A Mathematical Model for Energy Management in a Clothing Supply Chain

This paper proposes a planning approach that integrates two levels of decision-making (strategic/tactical), using a mixed integer non-linear programming (MINLP) model. This model is designed to minimize costs in a supply chain process. It takes into account the management of several actors, the integration of several sources of energy, fuel consumption and the control of travel speeds during transport operations. This model could be used as a decision support tool to assess and control the effects of carbon emissions in a global supply chain. The model is an extension of the model proposed in [1], with a new contribution to the integration of energy aspects and vehicle speed control. The approach is tested on a real case from the literature taken from the textile and clothing industry. The results show that, considering the control of vehicle speed, the type of fuel, the energy used, and the carbon tax would significantly influence the economic and environmental activities of an industry.