Mehdi Sharifyazdi

Acta Horticulturae p. 1-10 Doi: https://doi.org/10.17660/actahortic.2025.1441.1

Vertical farming, a relatively recent development in agriculture, introduces innovative methods for stable and localized food production within controlled, constrained settings, thereby distinguishing it from traditional farming methods. On one hand, this strategy holds substantial promise for enhancing sustainability and efficiency through the conservation of water, optimization of land use, localized production and distribution of food, increased output in limited spaces, and sustainable production practices. On the other hand, operations management, which is essential for efficiency in organizations and supply chains, includes methodologies that enhance performance at strategic, tactical, and operational levels. Central to this domain are decision-support mathematical models aimed at optimizing supply chain processes including supply, production, control, storage, distribution, and more. These models focus on goals like maximizing profitability, reducing production time, lowering carbon emissions, minimizing transportation, improving product quality, reducing waste, increasing resource efficiency, and aligning supply with demand, among others. However, due to the relative novelty of vertical farming and its unique characteristics in supply and value chain, there is a notable lack of research on adapting current operations management models and creating new ones for this context. Given the unique aspects of vertical farming processes, this study explores and suggests potential pathways for developing specialized operations management models that cater to the specific requirements and constraints of vertical farming systems to boost operational efficiencies and support sustainable growth in this sector. This includes creating frameworks that integrate the distinct needs of vertical farming, ensuring that these models optimize resource use and production in alignment with sustainable farming practices. This study, through a literature review, aims to bridge the gap between traditional operations management techniques and the distinct challenges of vertical farming, laying the foundation for future advances in agricultural management.

Majallah-i muhandisī-i biyusīstim-i Īrān 53(4) p. 357-378 Doi: https://doi.org/10.22059/IJBSE.2023.346979.665495

International Journal of Production Research 56(18) p. 6164-6182 Doi: https://doi.org/10.1080/00207543.2018.1477260

Traditionally, international humanitarian organisations have used on-demand dispatch of disaster relief goods from regional logistics units (RLUs) for sudden onset disaster response. This paper investigates the improvements in efficiency and resilience of disaster relief operations by combining the existing method of onshore prepositioning of relief items in RLUs with offshore prepositioning of relief items on-board vessels and at seaport terminals. The problem is formulated as a linear programming model that incorporates different logistical costs, including inventory cost, replenishment cost, and transportation cost, to find the best combination of disaster relief methods. At the tactical level, the model determines how much and where disaster relief items need to be prepositioned. At the operational level, the model addresses how much and by which mode of transport the disaster relief items need to be transported to disaster points. The model is tested on 16 major disasters in Southeast Asia. The main finding is that offshore prepositioning can contribute to cost reduction and resilience without compromising on the speed or the scale of the response. The results also suggest that the benefits depend on the duration of the disaster emergency period and the ratio of offshore storage cost to onshore storage cost.

NOFOMA 2015 : Post Conference Proceedings, Molde, 3-5 June 2015, Nordic Logistics Research Network p. 298-313

Reverse logistics systems are characterized with inherent uncertainties from supply and demand. Therefore, tools and planning methods must be developed to cope with these uncertainties and at the same time reduce cost and increase service and predictability. This paper develop a dynamic method for vehicle routing in waste collection. In particular, we evaluate the effect of availability of fill-rate data provided by sensors in waste containers. Keywords: Reverse logistics, Uncertainty, Vehicle Routing, Dynamic routing, Waste containers.

Production & Manufacturing Research 1(1) p. 65-78 Doi: https://doi.org/10.1080/21693277.2013.858377