“…While, food security can be defined as a situation that exists when all people at all times have physical, social and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active healthy life (FAO 2014). An ASC that is not sustainable in the long run it cannot achieve food security (Krejci and Beamon 2014).…”
Section: The Agrifood Sector and Sustainability Challengesmentioning
The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unmanned aerial devices contribute and improve the productivity of farming areas with limited capacity. The proposed design is developed through a scenario of drone swarms applying AI techniques to address food security issues. The study concludes by presenting a research agenda and the sectoral challenges triggered by the applications of AI in Agriculture.
“…While, food security can be defined as a situation that exists when all people at all times have physical, social and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active healthy life (FAO 2014). An ASC that is not sustainable in the long run it cannot achieve food security (Krejci and Beamon 2014).…”
Section: The Agrifood Sector and Sustainability Challengesmentioning
The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unmanned aerial devices contribute and improve the productivity of farming areas with limited capacity. The proposed design is developed through a scenario of drone swarms applying AI techniques to address food security issues. The study concludes by presenting a research agenda and the sectoral challenges triggered by the applications of AI in Agriculture.
“…Cost minimization and food quality are more common objectives in for-profit supply chains, while some typical objectives for nonprofit food supply chains are determining optimal food collection and distribution locations (Davis et al, 2014) and the equitable and effective distribution of food. Krejci and Beamon (2010) develop supply chain designs to address the problem of maintaining food security worldwide. The authors identify critical characteristics of environmentally sustainable food systems and use these to develop supply chain structures that are environmentally sustainable and provide food security for low, medium, and high customer demand.…”
Mathematical models are presented and analyzed to facilitate a food bank's equitable and effective distribution of donated food among the population at risk for hunger. Typically exceeding the donated supply, demand is proportional to the poverty population within the food bank's service area. The food bank seeks to ensure a perfectly equitable distribution of food, i.e., each county in the service area should receive a food allocation that is exactly proportional to the county's demand such that no county is at a disadvantage compared to any other county. This objective often conflicts with the goal of maximizing effectiveness by minimizing the amount of undistributed food. Deterministic network-flow models are developed to minimize the amount of undistributed food while maintaining a user-specified upper bound on the absolute deviation of each county from a perfectly equitable distribution. An extension of this model identifies optimal policies for the allocation of additional receiving capacity to counties in the service area. A numerical study using data from a large North Carolina food bank illustrates the uses of the models.A probabilistic sensitivity analysis reveals the effect on the models' optimal solutions arising from uncertainty in the receiving capacities of the counties in the service area.
“…In the second and very close count is the issue of sustainability which has 16 papers published in OSCM Journal. This includes such issues as remanufacturing (Gan et al, 2014), green procurement (Lacroix et al, 2011), reverse logistics (Lashkari and Zhang, 2008), environmentally conscious supply chain design (Krejci and Beamon, 2010), construction supply chain (Tundys and Rzeczycki, 2015) to name a few. In addition there are more than 10 papers that present various issues within inventory management and a sizeable number of papers on the issue of supplier selection.…”
This is an editorial paper. The objective of this paper is to provide a brief review of the papers published in Operations and Supply Chain Management: An International Journal (will be called OSCM Journal hereafter) since it is first published in 2008. As you can see in the data presented below, we have been able to attract papers from many countries indicating the truly international nature of the OSCM Journal. Our aim is to make OSCM Journal as one of the alternative outlet for publishing articles in the area of operations and supply chain management.
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