Academic literature on the topic 'Retail yield'
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Journal articles on the topic "Retail yield"
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Jaborek, Jerad R., Alejandro E. Relling, Francis L. Fluharty, Steven J. Moeller, and Henry N. Zerby. "Opportunities to improve the accuracy of the United States Department of Agriculture beef yield grade equation through precision agriculture1." Translational Animal Science 4, no. 2 (March 17, 2020): 1216–23. http://dx.doi.org/10.1093/tas/txaa033.
Full textAbstract:
Abstract The U.S. Department of Agriculture (USDA) yield grade (YG) equation is used to predict the retail yield of beef carcasses, which facilitates a more accurate payment for cattle when they are sold on a grid pricing system that considers carcass composition instead of body weight alone. The current USDA YG equation was developed over 50 yr ago. Arguably, the population of cattle used to develop the YG equation is different than the current diverse U.S. beef cattle supply today. The objectives of this manuscript are to promote the adoption and use of precision agriculture technologies (i.e., camera grading and electronic animal identification) throughout the U.S. beef supply chain as a means to enhance the ability of the USDA YG equation to more accurately predict the retail yield across the population of cattle that contributes to the current U.S. beef supply. Camera grading has improved the accuracy of determining beef carcass retail yield; however, the use of electronic animal identification would allow for additional information to be passed back and forth between the packer, cattle feeder, and producer. Information, such as sex, genetics, medical treatment history, diets consumed, and growth promotant administration, as well as other information could be used to create additional variables for a new augmented USDA YG equation. Herein, fabrication yields demonstrated a 5.6 USDA YG and 12.8% boneless closely trimmed retail cut difference between actual cutout measurements and calculated values from the USDA YG equation for Jersey-influenced cattle. Evidence of such disparities between calculated and actual values warrants a reevaluation of the USDA YG system and consideration for implementing advancements in precision agriculture to improve the prediction of beef carcass retail yield to more accurately account for the large amount of variation in beef carcass retail yield from the cattle in the United States.
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Harahap, Muhammad Ihsan. "Analisis Faktor-faktor yang Mempengaruhi Sukuk Negara Ritel." JURNAL EKONOMI DAN BISNIS ISLAM 3, no. 1 (November 28, 2018): 18–36. http://dx.doi.org/10.32505/v3i1.1235.
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This research aimed to determine the empirical evidences of factors affecting the price movements of sukuk retail. There are four independent variables: inflation, Bank Indonesia interest rate, Gross Domestic Product (GDP), and yield of sukuk retail with the price of sukuk retail as dependent variable. The data used range from February 2011 to June 2014. The results show that Bank Indonesia Interest rate and yield of sukuk retail significantly affect the price of sukuk retail. Simultaneously, all independent variables affect the price of sukuk retail.
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RAE, W., S. D. M. JONES, and B. W. KENNEDY. "PORK CARCASS GRADING: THE MAGNITUDE OF BREED AND SEX BIASES IN THE PREDICTION OF MEAT YIELD FROM A SINGLE FAT MEASUREMENT." Canadian Journal of Animal Science 65, no. 3 (September 1, 1985): 619–25. http://dx.doi.org/10.4141/cjas85-073.
Full textAbstract:
The magnitude of breed and sex biases in the prediction of meat yield using a single fat measurement was investigated under commercial conditions. Warm carcasses (n = 174) originating from four purebreeds (Yorkshire, 24 boars, 17 gilts; Landrace, 22 boars, 27 gilts; Hampshire, 24 boars, 15 gilts; Duroc, 21 boars, 24 gilts) weighing close to 80 kg were assessed for fat thickness at the maximum loin with a ruler (current Canadian carcass grading measurement) and at the last rib 70 mm from the midline with a Hennessey Grading Probe. All carcasses were evaluated for retail and lean yield 24 h post-slaughter. At the same carcass weight (78.7 kg), significant differences in both retail and lean yield were found (Hampshire > Landrace; boars > gilts), which largely reflected breed and sex differences in fattening. At the same loin fat thickness (25 mm) breed bias in retail yield amounted to 23 g/kg carcass, while sex bias amounted to only 2 g/kg carcass. At the same last rib, fat thickness breed bias in retail yield was reduced to 12 g/kg carcass, while sex bias increased to 4 g/kg carcass. The effect of changing sites of fat measurement from the loin to the last rib in this study resulted in a substantial reduction in breed bias (1.81 kg to 0.98 kg of retail yield), but to increased sex bias (0.15 kg to 0.28 kg of retail yield). Similar trends were found when lean yield was used as the base instead of retail yield. Prediction equations for retail and lean yield were found to be more precise using last rib fat thickness than those using the maximum loin fat measurement. It was concluded that breed bias would be reduced if last rib fat thickness was used to predict the meat content of pork carcasses. Key words: Boar, breed, gilt, pork grading, pork carcass, meat yield
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Fitriyah, Nida Laili, and Muhammad Nafik Hadi Ryandono. "DETERMINAN TERHADAP YIELD SUKUK RITEL NEGARA (STUDI TAHUN 2009 – 2017)." Jurnal Ekonomi Syariah Teori dan Terapan 6, no. 9 (January 17, 2020): 1741. http://dx.doi.org/10.20473/vol6iss20199pp1741-1755.
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Retail Sukuk is one of the sukuk series of SBSN issued the first time in 2009 which is enough to attract public interest. The purpose of this study is to find out and analyze the effect of macro variables (inflation and GDP), profit sharing of mudharabah deposits and JII indices to the dependent variable that is the yield of government retail sukuk in the secondary market. This research is a quantitative research with multiple linear regression method that is processed using Eviews8 software.Keywords: Inflation, GDP, mudharabah deposit share, JII, Yield yield of government retail sukuk, SBSN
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Philip, Ajay, and Rahul R. Marathe. "A New Green Labeling Scheme for Agri-Food Supply Chains: Equilibrium and Information Sharing under Uncertainties." Sustainability 14, no. 23 (November 22, 2022): 15511. http://dx.doi.org/10.3390/su142315511.
Full textAbstract:
Even though organic farming is perceived worldwide as the most eco-friendly agricultural method, its significantly lower yield compared to conventional farming poses a major challenge in ensuring food security for the ever-increasing world population. On the other hand, the adverse environmental impacts of conventional agriculture due to the uncontrolled use of key farm inputs like fertilizer and irrigation water cannot be overlooked. In this context, we develop a new eco-label to promote an efficient agricultural method that provides the right balance between yield and environmental impacts through the optimal use of these farm inputs. The proposed eco-label is applied to a game-theoretic model of a farmer-retailer supply chain under demand and yield uncertainties. We consider the demand as a function of the product’s retail price, greenness, and quality; and model yield using a crop-response function. The analytical results derived help optimize the farm inputs, retail prices, and order quantity so that the stakeholders’ profits are maximized. We also investigate the effects of yield information sharing in this supply chain and find that the stakeholders must share yield information when environmentally conscious consumers dominate the market.
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Rafki, Muhammad, Ranti Wiliasih, and Mohammad Iqbal Irfany. "Faktor-Faktor yang Memengaruhi Volume Perdagangan Sukuk Ritel SR-008 di Indonesia." Bukhori: Kajian Ekonomi dan Keuangan Islam 1, no. 2 (January 30, 2022): 95–117. http://dx.doi.org/10.35912/bukhori.v1i2.1363.
