Kirjailija
Dirk Beyer
Kirjat ja teokset yhdessä paikassa: 13 kirjaa, julkaisuja vuosilta 2009-2026, suosituimpien joukossa Internatspädagogik. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.
13 kirjaa
Kirjojen julkaisuhaarukka 2009-2026.
Teaching Compendium: Multiliteracies
Dirk Beyer; Nilgül Karabulut-Klöppelt
Klett Sprachen GmbH
2025
nidottu
Wert- und risikoorientiertes Controlling
Dirk Beyer; Sandra Kirchner-Khairy
Vahlen Franz GmbH
2024
sidottu
Comment & Co. - Summarizing Information and Forming Opinions
Dirk Beyer
Schuenemann C.E.
2023
nidottu
Theoretische und methodische Ansätze zum Innovationsmarketing
Dirk Beyer
Grin Publishing
2013
pokkari
Markovian Demand Inventory Models
Dirk Beyer; Feng Cheng; Suresh P. Sethi; Michael Taksar
Springer-Verlag New York Inc.
2012
nidottu
Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled. In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.
Markovian Demand Inventory Models
Dirk Beyer; Feng Cheng; Suresh P. Sethi; Michael Taksar
Springer-Verlag New York Inc.
2009
sidottu
Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled. In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.