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    Novel foodstuff conveyor belts compound for energy saving: The effect of microwave pre-heating and mixed fillerson mechanical properties
    (2017-01-01)
    Limhengha, S.
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    Limnararat, S.
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    Jangchud, I.
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    Sriseubsai, W.
    This research presents an effect of microwave power being utilized in preheating of a foodstuff conveyor belts compound (FCBc), with or without mixed fillers, and sulfur at different volumes of 1.0, 1.5 and 2.0 phr respectively. Prior to hydraulic molding press at 150 oC, an FCBc is preheated for one minute through an industrial microwave system at a frequency of 2.45 GHz along with microwave power of 340, 850 and 1,700 watts whereas the cure timeis a time 50%. The result shows that the FCBc with mixed fillers and 1.0 phr sulfur with microwave power at 340 watts demonstrates an effective crosslink between the rubber and the fillers which subsequently produces the FCBc that contains better mechanical properties, not only at the lower cost on raw material but also the curing time reduces to 40.20 % per production round.
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    Item type:Publication,
    Waste reduction of returnable packaging: A case study of reverse logistics in an auto parts company
    (2016-01-18)
    Katephap, N.
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    Limnararat, S.
    The objective of this research is to study and reduce waste of reverse logistics in an auto parts company. The result of this study shows that the main problem of packaging waste for packing auto parts used to transport among 3 countries is high. The studying start from collecting data that need for waste analyzing such as export costs of auto parts, packaging cost and export statistic of 2014. The new improvement result by change material of packaging from disposable to be returnable and propose new logistics model including Single trip and Round trip shows that the export packaging waste can be reduced by 65%.
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    Item type:Publication,
    A new hybrid intelligent method for assembly line balancing
    (2007-12-01)
    Suwannarongsri, S.
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    Limnararat, S.
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    Puangdownreong, D.
    A new hybrid intelligent method for solving assembly line balancing problems is proposed in this paper. The tabu search (TS) method and the genetic algorithm (GA) are combined to identify and provide solutions for assembly line balancing problems. The approach is named the TSGA-based method. With the proposed approach, the TS method can well address the number of tasks assigned for each workstation, whereas the GA can also assign the sequence of tasks for each workstation according to precedence constraints. In this paper, four single-model assembly line balancing problems from a survey of literature are tested against the proposed approach. From the simulation results compared with the conventional method, it was found that the proposed TSGA-based method is capable of producing solutions superior to the conventional method. It can be concluded that the TSGA-based method is an alternative potential algorithm to solve assembly line balancing problems. © 2007 IEEE.