A dynamic part assignment procedure in machine cell formation

Seifoddini, Hamid; Djassemi, Manoocher

doi:10.1016/0360-8352(93)90323-p

Cited by 5 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another drawback that emerges during the part routing process is the underutilization of machines in cells. Seifoddini and Djassemi (1993) argued that underutilization in CMS models can cause long queues in some machines, whereas other parallel machines remain idle. To solve this shortcoming, the authors used the dynamic part assignment method (DPA).…”

Section: Introductionmentioning

confidence: 99%

Evaluating impact of market changes on increasing cell-load variation in dynamic cellular manufacturing systems using a hybrid Tabu search and simulated annealing algorithms

Delgoshaei¹,

Parvin²,

Ariffin³

2016

10.5267/j.dsl

View full text Add to dashboard Cite

In this paper, a new method is proposed for scheduling dynamic cellular manufacturing systems (D-CMS) in the presence of uncertain product demands. The aim of this method is to control the process of trading off between in-house manufacturing and outsourcing while product demands are uncertain and can be varied from period to period. To solve the proposed problem, a hybrid Tabu Search and Simulated Annealing are developed to overcome hardness of the proposed model and then results are compared with a Branch and Bound and Simulated Annealing algorithms. A Taguchi method (L_27 orthogonal optimization) is used to estimate parameters of the proposed method in order to solve experiments derived from literature. An in-depth analysis is conducted on the results in consideration of various factors. For evaluating the system imbalance in dynamic market demands, a new measuring index is developed. Our findings indicate that the uncertain condition of market demands affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. The results showed that the proposed hybrid method can provide solutions with better quality.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating impact of market changes on increasing cell-load variation in dynamic cellular manufacturing systems using a hybrid Tabu search and simulated annealing algorithms

Delgoshaei¹,

Parvin²,

Ariffin³

2016

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…Moreover, in such conditions, the possibility of machine broke increases due to pressure on over allocated machines. The queues of in-process parts behind over allocated machines increase while other parallel machines are remained idle (Seifoddini & Djassemi, 1993). …”

Section: Fig 1 Intracellular and Intercellular Materials Transferringmentioning

confidence: 99%

A new method for decreasing cell-load variation in dynamic cellular manufacturing systems

Delgoshaei¹,

Ariffin²,

Baharudin³

et al. 2016

10.5267/j.ijiec

View full text Add to dashboard Cite

Cell load variation is considered a significant shortcoming in scheduling of cellular manufacturing systems. In this article, a new method is proposed for scheduling dynamic cellular manufacturing systems in the presence of bottleneck and parallel machines. The aim of this method is to control cell load variation during the process of determining the best trading off values between in-house manufacturing and outsourcing. A genetic algorithm (GA) is developed because of the high potential of trapping in the local optima, and results are compared with the results of LINGO ® 12.0 software. The Taguchi method (an L_9 orthogonal optimization) is used to estimate parameters of GA in order to solve experiments derived from literature. An in-depth analysis is conducted on the results in consideration of various factors, and control charts are used on machine-load variation. Our findings indicate that the dynamic condition of product demands affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. An increase in product uncertainty level causes the loading level of each cell to vary, which in turn results in the development of "complex dummy sub-cells". The effect of the complex sub-cells is measured using another mathematical index. The results showed that the proposed GA can provide solutions with limited cell-load variations.

show abstract

Review of evolution of cellular manufacturing system’s approaches: Material transferring models

Delgoshaei

Ariffin

Leman

et al. 2016

Int. J. Precis. Eng. Manuf.

View full text Add to dashboard Cite

A dynamic part assignment procedure in machine cell formation

Cited by 5 publications

References 8 publications

Evaluating impact of market changes on increasing cell-load variation in dynamic cellular manufacturing systems using a hybrid Tabu search and simulated annealing algorithms

Evaluating impact of market changes on increasing cell-load variation in dynamic cellular manufacturing systems using a hybrid Tabu search and simulated annealing algorithms

A new method for decreasing cell-load variation in dynamic cellular manufacturing systems

Review of evolution of cellular manufacturing system’s approaches: Material transferring models

Contact Info

Product

Resources

About