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Abstract: Purpose: To determine the factors that influence SR-008 Retail Sukuk trading volume and sukuk trading volume response to economic variable shocks. Method: VAR / VECM. The variables used consisted of price and yield of SR-008 retail sukuk, mudharabah deposit profit sharing rate, commercial bank deposit interest rates, BI Rate, inflation, and Gross Domestic Product (GDP). The period used is from March 2016 to April 2019. Result: Show that the variable interest rates on commercial bank deposits and yields have a positive effect on trade volume. While inflation, interest rates, profit sharing rates for mudharabah deposits, BI Rate and GDP have a negative effect on retail sukuk trading volume. Keywords: 1. Retail Sukuk 2. Trading Volume 3. VECM 4. SR-008
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Lam, Terence Y. M., and Malvern Tipping. "A case study of the investment yields of high street banks." Journal of Property Investment & Finance 34, no. 5 (August 1, 2016): 521–34. http://dx.doi.org/10.1108/jpif-03-2016-0019.
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Purpose – Sale-and-leaseback has become an increasingly common approach during the last two decades in the investment of high street banks (banking-halls) in the UK. One measure commonly used in making property investment decisions is the all risks yield (ARY) which is associated with the level of rental income. Investors and their advisors need to know which factors are likely to result in the highest ARY when assembling investment portfolios of such properties. The purpose of this paper is to identify those yield influences. Design/methodology/approach – A qualitative multiple-case study was adopted. A literature review generated a hypothesis which was tested by a qualitative study, based upon semi-structured interviews and a questionnaire, to establish the influencing factors. Expert interviews were held with the heads of those three major auction-houses dealing with auctions of all retail bank premises in the Great Britain market, whilst the questionnaire survey involved investment professionals from within the auction-houses. Findings – The study confirmed that the four factors influencing yields and investors’ decision-making when purchasing retail banking premises were tenant banking company (brand names), regional location (north and south super-regions), lot size (hammer price), and tenure (freehold or leasehold). Research limitations/implications – This investigation focuses on Great Britain’s geographical and political area which includes England, Scotland and Wales, but excludes Northern Ireland. This research focuses on banking-halls as a sub-class of retail property investment. The findings form a baseline upon which further research can be conducted on other sub-types of retail property such as high street shops and retail parks. The results will also underpin the development of a quantitative yield predictive model based on regression analysis. Practical implications – To maximize the returns on property investments, investors and their professional advisors can use those factors having the greatest influence on yields to make informed investment decisions for the building of property portfolios. Originality/value – As a sub-sector, bank premises do not necessarily correlate to the generic retail sector. This research consolidates the broad systematic drivers of retail yields into specific factors influencing the ARY of banking-halls. The findings provide better understanding of an active but sparsely analysed sub-market of banking hall investments, and by so-doing help investors to maximize their investment returns.
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Bella, Firsty Izzata, and Fitria Idham Chalid. "Determinant of Indonesian Sovereign Retail Sukuk’s Return." El-Qist: Journal of Islamic Economics and Business (JIEB) 12, no. 1 (April 30, 2022): 111–24. http://dx.doi.org/10.15642/elqist.2022.12.1.111-124.
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Abstract: Retail Sukuk is one of the Islamic investment instruments that Muslim investors can choose in investing and can be used by the government as an alternative to financing the APBN deficit. This study aims to determine the effect of liquidity risk, inflation risk, and market risk on the return of Retail State Sukuk (SUKRI). A sampling of Retail Sukuk Series 009 (SR009) was conducted using the purposive sampling method with the consideration that the maturity of the series is the latest and can be traded on the secondary market. Through a multiple linear regression model with the Ordinary Least Square (OLS) analysis technique, the results indicated that simultaneously all independent variables (liquidity, inflation, and interest rates) had a significant effect on return (Yield). While partially the results have shown between each different variable where liquidity has a significant negative effect on yield, interest rates show a significant positive effect. In contrast, inflation has no significant effect on yield. The results of this study can be utilized as a reference for investors in making decisions to choose SUKRI as their investment portfolio because the yield can be viewed from both the liquidity of the Sukuk and macro-economics conditions such as inflation and interest rates. Hence, when the interest rate increases, the investor can decide to invest in SUKRI. In addition, the results of this study can be used as a consideration for the government in regulating risk management policies and determining the returns offered to SUKRI, which will be issued for the next series. Keywords: Sukuk Yield; Liquidity Risk; Retail Sukuk; Multiple Linear Regression. Abstrak: Sukuk ritel merupakan salah satu instrument investasi syariah yang dapat dipilih oleh investor muslim dalam berinvestasi dan dapat digunakan oleh pemerintah sebagai alternatif dalam membiayai defisit APBN. Penelitian ini bertujuan untuk mengetahui pengaruh risiko likuiditas, risiko inflasi, dan risiko pasar terhadap return Sukuk Negara Ritel (SUKRI). Pengambilan sampel Sukuk Ritel Seri 009 (SR009) dilakukan dengan menggunakan metode purposive sampling dengan pertimbangan jatuh tempo dari seri tersebut paling baru dan dapat diperdagangkan di pasar sekunder. Melalui model regresi linier berganda dengan teknik analisis Ordinary Least Square (OLS), hasil penelitian menunjukkan bahwa secara simultan semua variabel independen (likuiditas, inflasi, dan suku bunga) berpengaruh signifikan terhadap imbal hasil (Yield). Sedangkan secara parsial hasil yang ditunjukkan antara masing-masing variabel berbeda dimana likuiditas berpengaruh negatif signifikan terhadap Yield, suku bunga menunjukkan pengaruh positif signifikan, sedangkan inflasi tidak berpengaruh signifikan terhadap Yield. Hasil penelitian ini dapat dijadikan acuan bagi investor dalam mengambil keputusan untuk memilih SUKRI sebagai portofolio investasinya karena imbal hasil dapat ditinjau baik dari likuiditas Sukuk maupun kondisi makroekonomi seperti inflasi dan suku bunga. Sehingga, disaat suku bunga meningkat, maka investor dapat mengambil keputusan untuk berinvestasi di SUKRI. Selain itu, hasil penelitian ini dapat digunakan sebagai bahan pertimbangan bagi pemerintah dalam mengatur kebijakan manajemen risiko dan menentukan imbal hasil yang ditawarkan kepada SUKRI yang akan diterbitkan untuk seri selanjutnya. Kata Kunci: Yield Sukuk; Risiko Likuiditas; Sukuk Ritel; Regresi Linear Berganda
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Boldyreva, Natalia B., Liudmila G. Reshetnikova, Elena A. Tarkhanova, Zhanna V. Pisarenko, and Svetlana A. Kalayda. "The Impact of Tax Preferences on the Investment Attractiveness of Bonds for Retail Investors: The Case of Russia." Journal of Risk and Financial Management 13, no. 4 (April 13, 2020): 72. http://dx.doi.org/10.3390/jrfm13040072.
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The impact of tax incentives on the investment attractiveness of bonds for retail investors is assessed in the article. The paper presents a comparative empirical analysis of investment attractiveness of Russian bonds and bank deposits for domestic retail investors. We identify investment preferences of retail investors in Russia, analyze investment characteristics of deposits in Russian banks and a variety of bonds available for retail investors. Given the tax benefits of the recently introduced Individual Investment Account, we show that the real yield of investment in government bonds is over eight times higher than the yield of bank deposits. Despite higher risks of investing in bonds, we conclude that government bonds taking into account the tax benefits of the Individual Investment Account could be a realistic alternative to bank deposits for Russian retail investors.
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Apple, J. K., L. V. Cundiff, J. W. Wise, and Michael E. Dikeman. "Predicting beef carcass retail yield from hot carcass traits." Kansas Agricultural Experiment Station Research Reports, no. 1 (January 1, 1990): 45–47. http://dx.doi.org/10.4148/2378-5977.2245.
