Capacity smoothing and sequencing for mixed-model lines

Decker, Maria

doi:10.1016/0925-5273(93)90079-z

Cited by 12 publications

(2 citation statements)

References 12 publications

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“…Here, random line balances are generated for which a signicant positive correlation between the actual work overload and criterion (12) is identied. However, in contrast to these previous studies the paper on hand tests all smoothing criteria of Agnetis (1995) 1, 25, 27 LEX DP Ajenblit und Wainwright (1998) 15 WF GA Bhattacharjee and Sahu (1987) 5 LEX HS Decker (1993) 15 LEX HI Domschke et al (1996) 1, 12, 14, 15, 27 LEX, WF B&B Kim et al (2006) 20 LEX GA Matanachai and Yano (2001) 11 , 19, 26 WF HI McMullen andFrazier (1997, 1998), Tarasewich (2003, 2006) 5 WF GA Merengo et al (1999) 27 LEX HS, HI Moodie and Young (1965) 27 LEX HI Pastor and Corominas (2000) 26 LEX TS Pinnoi and Wilhelm (1997) 7 LEX B&C Ponnambalam et al 200027 WF GA Rachamadugu and Talbot (1991) 26, 27 LEX HI Rekiek et al (2001Rekiek et al ( , 2002 5 LEX GA Sabuncuoglu et al 2000WF GA Sarker and Shanthikumar (1983) 28 LEX HI Sparling and Miltenburg (1998) 2, 20 LEX HI Suresh and Sahu (1994), Suresh et al (1996) 27 LEX GA, SA Thomopoulos (1970) 12 LEX HI Ugurdag et al (1997) 27 LEX HI Simaria (2002, 2006) 16 LEX SA, ACO each of which is to be solved by a mixed-model sequencing approach. The resulting work overload is our nal measure to compare the workload smoothing criteria with regard to their ability in reducing short-term work overloads.…”

Section: Workload Smoothingmentioning

confidence: 91%

Balancing mixed-model assembly lines: a computational evaluation of objectives to smoothen workload

Emde

Boysen

Schöll

2009

International Journal of Production Research

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Mixed-model assembly lines are widely used in a range of production settings, such as the final assembly of the automotive and electronics industries, where they are applied to mass-produce standardised commodities. One of the greatest challenges when installing and reconfiguring these lines is the vast product variety modern mixed-model assembly lines have to cope with. Traditionally, product variety is bypassed during mid-term assembly line balancing by applying a joint precedence graph, which represents an (artificial) average model and serves as the input data for a single model assembly line balancing procedure. However, this procedure might lead to considerable variations in the station times, so that serious sequencing problems emerge and work overload threatens. To avoid these difficulties, different extensions of assembly line balancing for workload smoothing, i.e. horizontal balancing, have been introduced in the literature. This paper presents a multitude of known and yet unknown objectives for workload smoothing and systematically tests these measures in a comprehensive computational study. The results suggest that workload smoothing is an essential task in mixed-model assembly lines and that some (of the newly introduced) objectives are superior to others.Mixed-model assembly lines, assembly line balancing, sequencing, workload smoothing

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Section: Workload Smoothingmentioning

confidence: 91%

Balancing mixed-model assembly lines: a computational evaluation of objectives to smoothen workload

Emde

Boysen

Schöll

2009

International Journal of Production Research

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“…Decker [18] propone la función objetivo (3), la cual minimiza la máxima diferencia absoluta entre el tiempo de estación ij p y el tiempo promedio por estación j d de cada modelo.…”

Section: Balance Horizontalunclassified

Balance horizontal de líneas de ensamble para modelos mixtos

Cruz

Cabrera

Dorado

2015

rev.ing.univ.Medellin

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ResumenLas líneas de ensamble tradicionalmente han sido utilizadas para producir grandes cantidades de un único modelo. Para aprovechar las ventajas de estas en ambientes de manufactura flexibles, se pueden implementar líneas de modelos mixtos las cuales permiten ensamblar diferentes productos de una familia en una misma línea; sin embargo, su balanceo requiere técnicas diferentes de las tradicionales. En esta investigación se hizo una revisión bibliográfica para analizar los factores que afectan las líneas de modelos mixtos y con base en esto se desarrolló un modelo de optimización matemática que estabiliza las cargas de trabajo, facilitando la decisión sobre las secuencias de producción que se programan en la línea. El modelo se corrió en varios escenarios y se obtuvieron resultados significativamente mejores que los obtenidos con un método tradicional de balance.Palabras clave: balance de línea, modelos mixtos, balance horizontal.

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A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing

Ostermeier,

Deuse

2023

J Sched

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Capacity smoothing and sequencing for mixed-model lines

Cited by 12 publications

References 12 publications

Balancing mixed-model assembly lines: a computational evaluation of objectives to smoothen workload

Balancing mixed-model assembly lines: a computational evaluation of objectives to smoothen workload

Balance horizontal de líneas de ensamble para modelos mixtos

A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing

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