Manual assembly line operator scheduling using hierarchical preference aggregation

Authors:
Gonca Altuger;Constantin Chassapis
Affiliations:
Stevens Institute of Technology, Hoboken, NJ;Stevens Institute of Technology, Hoboken, NJ
Venue:
Proceedings of the Winter Simulation Conference
Year:
2010

Citing 8
Cited 0

Simulation as a tool for continuous process improvement

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
The Effects of Worker Learning, Forgetting, and Heterogeneity on Assembly Line Productivity

Management Science
Manufacturing case studies: generic case studies for manufacturing simulation applications

Proceedings of the 35th conference on Winter simulation: driving innovation
Dynamic scheduling I: simulation-based scheduling for dynamic discrete manufacturing

Proceedings of the 35th conference on Winter simulation: driving innovation
Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture

WSC '04 Proceedings of the 36th conference on Winter simulation
Operator-paced assembly line simulation

WSC '05 Proceedings of the 37th conference on Winter simulation
Applying discrete event simulation and an automated bottleneck analysis as an aid to detect running production constraints

WSC '05 Proceedings of the 37th conference on Winter simulation
Multi criteria preventive maintenance scheduling through arena based simulation modeling

Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

Successful companies are the ones that can compete in the global market by embracing technological advancements, employing the lean principles, maximizing resource utilizations without sacrificing customer satisfaction. Lean principles are widely applied in semi or fully automated production processes. This research highlights the application of the lean principles to manual assembly processes, where the operator characteristics are considered as deterministic of operator schedule. In this study, a manual circuit breaker assembly line is examined, where operator skill levels, attention spans, classified as reliability measures considered to select the most suitable resource allocation and break schedules. The effect of operator attributes on the process is modeled and simulated using Arena, followed by a hierarchical preference aggregation technique as the decision making tool. This paper provides an operator schedule selection approach which can be both employed in manual and semi -- automated production processes.