Abstract
In this paper, a multi-objective linear programming model was developed which sought to simultaneously optimize total costs and total GHG emissions for the Thai Rubber supply chain. The model was s...
Highlights
Environmental pollution and global climate change have emerged as one of the major challenges of the twenty-first century with governments worldwide racing to curb their countries’ environ mental impacts
Pareto optimal solution The Pareto set of solutions for minimizing costs and GHG emissions is illustrated in Figure 3 (See Table C1 in the appendix for the corresponding table of the Pareto set of solutions)
Each point in the Pareto set entails a specific quantity of rubber product flow between the supply chain entities and the transportation modes and routes
Summary
Environmental pollution and global climate change have emerged as one of the major challenges of the twenty-first century with governments worldwide racing to curb their countries’ environ mental impacts. This was evident in the recent Paris climate deal where more than 200 countries formally signed an agreement to do this (Salawitch et al, 2017). Industries around the world are looking at options to meet the market demand in a more environmentally responsible way (Dayaratne & Gunawardana, 2015; Habib et al, 2020). There have been few efforts to tackle its negative environmental impacts (Jawjit et al, 2015)
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