Multi-objective optimization of agro-food supply chain networking problem integrating economic viability and environmental sustainability through type-2 fuzzy-based decision making DOI
Prasad Belamkar, Saptadeep Biswas, Abhijit Baidya

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 421, С. 138294 - 138294

Опубликована: Авг. 4, 2023

Язык: Английский

Shifts in consumer behavior towards organic products: Theory-driven data analytics DOI
Firouzeh Taghikhah, Alexey Voinov, Nagesh Shukla

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2021, Номер 61, С. 102516 - 102516

Опубликована: Март 11, 2021

Язык: Английский

Процитировано

67

Hybrid machine learning-metaheuristic model for sustainable agri-food production and supply chain planning under water scarcity DOI Creative Commons
Mobina Mousapour Mamoudan, A. A. Jafari, Zahra Mohammadnazari

и другие.

Resources Environment and Sustainability, Год журнала: 2023, Номер 14, С. 100133 - 100133

Опубликована: Авг. 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

Язык: Английский

Процитировано

34

A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic DOI
Towfique Rahman, Sanjoy Kumar Paul, Renu Agarwal

и другие.

International Journal of Production Research, Год журнала: 2023, Номер 62(10), С. 3415 - 3434

Опубликована: Июль 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

Язык: Английский

Процитировано

24

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

Deniz Besik,

Anna Nagurney, Pritha Dutta

и другие.

European Journal of Operational Research, Год журнала: 2022, Номер 307(1), С. 364 - 381

Опубликована: Авг. 6, 2022

Язык: Английский

Процитировано

31

Sociodemographic and individual predictors of residential solar water heater adoption behaviour DOI
Mohammad Alipour, Sara Ghaboulian Zare, Firouzeh Taghikhah

и другие.

Energy Research & Social Science, Год журнала: 2023, Номер 101, С. 103155 - 103155

Опубликована: Июнь 3, 2023

Язык: Английский

Процитировано

20

Optimization of food-energy-water-waste nexus in a sustainable food supply chain under the COVID-19 pandemic: a case study in Iran DOI Open Access
Marziye Seif, Saeed Yaghoubi, Mohammad Reza Khodoomi

и другие.

Environment Development and Sustainability, Год журнала: 2023, Номер 26(3), С. 7163 - 7197

Опубликована: Фев. 23, 2023

Язык: Английский

Процитировано

18

Risk management of green supply chains for agricultural products based on social network evaluation framework DOI Creative Commons
Wenke Wang, Qilin Cao, Yang Liu

и другие.

Business Strategy and the Environment, Год журнала: 2024, Номер 33(5), С. 4913 - 4934

Опубликована: Март 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.

Язык: Английский

Процитировано

7

Data-driven on sustainable food supply chain: a comparison on Halal and non-Halal food system DOI
Ming‐Lang Tseng, Hiền Minh Hà, Thi Phuong Thuy Tran

и другие.

Journal of Industrial and Production Engineering, Год журнала: 2022, Номер 39(6), С. 430 - 457

Опубликована: Март 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.

Язык: Английский

Процитировано

28

Finding the ecological farmer: A farmer typology to understand ecological practice adoption within Europe DOI Creative Commons
Andrew Barnes, Bethan Thompson, Luiza Toma

и другие.

Current Research in Environmental Sustainability, Год журнала: 2022, Номер 4, С. 100125 - 100125

Опубликована: Янв. 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.

Язык: Английский

Процитировано

24

Characteristics of decision process towards circular food economy: A review DOI Creative Commons
Sinndy Dayana Rico Lugo, Koji Kimita, Nariaki Nishino

и другие.

Cleaner Logistics and Supply Chain, Год журнала: 2023, Номер 7, С. 100104 - 100104

Опубликована: Март 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.

Язык: Английский

Процитировано

16