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Tembo, Gelson; Epplin, Francis M.; Huhnke, Raymond L.. |
While theoretically more efficient than starch-based ethanol production systems, conversion of lignocellulosic biomass to ethanol is not without major challenges. A multi-region, multi-period, mixed integer mathematical programming model encompassing alternative feedstocks, feedstock production, delivery, and processing is developed. The model is used to identify key cost components and potential bottlenecks, and to reveal opportunities for reducing costs and prioritizing research. The research objective was to determine for specific regions in Oklahoma the most economical source of lignocellulosic biomass, timing of harvest and storage, inventory management, biorefinery size, and biorefinery location, as well as the breakeven price of ethanol, for a... |
Tipo: Journal Article |
Palavras-chave: Biomass; Biorefinery location; Ethanol; Integrative investment appraisal; Logistics; Mixed integer programming; Resource /Energy Economics and Policy. |
Ano: 2003 |
URL: http://purl.umn.edu/31070 |
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Sintori, Alexandra; Rozakis, Stelios; Tsiboukas, Kostas. |
Management strategies and performance differ among farmers, as a result of different, multiple and often conflicting goals. Many approaches to building farm level models that incorporate multiple goals have been developed over the years, most of which share a common weakness. The determination of the goals to be used as attributes in the utility function is the result of a highly interactive process with the individual farmer, often difficult to implement. In this study, we use a non-interactive methodology, described in recent literature, to elicit the utility function of selected sheep farmers in western Greece, since farmers often appear reluctant to answer straightforward questions about their goals and preferences. Τhe results indicate that sheep... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Sheep farming; Mixed integer programming; Multiple goals; Noninteractive elicitation; Livestock Production/Industries; C61; D21; Q12. |
Ano: 2009 |
URL: http://purl.umn.edu/51075 |
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Watkins, K. Bradley; Hignight, Jeffrey A.; Anders, Merle M.. |
This study evaluated the impacts of farm size and stochastic return variability on no-till (NT) rice profitability at the whole-farm level. Mixed integer programming was used to determine optimal machinery complements, fuel consumption, and machinery labor requirements for conventional till (CT) and NT rice-soybean farms of 1200, 2400, and 3600 acres in size. Crop yields, market prices, and prices for key production inputs were simulated to construct stochastic whole-farm net returns for each farm size under CT and NT management, and both first and second degree stochastic dominance analysis were used to rank cumulative distribution functions of whole-farm returns according to specified risk preferences. The results indicate NT farms exhibit second degree... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Mixed integer programming; No-till; Profitability; Rice; Risk; Simulation; Stochastic dominance; Whole-farm; Farm Management; Production Economics; Risk and Uncertainty. |
Ano: 2011 |
URL: http://purl.umn.edu/98733 |
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