Full textDissertations / Theses on the topic "Retail yield"
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Pfeiffer, Kyle David. "Innnovative wholesale carcass fabrication and retail cutting to optimize beef value." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3344.
Full textAbstract:
This study evaluated innovations in beef wholesale carcass fabrication that may
have potential for improving subprimal yield and overall value of the beef carcass.
Thirty beef carcasses, equally representing USDA Choice and Select and USDA yield
grade 1 and 2, were selected from a commercial processing facility and transported to
Texas A&M University for subsequent fabrication. Beef sides were utilized in
comparing a conventional carcass fabrication style to a more innovative method.
Innovative forequarter subprimal yields were greater (P < 0.001) for the brisket, ribeye
roll, blade meat, and back ribs. The innovative method resulted in greater subprimal
yield and less lean trim (P < 0.001) from the forequarter. Innovative hindquarter
subprimal yields were greater (P < 0.001) for the tenderloin, top sirloin cap, bottom
sirloin tri-tip, and round tip. Hindquarter subprimal yield and lean trim were not
affected (P > 0.05). Value was greater for the innovative forequarter (P < 0.001) and
hindquarter (P < 0.01); value was increased by more than seven dollars per beef side,
thus greater than fourteen dollars per beef carcass. Selected subprimals were evaluated
in a retail cutting test. Experienced retail professionals were utilized in fabricating the
retail cuts. In general, the innovative retail subprimals performed equally or better than
the conventional subprimals. The M. Serratus ventralis fabricated from the innovative
side, comprising over 4.5% of the innovative forequarter, generated greater than 57%
steak yield and 94% saleable yield. Innovative carcass fabrication techniques resulted in
greater subprimal yield and increased the value of the entire beef carcass. These results
were verified by retail cutting tests conducted on selected subprimals.
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Gerson, Frisö Daniel. "Do Retail Investors Benefit From a High Dividend Yield? : The Dogs of the Dow strategy applied on the Swedish stock market." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-30304.
Full textAbstract:
In this thesis, the ten stocks with the highest dividend yield from the OMXS30 have been used to construct a portfolio, a strategy called The Dogs of the Dow. The portfolio was equally weighted and rebalanced every year. The purpose of this thesis is to see how the strategy would perform in terms of return and risk compared to the market. To define the market two indexes were used, OMXSPI and OMXSGI, which excludes and includes dividends respectively. A low dividends portfolio was also used as a benchmark. Though beating the market some individual years and showing a tendency of performing better in an up-going market, the strategy's average annual return of 9.69 percent for the whole period only beat one of the benchmarks. The strategy's risk was fairly similar to the market risk hence, it does not compensate the lower return with lower risk. The Sharpe ratio showed that the Dogs of the Dow portfolio had the best risk adjusted return in only two out of the eleven years. This points towards the conclusion that the strategy would not have performed better, overall, compared to the benchmarks between the years of 2005 and 2015.
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Cardoso, Leandro Lunardini. "Estimativas do rendimento comercial de novilhos com a utilização de ultrassom." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/76778.
Full textAbstract:
Foram utilizados 60 novilhos Hereford e Braford, para determinar as relações entre as medidas tradicionais nas carcaças e por ultrassom e as suas relações com os pesos e os rendimentos dos principais cortes comerciais brasileiros do traseiro pistola de novilhos terminados a pasto. Os cortes avaliados foram alcatra, coxão de dentro, coxão de fora, lagarto, lombo, filé mignon, maminha, músculo mole, músculo duro, patinho e a picanha. Os novilhos foram pesados e avaliados por ultrassom 48 h pré abate em que foram coletadas as medidas in vivo de área do músculo longissimus e espessura de gordura subcutânea entre a 12ª e a 13ª costelas, a espessura de gordura na picanha e a profundidade do músculo Gluteus medius. As correlações entre a espessura de gordura na carcaça (EGSC) e a espessura de gordura por ultrassom (EGSUS) foram de 0,93; para área do músculo longissimus medida na carcaça (AOLC) e por ultrassom (AOLUS) foi de 0,89. A medida de profundidade do músculo Gluteus medius apresentou correlação moderada com as medidas de AOLC e AOLUS de 0,42 e 0,34. Os dados foram utilizados para desenvolver equações de predição para o peso e o rendimento de cortes individuais do traseiro utilizando o procedimento de seleção de variáveis Stepwise. As medidas obtidas na carcaça explicaram de 11% a 74% na variação do peso dos cortes comerciais do traseiro e de 2% a 15% da percentagem dos cortes comerciais do traseiro pistola. As medidas in vivo por ultrassom explicaram de 18% a 71% da variação do peso dos cortes do traseiro e de 3% a 29% na variação da percentagem dos cortes comerciais do traseiro pistola. Os modelos de predição para o peso dos cortes individuais por ultrassom são tão acurados quanto os modelos que utilizam as medidas relativas à carcaça. Os resultados indicaram que o ultrassom pode estimar o peso dos cortes individuais e que as equações desenvolvidas podem ser úteis para estimar o peso dos cortes do traseiro.Sixty animals Hereford and Braford steers were evaluated to define the correlations among traditional measurements in beef cattle and by ultrasound and its relations whit the weights and retail value from the main Brazilian commercial cuts of from pistola hindquarter of the steers finished on pasture. The cuts avalueted were alcatra, coxão de dentro, coxão de fora, lagarto, lombo, filé mignon, maminha, músculo mole, músculo duro, patinho e a picanha. Steers were weighed and ultrasonically measured for 48 h before slaughter where ultrasonic images were collected from longissimus muscle area, 12th- rib backfat thickness, rump fat thickness and the Gluteus medius muscle depth. The correlation among carcass fat thickness (CFAT) whit fat thickness by ultrasound (UFAT) was 0.93, and carcass longissimus muscle area (CLMA) whit measured by ultrasound (ULMA) and carcass was 0.89. The correlation among Gluteus medius depth whit carcass longissimus muscle and ultrasound longissimus muscle area was 0.42 and 0.34. The data were used to develop prediction equations for weight and of high-value cuts percentage of pistol hindquarter used the Stepwise procedure. Measurements taken directly in the carcass explained 11% to 74% of variation in high-value cuts weight and 2% to 15% of high-value cuts percentage of pistol hindquarter. Live measurements explained 18% to 71% of variation in high-value cuts weight and 3% to 29% of variation in high-value cuts percentages of high-value cuts of pistola hindquarter. The ultrasound can be used to estimate the relationship between in vivo measurements and weights and yields of individual cuts of high commercial value in the steers with finished on pasture. Prediction models for the individual cuts weight using ultrasound are as accurate as the models that use measures relating to carcass. The models that estimate the yield of individual cuts of hindquarter do not present high value of prediction.
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Voges, Kristin Leigh. "Retail yields and fabrication times for beef subprimals from two grade groups." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1418.
