Oct 1;278(1):343-362. https://doi.org/10.1016/j.ejor.2019.04.024

Author

Tadumadze, Giorgi ; Boysen, Nils ; Emde, Simon ; Weidinger, Felix. / Integrated truck and workforce scheduling to accelerate the unloading of trucks. In: European Journal of Operational Research. 2019 ; Vol. 278, No. 1. pp. 343-362.

Bibtex

@article{afd290c21b4f422a8e23fad9cbab83e3,
title = "Integrated truck and workforce scheduling to accelerate the unloading of trucks",
abstract = "Truck scheduling coordinates the loading and unloading processes of trucks competing for the timely processing at some terminal, e.g., a cross-docking terminal or distribution center. Existing research almost invariably assumes that the (un-)loading times of trucks are fixed. In the real-world, however, terminal managers have the additional flexibility of adapting the workforce for processing critical trucks. For instance, two instead of one worker can be assigned to jointly unload the parcels of a trailer reaching a terminal of the postal service industry onto a conveyor, or an additional forklift can support the removal of pallets from a truck in a distribution center. Thus, workforce management influences the processing times of trucks and a simultaneous planning of both tasks seems advisable. For two representative truck scheduling settings, mixed-integer models integrating workforce planning and truck scheduling are presented. Furthermore, we re-formulate the problems as interval scheduling problems and develop heuristics based on these formulations. Finally, the holistic planning models are compared with alternative models assuming a fixed workforce. Our findings reveal that integrated planning can considerably increase the performance of truck scheduling in terms of total flow time and punctuality.",
keywords = "Controllable processing times, Integrated planning, Interval scheduling, Scheduling, Truck and personnel scheduling",
author = "Giorgi Tadumadze and Nils Boysen and Simon Emde and Felix Weidinger",
year = "2019",
month = oct,
day = "1",
doi = "10.1016/j.ejor.2019.04.024",
language = "English",
volume = "278",
pages = "343--362",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier BV",
number = "1",

}

RIS

TY - JOUR

T1 - Integrated truck and workforce scheduling to accelerate the unloading of trucks

AU - Tadumadze, Giorgi

AU - Boysen, Nils

AU - Emde, Simon

AU - Weidinger, Felix

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Truck scheduling coordinates the loading and unloading processes of trucks competing for the timely processing at some terminal, e.g., a cross-docking terminal or distribution center. Existing research almost invariably assumes that the (un-)loading times of trucks are fixed. In the real-world, however, terminal managers have the additional flexibility of adapting the workforce for processing critical trucks. For instance, two instead of one worker can be assigned to jointly unload the parcels of a trailer reaching a terminal of the postal service industry onto a conveyor, or an additional forklift can support the removal of pallets from a truck in a distribution center. Thus, workforce management influences the processing times of trucks and a simultaneous planning of both tasks seems advisable. For two representative truck scheduling settings, mixed-integer models integrating workforce planning and truck scheduling are presented. Furthermore, we re-formulate the problems as interval scheduling problems and develop heuristics based on these formulations. Finally, the holistic planning models are compared with alternative models assuming a fixed workforce. Our findings reveal that integrated planning can considerably increase the performance of truck scheduling in terms of total flow time and punctuality.

AB - Truck scheduling coordinates the loading and unloading processes of trucks competing for the timely processing at some terminal, e.g., a cross-docking terminal or distribution center. Existing research almost invariably assumes that the (un-)loading times of trucks are fixed. In the real-world, however, terminal managers have the additional flexibility of adapting the workforce for processing critical trucks. For instance, two instead of one worker can be assigned to jointly unload the parcels of a trailer reaching a terminal of the postal service industry onto a conveyor, or an additional forklift can support the removal of pallets from a truck in a distribution center. Thus, workforce management influences the processing times of trucks and a simultaneous planning of both tasks seems advisable. For two representative truck scheduling settings, mixed-integer models integrating workforce planning and truck scheduling are presented. Furthermore, we re-formulate the problems as interval scheduling problems and develop heuristics based on these formulations. Finally, the holistic planning models are compared with alternative models assuming a fixed workforce. Our findings reveal that integrated planning can considerably increase the performance of truck scheduling in terms of total flow time and punctuality.

KW - Controllable processing times

KW - Integrated planning

KW - Interval scheduling

KW - Scheduling

KW - Truck and personnel scheduling

UR - http://www.scopus.com/inward/record.url?scp=85065214543&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2019.04.024

DO - 10.1016/j.ejor.2019.04.024

M3 - Journal article

AN - SCOPUS:85065214543

VL - 278

SP - 343

EP - 362

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -