Standard

Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses. / Gössinger, Ralf; Pishchulov, Grigory; Dobos, Imre.

Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018. ed. / Bernard Fortz; Martine Labbé. Cham : Springer Nature, 2019. p. 277-284 (Operations Research Proceedings).

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Harvard

Gössinger, R, Pishchulov, G & Dobos, I 2019, Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses. in B Fortz & M Labbé (eds), Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018. Operations Research Proceedings, Springer Nature, Cham, pp. 277-284. https://doi.org/10.1007/978-3-030-18500-8_35

APA

Gössinger, R., Pishchulov, G., & Dobos, I. (2019). Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses. In B. Fortz, & M. Labbé (Eds.), Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018 (pp. 277-284). (Operations Research Proceedings). Springer Nature. https://doi.org/10.1007/978-3-030-18500-8_35

Vancouver

Gössinger R, Pishchulov G, Dobos I. Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses. In Fortz B, Labbé M, editors, Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018. Cham: Springer Nature. 2019. p. 277-284. (Operations Research Proceedings). https://doi.org/10.1007/978-3-030-18500-8_35

Author

Gössinger, Ralf ; Pishchulov, Grigory ; Dobos, Imre. / Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses. Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018. editor / Bernard Fortz ; Martine Labbé. Cham : Springer Nature, 2019. pp. 277-284 (Operations Research Proceedings).

BibTeX

@inbook{5f6f94ca6f9c4b1ca875527553f4aed2,
title = "Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses",
abstract = "Efficient order picking requires a coordinated way of combining and utilizing three kinds of heterogeneous resources: articles, devices, and operators. Usually, the assortment of articles is subject to permanent adaptations. Hence, the interdependent decisions of assigning articles to devices and allocating manpower among devices need to be adjusted and the problem has to be solved frequently for similar instances. We propose a combination of exact and heuristic solution approaches. For an immediate reaction to each assortment change, a heuristic approach applying metamodel-based optimization is used. The data required for estimating the metamodel is provided by an exact approach which is utilized from time to time to reset the system to an optimal state. Based on sampled data of a pharmaceutical wholesaler, we compare exact and heuristic approach with regard to quality and time of solving in-sample and out-of-sample instances.",
author = "Ralf G{\"o}ssinger and Grigory Pishchulov and Imre Dobos",
year = "2019",
month = aug,
day = "30",
doi = "10.1007/978-3-030-18500-8_35",
language = "English",
isbn = "978-3-030-18499-5",
series = "Operations Research Proceedings",
publisher = "Springer Nature",
pages = "277--284",
editor = "Bernard Fortz and Martine Labb{\'e}",
booktitle = "Operations Research Proceedings 2018",
address = "Germany",

}

RIS

TY - CHAP

T1 - Metamodel-Based Optimization of the Article-to-Device Assignment and Manpower Allocation Problem in Order Picking Warehouses

AU - Gössinger, Ralf

AU - Pishchulov, Grigory

AU - Dobos, Imre

PY - 2019/8/30

Y1 - 2019/8/30

N2 - Efficient order picking requires a coordinated way of combining and utilizing three kinds of heterogeneous resources: articles, devices, and operators. Usually, the assortment of articles is subject to permanent adaptations. Hence, the interdependent decisions of assigning articles to devices and allocating manpower among devices need to be adjusted and the problem has to be solved frequently for similar instances. We propose a combination of exact and heuristic solution approaches. For an immediate reaction to each assortment change, a heuristic approach applying metamodel-based optimization is used. The data required for estimating the metamodel is provided by an exact approach which is utilized from time to time to reset the system to an optimal state. Based on sampled data of a pharmaceutical wholesaler, we compare exact and heuristic approach with regard to quality and time of solving in-sample and out-of-sample instances.

AB - Efficient order picking requires a coordinated way of combining and utilizing three kinds of heterogeneous resources: articles, devices, and operators. Usually, the assortment of articles is subject to permanent adaptations. Hence, the interdependent decisions of assigning articles to devices and allocating manpower among devices need to be adjusted and the problem has to be solved frequently for similar instances. We propose a combination of exact and heuristic solution approaches. For an immediate reaction to each assortment change, a heuristic approach applying metamodel-based optimization is used. The data required for estimating the metamodel is provided by an exact approach which is utilized from time to time to reset the system to an optimal state. Based on sampled data of a pharmaceutical wholesaler, we compare exact and heuristic approach with regard to quality and time of solving in-sample and out-of-sample instances.

U2 - 10.1007/978-3-030-18500-8_35

DO - 10.1007/978-3-030-18500-8_35

M3 - Chapter

SN - 978-3-030-18499-5

T3 - Operations Research Proceedings

SP - 277

EP - 284

BT - Operations Research Proceedings 2018

A2 - Fortz, Bernard

A2 - Labbé, Martine

PB - Springer Nature

CY - Cham

ER -

ID: 50314241