Skip to main content
SpringerLink
Log in

Designing Distribution Network for Indian Agri-fresh Food Supply Chain

  • Chapter
  • First Online:
Studies in Quantitative Decision Making

Part of the book series: Asset Analytics ((ASAN))

  • 351 Accesses

Abstract

In India, 85% of farmers have less than two hectares farming land. These farmers transport their products exclusively in the market to sell them in traditional Indian agri-fresh food supply chain. Owing to this, a higher transportation cost occurs in the traditional chain, which leads to low profitability of farmers. We propose aggregate product movement using clustering of farmers (based on the maximum distance traveled by a farmer) to achieve economy in transportation. A multi-period mixed-integer nonlinear programming (MINLP) model for multi-product is formulated of a four-echelon supply chain to minimize total distribution cost. The model determines location–allocation of farmers’ cluster centers and hubs, and product flow between facilities and inventory levels at hubs. The formulated model is transformed into a mixed-integer linear programming (MILP) model to handle large-size data. To check the validity and viability of the developed models, a real case study of Mandsaur district (India) is considered with small, medium, and large sizes of the problem. We compare the outcomes of both models obtained using LINGO 12.0 for small- and medium-size problems. It is reported that the MILP model is better than MINLP in terms of objective value and computational time. Furthermore, the results and dynamics in terms of farmers’ cluster formation for the MILP model on a large-size problem are discussed. The sensitivity analysis reports that the proposed MILP model is robust in terms of maximum distance traveled by a farmer to the total distribution cost.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ahumada, O., & Villalobos, J. R. (2011). A tactical model for planning the production and distribution of fresh produce. Annals of Operations Research, 190(1), 339–358.

    Article  Google Scholar 

  • Amiri, A. (2006). Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operational Research, 171(2), 567–576.

    Article  Google Scholar 

  • Anjaly, B., & Bhamoriya, V. (2011). Samriddhii: Redesigning the vegetable supply chain in Bihar. Indore Management Journal, 2(4), 40–52.

    Google Scholar 

  • Balaji, M., & Arshinder, K. (2016). Modeling the causes of food wastage in Indian perishable food supply chain. Resources, Conservation & Recycling, 114, 153–167.

    Article  Google Scholar 

  • Bosona, T. G., & Gebresenbet, G. (2011). Cluster building and logistics network integration of local food supply chain. Biosystems Engineering, IAgrE, 108(4), 293–302.

    Article  Google Scholar 

  • Boudahri, F., Sari, Z., Maliki, F., & Bennekrouf, M. (2011). Design and optimization of the supply chain of agri-foods: Application distribution network of chicken meat. In 2011 International Conference on Communications, Computing and Control Applications, CCCA 2011. Available from https://doi.org/10.1109/CCCA.2011.6031424

  • Brulard, N., Cung, V., Catusse, N., & Dutrieux, C. (2018). An integrated sizing and planning problem in designing diverse vegetable farming systems. International Journal of Production Research, 1–19.

    Google Scholar 

  • Census of India. (2011). District Census Handbook Mandsaur (24th ed.). Directorate of Census Operations Madhya Pradesh. Available from http://censusindia.gov.in/2011census/dchb/2316_PART_B_DCHB_MANDSAUR.pdf

  • Chandrasekaran, M., & Ranganathan, R. (2017). Modelling and optimisation of Indian traditional agriculture supply chain to reduce post-harvest loss and CO2 emission. Industrial Management & Data Systems, 117(9), 1817–1841.

    Article  Google Scholar 

  • Chopra, S. (2003). Designing the distribution network in a supply chain. Transportation Research Part e: Logistics and Transportation Review, 39(2), 123–140.

    Article  Google Scholar 

  • Dandage, K., Badia-Melis, R., & Ruiz-García, L. (2017). Indian perspective in food traceability: A review. Food Control, 71, 217–227.

