The effects of hybrid order processing strategies on economic and logistic objectives

Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

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The effects of hybrid order processing strategies on economic and logistic objectives. / Maier, Janine Tatjana; Heuer, Tammo; Nyhuis, Peter et al.
in: Procedia CIRP, Jahrgang 96, 01.01.2021, S. 266-271.

Publikation: Beiträge in ZeitschriftenKonferenzaufsätze in FachzeitschriftenForschungbegutachtet

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Maier JT, Heuer T, Nyhuis P, Schmidt M. The effects of hybrid order processing strategies on economic and logistic objectives. Procedia CIRP. 2021 Jan 1;96:266-271. doi: 10.1016/j.procir.2021.01.085

Bibtex

@article{a7ffbb87b80348138915d3844e71dc16,
title = "The effects of hybrid order processing strategies on economic and logistic objectives",
abstract = "In a dynamic environment, companies face the challenge of increasing customer requirements. Today{\textquoteright}s customers expect fast delivery of affordable and to their needs tailored products. As a result, companies need to act more flexible and thus move away from pure make-to-stock and make-to-order productions described in literature. Shifting the customer order decoupling point to in-between order processing strategies such as assemble-to-order can increase the probability of meeting the customised demand on time. In addition, companies in practice use a variety of different methods for processes like order generation, order release, sequencing and lot sizing to adjust their chosen order processing strategy to fit their individual needs. An example known from industry regarding such hybrid order processing strategy is a make-to-order production with fixed lot sizes. The share of a batch, which is not needed to satisfy the customer{\textquoteright}s order, is stored. These leftover products allow very short delivery times for small order quantities. In this paper, possibilities to generate such hybrid order processing strategies are identified and structured. Causal diagrams and logistic models are used to analyse the effects of hybrid order processing strategies on economic and logistic objectives.",
keywords = "Engineering, Hybrid Order Processing Strategies, Logistic Models, Flexible Production Systems",
author = "Maier, {Janine Tatjana} and Tammo Heuer and Peter Nyhuis and Matthias Schmidt",
note = "The research project was carried out in the framework of the industrial collective research programme (IGF no. 20906 N). It was supported by the Federal Ministry for Economic Affairs and Energy (BMWi) through the AiF (German Federation of Industrial Research Associations eV) and the BVL (Bundesvereinigung Logistik eV) based on a decision taken by the German Bundestag. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.. All rights reserved.; 8th CIRP Global Web Conference 2020 : Flexible Mass Customisation ; Conference date: 14-10-2020 Through 16-10-2020",
year = "2021",
month = jan,
day = "1",
doi = "10.1016/j.procir.2021.01.085",
language = "English",
volume = "96",
pages = "266--271",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier B.V.",
url = "https://iiw.kuleuven.be/events/cirpe2020",

}

RIS

TY - JOUR

T1 - The effects of hybrid order processing strategies on economic and logistic objectives

AU - Maier, Janine Tatjana

AU - Heuer, Tammo

AU - Nyhuis, Peter

AU - Schmidt, Matthias

N1 - Conference code: 8

PY - 2021/1/1

Y1 - 2021/1/1

N2 - In a dynamic environment, companies face the challenge of increasing customer requirements. Today’s customers expect fast delivery of affordable and to their needs tailored products. As a result, companies need to act more flexible and thus move away from pure make-to-stock and make-to-order productions described in literature. Shifting the customer order decoupling point to in-between order processing strategies such as assemble-to-order can increase the probability of meeting the customised demand on time. In addition, companies in practice use a variety of different methods for processes like order generation, order release, sequencing and lot sizing to adjust their chosen order processing strategy to fit their individual needs. An example known from industry regarding such hybrid order processing strategy is a make-to-order production with fixed lot sizes. The share of a batch, which is not needed to satisfy the customer’s order, is stored. These leftover products allow very short delivery times for small order quantities. In this paper, possibilities to generate such hybrid order processing strategies are identified and structured. Causal diagrams and logistic models are used to analyse the effects of hybrid order processing strategies on economic and logistic objectives.

AB - In a dynamic environment, companies face the challenge of increasing customer requirements. Today’s customers expect fast delivery of affordable and to their needs tailored products. As a result, companies need to act more flexible and thus move away from pure make-to-stock and make-to-order productions described in literature. Shifting the customer order decoupling point to in-between order processing strategies such as assemble-to-order can increase the probability of meeting the customised demand on time. In addition, companies in practice use a variety of different methods for processes like order generation, order release, sequencing and lot sizing to adjust their chosen order processing strategy to fit their individual needs. An example known from industry regarding such hybrid order processing strategy is a make-to-order production with fixed lot sizes. The share of a batch, which is not needed to satisfy the customer’s order, is stored. These leftover products allow very short delivery times for small order quantities. In this paper, possibilities to generate such hybrid order processing strategies are identified and structured. Causal diagrams and logistic models are used to analyse the effects of hybrid order processing strategies on economic and logistic objectives.

KW - Engineering

KW - Hybrid Order Processing Strategies

KW - Logistic Models

KW - Flexible Production Systems

UR - http://www.scopus.com/inward/record.url?scp=85101172581&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2021.01.085

DO - 10.1016/j.procir.2021.01.085

M3 - Conference article in journal

VL - 96

SP - 266

EP - 271

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 8th CIRP Global Web Conference 2020

Y2 - 14 October 2020 through 16 October 2020

ER -

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