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	Provedor de dados AgEcon (2) Autor Hirschauer, Norbert (2) Musshoff, Oliver (2) Palavra-chave Static distributions (2) Stochastic processes (2) Uncertainty (2) C1 (1) C61 (1) Crop Production/Industries (1) Farm Management (1) M11 (1) Optimisation (1) Optimization (1) Planning of the production program (1) Production program planning (1) Q12 (1) Risk and Uncertainty (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2007 (1) 2006 (1) País United States (2) Idioma Alemão (1) Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Wie viel bringt eine verbesserte Produktionsprogrammplanung auf der Grundlage einer systematischen Auswertung empirischer Zeitreihen? – Die Bedeutung von Prognosemodellen bei der Optimierung unter Unsicherheit AgEcon Musshoff, Oliver; Hirschauer, Norbert. In this paper we examine whether there is room for improvement in farm program decisions through the integration of formal mathematical optimisation into the planning process. Probing the potential for improvement, we investigate the cases of four Brandenburg cash crop farms over the last six years. We find that their total gross margins could have been increased significantly through a more sophisticated program planning. However, we also find that the superiority of formalised planning approaches depends on the quality of the data. The superior formal planning approach includes, in contrast to farmers’ ad hoc planning, a systematic time series analysis of gross margins and a stochastic optimisation model. For each of the six years, the formal planning... Tipo: Journal Article Palavras-chave: Planning of the production program; Optimisation; Uncertainty; Static distributions; Stochastic processes; Farm Management; Risk and Uncertainty. Ano: 2006 URL: http://purl.umn.edu/97196 Improved Program Planning Approaches Generates Large Benefits in High Risk Crop Farming AgEcon Musshoff, Oliver; Hirschauer, Norbert. This paper examines whether there is room for the improvement of farm program decisions through the incorporation of mathematical optimization in the practical planning process. Probing the potential for improvement, we investigate the cases of four German cash crop farms over the last six years. The formal planning approach includes a systematic time series analysis of farmspecific single gross margins and a stochastic optimization model. In order to avoid solutions that simply exceed the farmer’'s risk tolerance, the apparently accepted variance of the observed program’'s total gross margin which represents an observable reflection of the individual farmer'’s risk attitude is used as an upper bound in the optimization. For each of the 24 planning... Tipo: Conference Paper or Presentation Palavras-chave: Production program planning; Optimization; Uncertainty; Static distributions; Stochastic processes; Crop Production/Industries; C1; C61; M11; Q12. Ano: 2007 URL: http://purl.umn.edu/10442 Registros recuperados: 2 Primeira ... 1 ... Última

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