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Research Article

Cost optimization in the urban distribution of dairy supply – A case of Sanchi, Bhopal, India

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Article: 2331197 | Received 01 Oct 2023, Accepted 11 Mar 2024, Published online: 19 Mar 2024

References

  • Álvarez, R., Calvo, R., Peña, M. M., & Domingo, R. (2009). Redesigning an assembly line through lean manufacturing tools. The International Journal of Advanced Manufacturing Technology, 43(9–10), 949–18. https://doi.org/10.1007/s00170-008-1772-2
  • Boysen, N., & Bock, S. (2011). Scheduling just-in-time part supply for mixed-model assembly lines. European Journal of Operational Research, 211(1), 15–25. https://doi.org/10.1016/j.ejor.2010.10.029
  • Brar, G. S., & Saini, G. (2011). Milk run logistics: Literature review and directions. Proceedings of the World Congress on Engineering, London, UK, July 6–8, 2011.
  • DAHD. (2018). National action plan for dairy development—vision 2022. Department of Animal Husbandry and Dairying, Government of India.
  • Domingo, R., Alvarez, R., Peña, M. M., Calvo, R., & Karjalainen, I. (2007). Materials flow improvement in a lean assembly line: A case study. Assembly Automation, 27(2), 141–147. https://doi.org/10.1108/01445150710733379
  • FAO. (2017, November 11). Food Outlook Biannual Report on Global Food Markets. Food Outlook – Biannual Report on Global Food Markets. https://doi.org/10.4060/cb7491en
  • FAO. (2020). World Milk Production Trends in 2018. http://www.fao.org/3/ca8341en/CA8341EN.pdf
  • GoI. (2014). Key indicators of situation of agricultural households in India. NSS 70th Round. National Sample Survey Office, Ministry of Statistics and Programme Implementation, Government of India, New Delhi.
  • Goli, A. (2023). Integration of blockchain-enabled closed-loop supply chain and robust product portfolio design. Computers and Industrial Engineering, 179, 109211. https://doi.org/10.1016/j.cie.2023.109211
  • Goli, A., Ala, A., & Hajiaghaei-Keshteli, M. (2023). Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem. Expert Systems with Applications, 213, 213. https://doi.org/10.1016/j.eswa.2022.119077
  • Goli, A., Ala, A., & Mirjalili, S. (2023). A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty. Annals of Operations Research, 328(1), 493–530. https://doi.org/10.1007/s10479-022-04829-7
  • Goli, A., Golmohammadi, A. M., & Verdegay, J. L. (2022). Retracted article: Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm. Operations Management Research, 15(3–4), 891–912. https://doi.org/10.1007/s12063-022-00298-0
  • Goli, A., & Tirkolaee, E. B. (2023). Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: Accelerated benders decomposition algorithm. Computers and Operations Research, 155, 155. https://doi.org/10.1016/j.cor.2023.106244
  • Haksever, C., Render, B., Russell, R., & Murdick, R. (2000). Vehicle routing and scheduling, service management and operations (2nd ed.). Prentice Hall. Upper Saddle River.
  • Hao, Q., & Shen, W. (2008). Implementing a hybrid simulation model for a Kanban-based material handling system. Robotics and Computer-Integrated Manufacturing, 24(5), 635–646. https://doi.org/10.1016/j.rcim.2007.09.012
  • Kilic, H. S., Durmusoglu, M. B., & Baskak, M. (2012). Classification and modeling for in-plant milk-run distribution systems. The International Journal of Advanced Manufacturing Technology, 62(9–12), 1135–1146. https://doi.org/10.1007/s00170-011-3875-4
  • Lok Sabha. (2019). Statement by Ministry of Fisheries, Animal Husbandry and Dairying.
  • Michel Baudin. (2004). Lean logistics: The nuts and bolts of delivering materials and goods. Productivity Press.
  • MoSPI. (2021). National accounts statistics 2020. Central Statistical Organization. Ministry of Statistics and Program Implementation. Ministry of Statistics and Programme Implementation, Government of India,
  • Nanda Kumar, T., Das, S., & Gulati, A. (2022). Dairy value chain. https://doi.org/10.1007/978-981-33-4268-2_6
  • Nemoto, T., Hayashi, K., & Hashimoto, M. (2010). Milk-run logistics by Japanese automobile manufacturers in Thailand. Procedia - Social & Behavioral Sciences, 2(3), 5980–5989. https://doi.org/10.1016/j.sbspro.2010.04.012
  • Özturk Calik, E. (2022). Research design: Qualitative, quantitative and mixed methods approaches 4th, eds Creswell, J. W. CA: Sage. (2014). ELT Research Journal, (2), Vol. 11.
  • Patel, D., Patel, M. B., & Vadher, J. (2017). Design and development of milk-run material supply system with time windows and simultaneous pickups and deliveries. IJIRST-International Journal for Innovative Research in Science & Technology|, 4(2). https://www.ijirst.org
  • Patel, D., Patel, M. B., & Vadher, J. A. (2014). Implementation of milk run material supply system in vehicle routing problem with simultaneous pickup and delivery. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 3(11), 122–124. https://www.semanticscholar.org/paper/Implementation-of-milk-run-material-supply-system-Patel-Patel/370d90021921e6303daa8aeb6bed291d8baeff8a
  • Sanchi, B. (2021). Milk union progress report. Bhopal Sahakari Dugdh Sangh Maryadit. https://www.sanchibhopal.com/report.aspx
  • Satoglu, S. I., & Sahin, I. E. (2013). Design of a just-in-time periodic material supply system for the assembly lines and an application in electronics industry. The International Journal of Advanced Manufacturing Technology, 65(1–4), 319–332. https://doi.org/10.1007/s00170-012-4171-7
  • Vaidyanathan, B. S., Matson, J. O., Miller, D. M., & Matson, I. E. (1999). A capacitated vehicle routing problem for just-in-time delivery. IIE Transactions (Institute of Industrial Engineers), 31(11), 1083–1092. https://doi.org/10.1080/07408179908969909
  • You, Z., & Jaio, Y. (2014). Development and application of milk-run distribution systems in the express industry based on saving algorithm. Mathematical Problems in Engineering, 2014, 1–6. https://doi.org/10.1155/2014/536459