"Besta, Petr" . "65" . . "Companies often get into difficult-to-solve situations in the area of planning, management and procurement of material resources. On one hand, there are hard-to-estimate impulses entering the production organization in the form of market incentives, on the other hand, every production entity tries to plan all production processes as realistically as possible. It is therefore a conflict between two systems that are completely different. The consequences of this situation are problems arising when setting up the optimal inventory levels. Generally speaking, the inventory as a whole will always mean certain amount of complications for the company associated with their storage, maintenance, monitoring of quality, but especially with capital tied in inventories. However, stocks also allow a company to maintain continuity of production operations, thus reacting flexibly to market demand. That is why it will always be important to find an optimal balance in determining the level of production inventories. There is a wide range of relevant logistics methods you can use for inventory management, which will always depend on the quality of the input information. Generally, these methods can be divided into statistic and simulation. In case of utilization of statistic methods, they include an analysis of material consumption for the previous period. The buffer levels are determined according to the outcomes of a variability analysis. The simulation methods can use stochastic tools for the simulation of future demand. The advantage of this method is the ability to easily check the consequences of various scenarios of development with regards to the set values of the buffer stocks."@en . . . . "Princip stanoven\u00ED v\u00FD\u0161e pojistn\u00E9 z\u00E1soby v pr\u016Fmyslov\u00E9m podniku"@cs . "The principle of the determining value of the buffer stock in an industrial company"@en . "Vilamov\u00E1, \u0160\u00E1rka" . . . "0018-8069" . "Hula, Luk\u00E1\u0161" . "CZ - \u010Cesk\u00E1 republika" . "N" . . "V oblasti pl\u00E1nov\u00E1n\u00ED, \u0159\u00EDzen\u00ED a n\u00E1kupu materi\u00E1lov\u00FDch zdroj\u016F se \u010Dasto dost\u00E1vaj\u00ED v\u00FDrobn\u00ED podniky do obt\u00ED\u017En\u011B \u0159e\u0161iteln\u00FDch situac\u00ED. Na jedn\u00E9 stran\u011B p\u0159ich\u00E1zej\u00ED do v\u00FDrobn\u00ED organizace t\u011B\u017Eko odhadnuteln\u00E9 impulsy v podob\u011B tr\u017En\u00EDch pob\u00EDdek, na druh\u00E9 stran\u011B se sna\u017E\u00ED ka\u017Ed\u00FD v\u00FDrobn\u00ED subjekt, co mo\u017En\u00E1 nejrealisti\u010Dt\u011Bji napl\u00E1novat v\u0161echny v\u00FDrobn\u00ED procesy. Do st\u0159etu se tedy dost\u00E1vaj\u00ED dva syst\u00E9my, kter\u00E9 jsou diametr\u00E1ln\u011B odli\u0161n\u00E9. \u010Casto pot\u00E9 vznikaj\u00ED probl\u00E9my s nastavov\u00E1n\u00EDm optim\u00E1ln\u00EDch hladin z\u00E1sob. Obecn\u011B lze \u0159\u00EDci, \u017Ee z\u00E1soby jako celek budou v\u017Edy pro podnik znamenat ur\u010Dit\u00E9 mno\u017Estv\u00ED komplikac\u00ED spojen\u00FDch s jejich skladov\u00E1n\u00EDm, udr\u017Eov\u00E1n\u00EDm, sledov\u00E1n\u00EDm kvality a p\u0159edev\u0161\u00EDm s v\u00E1zanost\u00ED kapit\u00E1lu v z\u00E1sob\u00E1ch. Z\u00E1soby, ale tak\u00E9 podniku umo\u017E\u0148uj\u00ED udr\u017Eovat plynulost v\u00FDrobn\u00EDch operac\u00ED a t\u00EDm i pru\u017En\u011B reagovat na popt\u00E1vky trhu. V\u017Edy bude tedy d\u016Fle\u017Eit\u00E9 nal\u00E9zt optim\u00E1ln\u00ED rovnov\u00E1hu p\u0159i stanovov\u00E1n\u00ED v\u00FD\u0161e v\u00FDrobn\u00EDch z\u00E1sob. Pro \u0159\u00EDzen\u00ED z\u00E1sob lze pou\u017E\u00EDt \u0161irok\u00E9 spektrum logistick\u00FDch metod, kter\u00E9 budou ov\u0161em v\u017Edy z\u00E1visl\u00E9 na kvalit\u011B vstupn\u00EDch informac\u00ED. Obecn\u011B