Full textAbstract:
Beef subprimals (n = 356), representing USDA Low Choice and Select grades,
were obtained from a major beef processor. Selected subprimals represented the normal
weight variation and standard packer fat trim levels associated with commodity boxed
beef. The subprimals selected included beef rib, blade meat; beef rib, ribeye roll, lip-on,
bone-in; beef rib, ribeye roll (0x0); beef rib, ribeye, lip-on (2x2) (5.08 cm x 5.08 cm);
beef rib, ribeye, lip-on modified (1x1) (2.54 cm x 2.54 cm); beef rib, ribeye (IM,
individual muscle); beef rib, ribeye cap (IM); beef chuck, outside shoulder clod,
trimmed; beef chuck, outside shoulder clod, top blade roast; beef chuck, square cut,
pectoral meat (IM); beef chuck, chuck roll; beef plate, inside skirt (IM); beef round, top
(inside) untrimmed; beef round, outside round (flat); beef round, eye of round (IM); beef
loin, strip loin, bone in; beef loin, strip loin, boneless; beef loin, top sirloin butt,
boneless, 2-piece; beef loin, bottom sirloin butt, flap boneless (IM); beef loin, bottom
sirloin butt, ball tip, boneless; beef loin, bottom sirloin butt, tri-tip, boneless (IM); and
beef chuck, outside shoulder, clod M. teres major. Subprimals were fabricated into
bone-in or boneless retail or foodservice cuts and associated components by trained
retail meat cutters. After each retail cutting test, trained technicians recorded weights of
all cuts, lean trim, fat trim, and bone. All retail cuts were trimmed to an eighth of an
inch (0.32 cm), unless otherwise specified. Time (s) was recorded for each-cutting test
and in two major phases: opening (retrieval of the subprimal from vacuum-packaged
bag) and cutting (removal of all external and seam fat, connective tissue, and separation
of individual muscles, as well as producing tray ready retail cuts). In general, Select
subprimals had higher saleable yields than Choice subprimals. Select subprimals had
less trimmable fat than Choice subprimals, and differences in retail yields appeared to
follow these factors. Few significant differences were observed for processing times
between USDA quality grade groups. These data will serve as an update to the CARDS
(Computer Assisted Retail Decision Support) software program.
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Silva, Saulo da Luz e. "Milho grão seco, úmido e sais de cálcio de ácidos graxos em dietas para novilhos Nelore em confinamento: desempenho, características de carcaça e perfil de ácidos graxos." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/74/74131/tde-01082005-094202/.
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A maioria dos bovinos criados sob condições brasileiras normalmente sofre alguma restrição alimentar, que exerce efeitos negativos sobre o sistema de produção, implicando em perdas econômicas e de qualidade. Com o objetivo de reduzir esses problemas o confinamento de bovinos com dietas com alta percentagem de grãos é uma alternativa. No entanto, especialmente em relação a raça Nelore, maioria do rebanho brasileiro, a resposta a dietas com alta percentagem de grãos (amido) apresenta resultados variados. Diferentes formas de processamento dos grãos, bem como o aumento da densidade energética da dieta através da adição de gordura também têm sido estudadas. O objetivo deste trabalho foi avaliar o efeito do fornecimento de dietas contendo milho grão seco, milho grão úmido e sais de cálcio de ácidos graxos (SCAG) sobre o desempenho características de carcaça e perfil de ácidos graxos do músculo Longissimus dorsi de novilhos Nelore em fase de terminação, bem como utilizar medidas de ultra-sonografia para estimar rendimento da porção comestível após o abate. O fornecimento de milho grão úmido não alterou o ganho médio diário, reduziu a ingestão de matéria seca e tendeu a diminuir a conversão alimentar. A concentração de ácidos graxos polinsaturados, a relação polinsaturado:saturado, ácidos graxos n-6 e a relação n-6:n-3 foi maior nos animais que receberam as dietas contendo milho úmido. Os SCAG não influenciaram o ganho médio diário, aumentaram a ingestão de alimento, sem efeito sobre a conversão alimentar. Os SCAG aumentaram a percentagem de ácidos graxos n-6, bem como a relação n-6:n-3. As equações para estimativa do peso dos cortes comerciais utilizando medidas de ultra-som apresentaram acurácia semelhante àquelas utilizando as medidas obtidas diretamente na carcaça após o abateThe majority of the beef cattle raised under Brazilian conditions is periodically submitted to feed restrictions, which have negative effects to the production system, causing economic and qualitative losses. Feedlot finishing beef cattle is one alternative to avoid these losses. However, the Brazilian herd is composed mostly of cattle from the Nellore breed, which frequently do not have a good performance with diets with a high proportion of grains (starch). Several grain processing ways or increasing energy density through the inclusion of fat have been studied to improve animal performance. The aim of this study was to evaluate the effect of diets with dry corn grain, high moisture corn grain and calcium salts of fatty acids (SCAG) on the performance, carcass characteristics and fatty acids profile of the Longissimus dorsi muscle of feed lot finished Nellore steers, as well as to utilize ultrasound measurements to evaluate the edible portion after slaughter. Feeding high moisture corn had no effect on weight gain, but decreased dry matter intake and showed a tendency to decrease feed conversion. High moisture corn diets increased polyunsaturated fatty acids and the ratio of polyunsaturated to saturated fatty acids and also had greater proportion o n-6 and n-6 to n-3 ratio. Feeding SCAG did not affect average daily gain, increased feed intake without effect on feed conversion. The SCAG increased n-6 percentage and the n6 to n3 ratio. The equations to estimate the weight of the retail products using ultrasound measurements showed accuracy similar to those equations using measurements obtained in the carcass after slaughter
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Novianti, Irida. "Molecular genetics of cattle muscularity." Thesis, 2011. http://hdl.handle.net/2440/69482.
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Genetic improvement is a goal of most livestock industries and molecular information can contribute to the accuracy of selection and hence rate of genetic improvement. The aim of this study was to obtain molecular information that can be used to assist selection for muscularity in cattle. Quantitative trait loci (QTL) mapping for traits related to muscularity (but not growth), candidate gene identification and association studies between the candidate genes and the muscularity related traits were conducted. Interactions between the candidate genes and myostatin, a gene known to have a major role on muscularity in cattle, were also examined. Genotype and phenotype data from the JS Davies cattle gene mapping project were used for this study. QTL for muscularity related traits across 3 sire families were mapped in 366 double back cross progeny from pure Limousin (carrying the myostatin F94L variant) and Jersey cows. Cohort and breed were fitted in the model. A model that included the myostatin F94L genotype was also fitted to identify chromosomal regions in which gene(s) that may be epistatic with myostatin reside. Covariates were used to obtain QTL for carcass traits related to muscularity and not related to growth. In total, all the QTL mapped to 15 regions on 11 chromosomes (BTA 1, 2, 3, 4, 5, 8, 9, 11, 13, 14 and 17). In terms of the traits that best define muscularity, the QTL on cattle chromosomes 2, 3 and 17 were of greatest interest. Fitting the myostatin F94L genotype in the model indicated that the QTL on chromosome 17 are likely to be epistatic with myostatin. Six candidate genes were selected based on the QTL results of the study herein and
previous studies on the same population. The genes were activin receptor type 1 (ACVR1), smad nuclear interacting protein 1 (SNIP1), similar to follistatin-like 5 (FSTL5), transforming growth factor β receptor 3 (TGFBR3), insulin like growth factor 1 (IGF1) and follistatin (FST). DNA variants of FSTL5 were associated with the traits of interest but there was no interaction with myostatin. DNA variants in TGFBR3 and SNIP1 had no direct effect on muscularity traits but there were significant interactions with myostatin. For IGF1 and FST, their DNA variants had direct effects on muscularity related traits and there were significant interactions with myostatin. FST SNP7 and the interaction between IGF1 SNP2 and myostatin had the most significant effects on muscularity related traits (P<0.01). The results of this study showed that there are genes affecting muscularity not related to growth and some of these interact epistatically with myostatin. Furthermore, potential markers for muscularity have been discovered (eg. FST). Further studies in larger cattle populations need to be undertaken to confirm the
results herein before these markers can be utilised commercially.Thesis (M.Ag.Sc.) -- University of Adelaide, School of Animal and Veterinary Sciences, 2011
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Smith, Amanda 1987. "Dry Versus Wet Aging of Beef: Retail Cutting Yields and Palatability Evaluations of Steaks Using Alternative Cutting Styles." Thesis, 2012. http://hdl.handle.net/1969.1/148309.
