Computational Modelling Of The Parallel Logistic System
AbstractThe paper highlights the problem of mathematical modelling of the highly complex logistic system consisting of parallel production lines. Each production route is arranged in a series of stands equipped with manufacturing machines. It is assumed that all production lines are identical. Each production stand performs a manufacturing operation with the use of the specified tool. Tools get worn out and require either regeneration or immediate replacement. The tool subjected to regeneration can be regenerated a certain number of times only. When this number is reached, the tool must be replaced with a new one. The logistic system is controlled by a determined heuristic algorithm. The production process is optimized by means of the stated criterion respecting defined bounds. Adequate equations of state illustrate the flow of charge material. The time scaling method in order to search for the satisfactory solution with the use of the simulation method is proposed.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Spiru Haret University, Faculty of Financial Management and Accounting Craiova in its journal Journal of Applied Economic Sciences.
Volume (Year): 7 (2012)
Issue (Month): 1(19)/ Spring 2012 ()
Contact details of provider:
Web page: http://www2.spiruharet.ro/facultati/facultate.php?id=14
More information through EDIRC
modelling; parallel logistic system; simulation; heuristic algorithms; time-scaling;
Find related papers by JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
- M29 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Other
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Laura Stefanescu).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.