Abstract
Smart manufacturing systems should always aim to be fully sustainable while simultaneously being as reliable as possible which is difficult to reach. Furthermore, climate change especially by carbon emission in the industry is a significant topic and carbon emission should be controlled and reduced to save the environment. Contributing towards a greener environment in a positive manner is done by reducing the number of insufficient items that are produced in a smart production system which also can be reached with higher reliability in the system. Therefore, this study models a smart reliable production system with controlled carbon ejection. To solve the proposed smart production system in this study, a geometric programming approach with a degree of difficulty level two is used which results in optimum results that are quasi-closed. Furthermore, numerical experiments are conducted to validate the proposed model and prove that by using a higher degree geometric programming approach, an optimal solution is found. The numerical results do not only show optimal solutions but also that the smart production system with controlled carbon ejection is reliable.
Highlights
Smart production systems should always aim to reduce waste and be as environmentally friendly as possible
Using the geometric programming approach, which this study proves can be done with a second degree of difficulty, the industrial manager can find the total expenditure before finding the optimum values of decision variables
The model of this study considers a smart production system with controlled carbon ejection that is sustainable
Summary
Smart production systems should always aim to reduce waste and be as environmentally friendly as possible. A positive contribution towards a greener environment in a smart production system may be inter alia gained by reducing the amount of waste that the manufacturing system is producing as well as controlling the carbon emission ejection. The degree of difficulty in the GP approach in the proposed reliable smart production system of this study equals two which indicates that there are many solutions. This study is structured as follows: Section 2 covers the reviewed literature and Section 3 explains the complete model development of the smart reliable production system with managed carbon ejection.
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