فهرست مقالات Production Risk

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  1 - شناسایی، ارزیابی و رتبه‌بندی ریسک‌های تولید در صنعت دارو با استفاده از روش تجزیه و تحلیل عوامل شکست (مطالعه موردی: شرکت سبحان دارو)
  مجتبی مرادی محمدعلی میرزازاده
  مقدمه: یکی از علل اهمیت بررسی ریسک‌های تولید، نقش مهم ریسک و چالش‌های آن در سازمان‌های امروزه است. با توجه به طبقه‌بندی صنعت تولید دارو جزء صنعت های با اهمیت بالا، ریسک‌های سرمایه‌گذاری در این صنعت را با استفاده از روش تجزیه و تحلیل عوامل شکست (FMEA) به عنوان یکی از تکن چکیده کامل

  مقدمه: یکی از علل اهمیت بررسی ریسک‌های تولید، نقش مهم ریسک و چالش‌های آن در سازمان‌های امروزه است. با توجه به طبقه‌بندی صنعت تولید دارو جزء صنعت های با اهمیت بالا، ریسک‌های سرمایه‌گذاری در این صنعت را با استفاده از روش تجزیه و تحلیل عوامل شکست (FMEA) به عنوان یکی از تکنیک‌های مدیریت ریسک و به‌منظور افزایش بهره‌وری این صنعت، شناسایی، ارزیابی، اولویت‌بندی و تحلیل شده است. روشپژوهش: این مطالعه توصیفی، FMEA را به عنوان روش کمی برای شناسایی ریسک‌های تولید پیشنهاد می‌دهد و با محاسبه اعداد اولویت‌بندی ریسک (RPN ها)، خطرات بالقوه و اثرات آنها در صنعت داروسازی را مشخص می‌کند. یافته‌ها: در این تحقیق بعد از شناسایی ریسک‌های مالی تولید دارو که به کمک مرور ادبیات و مصاحبه با خبرگان به دست آمد، پرسشنامه‌ای طراحی گردید که در مجموع از 66 ریسک شناسایی شده 19 ریسک با نظر کارشناسان و خبرگان به عنوان ریسک‌های با اهمیت شناسایی و رتبه‌بندی گردید. نتیجه‌گیری:اصول بهینه تولید (GMP)، تغییرات نرخ ارز، عدم بازاریابی و پیش‌بینی مناسب روند بازار، موجودی مواد اولیه و موجودی ملزومات به عنوان مهم‌ترین ریسک‌های تولید دارو شناسایی شدند. پرونده مقاله
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  2 - The Effects of Climate Change on Sugar Beet Yield with an Emphasis on Crop Production Risk in Iran
  علی سردار شهرکی ندا علی احمدی نسیم صفری
  Climate change and the resulting changes in climatic parameters influence all agricultural activities. The present study aimed to explore the effect of climatic variables on sugar beet crop yield in two climates – cold climate and hot and arid climate – usin چکیده کامل

  Climate change and the resulting changes in climatic parameters influence all agricultural activities. The present study aimed to explore the effect of climatic variables on sugar beet crop yield in two climates – cold climate and hot and arid climate – using the Just and Pope stochastic function. First, the most effective climatic variables on sugar beet yield were identified by the Feiveson algorithm and the Just and Pope function. Data stationarity test was applied to assess the stationarity of the included variables. The interrelationship of the dependent and independent variables was analyzed by the co-integration test. Finally, the coefficients of the Just and Pope function for sugar beet crop in two studied climates for the time period of 1998-2017 were estimated. The results of sugar beet yield function in cold regions show that sugar beet yield in cold regions was significantly influenced by acreage and maximum temperature at p<0.10 level and by minimum temperature deviation, production lag, and trend at p<0.01 level, but the variable of precipitation was significant in none of the levels. The estimation of the Just and Pope function for sugar beet crop in hot and arid regions indicates that the effects of maximum temperature, production lag, and trend are significant on sugar beet yield at p<0.05 level, but the effects of acreage, precipitation deviation, and minimum temperature deviation were insignificant. Given temperature variations and unexpected precipitation, it is recommended to encourage sugar beet farmers to use crop insurance in order to mitigate local farmers’ risk and alleviate the damages of climate change. پرونده مقاله
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  3 - Which Will Overcome? The Productivity or Risk Premium
  Javad Shahraki Shahram Saeedian
  The study investigates consumers’ preference for cowpea reflected in the Nigerian markets through price discounts and premiums that consumers pay for different cowpea characteristics. The price data used for this study were obtained through a market survey. A comm چکیده کامل

  The study investigates consumers’ preference for cowpea reflected in the Nigerian markets through price discounts and premiums that consumers pay for different cowpea characteristics. The price data used for this study were obtained through a market survey. A common data collection protocol was employed. Every month, between October 2009 to December 2010, five cowpea samples per seller were bought from randomly selected sellers in six markets and the prices noted. In the laboratory, the non-price data, such as, 100 grain weight, number of bruchid holes per 100 grains, eye colour and texture of the testa were obtained. A hedonic pricing regression model was used to analyze data collected. Hedonic pricing methods provide a statistical estimate of premiums and discounts. Results indicate that eye colour is the most important determinant of cowpea market prices. Cowpeas with brown colour commands a clear premium in all but one market. The consumers discount prices for insect damage in most markets. In general, this study signals the need for cowpea breeders to identify cost effective ways of breeding for brown coloured cowpea (Ife-brown specie) which was noted to attract price premium.Risk-averse farmers are prudent to use different inputs because every input has a distinct effect on output fluctuations and production risk as well. This paper examines the effect of input using growth on producer welfare of date farmers in Sistan and Baluchestan province which is the second greatest producer and exporter of date in Iran. It is well known that input using growth impresses both productivity and risk premium. These two factors contribute to producer welfare so that increasing the productivity will boost the welfare and an addition to risk premium shall detract the welfare of risk-averse farmers. Results showed that technical change has reduced both productivity and production risk in 2011/2012 and the welfare increased as 912727.21. But, in 2010/2011, productivity and risk premium had a positive growth and finally the producer's welfare experienced a reduction as 1041478.41. پرونده مقاله
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  4 - Evaluation Factors Affecting of Risk Production in Sistan Grape Growers by using Stochastic Frontier Approach
  Nazar Dahmardeh Ali Sardar Shahraki
  10.5455/ijamd.16008
  Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic fronti چکیده کامل

  Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic frontier. Data gathered by questionnaires at three counties of Zabol, Hirmand and Zahak at 265 grape farmers in crop year of 2011-2012. The results showed that the cultivated area respectively for the county of Zabol and Zahak risk–reducing and risk-increases, labor Rental at Zabol county risks - reducing and animal manure for the county of Hirmand and Zahak was risk - Reducing respectively. Therefore, the positive and significant labor input on risk factor is production as a result of seasonality, It is suggested that the focus on seasonal labor and employment Rental through agencies or through the representatives of the Ministry of Labor and Social Affair. پرونده مقاله