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Boneless ribeye rolls (n = 12) and boneless top sirloin butts (n = 12) were obtained from heavy weight carcasses (mean = 407.8 kg), assigned to one of two aging treatments (dry or wet) and aged for 35 days at a commercial aging facility. Cutting tests were performed at the end of the aging period to determine retail yields. Subprimals were fabricated using the Beef Alternative Merchandising cutting styles, isolating four specific muscles: M. spinalis thoracis, M. longissimus thoracis, M. gluteobiceps, and M. gluteus medius. Retail cutting tests showed wet-aged subprimals had higher (P < 0.0001) total saleable yield percentages with decreased cooler shrink and gross cut loss percentages. This resulted in wet-aged ribeye rolls and top sirloin butts yielding 1.5 times and 1.3 times more saleable product than dry-aged counterparts, respectively. In order to determine palatability characteristics, consumer sensory evaluations and trained panel evaluations were preformed. Palatability related to aging and muscle type resulted in significant differences. From a consumer standpoint, aging treatment influenced OLIKE, FLAV, FLEVEL, and BEEFLIKE but only through the interaction of aging treatment x muscle. Clearly, consumers rated the wet-aged, M. spinalis thoracis highest in each of the previously stated attributes. Aging also affected JUIC, whereas muscle type had a significant (P < 0.0001) effect on FLVBF, TEND, LEVTEND, JUIC, and LEVJUIC. As far as trained sensory attributes were concerned, a more concrete flavor profile of aged beef was obtained. In addition, dry-aged steaks had greater (P < 0.0001) cooking yield percentages when compared to wet-aged steaks.
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Chang, Cheng-hsuan, and 張承軒. "Research on Immediately Promote E-coupon to Improve Retailer Yield Management Problems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/79210419585022162511.
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碩士國立中山大學
資訊管理學系研究所
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As the e-coupon group-buying is getting popular, there are many sellers using e-coupon group-buying as an advertising strategy by providing e-coupon with big discount. However, there were many complaints from consumers saying that they couldn’t reserve the services on peak time as they wished. It turns out that the sellers could not achieve the advertising effect but the negative image. We found the good time for sellers doing advertising by selling e-coupon is on the off-peak time. Based on above observation, this study tried to explore whether the service industry can enhance the impulse buying behavior and thus improve yield management performance by selling e-coupons through mobile devices. An online experiment with questionnaire was implemented to collect research data. The research results include: (1) The quantity of e-coupon provided by the sellers will not have significant impact on time pressure perceived by the consumers directly. However, if the limited quantity lets consumer recognize its scarcity, it will increase consumer perceived time pressure and perceived value as well. (2) In addition to the perceived scarcity, the e-coupon discount also has positive influence on consumer perceived value. (3) The shorter distance the location of the store is, the better perceived location will be. (4) The consumer impulse buying intention will be impacted by the perceived time pressure, perceived value, perceived location and impulse characteristic of the consumer. Among them, the perceived value has highest influence and the second is consumer impulse characteristic followed by the perceived location.
Books on the topic "Retail yield"
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Palmer, John P. D. An investigation of customer yield and the strategic value of its use in a retail performance measurement system. [Derby: University of Derby], 1998.
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Lenz, John Eugene. A retail-level hedonic analysis of milk component values. 1989.
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Maximum Yield: Optimizing Customer Value in Retail Banking (Wiley and SAS Business Series). Wiley, 2007.
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Riley, Barry. Change . . . and Resisting Change. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190228873.003.0022.
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The combination of ongoing U.S. budget stringency and continually increasing prices for food globally means that the size of traditional food aid shipments has been dropping. But so, too, has the number of food-insecure people. Is the need for food aid also declining? The number of refugees and conflict-displaced people is at an all-time high. In absolute numbers the food security situation in Sub-Saharan Africa is not improving. Continued high population growth and a slowing of progress in agricultural yields in that continent may mean that the hunger problem may well increase rather than decrease over the next fifty years. A continuation of global warming trends seems likely to further retard yields of unirrigated food crops and increase food prices in poor countries. Can the experience of the past 220 years of American responses to hunger abroad inform America’s responses in the decades ahead?
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Judd, Orrin. Redefining Sovereignty: Will the Citizens of Liberal Democracies Retain the Right to Determine Their Own Laws and Public Policies or Will They Yield These ... Order and Justice? (Smith and Kraus Global). Smith & Kraus, 2005.
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Shetto, Richard, Saidi Mkomwa, Ndabhemeye Mlengera, and Remmy Mwakimbwala. "Conservation agriculture in the southern highlands of Tanzania: learnings from two decades of research for development." In Conservation agriculture in Africa: climate smart agricultural development, 122–36. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0006.
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Abstract Since its introduction into the Southern Highlands of Tanzania by researchers 25 years ago, Conservation Agriculture (CA) has been well received, researched and the concept proven to be increasing productivity and incomes, enhancing resilience of livelihoods and contributing to reducing greenhouse gas emissions. CA research, as defined by the three interlined principles, was introduced into the Southern Highlands by the Tanzania Agricultural Research Institute (TARI) Uyole, formerly Agricultural Research Institute (ARI) Uyole around 1995. Research results showed a labour saving of up to 70% in CA compared to conventional tillage, yield increases of 26%-100% and 360% for maize and sunflower, respectively, partly attributed to higher moisture content (18%-24%) in CA systems. CA was also found to be much more effective in mitigating dry spells and increasing productivity in maize production in areas where average annual rainfall is less than 770 mm. Economic analysis of maize production showed that profits in CA were three times more than in conventional tillage production at US$526.9 ha-1 and US$ 176.6 ha-1, respectively. Profits were twice as much for beans under CA at US$917.4 ha-1 compared to US$376.3 ha-1 for conventional practice. Studies confirm that 5% of farmers in the Southern Highlands have adopted CA. Increased uptake requires addressing challenges including resistance to change in mindset, inaccessibility of appropriate mechanization and cover crop seeds, traditions of free-range communal grazing of livestock (which makes it difficult for farmers to retain crop residue in their farms) and shortage of investment capital. A holistic value chain approach is recommended in CA interventions, bringing together various stakeholders including scientists, trainers, extension workers, administrators, policy makers, agro-inputs and machinery dealers, machinery service providers, agro-processors and financial institutions. The innovations adaptation set-up brings service providers closer to farmers for co-innovation. Long-term CA programmes are recommended, with farmers being taken through the complete learning cycle in testing CA technologies under their own farm environments. This should be complemented by entrepreneurial CA machinery hire services provision to increase the availability of farm power to smallholders unlikely to have the capital or skills to buy and manage their own machinery. The proof of application of the CA concept in the Southern Highlands has set the stage for further scaling the adoption of CA through support from national policies and programmes.
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Zhang, G. Peter, and Min Qi. "Predicting Consumer Retail Sales Using Neural Networks." In Neural Networks in Business, 26–40. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-31-0.ch002.
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Forecasting future retail sales is one of the most important activities that form the basis for all strategic and planning decisions in effective operations of retail businesses as well as retail supply chains. This chapter illustrates how to best model and forecast retail sales time series that contain both trend and seasonal variations. The effectiveness of data preprocessing such as detrending and deseasonalization on neural network forecasting performance is demonstrated through a case study of two different retail sales: computer store sales and grocery store sales. We show that without data preprocessing neural networks are not able to effectively model retail sales with both trend and seasonality in the data, and either detrending or deseasonalization can greatly improve neural network modeling and forecasting accuracy. A combined approach of detrending and deseasonalization is shown to be the most effective data preprocessing technique that can yield the best forecasting result.
