Abstract

Bioenergy is attracting more attention worldwide due to its environmental and economic benefits. The design of a feasible biodiesel supply chain network can effectively improve the production and use of biodiesel and then further promote the development of the biodiesel industry. As an easy recyclable material with high yield, kitchen waste has a good prospect and can solve public health and safety problems. This paper takes the kitchen waste producing biodiesel as the object to design and optimize the biodiesel supply chain in order to improve the sustainable development of biodiesel industry and the operational efficiency of the biodiesel supply chain. By designing a sustainable biodiesel supply chain model under defined conditions, it proposes strategic and tactical decisions related to location, production, inventory, and distribution within multiple planning cycles. In order to effectively solve the model, a Pareto optimal NSGAII heuristic algorithm is proposed and applied to a practical case study of restaurants in Jiangsu Province. The efficiency of the method and the optimal solution are verified by a case study. The overall optimization of biodiesel supply can effectively improve the efficiency of supply chain, reduce system cost, improve the profit of biodiesel operators, and promote the sustainable development of biodiesel industry, which has important guiding significance and reference value for the practice of biodiesel supply chain network planning.

Highlights

  • Nowadays, food wasting is becoming a common problem of global resources and environment

  • With the economic growth and the improvement of residents’ consumption level, people’s consumption of food and beverage is increasing day by day, which brings about the rapid growth of kitchen waste

  • The annual output of kitchen waste in China was more than 120 million tons, with an average daily output of 27.4 t/day [3]

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Summary

Introduction

Food wasting is becoming a common problem of global resources and environment. The annual output of kitchen waste in China was more than 120 million tons, with an average daily output of 27.4 t/day [3]. E Chinese government highly supports the development of the biodiesel industry with kitchen waste as the raw material. In the development policy of the biodiesel industry (2015), it clearly states that kitchen waste should become the main raw material of biodiesel, and its supply chain needs effective design to improve the overall operational efficiency. Optimal design of the kitchen waste supply chain has great social significance. Is paper is to study the modeling, solution, and application of biodiesel supply chain in the determination environment. Considering sustainability, a mixed integer linear programming model is constructed to solve three optimization problems of economic objectives, environmental objectives, and social objectives in the biodiesel supply chain. In terms of application and analysis, this paper conducts a case study based on the actual data of Jiangsu Province in order to illustrate the potential use of the model and the decisionmaking solutions in the real environment

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