A Sustainable Microgrid-oriented Energy Supplied Cement Supply Chain: A Bi-Objective Robust Fuzzy Programming Approach

Balancing the logistics of raw material procurement, manufacturing operations, and product distribution within the constraints of a microgrid-powered environment are among the main optimization challenges of cement supply chains. This study develops a bi-objective robust fuzzy Mixed-Integer Linear Programming (MILP) model to design a microgrid-based cement supply chain network under pervasive uncertainty. Electrical energy demand plays a key role in the cement industry which is addressed through local energy resources in the microgrid structure of the suggested network in this work. To address the significance of sustainability in the problem, the objectives are to respectively maximize the total profit made by the operations in the cement supply chain network and minimize the total dust of the cement supply chain resulting from the operations, which are then treated using the Weighted Sum Method (WSM). An illustrative example is then investigated to demonstrate the applicability, validity and complexity of the developed model. Accordingly, a set of sensitivity analyses on the cement supply chain key parameters along with uncertainty parameters is conducted to render useful managerial perspectives and tools for decision-making. It is revealed that our methodology is able to design and plan the microgrid-based cement supply chain in less than 2 seconds.