lze tyto metody rozd\u011Blit na statistick\u00E9 a simula\u010Dn\u00ED. V p\u0159\u00EDpad\u011B vyu\u017Eit\u00ED statistick\u00FDch metod doch\u00E1z\u00ED k anal\u00FDze spot\u0159eby materi\u00E1l\u016F za p\u0159edchoz\u00ED obdob\u00ED. Podle v\u00FDsledk\u016F anal\u00FDzy variability jsou nastavov\u00E1ny pojistn\u00E9 hladiny z\u00E1sob. Simula\u010Dn\u00ED metody mohou vyu\u017E\u00EDvat stochastick\u00E9 n\u00E1stroje pro odhad budouc\u00ED popt\u00E1vky. V\u00FDhodou t\u011Bchto metod je mo\u017Enost snadno prov\u011B\u0159ovat d\u016Fsledky r\u016Fzn\u00FDch sc\u00E9n\u00E1\u0159\u016F v\u00FDvoje vzhledem k nastaven\u00FDm hodnot\u00E1m pojistn\u00FDch z\u00E1sob." . "The principle of the determining value of the buffer stock in an industrial company"@en . . "RIV/61989100:27360/12:86085524!RIV13-MSM-27360___" . "Princip stanoven\u00ED v\u00FD\u0161e pojistn\u00E9 z\u00E1soby v pr\u016Fmyslov\u00E9m podniku" . . "3" . . "Management; Costs; Inventory"@en . "V oblasti pl\u00E1nov\u00E1n\u00ED, \u0159\u00EDzen\u00ED a n\u00E1kupu materi\u00E1lov\u00FDch zdroj\u016F se \u010Dasto dost\u00E1vaj\u00ED v\u00FDrobn\u00ED podniky do obt\u00ED\u017En\u011B \u0159e\u0161iteln\u00FDch situac\u00ED. Na jedn\u00E9 stran\u011B p\u0159ich\u00E1zej\u00ED do v\u00FDrobn\u00ED organizace t\u011B\u017Eko odhadnuteln\u00E9 impulsy v podob\u011B tr\u017En\u00EDch pob\u00EDdek, na druh\u00E9 stran\u011B se sna\u017E\u00ED ka\u017Ed\u00FD v\u00FDrobn\u00ED subjekt, co mo\u017En\u00E1 nejrealisti\u010Dt\u011Bji napl\u00E1novat v\u0161echny v\u00FDrobn\u00ED procesy. Do st\u0159etu se tedy dost\u00E1vaj\u00ED dva syst\u00E9my, kter\u00E9 jsou diametr\u00E1ln\u011B odli\u0161n\u00E9. \u010Casto pot\u00E9 vznikaj\u00ED probl\u00E9my s nastavov\u00E1n\u00EDm optim\u00E1ln\u00EDch hladin z\u00E1sob. Obecn\u011B lze \u0159\u00EDci, \u017Ee z\u00E1soby jako celek budou v\u017Edy pro podnik znamenat ur\u010Dit\u00E9 mno\u017Estv\u00ED komplikac\u00ED spojen\u00FDch s jejich skladov\u00E1n\u00EDm, udr\u017Eov\u00E1n\u00EDm, sledov\u00E1n\u00EDm kvality a p\u0159edev\u0161\u00EDm s v\u00E1zanost\u00ED kapit\u00E1lu v z\u00E1sob\u00E1ch. Z\u00E1soby, ale tak\u00E9 podniku umo\u017E\u0148uj\u00ED udr\u017Eovat plynulost v\u00FDrobn\u00EDch operac\u00ED a t\u00EDm i pru\u017En\u011B reagovat na popt\u00E1vky trhu. V\u017Edy bude tedy d\u016Fle\u017Eit\u00E9 nal\u00E9zt optim\u00E1ln\u00ED rovnov\u00E1hu p\u0159i stanovov\u00E1n\u00ED v\u00FD\u0161e v\u00FDrobn\u00EDch z\u00E1sob. Pro \u0159\u00EDzen\u00ED z\u00E1sob lze pou\u017E\u00EDt \u0161irok\u00E9 spektrum logistick\u00FDch metod, kter\u00E9 budou ov\u0161em v\u017Edy z\u00E1visl\u00E9 na kvalit\u011B vstupn\u00EDch informac\u00ED. Obecn\u011B lze tyto metody rozd\u011Blit na statistick\u00E9 a simula\u010Dn\u00ED. V p\u0159\u00EDpad\u011B vyu\u017Eit\u00ED statistick\u00FDch metod doch\u00E1z\u00ED k anal\u00FDze spot\u0159eby materi\u00E1l\u016F za p\u0159edchoz\u00ED obdob\u00ED. Podle v\u00FDsledk\u016F anal\u00FDzy variability jsou nastavov\u00E1ny pojistn\u00E9 hladiny z\u00E1sob. Simula\u010Dn\u00ED metody mohou vyu\u017E\u00EDvat stochastick\u00E9 n\u00E1stroje pro odhad budouc\u00ED popt\u00E1vky. V\u00FDhodou t\u011Bchto metod je mo\u017Enost snadno prov\u011B\u0159ovat d\u016Fsledky r\u016Fzn\u00FDch sc\u00E9n\u00E1\u0159\u016F v\u00FDvoje vzhledem k nastaven\u00FDm hodnot\u00E1m pojistn\u00FDch z\u00E1sob."@cs . "161698" . . "Princip stanoven\u00ED v\u00FD\u0161e pojistn\u00E9 z\u00E1soby v pr\u016Fmyslov\u00E9m podniku"@cs . . . "[AA77E916FFF1]" . "27360" . . "4"^^ . . "Hutnick\u00E9 listy" . . "Janovsk\u00E1, Kamila" . . "4"^^ . "4"^^ . "RIV/61989100:27360/12:86085524" . . "Princip stanoven\u00ED v\u00FD\u0161e pojistn\u00E9 z\u00E1soby v pr\u016Fmyslov\u00E9m podniku" .