Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Sequencing mixed-model assembly lines by considering feeding lines
by
Fattahi, Parviz
, Roshani, Abdolreza
, Beitollahi Tavakoli, Neda
, Fathollah, Mehdi
, Salehi, Mohsen
in
Algorithms
/ Ant colony optimization
/ Assembly lines
/ Automobile industry
/ CAE) and Design
/ Combinatorial analysis
/ Computer simulation
/ Computer-Aided Engineering (CAD
/ Cycle time
/ Engineering
/ Feeding
/ Industrial and Production Engineering
/ Mathematical models
/ Mechanical Engineering
/ Media Management
/ Original Article
/ Sequences
/ Sequential scheduling
/ Simulated annealing
2012
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Sequencing mixed-model assembly lines by considering feeding lines
by
Fattahi, Parviz
, Roshani, Abdolreza
, Beitollahi Tavakoli, Neda
, Fathollah, Mehdi
, Salehi, Mohsen
in
Algorithms
/ Ant colony optimization
/ Assembly lines
/ Automobile industry
/ CAE) and Design
/ Combinatorial analysis
/ Computer simulation
/ Computer-Aided Engineering (CAD
/ Cycle time
/ Engineering
/ Feeding
/ Industrial and Production Engineering
/ Mathematical models
/ Mechanical Engineering
/ Media Management
/ Original Article
/ Sequences
/ Sequential scheduling
/ Simulated annealing
2012
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Sequencing mixed-model assembly lines by considering feeding lines
by
Fattahi, Parviz
, Roshani, Abdolreza
, Beitollahi Tavakoli, Neda
, Fathollah, Mehdi
, Salehi, Mohsen
in
Algorithms
/ Ant colony optimization
/ Assembly lines
/ Automobile industry
/ CAE) and Design
/ Combinatorial analysis
/ Computer simulation
/ Computer-Aided Engineering (CAD
/ Cycle time
/ Engineering
/ Feeding
/ Industrial and Production Engineering
/ Mathematical models
/ Mechanical Engineering
/ Media Management
/ Original Article
/ Sequences
/ Sequential scheduling
/ Simulated annealing
2012
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Sequencing mixed-model assembly lines by considering feeding lines
Journal Article
Sequencing mixed-model assembly lines by considering feeding lines
2012
Request Book From Autostore
and Choose the Collection Method
Overview
A mixed-model assembly line is a type of production line where different models of a product are assembled on. Mixed-model assembly lines can respond to unanticipated changes in product demands quickly without keeping so many inventories. Designing mixed-model assembly line involves solving the traditional problems of the assembly line design (consists of balancing problem, determining cycle time, and the number and sequence of stations) in addition of determining the sequence of products in assembly line. The main goal of this paper is presenting a method in order to determine the sequence of products in mixed-model assembly line by considering Just-in-Time systems. Moreover, supplying some required components from feeding lines is considered. A mathematical model is presented which is capable of specifying the sequence of products in the mixed-model assembly line by considering main criteria and keeping feeding lines balanced. Mathematical model can be used for solving small-size problems. Because the combinatorial nature of sequencing problems typically provides an intractable search space for problems of “real world” size, the search heuristics of simulated annealing and ant colony algorithms are presented and used to find solutions for several problem sets. Experimentations show that the simulated annealing approach outperforms the ant colony approach in objective function performance.
Publisher
Springer-Verlag,Springer Nature B.V
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.