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The present paper addresses a novel two-echelon multi-product Location-Allocation-Routing problem (LARP). It also considers the integration of issues such as disruption, environmental pollution, and energy-efficient vehicles as currently critical issues in a Supply Chain Network (SCN) that includes production plants, central warehouses, and retailers. The aim of this study is to minimize the total cost, which involves costs related to the establishment, shipment processes, environmental pollution, travelling, vehicle usage, and fuel consumption, in a way to cover the total demand of retailers. The problem is NP-hard; thus, to solve it approximately, we developed Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO) algorithms. The numerical analysis showed that the proposed algorithms yielded high-quality results in a short computational time where the average gaps of GWO and PSO against CPLEX are 0.78% and 0.9%, respectively. Then, a case study of a dairy factory in Iran is conducted to evaluate the applicability of the proposed methodology and find the optimal policy. Finally, a set of sensitivity analyses is carried out to suggest managerial insights and decision aids. [ABSTRACT FROM AUTHOR]

Energy is one of the most important influential factors on economic growth. In recent decades, upward trend of energy consumption has caused many concerns about decrease in energy source and increase in pollution and global warming. Iran as one of the greatest oil and natural gas exporters with high consumption of gas, oil and electricity faces with pollution problems in cities and hence the necessity of a plan to decrease the energy consumption. In this paper, we study demand of energy consumption and predict consumption of diverse kinds of energy during 2010-2018. In this regard, by adopting Bayesian approach and with concern to data of 1970-2009, we forecast the trends of energy consumption. The result showed that during recent years, up to the average growth rate of energy consumption is equal to 1.8 per cent. The slower growth of energy consumption leads to a slower economic growth and in turn, causes a decline in energy consumption due to the structural changes in the Iran economy. [ABSTRACT FROM AUTHOR]