Smart logistics and supply chain networks for green biomasses
Vahdanjoo, Mahdi (2017)
Julkaisun pysyvä osoite on
A mixed-integer nonlinear programing model with three objective functions was developed in order to better estimate the costs regarding biomass logistics, environmental impacts and energy consumption throughout the system. The overall purpose was to minimize the costs, environmental impacts and energy usage associated with all steps of biomass production and transportation from source site to biorefinery. A mathematical formulation of the problem was elaborated. The results from optimization model was set as input to the simulation model in order to gain the operation’s schedule for different farm activities. An interface form was also provided to collect input data from user and integrates the simulation and optimization models. The biomass production uncertainties regarding the changes in prevailing weather condition and fluctuation in the moisture content of biomass was addressed by formulating the scenario-based models. The multi-objective optimization model was coded in LINGO software and solved by applying fuzzy program method. The simulation model was implemented in the ARENA software and the tool’s interface was coded by VBA in Microsoft Excel.