Hybrid machine learning-metaheuristic model for sustainable agri-food production and supply chain planning under water scarcity

Resources Environment and Sustainability, Journal Year: 2023, Volume and Issue: 14, P. 100133 - 100133

Published: Aug. 4, 2023

Agriculture is of great importance in all societies, serving as the fundamental basis for producing food and ensuring survival human populations. The process agricultural production associated logistical elements face numerous difficulties, which are further intensified by worldwide water scarcity resulting from climate change. Nevertheless, existing body literature has not sufficiently addressed consequences on agri-food supply chains. To bridge this research gap contribute to mitigating global crisis induced change, study proposes a hybrid model that combines optimized neural networks based meta-heuristic algorithms mathematical optimization sustainable chain. proposed integrates particle swarm (PSO) feature selection convolutional network (CNN)-gated recurrent unit (GRU) with genetic algorithm (GA) structure predict consumption. Leveraging model's results, multi-objective agriculture chain developed optimize profitability while simultaneously addressing environmental pollutants, waste, usage, manufacturing costs time. evaluate effectiveness approach, real case Iran employed, providing both theoretical practical insights into design incorporates sustainability factors effectively tackles growing challenge scarcity. findings hold implications managers policymakers countries where growing. By integrating advanced techniques predictive models, offers novel framework enhancing chains pressing issues

Language: Английский

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An integrated multitiered supply chain network model of competing agricultural firms and processing firms: The case of fresh produce and quality

European Journal of Operational Research, Journal Year: 2022, Volume and Issue: 307(1), P. 364 - 381

Published: Aug. 6, 2022

Language: Английский

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A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(10), P. 3415 - 3434

Published: July 20, 2023

The COVID-19 pandemic exposed the vulnerabilities of global supply chains (SCs) and highlighted need for more resilient viable SCs. Panic-buying, in particular, has been a major challenge SCs as it can create sudden surges demand that are difficult to anticipate manage. However, literature lacks SC models strategies address panic-buying related challenges. As such, this research aims identify model recovery increase SC's agility, resilience, survivability reduce panic-buying's impact during large-scale disruption critical This study contributes by developing an integrated agent-based modeling (ABM) optimisation method simulate behaviour under different scenarios evaluating effectiveness four proposed three plans. findings reveal increasing production at decentralised manufacturing facilities be achieved order frequency multiple suppliers partnering with third-party transporters, which mitigate effects panic-buying. results higher output availability essential goods market, significantly managing Lastly, recommends practical solutions businesses enhance their SCs' responsiveness from

Language: Английский

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Sociodemographic and individual predictors of residential solar water heater adoption behaviour

Energy Research & Social Science, Journal Year: 2023, Volume and Issue: 101, P. 103155 - 103155

Published: June 3, 2023

Language: Английский

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Optimization of food-energy-water-waste nexus in a sustainable food supply chain under the COVID-19 pandemic: a case study in Iran

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(3), P. 7163 - 7197

Published: Feb. 23, 2023

Language: Английский

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Collaborative Organization Models for Sustainable Development in the Agri-Food Sector

Sustainability, Journal Year: 2021, Volume and Issue: 13(4), P. 2301 - 2301

Published: Feb. 20, 2021

It is widely recognized that the adoption of collaborative organization models in agri-food sector can help farmers rural areas to reach sustainable development goals. In any case, a holistic and coherent view sustainability, organizational supporting technologies still not present scientific literature. With this paper, we aim fill gap propose framework useful scholars practitioners analyzing designing Collaborative Networks

Language: Английский

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Data-driven on sustainable food supply chain: a comparison on Halal and non-Halal food system

Journal of Industrial and Production Engineering, Journal Year: 2022, Volume and Issue: 39(6), P. 430 - 457

Published: March 15, 2022

This study contributes a data-driven of sustainable food supply chain with the comparison between Halal and non-Halal food, suggestion for future studies practical fulfillments. Although is urged to become sustainable, there lack systematic describing most appropriate indicators advance both chain. With an aim analyzing up-to-date chain, combination content analysis, fuzzy Delphi method, decision-making trial evaluation laboratory presented. The results show that significant are consumption, safety, security, resilience, waste management. crucial consist certification, trust, Islamic values, safety. A contemporary presented trends, challenges, opportunities determined.

Language: Английский

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Finding the ecological farmer: A farmer typology to understand ecological practice adoption within Europe

Current Research in Environmental Sustainability, Journal Year: 2022, Volume and Issue: 4, P. 100125 - 100125

Published: Jan. 1, 2022

Agricultural policies are now orientated towards sustainable food production which integrate climate and biodiversity targets. Increasing the uptake of ecological approaches is intrinsic to success these policies. but this contingent on farmer acceptability practices. We employ a cross-European survey explore perspectives producers derive typology based their self-identities.Using one stage latent class model we find four types examine common factors may correlate membership particular group. two positive mainly differentiated by responses social pressure acceptance practices within supply chains. A further group reveals multifunctional identity, balances with productivity goals, whereas final show indifference align previous work identifying productivist farming identities. As Governments seeking promote transition industry argue for clear policy intent inmessaging, as well support chain dialogue target groups farmers real behavioural change.

Language: Английский

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Characteristics of decision process towards circular food economy: A review

Cleaner Logistics and Supply Chain, Journal Year: 2023, Volume and Issue: 7, P. 100104 - 100104

Published: March 21, 2023

The agri-food supply chain has unique characteristics, such as perishability, high product differentiation, and safety requirements, which results in one-third of its production being lost wasted. is also responsible for emitting annually the equivalent 3.6 gigatons CO2. Recently, circular economy experienced advances non-perishable products, system been studied mainly through conceptual research. In contrast to other chains, there are conditions that stakeholders unable or reluctant explore when adopting alternatives. For instance, costs involved food recovery reuse, market advantages, regulations, education relevant incentivizing holistic sustainability sector. However, few studies have focused on adoption circularity this a complex system. decisions, incentives, obstacles alternatives within between echelons, why, when, how made them, not directly analyzed. context, systematic review existing publications domain was conducted discussed with two aims: (1) establish frontiers related by chain, referred (CFE), so understand characteristics decision-making process different chain; (2) summarize barriers drivers mentioned literature, including discussing their impacts what, who, decisions adopt CFE currently made. showed complexity studying chains revealed loss waste, cost-efficiency alternatives, policy-making, information communication technologies, customer preferences, stakeholder cooperation industry-academia-government collaboration key aspects process. Potential future discussed.

Language: Английский

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Risk management of green supply chains for agricultural products based on social network evaluation framework

Business Strategy and the Environment, Journal Year: 2024, Volume and Issue: 33(5), P. 4913 - 4934

Published: March 7, 2024

Abstract The green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal external environments that threaten its performance stability. This paper proposes novel framework system identifying evaluating the main GSCAP perspective enterprises. combines social network analysis (SNA) an improved technique order preference by similarity to ideal solution (TOPSIS) method. SNA used analyze correlations influences among different types risks, while TOPSIS method rank GSCAPs identify each chain. are verified case study CDYBIT, leading platform food safety big data service results show supermarket has highest risk, followed group catering chain, five‐star hotel lowest risk. risk factors also discussed, some suggestions management provided. contributes literature providing comprehensive systematic assessment GSCAP, which can help enterprises improve their awareness response capabilities.

Language: Английский

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