Strategic analysis of the Indian agri-food supply chain. (English) Zbl 1486.90108
Summary: Indian agri-food supply chain (AFSC) is highly unorganized in terms of flow of products, funds, and information, resulting in low profitability of farmers. In this paper, we have identified various internal factors (strengths and weaknesses) and external factors (opportunities and threats) of AFSC to make a strategic viewpoint. Based on the identified factors, questionnaire are prepared and circulated among experts from academics and industries to prioritize the identified factors. Further, analytical hierarchy process (AHP) and Fuzzy-AHP methods are used to rank the identified strengths, weaknesses, opportunities and threats factors followed by comparative analysis. The results reveal that agriculture sectors significant contribute in national growth and it is a highest ranked strength. Small farm holding farmers is a major weakness of Indian agriculture system. These factors need to be addressed in designing of Indian AFSC, which has capability to stimulate the growth of overall agriculture sector as well as the nation.
MSC:
| 90B50 | Management decision making, including multiple objectives |
| 90B05 | Inventory, storage, reservoirs |
References:
| [1] | T. R. Ministry of Agriculture, Government of India. Agriculture And Allied Industries. https://www.ibef.org/ (2019) [Online].///C:/Users/hp/Downloads/Agriculture-December-2016.pdf |
| [2] | Patidar, R., Agrawal, S., Pratap, S.: Development of novel strategies for designing sustainable Indian agri-fresh food supply chain. Sadhana Acad. Proc. Eng. Sci. 43(10), 151-167 (2018) |
| [3] | Aramyan, L.H., Lansink, A.G.J.M.O., Van Der Vorst, J.G.A.J., Van Kooten, O.: Doctoral paper Performance measurement in agri-food supply chains: a case study. Supply Chain Manag. Int. J. 4(12), 304-315 (2007) · doi:10.1108/13598540710759826 |
| [4] | Ganeshkumar, C., Pachayappan, M., Madanmohan, G.: Agri-food supply chain management: literature review. Intell. Inf. Manag. 9, 68-96 (2017) |
| [5] | Siddh, M.M., Soni, G., Jain, R., Sharma, M.K., Yadav, V.: Agri-fresh food supply chain quality (AFSCQ): a literature review. Ind. Manag. Data Syst. 117(9), 2015-2044 (2017) · doi:10.1108/IMDS-10-2016-0427 |
| [6] | Routroy, S., Behera, A.: Agriculture supply chain: a systematic review of literature and implications for future research. J. Agribus. Dev. Emerg. Econ. 7(3), 275-302 (2017) · doi:10.1108/JADEE-06-2016-0039 |
| [7] | Panneerselvam, S.: Food retail and retail supply chain in India—literature review. Ijrime 2(3), 80-100 (2012) |
| [8] | Zhong, R., Xu, X., Wang, L.: Food supply chain management: systems, implementations, and future research. Ind. Manag. Data Syst. 117(9), 2085-2114 (2017) · doi:10.1108/IMDS-09-2016-0391 |
| [9] | An, J., Wang, L., Lv, X.: Research on agri-food cold chain logistics management system : connotation, structure and operational mechanism, pp. 894-902 (2015) |
| [10] | An, J., Lv, X., Chen, W.: A review of literature for research on urban demand oriented agri-food cold chain logistics management system, pp. 111-120 (2015) |
| [11] | Amekawa, Y.: Reconciling safety and fairness in global agri-food standardization. Sociol. Mind 03(01), 32-38 (2013) · doi:10.4236/sm.2013.31006 |
| [12] | Patidar, R., Venkatesh, B., Pratap, S., Daultani, Y.: A sustainable vehicle routing problem for indian agri-food supply chain network design. In: 2018 International Conference on Production and Operations Management Society, POMS 2018, pp. 1-5 (2019) |
| [13] | Coteur, I., Marchand, F., Debruyne, L., Lauwers, L.: Understanding the myriad of sustainable development processes in agri-food systems: a case in Flanders. J. Clean. Prod. 209, 472-480 (2018) · doi:10.1016/j.jclepro.2018.10.066 |
| [14] | Bochtis, D., Sørensen, C.A.G., Kateris, D.: Agriproducts supply chain operations. In: Operations Management in Agriculture, Academic Press, pp. 179-186 (2019) |
