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    Conceptual Framework for Managing Uncertainty in a Collaborative Agri-Food Supply Chain Context

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    [EN] Agri-food supply chains are subjected to many sources of uncertainty. If these uncertainties are not managed properly, they can have a negative impact on the agri-food supply chain (AFSC) performance, its customers, and the environment. In this sense, collaboration is proposed as a possible solution to reduce it. For that, a conceptual framework (CF) for managing uncertainty in a collaborative context is proposed. In this context, this paper seeks to answer the following research questions: What are the existing uncertainty sources in the AFSCs? Can collaboration be used to reduce the uncertainty of AFSCs? Which elements can integrate a CF for managing uncertainty in a collaborative AFSC? The CF proposal is applied to the weather source of uncertainty in order to show its applicability.The first author acknowledges the partial support of the Program of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595). The other authors acknowledge the partial support of the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding scheme H2020-MSCA-RISE-2015.Esteso-Álvarez, A.; Alemany DĂ­az, MDM.; Ortiz Bas, Á. (2017). Conceptual Framework for Managing Uncertainty in a Collaborative Agri-Food Supply Chain Context. IFIP Advances in Information and Communication Technology. 506:715-724. https://doi.org/10.1007/978-3-319-65151-4_64S715724506Taylor, D.H., Fearne, A.: Towards a framework for improvement in the management of demand in agri-food supply chains. Supply Chain Manag. Int. J. 11, 379–384 (2006)Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Manag. Int. J. 12, 177–186 (2007)Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196, 1–20 (2009)Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Agrifood supply chain management: a comprehensive hierarchical decision-making framework and a critical taxonomy. Biosyst. Eng. 120, 47–64 (2014)van der Vorst, J.G., Da Silva, C.A., Trienekens, J.H.: Agro-industrial supply chain management: Concepts and applications. FAO (2007)Borodin, V., Bourtembourg, J., Hnaien, F., Kabadie, N.: Handling uncertainty in agricultural supply chain management: a state of the art. Eur. J. Oper. Res. 254, 348–359 (2016)van der Vorst, J.G.A.J., Beulens, A.J.M.: Identifying sources of uncertainty to generate supply chain redesign strategies. Int. J. Phys. Distrib. Logist. Manag. 32, 409–430 (2000)Klosa, E.: A concept of models for supply chain speculative risk analysis and management. J. Econ. Manag. 12, 45–59 (2013)Samson, S., Reneke, J.A., Wiecek, M.M.: A review of different perspectices on uncertainty and risk and an alternative modeling paradigm. Reliab. Eng. Syst. Saf. 94, 558–567 (2009)Backus, G.B.C., Eidman, V.R., Dijkhuizen, A.A.: Farm decision making under risk and uncertainty. Neth. J. Agric. Sci. 45, 307–328 (1997)van der Vorst, J.G.: Effective food supply chains; Generating, modelling and evaluating supply chain scenarios. (2000)Amorim, P., GĂŒnther, H.O., Almada-Lobo, B.: Multi-objective integrated production and distribution planning of perishable products. Int. J. Prod. Econ. 138, 89–101 (2012)Amorim, P., Meyr, H., Almeder, C., Almada-Lobo, B.: Managing perishability in production-distribution planning: a discussion and review. Flex. Serv. Manuf. 25, 389–413 (2013)Costa, C., Antonucci, F., Pallottino, F., Aguzzi, J., Sarria, D., Menesatti, P.: A review on agri-food supply chain traceability by means of RFID technology. 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    A conceptual framework for crop-based agri-food supply chain characterization under uncertainty

