Details
Original language | English |
---|---|
Pages (from-to) | 123-133 |
Number of pages | 11 |
Journal | Production Planning and Control |
Volume | 25 |
Issue number | 2 |
Publication status | Published - 7 May 2013 |
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
- Decoupling, Logistic, Logistic operating curves, Schedule compliance
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Planning and Control, Vol. 25, No. 2, 07.05.2013, p. 123-133.
Research output: Contribution to journal › Article › Research › peer review
}
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 - 2013/5/7
Y1 - 2013/5/7
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 - Decoupling
KW - Logistic
KW - Logistic operating curves
KW - Schedule compliance
UR - http://www.scopus.com/inward/record.url?scp=84889846900&partnerID=8YFLogxK
U2 - 10.1080/09537287.2013.782947
DO - 10.1080/09537287.2013.782947
M3 - Article
AN - SCOPUS:84889846900
VL - 25
SP - 123
EP - 133
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 2
ER -