| [15] | Gokarn, S., Kuthambalayan, T.S.: Creating sustainable fresh produce supply chains by managing uncertainties. J. Clean. Prod. 207, 908-919 (2019) · doi:10.1016/j.jclepro.2018.10.072 |
| [16] | Mogale, D.G., Kumar, M., Kumar, S.K., Tiwari, M.K.: Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network. Transp. Res. Part E Logist. Transp. Rev. 111(January), 40-69 (2018) · doi:10.1016/j.tre.2018.01.004 |
| [17] | Maiyar, L.M., Thakkar, J.J.: A combined tactical and operational deterministic food grain transportation model: particle swarm based optimization approach. Comput. Ind. Eng. 110, 30-42 (2017) · doi:10.1016/j.cie.2017.05.023 |
| [18] | Mogale, D.G., Dolgui, A., Kandhway, R., Kumar, S.K., Tiwari, M.K.: A multi-period inventory transportation model for tactical planning of food grain supply chain. Comput. Ind. Eng. 110, 379-394 (2017) · doi:10.1016/j.cie.2017.06.008 |
| [19] | Mogale, D.G., Kumar, S.K., Kumar Tiwari, M.: Two stage Indian food grain supply chain network transportation-allocation model. In: IFAC-PapersOnLine, vol. 49, no. 12, pp. 1767-1772 (2016) |
| [20] | Mogale, D.G., Kumar, S.K., Tiwari, M.K.: An MINLP model to support the movement and storage decisions of the Indian food grain supply chain. In: Control Engineering Practice, vol. 70, no. September pp. 98-113 (2018) |
| [21] | Görener, A., Toker, K., Uluçay, K.: Application of combined SWOT and AHP: a case study for a manufacturing firm. In: 8th International strategic management conference application. Procedia—Social and Behavioral Sciences, vol. 58, pp. 1525-1534 (2012) |
| [22] | Phadermrod, B., Crowder, R.M., Wills, G.B.: Importance-performance analysis based SWOT analysis. Int. J. Inf. Manag. 44, 194-203 (2019) · doi:10.1016/j.ijinfomgt.2016.03.009 |
| [23] | Cui, J., Allan, A., Lin, D.: SWOT analysis and development strategies for underground pedestrian systems. In: Tunnelling and Underground Space Technology, vol. 87, no. December pp. 127-133 (2019) |
| [24] | Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1, 83-93 (2008) |
| [25] | Kim, S.W., Wall, A., Wang, J., Kwon, Y.S.: Application of AHP to fire safety based decision making of a passenger ship. Opsearch 45(3), 249-262 (2017) · Zbl 1172.90433 · doi:10.1007/BF03398817 |
| [26] | Dani, A.R.: Fuzzy analytical hierarchical process for selecting a bank. Opsearch 40(4), 241-252 (2003) · Zbl 1210.90100 · doi:10.1007/BF03398698 |
| [27] | Xu, S., Xu, D., Liu, L.: Sustainable computing: informatics and systems construction of regional informatization ecological environment based on the entropy weight modified AHP hierarchy model. Sustain. Comput. Inform. Syst. 22, 26-31 (2019) |
| [28] | Khatri, J.K., Metri, B.: SWOT-AHP approach for sustainable manufacturing strategy selection: a case of Indian SME. In: Global Business Review (2016) |
| [29] | Bohtan, A., Vrat, P., Vij, A.K.: Supply chain of the Indian public distribution system: a new paradigm. J. Adv. Manag. Res. 14(1), 110-123 (2017) · doi:10.1108/JAMR-09-2015-0065 |
| [30] | Oztaysi, B.: A decision model for information technology selection using AHP integrated TOPSIS-grey: the case of content management systems. Knowl. Based Syst. 70, 44-54 (2014) · doi:10.1016/j.knosys.2014.02.010 |
| [31] | How to Feed the World in 2050. Food and Agriculture Organization of the United Nations, pp. 1-35 (2015) |
| [32] | NIAM Jaipur and Rajasthan.: National Institute of Agricultural Marketing (NIAM) Jaipur Rajasthan Private Partnership. In: Agriculture Marketing, Maharashtra |
| [33] | Satty.: The Analytic Hierarchy Process (1980) · Zbl 0587.90002 |
| [34] | Ren, C., Li, Z., Zhang, H.: Integrated multi-objective stochastic fuzzy programming and AHP method for agricultural water and land optimization allocation under multiple uncertainties. J. Clean. Prod. 210, 12-24 (2019) · doi:10.1016/j.jclepro.2018.10.348 |
| [35] | Diouf, M., Kwak, C.: Fuzzy AHP, DEA, and managerial analysis for supplier selection and development; from the perspective of open innovation (2018) |
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