System Dynamics Simulation to Test Operational Policies in the Milk-Cheese Supply Chain Case study: Piar Municipality, Bolivar State, Venezuela.

With the purpose of detecting the impact that variations of demand cause in the milk-cheese supply chain, and determining how the operational policies of capacity, inventories or labor force can mitigate this impact, a system dynamics simulation model has been designed based on a survey conducted on a sample of cheese manufacturers and their links with milk farms, transportation companies and cheese distributors. This supply chain will be consolidated when a milk center that will collect the raw milk is completed. From this center, and after adequate treatment, milk will be distributed to the different cheese manufacturers in the supply chain. Managing adequately the milk-cheese supply chain represents an important challenge due to the short life of these products. Although this study was done in a region in Latin America, its results can be applicable to food supply chains by introducing some modifications. The milk-cheese supply chain in this case study contemplates three milk producers, one milk center, five cheese producers and several distributing agents. These companies operate individually under normal conditions, but they have understood that their integration in a supply chain improves the competitiveness of all its members. That is to say, the sum is greater than the parts. For its initial design a simulation software model is used in which the resources of the supply chain are optimized. Later the product of this optimization facilitates some initial values to be used in the system dynamics model in which causeeffect or influence relationships have been previously established considering the most representative variables. Finally, changes in operational policies that can reduce the level of pending orders in the supply chain are tested using other simulation software. The main contribution of this research is that it can serve as support or contribute to reduce the uncertainty in the decision making process of the supply chain management due to the speed with which individual or combined policies can be analyzed. In response to a variation of demand the most adequate policy may be selected and that can be done before the policy is implemented

Food Safety Management in a Global Environment: The Role of Risk Assessment Models

Quantitative risk assessment models are playing a minor role in the development of the new EU legal framework for food safety. There is a tendency of the EU institutions to apply the precautionary principle versus the predisposition of the USA institutions to rely on risk analysis. This paper provides a comparison of the role played by quantitative risk assessment models in the development of new policies on food safety in the EU and in the USA, focusing on a study case: the supply chain of shell eggs. We suggest that EU regulatory bodies should reconsider the role that quantitative risk assessment models have to play in order to design more effective food safety management systems.Food safety policy, food safety assurance, risk analysis, risk assessment, precautionary principle, Food Consumption/Nutrition/Food Safety,

Modeling Ovoproduct Spoilage with Red Led Light

Heat-treatment of ovoproducts is often required to ensure microbial safety. However, it has been shown that in most microbial species slow heating, or heat shocks may induce a higher heat resistance, that means that it is not possible to remove the microbial flora completely. These microorganisms produce on ovoproducts spoilage especially when the cold chain is broken along the transportation and/or storage. As a result, the life span for the product is shortened. The microbial activity inside the product causes changes in several physical properties, which can be supervised using optical methods. The aim of this work is to monitor the sigmoid behaviour underlying the ovoproduct evolution and spoilage by means of red LED light. For two commercial types of liquid and pasteurized egg white, storage at 9°C, an average correlation of r=0.94 has been found between microorganism growth and mean grey level of LED light passing though the sample. The results show that it is possible to develop very simple predictive models taking into account only one optical parameter corre¬sponding to a single LED

Knowledge Management in Food Supply Chains

The object of the present article is to discuss Knowledge Management (KM) in the Agrifood Supply Chain (ASC). In the 21st century, the ASC is under strong tensions. This is evident in the drastic changes in the global scene. For example, in the year 2008, food prices were high and unstable. In the last years, the importance of knowledge as a source of competitive advantage for organizations has increased considerably, so it is necessary its management in the ASC in order to surpass the challenges of the 21st century. KM is a direction tool that focuses in determining, organizing, directing, providing and supervising the practices and activities related with the knowledge (intangible active) required to achieve the strategies and objectives of the business or industry, generating a value for the organization at the moment to reach capabilities and competences. In inter-organizational environments, KM is centered on horizontal alliances between two or more partners. However, there are few authors who have analyzed the vertical alliances between suppliers and customers (the supply chain). The existing KM models are applicable for the ASC, as long as a series of conditions are present in the same one. Among these conditions there is one which prevails: The different enterprises that integrate the ASC must coordinate themselves in order to constitute a dynamic network, in which learning barriers are eliminated, so knowledge can flow freely through them. In conclusion, the development of KM models in the ASC, in the framework of untimely, temporary and structural changes in the globalised world, represents a necessary tool to offer safety and quality food to the world-wide population in the 21st century. In this way, food markets will tend to become stabilized in the long term and adequate answers can be provided to the more vulnerable communities and region

