Designing a close-loop green supply chain with consideration of demand forecasting for 3d printer products
Subject Areas : Industrial Management
Farideh Etemadifard
1
*
,
Amirreza Ahmadi Keshazarz
2
,
Fereshte Khalaj
3
1 - M.A student in Industrial Engineering, Electronics Unit, Islamic Azad University, Tehran, Iran.
2 - Assistant Professor, Industrial Engineering Department, Parand Branch, Islamic Azad University, Tehran, Iran.
3 - Assistant Professor, Industrial Engineering Department, Robat Karim Branch, Islamic Azad University, Tehran, Iran.
Keywords: Close loop, demand forecasting, green supply chain, 3d printer,
Abstract :
Abstract
This research focuses on designing and optimizing a Green Closed-Loop Supply Chain (CLSC) for 3D printer products, incorporating demand forecasting. The proposed network architecture comprises eight levels: 3D Printer Centers (DPC), Treatment Centers (TC), Recycling Centers (RC), Filament Customers (FC), Processing Centers (PC), Collection Centers (CC), markets, and end users. The goal is to utilize recycled PET bottles for filament production, thereby reducing costs and minimizing environmental pollution. To optimize this network, a mathematical model based on Mixed Integer Linear Programming (MILP) has been developed. The model aims to minimize total costs, including fixed expenses, transportation, and carbon emissions. It employs a multi-scenario approach to address demand uncertainty, assigning specific probabilities to each scenario. The model constraints cover capacity limitations, flow balance, allocation, and network node connections. Given the complexity of the problem, metaheuristic algorithms such as Genetic Algorithm (GA) and Simulated Annealing (SA) were used to find solutions. The chromosome encoding combines binary segments for facility location and allocation decisions with continuous segments for material flows. Results demonstrate that this approach effectively reduces overall supply chain costs while achieving environmental objectives through PET bottle recycling. This applied and developmental research offers a practical solution for sustainable supply chain management within the 3D printing industry, significantly lowering filament production costs and enhancing the industry's environmental performance.
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