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Gutierrez, Manuel. "Peer-to-Peer Lending as an Alternative Investment Asset Class in the EU." In Advances in Human Resources Management and Organizational Development, 56–98. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4148-6.ch003.
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The aftermath of the 2007-2009 financial crisis and European debt crisis proved to be a transformative event to financial markets, primarily in the areas of fixed-income asset yields and asset price appreciation due to wide-spread credit contraction at the retail level. After worldwide markets collapsed for equities and many corporate debt securities, frightened investors liquidated holdings at absurdly low prices. However, the worldwide recovery, while uneven, remains underway. Yet despite the recoveries in the broader indices, individual investors at the retail level have not widely shared in market gains after exiting from their investments during the crises. As a result of uncomfortably high asset prices and the lack of income potential to investment-grade fixed income investments, new alternatives are sought which may present better yield-earning potential amidst the current credit market environment made available by certain Fintech companies.
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Doe, Joshua Kofi, and George Kofi Asamoah. "CRM as Antecedent of Electronic Retailing and Online Customer Satisfaction." In Building a Brand Image Through Electronic Customer Relationship Management, 169–200. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5386-5.ch008.
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As location-based banking continues to give way for online banking globally, this chapter examines whether e-tailing practices yield customer satisfaction. The chapter also examines how CRM influences e-tailing and whether e-tailing can serve as a medium through which CRM yields customer satisfaction. Data, conveniently collected from 681 bank customers, were used for this study and analysed with PLS-SEM. The study found that CRM practices lead to better customer retail buying experiences for banks. E-tailing, mostly perceived by customers as an innovation in the service delivery process of banks, improved the image perceptions of banks. The study suggests that as part of a digital channel configuration, banks must build customer relationship marketing technologies as a backbone.
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Barth, J. E. (Joe). "Optimisation of Wine and Spirit Inventory Assets in Fine Dining Restaurants." In Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry, 365–80. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1054-3.ch017.
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Research on profit optimisation in the travel sector of hospitality industry has been dominated by the development of effective revenue management techniques to help managers in situations where demand is variable, variable costs are low, assets are fixed and perishable. These techniques have been extended to the restaurant sector, with recognition that variable costs are a larger proportion of total costs and not fixed. In fine dining restaurants substantive wine and spirit inventories present operators with the challenge of how to optimise the sales per dollar of inventory. Theoretical foundations of yield management, retail inventory optimisation and menu engineering are reviewed with direct application to the development of the WINSPID model of wine list and wine inventory optimisation. Data from a successful fine dining restaurant are used to illustrate how the model can be used to improve the sales efficiency of the wine list and inventory. Opportunities to extend the model to spirit inventories are proposed.
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Diebold, Francis X., and Glenn D. Rudebusch. "Arbitrage-Free Nelson-Siegel." In Yield Curve Modeling and Forecasting. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691146805.003.0003.
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This chapter discusses a new class of affine arbitrage-free models that overcome the problems with empirical implementation of the canonical affine arbitrage-free model. This new class is based on the dynamic Nelson–Siegel model (DNS) and retains its empirical tractability. Thus, from one perspective, the chapter takes the theoretically rigorous but empirically problematic affine arbitrage-free model and makes it empirically tractable by incorporating DNS elements. From an alternative perspective, it takes the DNS model and makes it theoretically more satisfactory. DNS is simple and stable to estimate, and it is quite flexible and fits both the cross section and time series of yields remarkably well. However, DNS fails on an important theoretical dimension: It does not impose the restrictions necessary to eliminate opportunities for riskless arbitrage. The lack of freedom from arbitrage motivated Diebold et al. (2005) and Christensen et al. (2011) to introduce the class of arbitrage-free Nelson–Siegel (AFNS) yield curve models, which are affine arbitrage-free term structure models that nevertheless maintain the DNS factor-loading structure.
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Gutierrez, Manuel. "Fintech Impact on EU Retail Savings and Investment." In Advances in Human Resources Management and Organizational Development, 99–152. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4148-6.ch004.
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Years after the 2007-2009 financial crisis and European debt crisis, the European Union's (EU) banking system sustained persistent strain due to those two shocks, austerity and economic contraction, political events, poor banking operations, enhanced regulation, and litigation. The European Central Bank's response was significant: short-term interest rates collapsed and markets were flooded with money via quantitative easing programs. Consequently, investors fled risky assets for the safety of government debt. Yet as banks recovered, savers sacrificed asymmetrically: yields on bank deposits and bonds were decimated. As macroeconomic challenges subsided, Fintech increasingly threatened legacy financial institutions' business models to the benefit of the EU savings public. This study assesses the impact by Fintech companies on legacy banks in the EU with respect to savings, lending, and wealth management. This study also assesses and makes recommendations on a strategy by Fintech to benefit savers, and the measures legacy institutions must take to survive amidst this new competitive landscape.
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Jahan, Israt. "Phyto-Nanofabrication." In Handbook of Research on Green Synthesis and Applications of Nanomaterials, 51–76. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8936-6.ch003.
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Green synthesis of metallic nanoparticles through natural entities (i.e., bacteria, actinomycetes, yeast, fungus, microalgae, seaweed, plants, and plant-derived materials) has become an advantageous and ecofriendly approach. However, phytocompounds of plant extract have achieved huge attention since by utilizing them high yield NPs with desirable size and shape, which can be produced through single-step synthesis scheme. Plants retain diverse biochemicals that exhibit strong hyper-accumulating potential, crucial for metallic ion reduction to metallic NPs, like platinum, gold, silver, titanium oxide, iron oxide, copper oxide, zinc oxide, palladium, etc. Here, previously published studies were reviewed for providing the latest scientific evidence on biosynthesis of metal and metal oxide NPs using different plant materials, especially medicinal plants and food and agro-wastes.
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Ayan, Alp, Sinan Meriç, Tamer Gümüş, and Çimen Atak. "Current Strategies and Future of Mutation Breeding in Soybean Improvement." In Soybean - Recent Advances in Research and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104796.
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Soybean, which has many foods, feed, and industrial raw material products, has relatively limited genetic diversity due to the domestication practices which mainly focused on higher yield for many centuries. Besides, cleistogamy in soybean plant reduces genetic variations even further. Improving genetic variation in soybean is crucial for breeding applications to improve traits such as higher yield, early maturity, herbicide, and pest resistance, lodging and shattering resistance, seed quality and composition, abiotic stress tolerance and more. In the 21st century, there are numerous alternatives from conventional breeding to biotechnological approaches. Among these, mutation breeding is still a major method to produce new alleles and desired traits within the crop genomes. Physical and chemical mutagen protocols are still improving and mutation breeding proves its value to be fast, flexible, and viable in crop sciences. In the verge of revolutionary genome editing era, induced mutagenesis passed important cross-roads successfully with the help of emerging supportive NGS based-methods and non-destructive screening approaches that reduce the time-consuming labor-intensive selection practices of mutation breeding. Induced mutagenesis will retain its place in crop science in the next decades, especially for plants such as soybean for which cross breeding is limited or not applicable.
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Mupepi, Mambo, and Jaideep Motwani. "Deconstructing Talent." In Advances in Human Resources Management and Organizational Development, 83–100. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1961-4.ch007.
