Green food supply chain design considering risk and post-harvest losses: a case study
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Green food supply chain design considering risk and post‑harvest losses: a case study D. G. Mogale1 · Sri Krishna Kumar2 · Manoj Kumar Tiwari2,3
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The global food insecurity, malnourishment and rising world hunger are the major hindrances in accomplishing the zero hunger sustainable development goal by 2030. Due to the continuous increment of wheat production in the past few decades, India received the second rank in the global wheat production after China. However, storage capacity has not been expanded with similar extent. The administrative bodies in India are constructing several capacitated silos in major geographically widespread producing and consuming states to curtail this gap. This paper presents a multi-period single objective mathematical model to support their decision-making process. The model minimizes the silo establishment, transportation, food grain loss, inventory holding, carbon emission, and risk penalty costs. The proposed model is solved using the variant of the particle swarm optimization combined with global, local and near neighbor social structures along with traditional PSO. The solutions obtained through two metaheuristic algorithms are compared with the optimal solutions. The impact of supply, demand and capacity of silos on the model solution is investigated through sensitivity analysis. Finally, some actionable theoretical and managerial implications are discussed after analysing the obtained results. Keywords Food grain supply chain · Food security · Transportation · Inventory · Particle swarm optimization
* Manoj Kumar Tiwari [email protected] D. G. Mogale [email protected] Sri Krishna Kumar [email protected] 1
Logistics and Operations Management, Cardiff Business School, Cardiff University, Cardiff, UK
2
Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721 302, India
3
National Institute of Industrial Engineering (NITIE), Mumbai, India
13
Vol.:(0123456789)
Annals of Operations Research
1 Introduction and motivation The global food security is a major policy concern due to the rising worldwide population, climate change and increasing food demand (Ge et al. 2018; Kaur 2019; Maiyar and Thakkar 2019; Nicholson et al. 2011). The third of total arable land on this planet has lost in the past 40 years (Milman 2015) and only 12 percent land across the globe is cultivated (Sheane et al. 2018). Additionally, the post-harvest loss is one of the vital factors which greatly impacts global food security (An and Ouyang 2016; Kiil et al. 2018; Krishnan et al. 2020; Raut et al. 2018). The annual loss of around 1.3 billion tons closely one-third of the total food produced in the world raises the pressure on global food security (Gustavsson et al. 2011). The monetary value of the food loss and waste in the developed and developing nations are nearly USD 680 billion and 310 billion respectively (FAO 2011). Close t
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