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

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    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.
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    Advanced planning for multi-product across a supply chain
    (2009-04-23)
    Masuchun, Ruedee
    ;
    Petchmaneelumka, Wandee
    This paper presents a linear integer programming model to plan the production for multiple products. The production is planned using information shared across a supply chain. The advantage of information sharing has been proved from research that it can make the whole supply chain globally visualized and yet decreasing in variability on the supply chain. The objective function of the proposed model is to minimize the total costs involved including the production costs, the distribution costs, the setup costs of manufacturing, and the fixed costs of distributing. From previous research, one more restriction which is limitation of distribution centers has been added to make the model more realistic. Numerical results verify that this model can be used to generate feasible and optimal plans for multiple products across the supply chain. © 2009 IEEE.