Cycle of Knowledge in the Management of the Supply Chain of Corn for Human Consumption

The objective of this study is to characterize the cycle of knowledge in the supply chain of the industry of corn for human consumption. White corn is cultivated almost exclusively for human consumption and it has a significant value in the food supply in countries whose diet has a high proportion of this variety of corn, such as: Venezuela, México and Colombia in America, and the Republic of South Africa and Sahel countries in Africa. Corn is produced in Venezuela, under rainfed conditions and in a highly mechanized production system. The cycle of knowledge is defined as a progressive spiral in which knowledge is created, stored, transferred, applied and preserved, in order to increase the competitiveness and  sustainability of organizations and companies in the food supply chain. This non experimental and crosssectional research is of a descriptive type. It was conducted in Venezuela during the second semester of 2009 in the supply chain of white corn, specifically, at the level of first tier producers (primary sector). The population is constituted by 1,754 producers of corn in the most important producing regions of the country. The representative sample was selected by the stratified sampling technique with proportional allocation: by association of corn producers and according to the grain yield. A questionnaire was designed and conducted according to the structured survey method. Its validity was verified by discriminant tests of items and its reliability through Bartlett's test, variance factorial analysis, Kaiser/Meyer/Olkin and Cronbach Alpha, achieving the last one a value of 0.9276.The production units have an average area of 67.17 ha, with 1.97 permanent workers and 4.06 temporary workers. They obtained a physical productivity of 4,210.45 kg/ha. The Knowledge Index (KI) achieved a value of 69.78% and the Perception Index of the results (PI) was 76.06%. The Pearson correlation among these indices was positive and significant with a value of 0.51. The factorial analysis for principal components with rotated factors allows obtaining four factors from the five dimensions originally considered. These factors are: (1) knowledge creation, (2) knowledge storage, (3) knowledge transfer and application, and (4) preservation of knowledge.The results allow us to conclude that the cycle of knowledge is managed in four stages in an intuitive and predominantly tacit manner which is the reason why those practices related to explicit knowledge become the agents of differentiation. Moreover, the existence of a positive correlation between the Knowledge Index and the Perception Index of the positive results by the producer was also proven

Gestion del conocimiento en el sector agroalimentario

The objective of the article is to discourse about the management of the knowledge in the food chain. In the 21st century the food chain is being submitted to forts tense that can affect negatively its capacity to give the alimentary products to the whole world population. In this sense, the public opinion is increasingly sensible and the technical and legal procedures that govern the theme are more exigent in function to reach a food supply: sufficient, opportune, continuous and of quality to accessible costs, without prejudice of the health of the consumers and of the maintenance of the environment. This purpose could be reached if the knowledge is managed adequately, because this one has become into a source of competitive advantage for the organizations. The management of the knowledge is a tool of strategic direction of the practices and activities related to the knowledge (intangible actives) required to reach the objectives of the business or industry. Its application in the food industry will improve its levels of competitiveness and sustainability. Key words: food chain, management of the knowledg

Supervisión de la degradación de ovoproducto mediante diodos emisores de luz

La extrema sensibilidad de los ovoproductos al deterioro microbiano hace necesaria la aplicación de un tratamiento térmico que asegure su inocuidad. El hecho de que el tratamiento térmico no asegure la completa erradicación de la flora microbiana junto con la falta de mantenimiento de la cadena de frío a lo largo de la distribución y/o conservación del mismo limita y acorta la vida útil del producto. La degradación microbiana del ovoproducto afecta a ciertas propiedades físicas del mismo cuya alteración puede ser objeto de supervisión mediante técnicas ópticas siendo el objetivo de este trabajo la realización de un estudio preliminar para la supervisión de la degradación de ovoproducto mediante LED con el objeto de hacer una propuesta de implantación en laboratorios de calidad en la industria. Los resultados muestran que en clara líquida pasteurizada el aumento del contenido microbiano a lo largo del tiempo de almacenamiento se correlaciona (con valores de hasta r = 0.97) con el incremento en el nivel de intensidad lumínica detectado en las muestras. En la yema a partir de niveles altos de concentración de microorganismos los fenómenos de turbidez y gelificación se identifican con una disminución en los valores de los parámetros ópticos considerados

