Abstract
Supply Chain Simulation (SCS) is applied to acquire information to support outsourcing decisions but obtaining enough detail in key parameters can often be a barrier to making well informed decisions.
One aspect of SCS that has been relatively unexplored is the impact of inaccurate data around delays within the SC. The impact of the magnitude and variability of process cycle time on typical performance indicators in a SC context is studied.
System cycle time, WIP levels and throughput are more sensitive to the magnitude of deterministic deviations in process cycle time than variable deviations. Manufacturing costs are not very sensitive to these deviations.
Future opportunities include investigating the impact of process failure or product defects, including logistics and transportation between SC members and using alternative costing methodologies.
One aspect of SCS that has been relatively unexplored is the impact of inaccurate data around delays within the SC. The impact of the magnitude and variability of process cycle time on typical performance indicators in a SC context is studied.
System cycle time, WIP levels and throughput are more sensitive to the magnitude of deterministic deviations in process cycle time than variable deviations. Manufacturing costs are not very sensitive to these deviations.
Future opportunities include investigating the impact of process failure or product defects, including logistics and transportation between SC members and using alternative costing methodologies.
| Original language | English |
|---|---|
| Title of host publication | International Manufacturing Conference (IMC33) |
| Publication status | Published - 01 Sept 2016 |
| Event | International Manufacturing Conference - University of Limerick, Limerick, Ireland Duration: 31 Aug 2016 → 01 Sept 2016 Conference number: 33rd http://ulsites.ul.ie/imc33/ |
Conference
| Conference | International Manufacturing Conference |
|---|---|
| Abbreviated title | IMC33 |
| Country/Territory | Ireland |
| City | Limerick |
| Period | 31/08/2016 → 01/09/2016 |
| Internet address |
Keywords
- Supply Chain Simulation, Incomplete Datasets, Variable Cycle Times
Fingerprint
Dive into the research topics of 'Identifying the Impact of Incomplete Datasets on Process Cycle Time Prediction in an Aerospace Assembly Line'. Together they form a unique fingerprint.Student theses
-
Simulating the impact of external factors on aerospace supply chains
Allen, D. (Author), Murphy, A. (Supervisor), Butterfield, J. (Supervisor) & Price, M. (Supervisor), Jul 2021Student thesis: Doctoral Thesis › Doctor of Philosophy
File