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Author: search.filters.author.Sirikasemsuk, KittiwatSubject: search.filters.subject.Supply chain

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    Simulating the Impact of Defective Rates on the Bullwhip Effect in a Supply Chain: A Reciprocating Compressor Manufacturing Case Study with Exponential Smoothing Forecasting
    (2024-01-01)
    Rattanapuchong, Pradthana
    ;
    Sooksaksun, Natanaree
    ;
    Sirikasemsuk, Kittiwat
    This study was dedicated to simulating the impact of defective rates on the bullwhip effect within the context of a supply chain, with a specific focus on a case study involving reciprocating compressor manufacturing. The supply chain configuration encompassed a distributor, a factory, customer, and a remanufacturer. Customer demand was forecasted utilizing the exponential smoothing method, while an order-up-to inventory policy was implemented. The results unveiled a direct correlation between an increase in defective rates and a heightened bullwhip effect. Moreover, the study demonstrated that an elevation in the average yield rate corresponded to a mitigation of the bullwhip effect.
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    Measure and analysis of the bullwhip effect in supply chain when demand correlation exists between two market groups under the first-order moving-average demand processes
    (2018-01-01)
    Sirikasemsuk, Kittiwat
    ;
    Sirikasemsuk, Sarawut
    With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. The phenomenon in which the variation of upstream members' orders is amplified than the variation of downstream members' demands in the supply chain is called the bullwhip effect (BWEF). Most of existing research studies did not realize the demand dependency of market demands. Thus, this research focused on the study of the influence of the demand correlation coefficient between two market groups on the BWEF. The incoming demand processes are assumed the separate first-order moving-average, [MA(1)] demand patterns. The scope of the supply chain structure used in this research is composed of one manufacturer and two distribution centers. The general result reveals that the coefficient of correla-tion is one of several factors affecting the BWEF.
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    Measure of bullwhip effect in supply chains with first-order bivariate vector autoregression time-series demand model
    (2017-02-01)
    Sirikasemsuk, Kittiwat
    ;
    Luong, Huynh Trung
    With supply chains becoming increasingly global, the issue of bullwhip effect, a phenomenon attributable to demand fluctuation in the upstream section of the supply chains, has received greater attention from many researchers. However, most existing research studies on quantifying the bullwhip effect were conducted under the first-order autoregressive [AR(1)] incoming demand process or its variants as the fundamental demand process, thereby failing to account for the retailer demand dependency. This research work thus examined the bullwhip effect for the first-order bivariate vector autoregression [VAR(1)] demand process in a two-stage supply chain consisting of one supplier and two retailers. The impacts of the correlation parameters of the demand process, the correlation coefficient between the two error terms, and the variances of the error terms on the bullwhip effect were investigated. As such, the measure of the bullwhip effect was established using an analytical approach in which the minimum mean square error (MMSE) forecasting method and the base stock policy were applied to all members of the supply chain. Numerical experiments were then conducted to illustrate the behavior of the bullwhip effect with respect to various parameters of the demand processes to see in which situations the bullwhip effect would be absent. In addition, an evaluation of the inventory variance ratio was analyzed.
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    Impact of order splitting on bullwhip effect in supply chain: Case of identical lead time at distributors-retailer links
    (2014-01-01)
    Sirikasemsuk, Kittiwat
    This research work attempts to establish the bullwhip effect measure under the dual sourcing environment in which the lead time periods of two distributors to fulfill the retailer's orders are identical. Our model was based on the simple three-echelon supply chain with one supplier, two distributors and one retailer for a stationary first-order autoregressive, i.e., AR(1), incoming demand process. It was assumed that the minimum mean-square error forecasting technique and the orderup- to inventory policy were employed in all stages. The impacts of the autoregressive coefficient, the replenishment lead time and the proportion of order quantities placed by the retailer with the two distributors were investigated. A detailed comparison of the bullwhip effect of dual sourcing and that of single sourcing was also provided. © (2014) Trans Tech Publications, Switzerland.