Multi objective optimization of a green supply chain model
Nouran Ibrahim Mohamed Ibrahim;
Abstract
The globe is now-a-days concerned with the impact of environmentally polluting industries which may affect drastically the health of people. The social aspects are also of a great concern to achieve stability in societies. As a result, developed countries have set firm regulations for industrial activities to minimize environmental and social damage due to polluting activities. Due to these facts, various researches in the industrial fields are directed in an attempt to reach industrial solutions that besides maximizing the profit; it maintains acceptable environmental and social levels.
In this research, a multi echelon multi product single facility reversed paper manufacturing supply chain is modelled and optimized for sustainability. The behaviour and performance of the supply chain is studied for several parameters and different supply chain designs.
The proposed supply chain in the present work is assumed to be of a reversed type where waste paper is collected from the market from different sources. The quantities of needed waste paper are used for paper manufacturing and the excess quantities may be sold to other facilities with profit. Unrecyclable waste materials are spent either by landfilling or incineration. The manufacturing facility produces three different types of paper of different qualities. The paper is manufactured either entirely from virgin pulp or entirely from recycled waste paper pulp or of a mixture of both.
The study of supply chain sustainability considers marginal profit, environmental impact and social aspects as represented by the number of generated job opportunities. The present study considers the optimization of the marginal profit as a single objective after which the obtained results are compared to that obtained from optimizing for sustainability (i.e. marginal profit, environmental impact and social aspect). The research is extended to study the effect of a number of supply chain drivers such as plant capacity, material mix on supply chain performance. Each of these drivers can be developed and managed to emphasize responsiveness or efficiency depending on the business requirements.
Linear programming was used to optimize the supply chain for maximum marginal profit. The linear programming problem was solved using excel solver. Multi-objective optimization for sustainability was made using NIMBUS software which uses interactive optimization.
In this research, a multi echelon multi product single facility reversed paper manufacturing supply chain is modelled and optimized for sustainability. The behaviour and performance of the supply chain is studied for several parameters and different supply chain designs.
The proposed supply chain in the present work is assumed to be of a reversed type where waste paper is collected from the market from different sources. The quantities of needed waste paper are used for paper manufacturing and the excess quantities may be sold to other facilities with profit. Unrecyclable waste materials are spent either by landfilling or incineration. The manufacturing facility produces three different types of paper of different qualities. The paper is manufactured either entirely from virgin pulp or entirely from recycled waste paper pulp or of a mixture of both.
The study of supply chain sustainability considers marginal profit, environmental impact and social aspects as represented by the number of generated job opportunities. The present study considers the optimization of the marginal profit as a single objective after which the obtained results are compared to that obtained from optimizing for sustainability (i.e. marginal profit, environmental impact and social aspect). The research is extended to study the effect of a number of supply chain drivers such as plant capacity, material mix on supply chain performance. Each of these drivers can be developed and managed to emphasize responsiveness or efficiency depending on the business requirements.
Linear programming was used to optimize the supply chain for maximum marginal profit. The linear programming problem was solved using excel solver. Multi-objective optimization for sustainability was made using NIMBUS software which uses interactive optimization.
Other data
| Title | Multi objective optimization of a green supply chain model | Authors | Nouran Ibrahim Mohamed Ibrahim | Issue Date | 2017 |
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