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    [EN] Crop-based Agri-food Supply Chains (AFSCs) are complex systems that face multiple sources of uncertainty that can cause a significant imbalance between supply and demand in terms of product varieties, quantities, qualities, customer requirements, times and prices, all of which greatly complicate their management. Poor management of these sources of uncertainty in these AFSCs can have negative impact on quality, safety, and sustainability by reducing the logistic efficiency and increasing the waste. Therefore, it becomes crucial to develop models in order to deal with the key sources of uncertainty. For this purpose, it is necessary to precisely understand and define the problem under study. Even, the characterisation process of this domains is also a difficult and time-consuming task, especially when the right directions and standards are not in place. In this chapter, a Conceptual Framework is proposed that systematically collects those aspects that are relevant for an adequate crop-based AFSC management under uncertainty.Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS "Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems" (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015Alemany DĂ­az, MDM.; Esteso, A.; Ortiz Bas, Á.; HernĂĄndez Hormazabal, JE.; FernĂĄndez, A.; Garrido, A.; Martin, J.... (2021). A conceptual framework for crop-based agri-food supply chain characterization under uncertainty. Studies in Systems, Decision and Control. 280:19-33. https://doi.org/10.1007/978-3-030-51047-3_2S1933280Taylor, D.H., Fearne, A.: Towards a framework for improvement in the management of demand in agri-food supply chains. Supply Chain Manage. 11, 379–384 (2006)Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Manage. 12, 177–186 (2007)Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196, 1–20 (2009)Iakovou, E., Vlachos, D., Achillas, C., Anastasiadis, F.: A methodological framework for the design of green supply chains for the agrifood sector. Paper presented at the 2nd international conference on supply chains, Katerini, 5–7 Oct 2012Manzini, R., Accorsi, R.: The new conceptual framework for food supply chain assessment. J. Food Eng. 115, 251–263 (2013)Shukla, M., Jharkharia, S.: Agri-fresh produce supply chain management: a state-of-the-art literature review. Int. J. Oper. Prod. 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    A Collaborative Model to Improve Farmers' Skill Level by Investments in an Uncertain Context

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    [EN] Some small farms are forced to waste a part of their harvests for not reaching the quality standards fixed by consumers. Meanwhile, modern retailers (MR) are interested in selling more quality products to increase their profits. MR could invest in a collaboration program so the small farmers could have access to better technologies and formation to increase the proportion of quality products. Unfortunately, the demand, the quantity of harvest, the proportion of harvest being of quality, and its increase with each investment are uncertain parameters. A fuzzy model considering these uncertainties is proposed to determine the investments that MR should made to maximize the profits of the supply chain in a collaboration context. A method to transform the fuzzy model into an equivalent crisp model and an interactive resolution method are applied.The first author acknowledges the partial support of the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595). The other authors acknowledge the partial support of Project 691249, "RUCAPS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems", funded by the EU under its funding scheme H2020-MCSA-RISE-2015.Esteso, A.; Alemany DĂ­az, MDM.; Ortiz Bas, Á.; Guyon, C. (2018). A Collaborative Model to Improve Farmers' Skill Level by Investments in an Uncertain Context. IFIP Advances in Information and Communication Technology. 534:590-598. https://doi.org/10.1007/978-3-319-99127-6_51S590598534Zhao, G., Liu, S., Lopez, C.: A literature review on risk sources and resilience factors in agri-food supply chains. In: Camarinha-Matos, Luis M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IFIP AICT, vol. 506, pp. 739–752. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_66Esteso, A., Alemany, M.M.E., Ortiz, A.: Improving vegetables quality in small-scale farms through stakeholders collaboration. In: 12th International Conference on Industrial Engineering and Industrial Management (in Press)Sutopo, W., Hisjam, M., Yuniaristanto: An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: Yang, G.C., Ao, S.I., Huang, X., Castillo, O. (eds.) IAENG Transactions on Engineering Technologies. LNEE, vol 186, pp. 189–202. Springer, Dordrecht (2013). https://doi.org/10.1007/978-94-007-5651-9_14Sutopo, W., Hisjam, M., Yuniaristanto, Kurniawan, B.: A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. In: Proceedings of the World Congress on Engineering 2013, pp. 732–736 (2013)Sutopo, W., Hisjam, M., Yuniaristanto: An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int. Sch. Sci. Res. Innov. 5(11), 1588–1592 (2011)Sutopo, W., Hisjam, M., Yuniaristanto: An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara J. Technol. 16(1), 43–50 (2012)Sutopo, W., Hisjam, M., Yuniaristanto: Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress on Engineering and Computer Science, pp. 1180–1184 (2013)Wahyudin, R.S., Hisjam, M., Yuniaristanto, Kurniawan, B.: An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, pp. 877–882 (2015)JimĂ©nez, M., Arenas, M., Bilbao, A., RodrĂ­guez, M.V.: Linear programming with fuzzy parameters: an interactive method resolution. Eur. J. Oper. Res. 177, 1599–1609 (2007)Peidro, D., Mula, J., JimĂ©nez, M., Botella, M.M.: A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. Eur. J. Oper. Res. 205, 65–80 (2010)Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. In: Camarinha-Matos, Luis M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IFIP AICT, vol. 506, pp. 715–724. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_6

    Response of Fresh Food Suppliers to Sustainable Supply Chain Management of Large European Retailers

