Stochastic approximations for optimal buffer capacity of many-station production lines

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Cochran J., KOKANGÜL A., Xanıyev T.

International Journal of Mathematics in Operational Research, vol.1, no.1-2, pp.211-227, 2009 (Scopus)

• Nəşrin Növü: Article / Article
• Cild: 1 Say: 1-2
• Nəşr tarixi: 2009
• Doi nömrəsi: 10.1504/ijmor.2009.022882
• jurnalın adı: International Journal of Mathematics in Operational Research
• Jurnalın baxıldığı indekslər: Scopus
• Səhifə sayı: pp.211-227
• Açar sözlər: Buffer size, Many-station production line, Maximum and minimum of a stochastic process, Random walk, Risk acceptance
• Açıq Arxiv Kolleksiyası: Məqalə
• Adres: Bəli

Qısa məlumat

Probabilistic processing times, times between breakdowns and repair times make the amount of stock in buffers between stations in production lines behave as a stochastic process. Too much or too little buffer stock reduces system economy and efficiency, respectively. We obtain optimum buffer capacities and initial stock levels for production lines employing a mathematical random walk approach based on the maximum and minimum values of a stochastic process in a time window. Two approximations are developed, each useful under different risk-acceptance assumptions. Simulation results populate the equations. A motivating case study from a discrete part manufacturing line, including an example of using regression on the simulated results, is presented. Copyright © 2009 Inderscience Enterprises Ltd.