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After a year of adjusting to the shocks associated with COVID-19 the Canadian cattle and beef sector faces a relatively optimistic future. This note examines the past year for this supply chain from the perspective of the consumer...
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After a year of adjusting to the shocks associated with COVID-19 the Canadian cattle and beef sector faces a relatively optimistic future. This note examines the past year for this supply chain from the perspective of the consumer up to the cow-calf producer by considering consumer reactions, labor market constraints, and supply responses. In the second quarter of 2020, the sector faced a significant challenge with continent wide shutdowns of beef packers reducing the U.S. beef supply by one-third and Canadian beef slaughter by almost 60%. These shutdowns resulted in a sharp divergence between wholesale beef prices, which more than doubled, and fed steer prices, which declined by one third. Despite these dramatic shocks, the sector has returned to near normal conditions with prices and production levels similar to those observed prior to the pandemic. The near term prospects for 2021 are very similar to the current market situation.
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Background: This paper aims to critically examine the potential barriers to the implementation and adoption of Robotic Process Automation (RPA) in the beef supply chain. The beef supply chain has been challenging due to its comple...
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Background: This paper aims to critically examine the potential barriers to the implementation and adoption of Robotic Process Automation (RPA) in the beef supply chain. The beef supply chain has been challenging due to its complex processes, activities, and management. The beef industry has relied heavily on the human workforce in the past; however, RPA adoption allows automating tasks that are repetitive and strenuous in nature to enhance beef quality, safety and security. There are considerable potential barriers to RPA adoption as organisations have not focused on trying to eliminate them due to various reasons. Previous studies lack knowledge related to potential barriers to RPA adoption, so this creates a research gap and requires attention. Methods: Statistical data and information are extracted using secondary data relevant to RPA adoption in the beef supply chain. A business process model is formed which uses values or variables using existing statistical data and information. Simulation of the process model is carried out using Simul8 software and analyses of different scenarios help in choosing the best approach for RPA adoption. Results: The results have identified the potential barriers in RPA adoption through the simulation process thus ensuring RPA performs with more potential. Analysis of ‘what-if’ scenarios allow organisational and employee-level improvements along with enhancing RPA’s accuracy. Conclusion: The process model is a generic model for use in real-life scenarios and can be modified by organisations according to their own business needs and requirements. The study contributes in theoretical and practical aspects as it allows decision-makers to adopt RPA in a robust manner and adds to scientific knowledge by identification of potential barriers to RPA adoption.
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The European Union (EU) is the world's third largest producer of beef. This contributes to the economy, rural development, social life, culture and gastronomy of Europe. The diversity of breeds, animal types (cows, bulls, steers, ...
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The European Union (EU) is the world's third largest producer of beef. This contributes to the economy, rural development, social life, culture and gastronomy of Europe. The diversity of breeds, animal types (cows, bulls, steers, heifers) and farming systems (intensive, extensive on permanent or temporary pastures, mixed, breeders, feeders, etc) is a strength, and a weakness as the industry is often fragmented and poorly connected. There are also societal concerns regarding animal welfare and environmental issues, despite some positive environmental impacts of farming systems. The EU is amongst the most efficient for beef production as demonstrated by a relative low production of greenhouse gases. Due to regional differences in terms of climate, pasture availability, livestock practices and farms characteristics, productivity and incomes of beef producers vary widely across regions, being among the lowest of the agricultural systems. The beef industry is facing unprecedented challenges related to animal welfare, environmental impact, origin, authenticity, nutritional benefits and eating quality of beef. These may affect the whole industry, especially its farmers. It is therefore essential to bring the beef industry together to spread best practice and better exploit research to maintain and develop an economically viable and sustainable beef industry. Meeting consumers' expectations may be achieved by a better prediction of beef palatability using a modelling approach, such as in Australia. There is a need for accurate information and dissemination on the benefits and issues of beef for human health and for environmental impact. A better objective description of goods and services derived from livestock farming is also required. Putting into practice "agroecology" and organic farming principles are other potential avenues for the future. Different future scenarios can be written depending on the major driving forces, notably meat consumption, climate change, environmental policies and future organization of the supply chain.
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Purpose The purpose of this paper is to examine the factors that influence beef farmers' willingness to participate in supply chain collaboration initiatives and to identify attributes in formal and non-formal agreements that woul...