    Article  Google Scholar 

  • Daskin, M. S., Snyder, L. V., & Berger, R. T. (2005). Facility location in supply chain design, logistics systems: Design and optimization. Available from https://doi.org/10.1007/0-387-24977-X_2

  • Dhaliwal, M. S. (2017). Classification of vegetable crops. Handbook of vegetable crops (third ed., pp. 11–17). Kalyani Publishers.

    Google Scholar 

  • Etemadnia, H., Goetz, S. J., Canning, P., & Tavallali, M. S. (2015). Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach. European Journal of Operational Research, 244(2), 648–661.

    Article  Google Scholar 

  • Farahani, P., Grunow, M., & Günther, H.-O. (2012). Integrated production and distribution planning for perishable food products. Flexible Services and Manufacturing Journal, 24(1), 28–51.

    Article  Google Scholar 

  • Gandhi, V. P., & Namboodiri, N. V. (2004). Marketing of fruits and vegetables in India: A study covering the Ahmedabad, Chennai and Kolkata Markets. Available from https://web.iima.ac.in/assets/snippets/workingpaperpdf/2004-06-09vpgandhi.pdf

  • Ganeshkumar, C., Pachayappan, M., & Madanmohan, G. (2017). Agri-food supply chain management: Literature review. Intelligent Information Management, 9(2), 68–96.

    Article  Google Scholar 

  • Gardas, B. B., Raut, R. D., Cheikhrouhou, N., & Narkhede, B. E. (2019). A hybrid decision support system for analyzing challenges of the agricultural supply chain. Sustainable Production and Consumption, 18, 19–32.

    Article  Google Scholar 

  • Gardas, B. B., Raut, R. D., & Narkhede, B. (2017). Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective. Renewable and Sustainable Energy Reviews, 80, 1355–1371.

    Article  Google Scholar 

  • Gelareh, S., Neamatian Monemi, R., & Nickel, S. (2015). Multi-period hub location problems in transportation. Transportation Research Part e: Logistics and Transportation Review, 75, 67–94.

    Article  Google Scholar 

  • Gholamian, M. R., & Taghanzadeh, A. H. (2017). Integrated network design of wheat supply chain: A real case of Iran. Computers and Electronics in Agriculture, 140, 139–147.

    Article  Google Scholar 

  • Google Maps. (2018). Mandsaur District. Available from https://www.google.com/maps/place/Mandsaur,+Madhya+Pradesh/@24.0609876,74.9963644,11z/data=!4m5!3m4!1s0x39642ea9db15e09f:0x89a3e5ea4399695b!8m2!3d24.076836!4d75.0692952

  • Govindan, K. (2018). Sustainable consumption and production in the food supply chain: A conceptual framework. International Journal of Production Economics, 195, 419–431.

    Article  Google Scholar 

  • Hegde, R. N., & Madhuri, N. V. (2013). A study on marketing infrastructure for fruits and vegetables in India. National Institute of Rural Development. Available from http://www.nird.org.in/NIRD_Docs/rs2013/RS91.pdf

  • Hiremath, N. C., Sahu, S., & Tiwari, M. K. (2013). Multi objective outbound logistics network design for a manufacturing supply chain. Journal of Intelligent Manufacturing, 24(6), 1071–1084.

    Article  Google Scholar 

  • Jayaraman, V., & Ross, A. (2003). A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 144(3), 629–645.

    Article  Google Scholar 

  • Kashyap, D., & Agarwal, T. (2019). Food loss in India: Water footprint, land footprint and GHG emissions. Environment, Development and Sustainability, 2–14.

    Google Scholar 

  • Kaur, H., & Singh, S. P. (2017). Heuristic modeling for sustainable procurement and logistics in a supply chain using big data. Computers and Operations Research, 98, 1–21.

    Google Scholar 

  • Khalilpourazari, S., & Khamseh, A. A. (2017). Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: A comprehensive study with real world application. Annals of Operations Research, 1–39.

