Objective to substantiate the list of indicators of a region sustainable development taking into account the impact of territorial innovation clusters on regional socioeconomic processes.
Methods general scientific methods of cognition were used in the process of research the formation of the territorial innovation cluster model as a mechanism of the region sustainable development is based on the grouping of factors of the external and internal environment of the cluster using the methods of analogy and comparison a list of indicators of the region sustainable development was formed taking into account the generalized factors of territorial clustersrsquo development.
Results improving the competitiveness of Russian regions is one of the most important areas of state economic policy undeer modern conditions. Based on the analysis of scientific literature and state strategic documents the article reveals the main approaches to the definition of sustainable development of territories. The target parameters ofnbsp the region sustainable development stipulated by the federal and regional normative legal acts are revealed. The indicators of sustainable development of territories are studied and systematized as well as tools and mechanisms to ensure them. It is found that within the scientific and practical environment a significant place should be given to research methodologically or empirically determining the quality of the relationship between the sustainable development of the region and the activities of territorial
innovation clusters. On the basis of the authorrsquos model of activity of the territorial innovation cluster the subjects and directions of their interaction within the cluster are defined. The factors of the external and internal environment of the territorial innovation cluster determining the successful development of the cluster are determined. A list of indicators of regional sustainable development is formed corresponding to the factors of the territorial innovation cluster development.
Scientific novelty based on the proposed approach the role of territorial innovation clusters is shown as an element of the sustainable regional development mechanism through the vectors of influence of the cluster external and internal environment on the indicators of the region sustainable development.
Practical significance the obtained results can be used as recommendations for regional authoritiesrsquo forming the target indicators and expected results of cluster policy to ensure sustainable development
Introduction- Currently, decision making is one of the most important processes in crop planning and the uncertainties experienced by fields in open field conditions. This is necessary to develop planning models that incorporate these uncertainties as presented in the next investigation.
Objective- To apply a tactical model for the optimization of the supply chain in the production of passion fruit for three producers in the municipality of Suaza, Huila considering three probable scenarios to support the planning decisions, to serve as a tool to support the making of decisions in crop planning.
Methodology- The chosen modeling is a stochastic bi-stage program where the decisions in the first stage are taken to satisfy the uncertain results of the second stage. The proposed model determines how many hectares each producer must plant to minimize costs considering yield, leaving the price as the source of uncertainty for the second stage. Finally, the expected utility is analyzed under different scenarios.
Results- The results of the model show that risk-sharing strategies based on cooperation between producers can achieve higher profits in different scenarios and meet market needs; in the pessimistic scenario a profit of 15,982,562.62canbeachieved.Conclusions−Applyingmodelsunderuncertaintyallowustoobtainrecommendationsonplanningprocessestomakedecisionsthatconformtoastochasticapproachcomparedtotheresultsobtainedwithoutconsideringuncertainty,andinturnproposecollaborativefarmmanagementstrategies.Theresultingmodelshowsastartingpointtoestablishmorerobustproductionplansthatadjusttotheneedsofproducers,consideringtheimportanceofvariablesandrandomparametersonplantingdecisions.Introduccioˊn−Actualmentelatomadedecisionesesunodelosprocesosmaˊsimportantesdentrodelaplanificacioˊndecultivosdadaslasincertidumbresexperimentadasporlosagricultoresencondicionesdecampoabierto,estohacenecesarioeldesarrollodemodelosdeplaneacioˊnqueincorporenestasincertidumbrescomosepresentaenlasiguienteinvestigacioˊn.Objetivo−AplicarunmodelotaˊcticoparalaoptimizacioˊndelacadenadesuministroenlaproduccioˊndemaracuyaˊparatresproductoresenelmunicipiodeSuaza,Huilaconsiderandotresescenariosprobablesparasustentarlasdecisionesdeplanificacioˊn,quesirvacomoherramientadeapoyoalatomadedecisionesenlaplanificacioˊndelcultivo.Metodologıˊa−Elmodeladoelegidoesunprogramaestocaˊsticobi−etapadondelasdecisionesenlaprimeraetapasetomanparasatisfacerlosresultadosinciertosdelasegundaetapa.Elmodelopropuesto,determinaqueˊcantidaddehectaˊreasdebesembrarcadaproductorparaminimizarloscostosconsiderandoelrendimiento,dejandoelpreciocomolafuentedeincertidumbreparalasegundaetapa.Finalmente,seanalizalautilidadesperadabajodiferentesescenarios.Resultados−Losresultadosdelmodelomuestranquelasestrategiasderiesgocompartidoapartirdelacooperacioˊnentreproductorespuedenlograrmayoresutilidadesenlosdiferentesescenariosycumplirconlasnecesidadesdelmercado;enelescenariopesimistasepuedelograrunautilidadde15.982.562,62.
Conclusiones- Aplicar modelos bajo incertidumbre permite obtener recomendaciones sobre procesos de planificación para tomar decisiones que se ajustan a un enfoque estocástico en comparación con los resultados obtenidos sin considerar la incertidumbre, y a su vez plantear estrategias colaborativas de gestión de finca. El modelo resultante muestra un punto de partida para establecer planes de producción más robustos que se ajusten a las necesidades de los productores, considerando la importancia de variables y parámetros aleatorios sobre las decisiones de plantación