Balancing and scheduling of flexible mixed model assembly lines with parallel stations

Öztürk, Cemalettin; Tunalı, Semra; Hnich, Brahim; Örnek, Mustafa Arslan

doi:10.1007/s00170-012-4675-1

Cited by 25 publications

(8 citation statements)

References 45 publications

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“…This study is a continuation and extension of authors' earlier works [7] and [10]. The MIP model proposed in the previous work of the author's to solve the non-cyclic version of this problem has a great advantage on proving optimality due to its ability to use LP relaxation in search tree [19].…”

Section: Introductionmentioning

confidence: 92%

“…problem is to consider parallel stations which increase adaptability of an assembly system to changes in market requirements and unexpected situations like machine failures [9]. Öztürk et al [10] develop a mixed integer programming (MIP) model and MIP based decomposition algorithm to solve SBSFMMAL problem with parallel stations and they show that the cycle time can be decreased by more than 70 percent in some instances.…”

Section: Introductionmentioning

confidence: 99%

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Cyclic scheduling of flexible mixed model assembly lines with parallel stations

Öztürk

Tunalı

Hnich

et al. 2015

Journal of Manufacturing Systems

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Cyclic scheduling of flexible mixed model assembly lines with parallel stations

Öztürk

Tunalı

Hnich

et al. 2015

Journal of Manufacturing Systems

Self Cite

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“…Ozturk et al [9] considered the flexible mixed-model assembly line balancing problems with parallel workstations with the objective of designing the assembly lines to minimize the number of workstations under demand fluctuations. They developed a mathematical model for this problem and a decomposition scheme for this problem.…”

Section: Mathematical Modelsmentioning

confidence: 99%

Design and Comparison of Genetic Algorithms for Mixed-Model Assembly Line Balancing Problem with Original Task Times of Models

Sivasankaran¹,

Shahabudeen²

2016

AJIBM

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Assembly line balancing is a key for organizational productivity in terms of reduced number of workstations for a given production volume per shift. Mixed-model assembly line balancing is a reality in many organizations. The mixed-model assembly line balancing problem comes under combinatorial category. So, in this paper, an attempt has been made to develop three genetic algorithms for the mixed-model assembly line balancing problem such that the combined balancing efficiency is maximized, where the combined balancing efficiency is the average of the balancing efficiencies of the individual models. At the end, these three algorithms and another algorithm in literature are compared in terms of balancing efficiency using a randomly generated set of problems through a complete factorial experiment, in which "Algorithm", "Problem Size" and "Cycle Time" are used as factors with two replications under each of the experimental combinations to draw inferences and to identify the best of the four algorithms. Then, through another set of randomly generated small and medium size data, the results of the best algorithm are compared with the optimal results obtained using a mathematical model. It is found that best algorithm gives the optimal solution for all the problems in the second set of data, except for one problem which cannot be solved using the model. This observation supports the fact that the best algorithm identified in this paper gives superior results. KeywordsAssembly Line Balancing, Cycle Time, Genetic Algorithm, Crossover Operation, Mixed-Model, Mathematical Model P. Sivasankaran, P. M. Shahabudeen 675

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“…WSTĘP Zagadnienia balansowania linii produkcyjnych są znane od początku ich istnienia, a więc od 1913 roku, kiedy to w zakładach T. Forda w Highland Park powstała linia montażowa z ustalonym cyklem produkcyjnym. Zadaniem balansowania linii produkcyjnych jest możliwie jak najbardziej równomierne rozłożenie zadań wynikających z realizacji procesu technologicznego miedzy stacje robocze, tak aby czasy przestojów poszczególnych stanowisk były jak najmniejsze [1,4,5].…”

Section: Balansowanie Linii Produkcyjnej Z Wykorzystaniem Wskaźników unclassified

Balancing the production line with the use of technical-economic indicators

2015

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StreszczenieWskaźniki techniczno-ekonomiczne są kluczowymi elementami opisującymi prowadzoną działalność produkcyjną. Ich podstawowym zastosowaniem jest wspomaganie procesu planowania oraz ocena wyników produkcji. Artykuł przedstawia wpływ modyfikacji zawartych w normatywach parametrów obróbki skrawaniem na wzrost efektywności balansowania linii produkcyjnej. Modyfikacja parametrów zalecanych w normatywach pociąga za sobą zmianę okresu trwałości ostrza i tym samym bilansu ekonomicznego zlecenia produkcyjnego. W pracy zaproponowano wykorzystanie wskaźników technicznoekonomicznych do oceny granicy opłacalności tych modyfikacji. Słowa kluczowe: obróbka skrawaniem, wskaźniki ekonomiczno-techniczne, balansowanie linii produkcyjnej, normatywy parametrów obróbki skrawaniem BALANCING THE PRODUCTION LINE WITH THE USE OF TECHNICAL-ECONOMIC INDICATORS AbstractTechnical-economic indicators are the key elements that describe carried out a productive activity. Their main use is to support the process of planning and evaluation of the production results. The article presents the effect of the modifications contained in the standards of machining parameters to increase efficiency of the production line balancing. Modification of the parameters recommended in standards entails changing the shelf edge, and thus the economic balance of the production order. The paper proposes use of technical-economic indicators in order to evaluate the cost-effectiveness of these modifications.

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Balancing and scheduling of flexible mixed model assembly lines with parallel stations

Cited by 25 publications

References 45 publications

Cyclic scheduling of flexible mixed model assembly lines with parallel stations

Cyclic scheduling of flexible mixed model assembly lines with parallel stations

Design and Comparison of Genetic Algorithms for Mixed-Model Assembly Line Balancing Problem with Original Task Times of Models

Balancing the production line with the use of technical-economic indicators

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