Schedule compliance operating curves and their application in designing the supply chain of a metal producer

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Schedule compliance operating curves and their application in designing the supply chain of a metal producer. / Schmidt, Matthias; Bertsch, Sebastian; Nyhuis, Peter.
In: Production Planning Control, Vol. 25, No. 2, 25.01.2014, p. 123-133.

Research output: Journal contributionsJournal articlesResearchpeer-review

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@article{444e31227f9d4179915fa2bb6b7bc817,
title = "Schedule compliance operating curves and their application in designing the supply chain of a metal producer",
abstract = "Schedule compliance is one of the main logistic objectives of production systems. In order to achieve high schedule compliance, different control variables of a job shop production system can be adopted. This paper focuses on the relationship between such control variables in make-to-order processes. It provides a quantitative model to describe the effect of safety time as well as the impact of lateness distribution of the production system on schedule compliance, stock level of finished goods and delivery time. Furthermore, the applicability of this model is demonstrated by describing the results of an industry project. In this project, the model was applied to design the supply chain of a metal manufacturer to increase the capability to produce on time.",
keywords = "Engineering, Decoupling, Logistic, Logistic operating curves, Schedule compliance",
author = "Matthias Schmidt and Sebastian Bertsch and Peter Nyhuis",
year = "2014",
month = jan,
day = "25",
doi = "10.1080/09537287.2013.782947",
language = "English",
volume = "25",
pages = "123--133",
journal = "Production Planning Control",
issn = "1366-5871",
publisher = "Taylor & Francis",
number = "2",

}

RIS

TY - JOUR

T1 - Schedule compliance operating curves and their application in designing the supply chain of a metal producer

AU - Schmidt, Matthias

AU - Bertsch, Sebastian

AU - Nyhuis, Peter

PY - 2014/1/25

Y1 - 2014/1/25

N2 - Schedule compliance is one of the main logistic objectives of production systems. In order to achieve high schedule compliance, different control variables of a job shop production system can be adopted. This paper focuses on the relationship between such control variables in make-to-order processes. It provides a quantitative model to describe the effect of safety time as well as the impact of lateness distribution of the production system on schedule compliance, stock level of finished goods and delivery time. Furthermore, the applicability of this model is demonstrated by describing the results of an industry project. In this project, the model was applied to design the supply chain of a metal manufacturer to increase the capability to produce on time.

AB - Schedule compliance is one of the main logistic objectives of production systems. In order to achieve high schedule compliance, different control variables of a job shop production system can be adopted. This paper focuses on the relationship between such control variables in make-to-order processes. It provides a quantitative model to describe the effect of safety time as well as the impact of lateness distribution of the production system on schedule compliance, stock level of finished goods and delivery time. Furthermore, the applicability of this model is demonstrated by describing the results of an industry project. In this project, the model was applied to design the supply chain of a metal manufacturer to increase the capability to produce on time.

KW - Engineering

KW - Decoupling

KW - Logistic

KW - Logistic operating curves

KW - Schedule compliance

UR - http://www.scopus.com/inward/record.url?scp=84889846900&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/20126b7a-c078-3c78-aa18-463c839d3adf/

U2 - 10.1080/09537287.2013.782947

DO - 10.1080/09537287.2013.782947

M3 - Journal articles

VL - 25

SP - 123

EP - 133

JO - Production Planning Control

JF - Production Planning Control

SN - 1366-5871

IS - 2

ER -