A mixed-model environment presents balancing problems (Mixed-model Assembly Line Balancing Problem or MALBP) that can normally be solved by transforming the mixed-model system into a Single Assembly Line Balancing Problem (SALBP), and simplified by creating a ‘virtual average model’. In this case, a general average model not dependent on the characteristics of the real system can represent a considerable restriction since the reality is characterised by high variability in the operation times and product mix between different product models. A comparative evaluation of eight different methodologies to reduce a MALBP into a SALBP is presented, using several randomly generated problems, to test operation time fluctuations and the product mix. Their evaluation is based on five different performance measures.

The Multi/Mixed Models Assembly Line Balancing Problem: Evaluation of the balancing methodologies in presence of variability of task time and demand

BATTINI, DARIA;FACCIO, MAURIZIO;PERSONA, ALESSANDRO;SGARBOSSA, FABIO
2008

Abstract

A mixed-model environment presents balancing problems (Mixed-model Assembly Line Balancing Problem or MALBP) that can normally be solved by transforming the mixed-model system into a Single Assembly Line Balancing Problem (SALBP), and simplified by creating a ‘virtual average model’. In this case, a general average model not dependent on the characteristics of the real system can represent a considerable restriction since the reality is characterised by high variability in the operation times and product mix between different product models. A comparative evaluation of eight different methodologies to reduce a MALBP into a SALBP is presented, using several randomly generated problems, to test operation time fluctuations and the product mix. Their evaluation is based on five different performance measures.
2008
Proceedings of GLOBAL BUSINESS AND INNOVATION DEVELOPMENT CONFERENCE
GLOBAL BUSINESS AND INNOVATION DEVELOPMENT CONFERENCE (BIRC, Emerald, Elsevier, Science Direct Conference
9781605850054
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2434179
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