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    This article analyses new supply chain management (SCM) strategies of the largest retail distribution chains in Europe within the context of differing sustainability concepts and approaches. An analysis is carried out of the strategic plans of such retailers, as well as recent developments in the sector. We begin by identifying the priority actions of retailers and then evaluating, by means of a survey, how small horticultural marketing firms (mainly cooperatives) in southeast Spain respond to the needs of these retailers. Subsequently, an analysis is carried out on these small marketing firm exporters to identify the relative weight which they assign to the variables assessed, while also considering the existing relationships between said weighted variables and business profits. Our results show that retailers tend to establish more simplified supply chains (that is, shorter and more vertical), essentially demonstrating their interpretation of a sustainable supply chain. In contrast, horticultural marketing firms have concentrated more on tactical and operational issues, thereby neglecting environmental, social and logistics management. Thus, their success rate in meeting the sustainability demands of their customers can be considered medium-low, requiring a more proactive attitude. Improved and collaborative relations, and the integration of sustainability concepts between suppliers (marketing firms) and their clients could contribute to successfully meeting sustainability demands. From the point of view of the consumer, close supplier–retail relationships have solved food safety issues, but the implementation of sustainability in other supply chain activities and processes is a pending issue. We propose strategic approximation and collaboration to bridge the gap between the varying sustainability demands in the supplier–retail relationship within perishable supply chains. Although this article specifically addresses fresh vegetable supply chains, the results may be extrapolated to other agri-food chains with a similar structure

    Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration

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    [EN] Small farms are responsible for 80% of theworld¿s agricultural production although they have difficulties to meet the market quality requirements. Corporate social responsibility (CSR) programs where modern retailers invest in empowering small farmers have been implemented obtaining an increase of the supply chain (SC) profits in cases where supply and demand are balanced. In this paper, a MILP model based onWahyudin et al. (In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp. 877¿882, [1]) to select the investments to carry out by modern retailers, and the product flow through the SC in situations of supply and demand imbalance is proposed. Its objective is to find out if collaboration programs have a positive impact on SC profits when supply and demand are not balanced. This model allows for the rejection of demand and product wastes. Results show that collaboration programs positively impact on the SC profits and consumer satisfaction level when there is an imbalance between demand and supply.The first author acknowledges the partial support of the Programme of Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport (FPU15/03595), and the partial support of Project Development of an integrated maturity model for agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector. Ref. GV/2017/025, funded by the Generalitat Valenciana. The other authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding scheme H2020-MCSA-RISE-2015.Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2020). Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration. Lecture Notes in Management and Industrial Engineering. 95-103. https://doi.org/10.1007/978-3-030-44530-0_12S95103Wahyudin RS, Hisjam M, Yuniaristanto, Kurniawan B (2015) An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp 877–882Lowder SK, Skoet J, Raney T (2016) The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Dev 87:16–29Sutopo W, Hisjam M, Yuniaristanto (2011) An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int Sch Sci Res Innov 5(11):1588–1592Sutopo W, Hisjam M, Yuniaristanto (2012) An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara J Technol 16(1):43–50Sutopo W et al (2013a) A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. Proc World Congr Eng 2013:732–736Sutopo W, Hisjam M, Yuniaristanto (2013b) An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: IAENG transactions on engineering technologies: special issue of the international multiconference of engineers and computer scientists 2012. Springer Netherlands, Dordrecht, 189–202Grillo H, Alemany MME, Ortiz A, Fuertes-Miquel VS (2017) Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products. Appl Math Model 49:255–278Sutopo W, Hisjam M, Yuniaristanto (2013c) Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress on Engineering and Computer Science, pp 1180–1184Esteso A, Alemany MME, Ortiz A (2017) Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. Working conference on virtual enterprises. Springer, Cham, pp 715–72

    Food supply chain network robustness : a literature review and research agenda

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    Today’s business environment is characterized by challenges of strong global competition where companies tend to achieve leanness and maximum responsiveness. However, lean supply chain networks (SCNs) become more vulnerable to all kind of disruptions. Food SCNs have to become robust, i.e. they should be able to continue to function in the event of disruption as well as in normal business environment. Current literature provides no explicit clarification related to robustness issue in food SCN context. This paper explores the meaning of SCN robustness and highlights further research direction

    Sustainability experiments in the agri-food system : uncovering the factors of new governance and collaboration success