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The discourse in this presentation is about how talent can be viewed as appropriate techniques and explicit practices enhanced by experience useful in the value creation system. Talent can be deconstructed to progress the necessary efficacy in organization. A limited literature is drawn to understand the role of structures and technology in the value creation process. Value is created anytime an action is taken for which the benefits exceed the costs, or the moment an action can be prevented for which the costs exceed the benefits. A co-constructed competency model can be initiated to comprehend a systemic approach to enhancing performance and the design of strategy to retain talent and nurture the skillfulness and knowing necessary in boosting yields in diversified entities.
Conference papers on the topic "Retail yield"
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Ayudia, Faraz, Ummu Salma, and Budi Yusuf. "The Effect of Inflation, Exchange Rate and Yield of Retail Sukuk to Trade Volume of The Retail State Sukuk Series SR-007 in Secondary Market." In Proceedings of the 2nd International Conference of Business, Accounting and Economics, ICBAE 2020, 5 - 6 August 2020, Purwokerto, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.5-8-2020.2301133.
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Ahmed, Nesreen, Nick Duffield, and Liangzhen Xia. "Sampling for Approximate Bipartite Network Projection." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/456.
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Bipartite graphs manifest as a stream of edges that represent transactions, e.g., purchases by retail customers. Recommender systems employ neighborhood-based measures of node similarity, such as the pairwise number of common neighbors (CN) and related metrics. While the number of node pairs that share neighbors is potentially enormous, only a relatively small proportion of them have many common neighbors. This motivates finding a weighted sampling approach to preferentially sample these node pairs. This paper presents a new sampling algorithm that provides a fixed size unbiased estimate of the similarity matrix resulting from a bipartite edge stream projection. The algorithm has two components. First, it maintains a reservoir of sampled bipartite edges with sampling weights that favor selection of high similarity nodes. Second, arriving edges generate a stream of similarity updates, based on their adjacency with the current sample. These updates are aggregated in a second reservoir sample-based stream aggregator to yield the final unbiased estimate. Experiments on real world graphs show that a 10% sample at each stage yields estimates of high similarity edges with weighted relative errors of about 1%.
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Latinovic, Milica, Veljko Dmitrovic, and Sladjana Benkovic. "THE ENVIRONMENTAL IMPACT OF THE DIGITAL FINANCIAL INCLUSION: THE CASE OF THE REPUBLIC OF SERBIA." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2022. http://dx.doi.org/10.47063/ebtsf.2022.0015.
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Climate change is one of the most important issues in today’s world. To address this matter, countries and companies are trying to become more sustainable. Countries have set the targets for greenhouse gas emissions reduction, which cannot be reached without the joint effort of the retail, small, medium, and corporate sector. Moreover, emissions and pollution reductions can be achieved through the economic and social development. Digitalization proved to be a fast-track for the economic growth and green development. That fast track becomes even faster if the country’s financial system has a certain level of development. This study is based on two secondary datasets and focuses on the Republic of Serbia, in the period of 2005-2018. The aim of this research is to determine the state of financial inclusion in the Republic of Serbia, and to test the relation between financial inclusion and carbon emissions. Based on correlation analysis, the results suggest that higher number of bank branches will result in higher CO2 emissions. Conversely, the introduction of more Automated Teller Machine (ATM) will yield lower carbon emissions. Results show that digitalization of financial transactions is enhanced, and environmental indicators are slightly decreasing. Therefore, findings suggest that digital financial inclusion in the Republic of Serbia can lead to carbon emissions reduction. Such results are important for policy makers since further digitalization can help in completing the goals of the Sustainable Development Agenda 2030.
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Wang, Z., S. Azarm, and P. K. Kannan. "Strategic Product Design Decisions for Uncertain Market Systems Using an Agent Based Approach." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28778.
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Market players, such as competing manufacturing firms and retail channels, can significantly influence the demand and profit of a new product. Existing methods in design for market systems use game theoretic models that can maximize a focal manufacturing firm’s profit with respect to product design and price variables given the Nash equilibrium of the market system. However, in the design for uncertain market systems, there is seldom equilibrium with players having fixed strategies in a given time period. In this paper, we propose an agent based approach for design for market systems that accounts for learning behaviors of the market players under uncertainty. By learning behaviors we mean that market players gradually, over a time period, learn to play with better strategies based on action-reaction behaviors of other players. We model a market system with agents representing competing manufacturers and retailers who possess learning capabilities and are able to automatically react and make decisions on the product design and pricing. The proposed approach provides strategic design and pricing decisions for a focal manufacturer in response to anticipated reactions from market players in the short and long term horizons. Our example results show that the proposed agent based approach can produce competitive strategies for a focal firm over a time period when market players react only by setting prices compared to a game theoretic approach. Furthermore, it can yield profitable product design decisions and competitive strategies when competing firms react by changing design attributes in the short term — a case for which no previous method in design for market systems has been reported.
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"A Cross Sectional Study of Retail Yields Across the UK." In 10th European Real Estate Society Conference: ERES Conference 2003. ERES, 2003. http://dx.doi.org/10.15396/eres2003_138.
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Moroto, Robert H., Robert R. Bitmead, and Amit Pandey. "Linear Grey-Box Modeling of Gas Turbine Engines for MIMO Control Design." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75847.
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High-fidelity models are an increasingly indispensable tool for evaluating high-performance control and optimization algorithms of gas turbine (GT) engines. However, GT high-fidelity models (HFM’s) are often too complex for synthesizing model-based control and optimization algorithms, which are much more amenable to low-order linear dynamic models. Obtaining models suitable for control synthesis can be arduous and costly. White-box (first-principles) methods may produce models that lose fidelity in off-nominal conditions, while black-box (data-driven) methods yield model parameters without physical significance, preventing generalization of the model across product configurations. This paper presents a grey-box method for obtaining low-order linear dynamic models for a 5.5 MW GT engine that retain fidelity at off-nominal conditions and generalize to multiple product configurations. The approach exploits the structure of an available HFM by grouping its constituent component-level models according to their suitability to white-box or black-box modeling. Specifically, the rotor model is linearized, yielding a first-order linear model with adjustable physical parameters, e.g. inertia. A second-order open-loop linear model is obtained from remaining component-level models via system identification using closed-loop data generated by the HFM. The linear models are combined to form a third-order open-loop linear GT engine model, which retains fidelity with the HFM in transient validation experiments, and multiple rotor inertia values.
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Sherman, Matthew, and Alexander Leonessa. "An Applied Method of Instruction for Feedback Control Systems and Mechatronics to Undergraduate Engineering Students at the University of Central Florida." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81527.
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By using a hands-on method of instruction, as opposed to one solely based on theory, students are able to grasp information contained within a subject in an easier manner and retain it at a greater rate. Through the application of this premise it is possible to bridge the gap between educational theory and industrial application. The purpose of this research is to develop an applied method of instruction of both Feedback Control Systems and Mechatronics to undergraduate Aerospace and Mechanical Engineering students at the University of Central Florida (UCF). This will in-turn yield an enhanced union between the classroom and real world application.
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Lipkin, Harvey. "Material and Local Time Derivatives of Screws With Applications to Dynamics and Stiffness." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57506.
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Screw quantities provide geometric insight into three-dimensional mechanics modeled by rigid bodies and lumped parameters. Four distinct cases of time differentiation are examined by combining fixed and moving body derivatives (fundamental to rigid body mechanics) with material and local derivatives (fundamental to continuum mechanics). Three combinations always yield another screw quantity while the most common, the material derivative with respect to the fixed body, does not. Two fundamental formulations are examined with this last derivative, Euler’s Laws and the gravitational loading of an elastic system. By coincidence, the formulations appear screw-like when they are expressed at the center-of-mass but, in contrast to actual screw formulations, they do not retain invariant forms when expressed at arbitrary points.
