Strategic analysis of the Indian agri-food supply chain

Meena, Siya Ram; Meena, Shambhu D.; Pratap, Saurabh; Patidar, Rakesh; Daultani, Yash

doi:10.1007/s12597-019-00380-5

Cited by 30 publications

(19 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, despite agriculture being exempted from the lockdown restrictions, labor and input availability were observed as major bottleneck areas as reported by the farmers. The food supply chain in India is disorganized, fragmented and inefficient due to several challenges like small landholdings, lack of infrastructure like post-harvest storage and processing units, among many others (Parwez, 2016;Meena et al, 2019). These challenges further magnify the impact of both biotic and abiotic risks as mentioned in the news articles.…”

Section: Discussionmentioning

confidence: 99%

From Farm to Fork: Early Impacts of COVID-19 on Food Supply Chain

Vyas

Chanana

et al. 2021

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

COVID-19 pandemic has resulted in widespread global disruptions. While much is being discussed about the health and economic impacts, there has been a limited focus on the immediate food sector shocks and their related social implications in developing countries, especially when the farmer surveys cannot be conducted due to mobility restrictions in many countries. To overcome these challenges, this study uses news mining and content analysis of media articles published from February to April 2020, to assess the early impacts of the COVID-19 pandemic on the food supply chain and farm distress in India. It also presents the media perception of the impact of the pandemic and resulting policy measures using sentiment analysis, in addition to the cross-tabulation of results that show differential impacts across food supply chain components among different commodity groups and regions. The results show wide-scale impacts across different components of the food supply chain ranging from crop harvesting and processing, distribution and logistics to disruptions across food markets, as represented by 22, 11 and 30% of total articles, respectively. The impacts are also differentiated by commodity groups, with animal products having more trade and demand-side issues, logistic bottlenecks in fruits and vegetables and crops showing problems in labor availability and harvesting. Sentiment analysis of news items shows a spike in the negative sentiment immediately post the national lockdown, with relatively less negativity in subsequent weeks due to large-scale policy and community action. Sentiment classification along different indicators shows the highest negative sentiment for animal products (85%) in commodity groups, western states of India (78%) among different regions, and food supply (85%) and markets (83%) among supply chain components. Further, extreme weather analysis (using excess rainfall events) shows that farmers faced compound risks from the COVID-19 pandemic and extreme weather events in many parts of the country. The results highlight the importance of building resilient food systems, especially when the biotic and abiotic shocks are projected to increase globally due to many drivers including biodiversity loss and climate change.

show abstract

Section: Discussionmentioning

confidence: 99%

From Farm to Fork: Early Impacts of COVID-19 on Food Supply Chain

Vyas

Chanana

et al. 2021

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

show abstract

“…Further, Ali et al (2019) presented a framework for risk evaluation in food supply chains. Similarly, Meena et al (2019) studied an Indian agro-food supply chain problem and identified the important factors affecting the agro-food supply chain using Fuzzy analytic hierarchy process (AHP) method. Chen et al (2020) designed a knowledge network examining lean supply chain decisions with respect to agro-food industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Dwivedi

Jha

Prajapati

et al. 2020

MSCRA

Self Cite

View full text Add to dashboard Cite

PurposeDue to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.Design/methodology/approachA mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.FindingsThe model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.Research limitations/implicationsIn literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.Originality/valueThe suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.

show abstract

“…Sayareh & Alizmini (2014) focused to balance the utmost dominant decision-making-criteria by TOPSIS and the optimized container seaport selection by the AHP method according to the significant factors of port selection. Meena et al (2019) used AHP and fuzzy AHP to rank the identified SWOT factors in the agro-food supply chain in the Indian context. Ugboma et al (2006) used the analytical hierarchy process (AHP) method to form a better framework.…”

Section: Solution Approachmentioning

confidence: 99%

Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector

et al. 2020

Self Cite

View full text Add to dashboard Cite

Shipping logistics is one of the very important criteria which can directly and indirectly affect the economy and GDP of any country. Shipping logistics depends on various factors which have been addressed by several authors in their previous studies. Studies in this literature are focused on selecting the most impactful factors among all the criteria. Methods used in this literature are fuzzy AHP (Analytical Hierarchy Process) and fuzzy TOPSIS (Technique for order of Preference by Similarity to Ideal Solution) for multi-criteria decision analysis. These methods also helped in this literature to develop a new hybrid method "fuzzy TOPSIS AHP". There have been no studies involving maritime logistics with comparative analysis of multi-criteria decision making i.e., fuzzy AHP and fuzzy TOPSIS AHP. The literature involved large number of expert opinions on the factor prioritization of maritime logistics. Factors selected for prioritization are Environmental Sustainability, Supply and Demand, Operations and Port Selection. However, the research showed that the comparative analysis of the results was quite opposite to one another and proposed a new way for researchers to use the hybrid method of fuzzy TOPSIS AHP method in future research.The study aimed to improve the existing maritime model which can help professionals to get connected with the maritime logistics firms. The study also aims to contribute this model for researchers in their study related to maritime logistics.

show abstract

Strategic analysis of the Indian agri-food supply chain

Cited by 30 publications

References 30 publications

From Farm to Fork: Early Impacts of COVID-19 on Food Supply Chain

From Farm to Fork: Early Impacts of COVID-19 on Food Supply Chain

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector

Contact Info

Product

Resources

About