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Purpose The purpose of this paper is to examine the factors that influence beef farmers' willingness to participate in supply chain collaboration initiatives and to identify attributes in formal and non-formal agreements that would encourage or discourage participation.Design/methodology/approach A face-to-face survey containing a choice experiment was carried out. Respondents were selected using stratified sampling among beef finishers in Northern Ireland. Logistic regressions were employed to examine the factors associated with willingness and agreement attributes.Findings Larger and more specialised farms, as well as farmers with higher education attainment are shown to be more likely to participate in collaboration arrangements with downstream buyers. The choice experiment results suggest that farmers are in general willing to fulfil some feeding requirements in order to earn a premium, while a minimum price guarantee is not attractive. The positive valuation of data sharing between farms and abattoirs is found specifically among farmers with higher qualifications. Although education is shown to have positive impacts on both participation in collaboration agreements and the valuation of contract attributes, the level of education associated with the positive impacts differ. In addition, farmers who have enroled in agri-environmental schemes view the requirement of a written contract more favourably than those who have not.Originality/value The study adds to the understanding of how beef farmers view participation within supply chain collaborations and also how the potential features of the collaboration relate to characteristics of farmers and their farms.
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Microbial contamination associated with beef slaughter and boning has been investigated using traditional culture dependent approaches. However, conventional counting methods have disadvantages of detecting only cultivable bacteri...
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Microbial contamination associated with beef slaughter and boning has been investigated using traditional culture dependent approaches. However, conventional counting methods have disadvantages of detecting only cultivable bacterial groups that may be a small subset of the true microbial population. This study investigated the microbiology in the boning room of an integrated (abattoir A) and a fragmented (abattoir B) Australian beef export abattoirs using culture independent 16S rRNA gene amplicon sequencing coupled with total viable count (TVC). Transmission of microbial populations during processing of carcases onto beef trim was monitored and compared between the two abattoirs. The results showed that the abattoirs produced beef trim with a mean TVC of 2.64-2.70 log(10) CFU/cm(2). Initial counts of microbes on the chilled carcases entering the boning room were < 1.5 log(10) CFU/cm(2) and the environmental surfaces had 收起
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This paper proposes a big-data analytics-based approach that considers social media (Twitter) data for the identification of supply chain management issues in food industries. In particular, the proposed approach includes text ana...
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This paper proposes a big-data analytics-based approach that considers social media (Twitter) data for the identification of supply chain management issues in food industries. In particular, the proposed approach includes text analysis using a support vector machine (SVM) and hierarchical clustering with multiscale bootstrap resampling. The result of this approach included a cluster of words which could inform supply-chain (SC) decision makers about customer feedback and issues in the flow/quality of food products. A case study in the beef supply chain was analysed using the proposed approach, where three weeks of data from Twitter were used. (C) 2017 Elsevier Ltd. All rights reserved.
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Background: The Horsemeat Scandal of 2013 highlighted vulnerabilities within the European beef supply chain. The report resulted in mass product recalls across Europe, a downturn in beef sales, and subsequent economic losses for g...
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Background: The Horsemeat Scandal of 2013 highlighted vulnerabilities within the European beef supply chain. The report resulted in mass product recalls across Europe, a downturn in beef sales, and subsequent economic losses for genuine actors in the supply chain. The aim of this review was to improve understanding of beef supply chain vulnerability via the use of trend analysis, to enable the formulation of strategies that may help in the prevention and detection of fraud in beef products, and facilitate greater protection for consumers and industry in the future.
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This study aim is to provide a feasible and effective way for the government supervision, agricultural enterprises and consumers to obtain traceability information. This study researches traceability of agricultural products. Thro...
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This study aim is to provide a feasible and effective way for the government supervision, agricultural enterprises and consumers to obtain traceability information. This study researches traceability of agricultural products. Through the analysis of the participators, the influence of the agricultural products circulation pattern of supply chain, traceability security system and tracing process, it constructs a pattern of the agricultural products traceability and puts forward a method to realize agricultural products traceability model. The method uses RFID to collect related information of agricultural products and realize the agricultural products traceability process based on the traceability chain construction of the agricultural products and redesigned trace code. Finally, this study analyzes the concrete application of the proposed method in beef traceability to prove the feasibility of our circulation and method.
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The objective of this research was to develop a method to judge the extent of agility in the supply chain management of the Australian beef wholesale and retail sector. Based on the responses to a survey of managers, regression an...
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The objective of this research was to develop a method to judge the extent of agility in the supply chain management of the Australian beef wholesale and retail sector. Based on the responses to a survey of managers, regression analysis was used to develop a model linking management actions to supply chain practices and competitive advantage. The strongest and most consistent relationships observed were from commitment and trust, information quality and strategic supplier partnerships to competitive advantage. Although commitment and trust were seen to support agile supply chain management, information quality and strategic supplier partnerships were more related to developing food quality in an industry where customer relationships are important.Agility of Australian beef supply chains can be improved through, for example, enhanced communication between retailers and their suppliers and better internal teamwork in retail firms. There has been virtually no previous research on the performance of Australian beef supply chains. The paper is an attempt to fill this gap. Also the methods are innovative and could be applied to similar agribusiness supply chains in other countries.
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