Details
| Original language | English |
|---|---|
| Pages (from-to) | 153-158 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 62 |
| Publication status | Published - 18 May 2017 |
| Event | 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME 2016 - Ischia, Italy Duration: 20 Jul 2016 → 22 Jul 2016 |
Abstract
The condition of complex products in the transport industry, such as train couplings or aircraft turbines, is not exactly determinable before their disassembly and diagnosis in a maintenance plant. Thus, planning and control of their regeneration is impeded since work plans and spare part demand result at short notice. This paper presents a novel method, which combines a planning approach, the in-house pooling of components, and a controlling approach, the sequencing of components, by means of event-driven simulation. Thereby, mean cycle time, mean tardiness and on-time delivery can be optimized under the consideration of the volatile conditions.
Keywords
- Production planning and control, Sequencing, Simulation
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 62, 18.05.2017, p. 153-158.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Combining in-house pooling and sequencing for product regeneration by means of event-driven simulation
AU - Denkena, Berend
AU - Dittrich, Marc André
AU - Georgiadis, Alexander
PY - 2017/5/18
Y1 - 2017/5/18
N2 - The condition of complex products in the transport industry, such as train couplings or aircraft turbines, is not exactly determinable before their disassembly and diagnosis in a maintenance plant. Thus, planning and control of their regeneration is impeded since work plans and spare part demand result at short notice. This paper presents a novel method, which combines a planning approach, the in-house pooling of components, and a controlling approach, the sequencing of components, by means of event-driven simulation. Thereby, mean cycle time, mean tardiness and on-time delivery can be optimized under the consideration of the volatile conditions.
AB - The condition of complex products in the transport industry, such as train couplings or aircraft turbines, is not exactly determinable before their disassembly and diagnosis in a maintenance plant. Thus, planning and control of their regeneration is impeded since work plans and spare part demand result at short notice. This paper presents a novel method, which combines a planning approach, the in-house pooling of components, and a controlling approach, the sequencing of components, by means of event-driven simulation. Thereby, mean cycle time, mean tardiness and on-time delivery can be optimized under the consideration of the volatile conditions.
KW - Production planning and control
KW - Sequencing
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85020755843&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2016.06.005
DO - 10.1016/j.procir.2016.06.005
M3 - Conference article
AN - SCOPUS:85020755843
VL - 62
SP - 153
EP - 158
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME 2016
Y2 - 20 July 2016 through 22 July 2016
ER -