Allocation of tasks to stations in small-batch assembly with learning: basic concepts

A classification of assembly line balancing problems

“…[mix j div j m] M , G R Gö kcen and Erel (1998) Erel et al (2001) [j u j m] S A Erel et al (2005) [t sto j u j Co] HS Gadidov and Wilhelm (2000) [type, pa j res 01 j Co] M, HS, B&C Gamberini et al (2004) [t sto j u j Co, score] HS Gö kcen and Agpak (2006) [j u j m, c, score] M Gö kcen and Erel (1997) [mix, link, inc j j score] M Gö kcen et al (2005) [j u j m] M , G R Haq et al (2005) [mix j j m] HS, GA Hautsch et al (1972) [link j pwork 2 , res max , feeder j E] H S Henig (1986) [t sto j prob j Co] DP Johnson (1983) [type j div, ptask j m] B, B&B Johnson (1991) [type j j m] B, B&B Kao (1976), Kao (1979) [t sto j prob j m] D P Karabati and Sayin (2003) [mix j unpac sync j score] M, HS Karini and Herer (1995) [mult, t dy j unpac sync j score] M, HS Kim and Park (1995) [cum j equip j m] M, HS, B&C Kim et al (2000a) [fix, type j pwork 2 j m] G A Kim et al (2000b), Kim et al (2000c), Kim et al (2006) [mix j u j SSL line ] G A Kimms (2000) [mult, spec j unpac, equip j Co] M, B, CG Klenke (1977) [t sto , link, inc j prob j Pr] M, ENU Kottas and Lau (1973), Kottas and Lau (1976), Kottas and Lau (1981) [t sto j j Co] HS Lapierre and Ruiz (2004) [link, inc, type j div, pwork 2 , feeder j m] HS Lapierre et al (2006) [type j pwork 2 j m] T S Lee et al (2001) [type j pwork 2 j score] HS Leu et al (1994) [fix j j score] HS, GA Levitin et al (2006) [pa j equip j c] G A Lyu (1997) [t sto j j Co] HS Macaskill (1972) [mix j j E] H S Malakooti (1991) [j j m, c, Co] M, ENU …”

The effect of buffers and work sharing on makespan improvement of small batches in assembly lines under learning effects

“…Therefore, learning should be considered in the design process, or in particular, in the task assignment to stations/workers (Thongsanit et al 2010). The balancing problem of assembly lines of small batches, when learning effects are considered, has been studied by Karni and Herer (1995), Thongsanit et al (2010), and Cohen et al (2006). Karni and Herer (1995) claim that in addition to the learning effects, assembly lines of small batches are highly affected by "end effect": due to the tasks sequence through the stations, at the beginning some stations are idle, and so happen at the end.…”

“…The balancing problem of assembly lines of small batches, when learning effects are considered, has been studied by Karni and Herer (1995), Thongsanit et al (2010), and Cohen et al (2006). Karni and Herer (1995) claim that in addition to the learning effects, assembly lines of small batches are highly affected by "end effect": due to the tasks sequence through the stations, at the beginning some stations are idle, and so happen at the end. Learning significantly affects assembly lines also in the case of high labor turnover; new and inexperienced workers replace experienced workers, and as a result, throughput rate is reduced until the new workers acquire the necessary skills and experience (Armbruster et al 2007, Montano et al 2007, Villabolos et al 2011).…”

“…The processing times in the stations, which are affected by the learning rate, can be referred to as discrete (Karni and Herrer, 1995) or as continuous (Cohen et al 2006). Cohen et al (2006) assume that tasks can be divisible whereas Karni and Herer (1995) cannot be split. Most previous studies on the assembly line balancing problem, which consider learning, assume no buffer space between stations (Cohen et al 2006).…”

A memetic algorithm approach for batch-model assembly line balancing problem of sub-block in shipbuilding

“…Each model is produced in batches on the same assembly line, and there may be one or more models in one production batch. 6,7 Although the mixed-model assembly lines can also produce multiple products, the different products are being produced separately rather than in batches. This article solves batch-model line balancing problem with real application.…”