Abstract
The selection of subjects (such as waste stream, process, apparatus, ect.) for improvement and development their alternatives when implementing cleaner production (CP) programs at the company in order to achieve the highest efficiency is a complex and timeconsuming process, especially in case when there are many subjects to be improved, and many alternatives for each subject. The problem in this case is which subject and its respective alternative is to be selected in order to obtain maximal waste reduction objective with minimization cost. To solve this problem, this article proposes an optimization mathematical model to support alternatives selection for CP programs. In this study, an integer programming model is applied for defining theselection steps of alternatives and setting the implementing plan within CP program. The proposed model is investigated in a real case study at a cassava starch factory in Tay Ninh, Vietnam (where is the most concentrated area of cassava processing in the country) with purpose to propose the measures for reduction of greenhouse gases (GHGs) and electricity consumption. The results show that this model can be considered as a new effective method for alternative CP selection and planning for CP implementation, especially in case of many subjects and alternatives. The solution of this model can be generalized to apply in any cases with unlimited number of subjects and alternatives.
Highlights
The successful cleaner production (CP) programs provide many benefits including operating costs reduction, raw material use reduction, waste reduction and risk reduction to humans and the environment, improving health and occupational safety, adaptation to environmental protection regulations
A more important barrier is the discrepancy between people trained as assessors and the number of assessors who are qualified and experienced enough to conduct inplant assessments[3]. Another aspect that may contribute to these problems is that traditional CP only focuses in solutions with attractive financial indices, while not all CP solutions are economically feasible, and some solutions only reduce pollution and bring other benefits
This paper proposes an optimization mathematical model based on goal programming into cleaner production methodology for selecting alternatives with objective to reach pollution reduction goal and to satisfy with available financial sources of the company
Summary
Delai [6]The successful CP programs provide many benefits including operating costs reduction, raw material use reduction, waste reduction and risk reduction to humans and the environment, improving health and occupational safety, adaptation to environmental protection regulations. For alternative selection and planning phases in implementation cleaner production programs, Silva, Delai [6] propose to use GUT matrix and 5W2H tools These tools have the advantage of being easy to use but difficult to apply to multi-subjects and each subject has many alternatives. GP is an effective decision support tool for alternative selection In this context, this paper proposes an optimization mathematical model based on goal programming into cleaner production methodology for selecting alternatives with objective to reach pollution reduction goal and to satisfy with available financial sources of the company
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