    Google Scholar 

  • Khamjan, W., Khamjan, S., & Pathumnakul, S. (2013). Determination of the locations and capacities of sugar cane loading stations in Thailand. Computers and Industrial Engineering, 66(4), 663–674.

    Article  Google Scholar 

  • Kundu, T. (2013). Design of a sustainable supply chain model for the Indian agri-food sector: An interdisciplinary approach (M.Tech Thesis). Jadavpur University.

    Google Scholar 

  • Mahapatra, M. S., & Mahanty, B. (2018). India’s national food security programme: A strategic insight. Sādhanā, 43.

    Google Scholar 

  • Melo, M. T., Nickel, S., & Saldanha-da-gama, F. (2009). Facility location and supply chain management—A review. European Journal of Operational Research, 196(2), 401–412.

    Article  Google Scholar 

  • Ministry of Agriculture & Farmers Welfare (MoAFW) Government of India. (2017). Horticultural statistics at a glance 2017. Oxford University Press. Available from https://doi.org/10.1787/health_glance-2017-en

  • Ministry of Agriculture & Farmers Welfare (MoAFW) Government of India. (2018). Agricultural statistics-2018. Available from http://agricoop.gov.in/sites/default/files/agristatglance2018.pdf

  • Mogale, D. G., Dolgui, A., Kandhway, R., Kumar, S. K., & Tiwari, M. K. (2017). A multi-period inventory transportation model for tactical planning of food grain supply chain. Computers and Industrial Engineering, 110, 379–394.

    Article  Google Scholar 

  • NABARD. (2014). Agricultural land holdings pattern in India. NABARD Rural Pulse, I, 1–4.

    Google Scholar 

  • National Crime Records Bureau (NCRB). (2016). Accidental deaths & suicides in India 2015, New Delhi. Available from http://ncrb.nic.in/StatPublications/ADSI/ADSI2015/adsi-2015-full-report.pdf. Accessed November 16, 2017

  • National Sample Survey Office (NSSO). (2014). Household consumption of various goods and services in India 2011–12 (Vol. 558). New Delhi. Available from http://mospi.nic.in/sites/default/files/publication_reports/Report_no558_rou68_30june14.pdf

  • National Sample Survey Organisation (NSSO). (2005). Situation assessment survey of farmers: Some aspects of farming (Vol. 496). Available from http://planningcommission.nic.in/sectors/agri_html/some%20aspects%20of%20farming%2059%20tround%202003.pdf. Accessed February 7, 2017

  • Negi, S., & Anand, N. (2017). Post-harvest losses and wastage in Indian fresh agro supply chain industry: A challenge. IUP Journal of Supply Chain Management, 14(2), 7–24.

    Google Scholar 

  • Nourbakhsh, S. M., Bai, Y., Maia, G. D. N., Ouyang, Y., & Rodriguez, L. (2016). Grain supply chain network design and logistics planning for reducing post-harvest loss. Biosystems Engineering, 151, 105–115.

    Article  Google Scholar 

  • Olivares-Benitez, E., González-Velarde, J. L., & Ríos-Mercado, R. Z. (2012). A supply chain design problem with facility location and bi-objective transportation choices. TOP, 20(3), 729–753.

    Article  Google Scholar 

  • Panda, R. K., & Sreekumar. (2012). Marketing channel choice and marketing efficiency assessment in agribusiness. Journal of International Food & Agribusiness Marketing, 24(3), 213–230.

    Google Scholar 

  • Parwez, S. (2016). A conceptual model for integration of Indian food supply chains. Global Business Review, 17(4), 1–17.

    Article  Google Scholar 

  • Patidar, R., Agrawal, S., & Pratap, S. (2018). Development of novel strategies for designing sustainable Indian agri-fresh food supply chain. Sādhanā, 43(10), 1–16.

    Article  Google Scholar 

  • Pennington, J. A. (2003). Definitions and classifications for fruit and vegetables. IARC Handbooks of Cancer Prevention (pp. 1–21).