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Volkova, A. S., A. A. Mnatsakanyan, and G. V. Chuvarleeva. "“Nanosilicon” and productivity of soybean in the central zone of the Krasnodar region." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-7.
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This article indicates the results of studies of the effect of various doses of mineral fertilizers with trace elements based on pure silicon – “Nanosilicon” – on the productivity of soybean plants. Soya is a unique crop in its specificity. It is widely used in the food industry, both in the process of human food production, and in the production of animal feed. Silicon is the second most abundant element in the lithosphere of our planet. It increases stress resistance of plants, improves absorbing capacity of the root system, helps plants to retain moisture in the dry period, and strengthens the cell walls of plants. In general, the result was positive regardless of the amount of the preparation used, so the yield increased on average by 12.9 %, oil collection – by 12.8 %, and protein collection – by 15.1 %.
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Kessler, Travis, Thomas Schwartz, Hsi-Wu Wong, and J. Hunter Mack. "Evaluating Diesel/Biofuel Blends Using Artificial Neural Networks and Linear/Nonlinear Equations." In ASME 2021 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icef2021-67785.
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Abstract The use of biomass-derived additives in diesel fuel mixtures has the potential to increase the fuel’s efficiency, decrease the formation of particulate matter during its combustion, and retain the fuel’s behavior in cold weather. To this end, identifying compounds that enable these behaviors is paramount. The present work utilizes a series of linear and non-linear equations in series with artificial neural networks to predict the cetane number, yield sooting index, kinematic viscosity, cloud point, and lower heating value of multi-component blends. Property values of pure components are predicted using artificial neural networks trained with existing experimental data, and these predictions and their expected errors are propagated through linear and non-linear equations to obtain property predictions for multi-component blends. Individual component property prediction errors, defined by blind prediction median absolute error, are 4.91 units, 7.84 units, 0.06 cSt, 4.00 °C, and 0.55 MJ/kg for cetane number, yield sooting index, kinematic viscosity, cloud point, and lower heating value respectively. On average, property predictions for blends are shown to be accurate to within 6% of the blends’ experimental values. Further, a multitude of compounds expected to be produced from catalytically upgrading products of fast pyrolysis are evaluated with respect to their behavior in diesel fuel blends.
Reports on the topic "Retail yield"
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Arango-Arango, Carlos A., Yanneth Rocío Betancourt-García, and Manuela Restrepo-Bernal. An Application of the Tourist Test to Colombian Merchants. Banco de la República, October 2021. http://dx.doi.org/10.32468/be.1176.
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Cash is still widely used in Colombia, even among merchants that accept payment cards. Indeed, 60% of these merchants use dissuasive strategies to make their clients pay with cash. This shows that merchant service costs (MSC) for cards are not optimal in the sense of the Tourist Test. We present estimates of MSC compatible with the Tourist Test, such that merchants are indifferent between being paid with cash or cards. We find that cash is less costly than cards at the average retail-sales transaction-value, hence there is no positive optimal MSC at this ticket value. For the average card transaction ticket, the optimal MSC would be positive but far below the rates charge by the industry (0.74% in a short-term scenario). Yet, the additional incentive that sales-tax evasion provides to cash payments reduces the Tourist Test MSC to 0.44%. Our estimates for long-term scenarios yield even lower optimal MSC. An average price cap regulation that strikes a middle ground between these figures, and is complemented with sales-tax evasion measures, should discourage merchant strategies that deter consumers from paying with cards and will accommodate the wide heterogeneity in merchants´ scale, payment processing processes and ticket size. These results should be taken as a guideline as the estimations depend on the underlying assumptions and only consider the merchant´s side of the card industry.
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Lazonick, William. Investing in Innovation: A Policy Framework for Attaining Sustainable Prosperity in the United States. Institute for New Economic Thinking Working Paper Series, March 2022. http://dx.doi.org/10.36687/inetwp182.
Full textAbstract:
“Sustainable prosperity” denotes an economy that generates stable and equitable growth for a large and growing middle class. From the 1940s into the 1970s, the United States appeared to be on a trajectory of sustainable prosperity, especially for white-male members of the U.S. labor force. Since the 1980s, however, an increasing proportion of the U.S labor force has experienced unstable employment and inequitable income, while growing numbers of the business firms upon which they rely for employment have generated anemic productivity growth. Stable and equitable growth requires innovative enterprise. The essence of innovative enterprise is investment in productive capabilities that can generate higher-quality, lower-cost goods and services than those previously available. The innovative enterprise tends to be a business firm—a unit of strategic control that, by selling products, must make profits over time to survive. In a modern society, however, business firms are not alone in making investments in the productive capabilities required to generate innovative goods and services. Household units and government agencies also make investments in productive capabilities upon which business firms rely for their own investment activities. When they work in a harmonious fashion, these three types of organizations—household units, government agencies, and business firms—constitute “the investment triad.” The Biden administration’s Build Back Better agenda to restore sustainable prosperity in the United States focuses on investment in productive capabilities by two of the three types of organizations in the triad: government agencies, implementing the Infrastructure Investment and Jobs Act, and household units, implementing the yet-to-be-passed American Families Act. Absent, however, is a policy agenda to encourage and enable investment in innovation by business firms. This gaping lacuna is particularly problematic because many of the largest industrial corporations in the United States place a far higher priority on distributing the contents of the corporate treasury to shareholders in the form of cash dividends and stock buybacks for the sake of higher stock yields than on investing in the productive capabilities of their workforces for the sake of innovation. Based on analyzes of the “financialization” of major U.S. business corporations, I argue that, unless Build Back Better includes an effective policy agenda to encourage and enable corporate investment in innovation, the Biden administration’s program for attaining stable and equitable growth will fail. Drawing on the experience of the U.S. economy over the past seven decades, I summarize how the United States moved toward stable and equitable growth from the late 1940s through the 1970s under a “retain-and-reinvest” resource-allocation regime at major U.S. business firms. Companies retained a substantial portion of their profits to reinvest in productive capabilities, including those of career employees. In contrast, since the early 1980s, under a “downsize-and-distribute” corporate resource-allocation regime, unstable employment, inequitable income, and sagging productivity have characterized the U.S. economy. In transition from retain-and-reinvest to downsize-and-distribute, many of the largest, most powerful corporations have adopted a “dominate-and-distribute” resource-allocation regime: Based on the innovative capabilities that they have previously developed, these companies dominate market segments of their industries but prioritize shareholders in corporate resource allocation. The practice of open-market share repurchases—aka stock buybacks—at major U.S. business corporations has been central to the dominate-and-distribute and downsize-and-distribute regimes. Since the mid-1980s, stock buybacks have become the prime mode for the legalized looting of the business corporation. I call this looting process “predatory value extraction” and contend that it is the fundamental cause of the increasing concentration of income among the richest household units and the erosion of middle-class employment opportunities for most other Americans. I conclude the paper by outlining a policy framework that could stop the looting of the business corporation and put in place social institutions that support sustainable prosperity. The agenda includes a ban on stock buybacks done as open-market repurchases, radical changes in incentives for senior corporate executives, representation of workers and taxpayers as directors on corporate boards, reform of the tax system to reward innovation and penalize financialization, and, guided by the investment-triad framework, government programs to support “collective and cumulative careers” of members of the U.S. labor force. Sustained investment in human capabilities by the investment triad, including business firms, would make it possible for an ever-increasing portion of the U.S. labor force to engage in the productive careers that underpin upward socioeconomic mobility, which would be manifested by a growing, robust, and hopeful American middle class.