Name
Title | ||
|---|---|---|
A multi-dimensional measure for determining the complexity of manual assembly operations |
Abstract | ||
|---|---|---|
A key to solving the discrepancies of deterministic and static assembly sequences at manual work places is seen in situation-oriented
and cognitive methodologies in assembly. These provide means for efficient and ergonomically feasible worker guidance. An
accurate and detailed technique of adjusting the instructional content is seen as a prerequisite. In this context the authors
present factors for a multi-dimensional measurement of the degree of detail and complexity of manual assembly tasks. It extends
the concept and application of common systems of predetermined times. It includes dimensions of actual human performance and
attention allocation, as well as learning effects based on the product and its reference levels. It is assumed that identifying
global attributes that contribute to assembly difficulty will provide means for predicting assembly complexity more effectively. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11740-009-0171-3 | Production Engineering |
Keywords | Field | DocType |
assembly human man-machine system,human performance | Learning effect,Multi dimensional,Engineering drawing,Computer science,Cognition | Journal |
Volume | Issue | ISSN |
3 | 4 | 1863-7353 |
Citations | PageRank | References |
9 | 1.21 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael F. Zaeh | 1 | 109 | 20.34 |
| Mathey Wiesbeck | 2 | 21 | 3.05 |
| Sonja Stork | 3 | 32 | 4.51 |
| Anna Schubö | 4 | 59 | 10.56 |