Details
| Original language | English |
|---|---|
| Pages (from-to) | 59-72 |
| Number of pages | 14 |
| Journal | Production Planning and Control |
| Volume | 25 |
| Issue number | 1 |
| Publication status | Published - 8 Feb 2012 |
Abstract
Schedule reliability is a very important target in operations management: if a company cannot produce and deliver on time, it has to make up for it by incurring a penalty on delays and using high cost express delivery. If that option is not available, customer dissatisfaction is inevitable. When the customer's production system operates with low inventories and just-in-time deliveries, low schedule reliability of the suppliers will eventually ruin that customer's schedule reliability as well. In spite of this high importance, industry analyses show that the schedule reliability of many factories is quite low: a part of the orders is completed late and endangers the delivery reliability of the company; other orders are completed before the scheduled date and increase finished goods inventories. This article shows how lateness can be modelled and it describes the application of the models using an industry example. Appropriate measures to enhance schedule reliability result from the analysis.
Keywords
- Backlog, Lateness, Manufacturing control, Schedule reliability, Sequence deviation
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. 1, 08.02.2012, p. 59-72.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Modelling lateness and schedule reliability
T2 - How companies can produce on time
AU - Lödding, Hermann
AU - Nyhuis, Peter
AU - Schmidt, Matthias
AU - Kuyumcu, Arif
N1 - Funding information: We thank Deutsche Forschungsgemeinschaft for funding the project (Lo 858/-4-1).
PY - 2012/2/8
Y1 - 2012/2/8
N2 - Schedule reliability is a very important target in operations management: if a company cannot produce and deliver on time, it has to make up for it by incurring a penalty on delays and using high cost express delivery. If that option is not available, customer dissatisfaction is inevitable. When the customer's production system operates with low inventories and just-in-time deliveries, low schedule reliability of the suppliers will eventually ruin that customer's schedule reliability as well. In spite of this high importance, industry analyses show that the schedule reliability of many factories is quite low: a part of the orders is completed late and endangers the delivery reliability of the company; other orders are completed before the scheduled date and increase finished goods inventories. This article shows how lateness can be modelled and it describes the application of the models using an industry example. Appropriate measures to enhance schedule reliability result from the analysis.
AB - Schedule reliability is a very important target in operations management: if a company cannot produce and deliver on time, it has to make up for it by incurring a penalty on delays and using high cost express delivery. If that option is not available, customer dissatisfaction is inevitable. When the customer's production system operates with low inventories and just-in-time deliveries, low schedule reliability of the suppliers will eventually ruin that customer's schedule reliability as well. In spite of this high importance, industry analyses show that the schedule reliability of many factories is quite low: a part of the orders is completed late and endangers the delivery reliability of the company; other orders are completed before the scheduled date and increase finished goods inventories. This article shows how lateness can be modelled and it describes the application of the models using an industry example. Appropriate measures to enhance schedule reliability result from the analysis.
KW - Backlog
KW - Lateness
KW - Manufacturing control
KW - Schedule reliability
KW - Sequence deviation
UR - http://www.scopus.com/inward/record.url?scp=84889838087&partnerID=8YFLogxK
U2 - 10.1080/09537287.2012.655803
DO - 10.1080/09537287.2012.655803
M3 - Article
AN - SCOPUS:84889838087
VL - 25
SP - 59
EP - 72
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 1
ER -