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    In recent years, research, society and industry recognize the need to transform the agri-food system towards sustainability. Within this process, sustainability experiments play a crucial role in transforming the structure, culture and practices. In literature, much attention is given to new business models, even if the transformation of conventional firms toward sustainability may offer opportunities to accelerate the transformation. Further acceleration could be achieved through collaboration of multiple actors across the agri-food system, but this calls for a systems approach. Therefore, we developed and applied a new sustainability experiment systems approach (SESA) consisting of an analytical framework that allows a reflective evaluation and cross-case analysis of multi-actor governance networks based on business and learning evaluation criteria. We performed a cross-case analysis of four agri-food sustainability experiments in Flanders to test and validate SESA. Hereby, the key factors of the success of collaboration and its performance were identified at the beginning of a sustainability experiment. Some of the key factors identified were risk sharing and the drivers to participate. We are convinced that these results may be used as an analytical tool for researchers, a tool to support and design new initiatives for policymakers, and a reflective tool for participating actors

    Reducing the impact of demand fluctuations through supply chain collaboration in the Finnish retail grocery sector

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    Paper delivered at the 21st Logistics Research Network annual conference 2016, 7th-9th September 2016, Hull. Abstract Purpose: The purpose of the paper is to explore how a collaborative approach to supply chain management can be used to enhance supply chain performance when demand is fluctuating and uncertain. Enablers and barriers of collaboration will be assessed to provide insights into optimal methods of collaborating between supply chain partners. Research Approach: The study is a qualitative two-echelon case study of a grocery retail supply chain, focussing on a retail grocery wholesaler in Finland and its tier 1 small retail customers. An a priori conceptual framework for collaboration implementation that also details its impact on supply chain performance during periods of fluctuating and uncertain demand is developed through insights from the literature. The validity of the framework is explored through interviews conducted with key respondents at both echelon levels, which were analysed to evaluate and refine this framework. Findings and Originality: The paper demonstrates that collaboration can be a useful and successful technique to reduce costs and improve performance across the supply chain, particularly when demand is volatile and uncertain. This paper also provides insight into one alternative for implementing supply chain integration across several echelons and improving performance in the whole supply chain as a result. Research Impact: The paper provides a list of enablers and barriers for supply chain collaboration, discusses the importance of several key factors, and offers suggestions and guidelines for further research to generalise the findings. Practical Impact: The paper provides insight into the challenges and benefits of increased collaboration for grocery retail supply chain actors. It will be especially useful for those firms in the retail sector and other industries where demand is characterized by demand uncertainty and volatility

    Enhancing the integration of agri-food supply chains: theoretical issues and practical challenges in the UK malting barley supply chain

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    The purpose of this paper is to explore the issues that may affect the integration (i.e., the relationships) between the different actors that comprise a supply chain. Whist the theoretical part of the paper can be referred to any supply chain, the empirical part is focused on the UK barley to beer supply chain. The main motivation behind the topic is that improvements in the relationships amongst the different segments of a chain can enhance its efficiency and effectiveness, (e.g., through improvements in coordination and cooperation), and therefore, its competitiveness and long term sustainability. The paper is based on two complementary analyses: the first one consisted of a structural equation model (SEM) to determine those factors that affect the sustainability of relationships in the chain. The model is estimated based on a survey of 69 chain stakeholders. The second analysis comprised an in-depth case study based on an important malting-barley- to-beer supply chain in Eastern England, and had the purpose of providing further understanding of those aspects that were highlighted by the SEM. The overall results pointed out to five factors affecting the relationships in the malting barley to beer agri-food supply chain: communication, compatibility of aims in the supply chain, contractual relationships backed by professional regard and personal bonds; high levels of trust exist between the chain participants and a willingness to resolve any problems; and commercial benefit.supply chain management, malting barley supply chain, supply chain coordination, competitiveness, Agribusiness,

    Australian Lamb Supply Chain: A Conceptual Framework

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    In the last decade, supply chain management has played an important role to lead agribusiness today to succeed in their business goals, to gain competitive advantages, and to improve business performance. As the result of that, there has been extensive studying in a popular topic of strategic supply chain management in order to improve business performance as well as along supply chain performance under the real situation. This is because in current business world, supply chain practices are crucial to influence many agribusinesses to continuously adapt proper supply chain management in their nature of business. This paper will propose a conceptual framework of supply chain practices and supply chain performance indicators of the Australian Lamb Industry.Lamb Supply Chain, Supply Chain Management, Livestock Production/Industries,
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