Supervision of ovoproducts spoilage with red led light

Heat-treatment of ovoproducts is often required to ensure microbial safety. However, it has been shown that in most microbial species slow heating, or heat shocks may induce a higher heat resistance, that means that it is not possible to remove the microbial flora completely. These microorganisms produce on ovoproducts spoilage especially when the cold chain is broken along the transportation and/or storage. As a result, the life span for the product is shortened. The microbial activity inside the product causes changes in several physical properties, which can be supervised using optical methods. The aim of this work is to monitor the sigmoid behaviour underlying the ovoproduct evolution and spoilage by means of red LED light. For two commercial types of liquid and pasteurized egg white, storage at 9ºC, an average correlation of r=0.94 has been found between microorganism growth and images mean grey level of LED light passing though the sample. The results show that it is possible to develop very simple predictive models taking into account only one optical parameter corresponding to a single LED

Ovoproductos

La extrema sensibilidad de los ovoproductos al deterioro microbiano hace necesaria la aplicacion de un tratamiento termico que asegure su inocuidad. El hecho de que el tratamiento termico no asegure la completa erradicacion de la flora microbiana junto con la falta de mantenimiento de la cadena de fn'o a lo largo de la distribucion y/o conservacion del mismo limita y acorta la vida util del producto. La degradacion microbiana del ovoproducto afecta a ciertas propiedades ffsicas del mismo cuya alteration puede ser objeto de supervision mediante tecnicas opticas siendo el objetivo de este trabajo la realization de un estudio preliminar para la supervision de la degradacion de ovoproducto mediante LED con el objeto de hacer una propuesta de implantation en laboratories de calidad en la industria. Los resultados muestran que en clara liquida pasteurizada el aumento del contenido microbiano a lo largo del tiempo de almacenamiento se correlaciona (con valores de hasta r = 0.97) con el incremento en el nivel de intensidad luminica detectado en las muestras, siendo posible establecer modelos sencillos de prediction de la carga microbiana a traves de este para metro optico y empleando la information correspondiente a un unico LED. - Heat-treatment of ovoproducts is often required to ensure microbial safety. However, it has been shown that in most microbial species slow heating, or heat shocks may induce a higher heat resistance, that means that it is not possible to remove the microbial flora completely. These microorganisms produce ovoproducts spoilage especially when the cold chain is broken along the transport and/or storage. As result, the useful life for the product is shorten. The microbial activity in the product changes several physical properties which can be supervised using optical methods, so the goal of this work is to carry out a prospective study for the supervision of ovoproduct spoilage with scatter red LED light. For liquid and pasteurizated white egg it has been found a correlation (r=0.97) between microorganism growth and grey level of LED light passing thought out the sample

El ciclo del conocimiento en la producción de maíz (Zea mays L.)

El estudio tuvo por objeto caracterizar el ciclo del conocimiento en la producción de maíz (Zea mays L.). Venezuela tiene una importante producción de este rubro que forma parte de su dieta diaria. El conocimiento se crea, se almacena, se transfiere, se aplica y se preserva, en un ciclo que tiene la finalidad de incrementar la competitividad y sustentabilidad de las organizaciones. Se dise- ñó y aplicó una encuesta de 36 ítems a una muestra de 234 productores. El índice de conocimiento fue de 69,78% y el índice de percepción de resultados fue de 76,06%, encontrándose una relación positiva entre ambas variables. Se evidenció la ocurrencia del ciclo del conocimiento en cuatro etapas en las que interactuaron medios explícitos y tácito