A NOVEL STOCHASTIC APPROACH TO BUFFER STOCK PROBLEM
In this paper, the stochastic fluctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y(t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X (t) [equivalent to] Y (t)--a and the parameter a...
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Veröffentlicht in: | TWMS journal of applied and engineering mathematics 2024-04, Vol.14 (2), p.644 |
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description | In this paper, the stochastic fluctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y(t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X (t) [equivalent to] Y (t)--a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a [right arrow] [infinity]. Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y(t) are obtained. Keywords: Random walk with two barriers, buffer stock problem, stationary distribution, weak convergence, asymptotic expansion. AMS Subject Classification: 60G50, 60K15. |
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Therefore, random walk processes X(t) and Y(t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X (t) [equivalent to] Y (t)--a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a [right arrow] [infinity]. Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y(t) are obtained. Keywords: Random walk with two barriers, buffer stock problem, stationary distribution, weak convergence, asymptotic expansion. AMS Subject Classification: 60G50, 60K15.</description><identifier>ISSN: 2146-1147</identifier><language>eng</language><publisher>Turkic World Mathematical Society</publisher><subject>Stocks ; Warehouse stores ; Warehouses</subject><ispartof>TWMS journal of applied and engineering mathematics, 2024-04, Vol.14 (2), p.644</ispartof><rights>COPYRIGHT 2024 Turkic World Mathematical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Hanalioglu, Z</creatorcontrib><creatorcontrib>Poladova, A</creatorcontrib><creatorcontrib>Gever, B</creatorcontrib><creatorcontrib>Khaniyev, T</creatorcontrib><title>A NOVEL STOCHASTIC APPROACH TO BUFFER STOCK PROBLEM</title><title>TWMS journal of applied and engineering mathematics</title><description>In this paper, the stochastic fluctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y(t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X (t) [equivalent to] Y (t)--a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a [right arrow] [infinity]. Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y(t) are obtained. Keywords: Random walk with two barriers, buffer stock problem, stationary distribution, weak convergence, asymptotic expansion. 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Therefore, random walk processes X(t) and Y(t) with two specific barriers have been defined to describe the stochastic fluctuation of the product level. Here X (t) [equivalent to] Y (t)--a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a [right arrow] [infinity]. Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y(t) are obtained. Keywords: Random walk with two barriers, buffer stock problem, stationary distribution, weak convergence, asymptotic expansion. AMS Subject Classification: 60G50, 60K15.</abstract><pub>Turkic World Mathematical Society</pub></addata></record> |
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title | A NOVEL STOCHASTIC APPROACH TO BUFFER STOCK PROBLEM |
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