KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Author: search.filters.author.Masuchun, WiboonSubject: search.filters.subject.Supply chain

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Impact of time and costs when determining batch size in a supply chain
    (2009-11-01)
    Masuchun, Ruedee
    ;
    Tirasesth, Kitti
    ;
    Thepmanee, Teerawat
    ;
    Masuchun, Wiboon
    ;
    Shi, Yan
    This paper addresses planning a set of jobs on a sequence of machines considering the possibility of producing and delivery in batches either to other stages for further processing or to customers in a supply chain network. Determining batch size at each stage unavoidably is of importance at this point. Using large batch size can put away some costs but time is wasted as trade-off. Small batch size can speed up the process but certain costs are increasing. To represent both time and costs aspects, a nonlinear integer mathematical model with the objective function of minimizing both time and costs simultaneously is studied and applied to determine (production) batch size to match up the flow of production at manufacturer with the demand required at retailers and appro- priate means of shipment (transfer batch size). In view of the fact that time and costs are different in units; this paper furthermore investigates the relationship between them through varying coefficients and parameters. Since this problem is classically NP-hard at each stage of supply chain; the acceptable production and transfer batch sizes are obtained using the advantage of random search approach. The numerical illustrations and results substantiate that the model proposed is useful to simultaneously consider both time and costs when determining batch size at each stage in a supply chain network and it is not necessary to use the same batch size when manufacturing and transferring. Moreover, we found that the conversion factor is statistically robust to the objective function value when the ratio of the production time over the setup time is not high. © 2009 ISSN.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    System for supply network management
    (2006-12-01)
    Masuchun, Wiboon
    ;
    Davis, Steve
    ;
    Rangsaritratsamee, Ruedee
    Strategies and algorithms for operational planning and control are quite important to successful operations of a supply network. Implementation of a strategy requires substantial information system support, but few detailed designs of such systems have appeared in the literature. We designed an information system for a centralized management concept that could handle any type of strategy or algorithm. We developed algorithms for two different strategies deemed important by researchers and practitioners, push and pull, and implemented them in system modules. This information system performed well in simulations of the management of operations of an example six-stage supply network. This system provides an example for operational development as well as a platform for laboratory experiments. © Springer Science + Business Media, LLC 2006.