    Google Scholar 

  • Raghunath, S., & Ashok, D. (2009). Delivering simultaneous benefits to the farmers and the common man: Time to unshackle the agricultural produce distribution system. In S. Chopra, P. Meindl, & D. V. Kalra (Eds.), Supply chain management: Strategic, planning and operation, third (pp. 133–139). Pearson Prentice Hall.

    Google Scholar 

  • Rais, M., & Sheoran, A. (2015). Scope of supply chain management in fruits and vegetables in India. Journal of Food Processing & Technology, 6(3), 1–7.

    Google Scholar 

  • Rajurkar, S. W., & Jain, R. (2011). Food supply chain management: Review, classification and analysis of literature. International Journal Integrated Supply Management, 6(1), 33–72.

    Article  Google Scholar 

  • Rancourt, M. È., Cordeau, J. F., Laporte, G., & Watkins, B. (2015). Tactical network planning for food aid distribution in Kenya. Computers and Operations Research, 56, 68–83.

    Article  Google Scholar 

  • Samuel, M. V., Shah, M., & Sahay, B. S. (2012). An insight into agri-food supply chains: A review. International Journal of Value Chain Management, 6(2), 115–143.

    Article  Google Scholar 

  • Shukla, M., & Jharkharia, S. (2013). Agri-fresh produce supply chain management: A state of the art literature review. International Journal of Operations & Production Management, 33(2), 114–158.

    Article  Google Scholar 

  • Siddh, M. M., Soni, G., Jain, R., Sharma, M. K., & Yadav, V. (2017). Agri-fresh food supply chain quality (AFSCQ): A literature review. Industrial Management & Data Systems, 117(9), 2015–2044.

    Article  Google Scholar 

  • Sihariya, G., Hatmode, V. B., & Nagadevara, V. (2013). Supply chain management of fruits and vegetables in India. International Journal of Operations and Quantitative Management, 19(2), 113–122.

    Google Scholar 

  • Sohoni, V., & Joshi, A. (2015). Nisarg Nirman: The social farming venture from India. Emerald Emerging Markets Case Studies, 5(8), 1–16.

    Article  Google Scholar 

  • Tsolakis, N. K., Keramydas, C. A., Toka, A. K., Aidonis, D. A., & Iakovou, E. T. (2014). Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy. Biosystems Engineering, 120, 47–64.

    Article  Google Scholar 

  • Vibrant Gujarat Global Summit. (2017). Government of India initiatives. Vibrant Gujarat Global Summit 2017. Available from https://vibrantgujarat.com/writereaddata/images/pdf/Presentation-Government-of-India-Initiatives.pdf. Accessed February 10, 2017

  • Yu, J., Gan, M., Ni, S., & Chen, D. (2015). Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information. Journal of Intelligent Manufacturing, 29(2), 389–403.

    Article  Google Scholar 

  • Zhu, Z., Chu, F., Dolgui, A., Chu, C., & Zhou, W. (2018). Recent advances and opportunities in sustainable food supply chain: A model-oriented review. International Journal of Production Research, 1–23.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India

    Rakesh Patidar & Sunil Agrawal

Authors
  1. Rakesh Patidar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sunil Agrawal
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Production and Quantitative Methods Area, Indian Institute of Management Ahmedabad, Ahmedabad, Gujarat, India

    Diptesh Ghosh

  2. Industrial and Management Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Avijit Khanra

  3. Industrial and Management Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    S. V. Vanamalla

  4. Industrial and Management Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Faiz Hamid

  5. Industrial and Management Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Raghu Nandan Sengupta

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Patidar, R., Agrawal, S. (2022). Designing Distribution Network for Indian Agri-fresh Food Supply Chain. In: Ghosh, D., Khanra, A., Vanamalla, S.V., Hamid, F., Sengupta, R.N. (eds) Studies in Quantitative Decision Making. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-16-5820-4_3

Download citation

Publish with us

Policies and ethics

Search

Navigation