To this end, future decision-making models for FSCM will be implemented as follows: Multi-functional models: these models are able to make full use of Big Data from food supply chain. European Commission (2014), “High-tech: a key ingredient for the future of Europe’s food industry”, Horizon 2020, available at: https://ec.europa.eu/programmes/horizon2020/en/news/high-tech-key-ingredient-future-europe%E2%80%99s-food-industry (accessed June 18, 2016). 214, pp. 84 No. 5, pp. Data from these approaches are usually prone to be inaccurate and incomplete. 23, pp. 14-21. Through Cloud-enabled solution, the information sharing and collaborative working principle could be achieved by using basic computing and internet equipment. 81-86. 63, pp. Data-driven model was also proposed by developing a measure of the captured business external and internal data for food productivity, and supply chain value (Brynjolfsson et al., 2011). Zhu, Q.H., Geng, Y., Fujita, T. and Hashimoto, S. (2010), “Green supply chain management in leading manufacturers: case studies in Japanese large companies”, Management Research Review, Vol. For innovative warehousing of food, robotics and automation have been adopted in North America in food and beverage supply chain. and Vorst, J.G.V.D. (2011), “An RFID application in the food supply chain: a case study of convenience stores in Taiwan”, Journal of Food Engineering, Vol. 13-24. However, FSCM in this area is mainly based on sacrificing manpower, for example China used 6.74 billion employees to achieve the total turnover, which is one-third more people than that in the EU. Third, Big Data Analytics for FSCM has received increasing attention since it is able to deal with immense data generated from food supply chain. MacCarthy, B.L., Blome, C., Olhager, J., Srai, J.S. 3, pp. 318-327. Aramyan, L.H., Oude Lansink, A.G., Vorst, J.G.V.D. Hsiao, H., Vorst, J.V.D., Kemp, R. and Omta, S. (2010), “Developing a decision-making framework for levels of logistics outsourcing in food supply chain networks”, International Journal of Physical Distribution & Logistics Management, Vol. 30 No. should be highly integrated in terms of data sharing and seamless synchronization. Using the PI principle, FSCM for food handling, movement, storage, and delivery could be transformed toward global logistics efficiency and sustainability. Food traceability has been widely used in the last few decades with large number applications. 21 No. 78-87. The scale of the global food waste problem is staggering. Information plays an important role in making FSCM more efficient. An incomplete list of the leading authors covering these five aspects is shown in Table I. Supply Chain Management: Entstehung, Definition, Ziele , Ebenen Lebenszyklus einer Supply Chain Konzepte und Methoden des Supply Chain Management – SS 2014 – Dipl.-Ing. 183 No. 26 No. 4, pp. The turnover is increased by 22.32 percent compared with that from the year 2011 (€1,017 billion). Wu, L., Yue, X., Jin, A. and Yen, D.C. (2016), “Smart supply chain management: a review and implications for future research”, The International Journal of Logistics Management, Vol. (2010), “The impact of business analytics on supply chain performance”, Decision Support Systems, Vol. Apart from any fair dealing for the purpose of private study or research, no First, the concentration of design and development of a food supply chain network structure is placed upon a sole distribution system or a WMS. and Vorst, V.D.J.G. and Ellram, L.M. Soysal, M., Bloemhof-Ruwaard, J. and Vorst, J.V.D. 577-590. 153-167. Genauso vielseitig sind Ihre Aufgabengebiete: Wir versprechen jede Menge Abwechslung und tolle Perspektiven. As a result, food products from this country could be monitored from sources to consumption phase, which makes real total lifecycle management for each food. Tzamalis, P., Panagiotakos, D. and Drosinos, E. (2016), “A ‘best practice score’for the assessment of food quality and safety management systems in fresh-cut produce sector”, Food Control, Vol. Thus, Regattieri et al. To offer customers exciting new flavors, products, and ingredients, many businesses have expanded their geographic reach of sourcing ingredients and materials. Logistics and delivery networks . Global Strategy (2013), “United States of America food and beverage market study”, Global Strategy, Inc. International Business Development, Oviedo, FL, pp. Recently, Big Data is emerging as a crucial IT for instructing decisions in food supply chain. 481-486. Validi, S., Bhattacharya, A. and Byrne, P. (2014), “A case analysis of a sustainable food supply chain distribution system – a multi-objective approach”, International Journal of Production Economics, Vol. 175, pp. 25 No. 93 No. A systematical and hierarchical framework is proposed in this paper to review the literature. 107 No. Food safety management systems usually use traceability and status data to examine food quality and freshness. This model enables effective and efficient decision support on food supply chain design. Second, systems used in earlier stage are based on internet solutions. Adaptive smart robot: these data collectors are specially designed by twining robotics and smart sensors so that they are able to fulfill some operations and capture data in parallel.