The multi-objective optimization model in supply continuum regarding effects of greenhouse gases
Journal Title: Journal of Science and today’s world - Year 2016, Vol 5, Issue 3
Abstract
Globalization, increasing of governmental and non- governmental organizations regulations and pressure and demand of customers regarding observation of environmental issues has caused organizations to study required measurements for utilization of green supply continuum management (GSCM) in order to optimize their economic and environmental performance. Green supply continuum management is adapting the organizations supply continuum operation with environmental requirements in all stages of designing the product, selection and supplying of first materials , production and manufacturing, distribution and transfer processes , delivering to the customer and finally after consumption, recycling management and reuse in order to maximizing efficiency and functions improvement. The present study examines the role and impact of green supply continuum components in productive centers and the method used in it is comparative studies and utilizing library sources and valid scientific electronic networks which have finally led to problem solving by math modeling. Also, this project is seeking to find a suitable answer for this question that what is the impact of observation of environmental and nature applicative requirements in the organizations supply continuum network on their performance outcomes improvement and finally it is concluded that green supply network due to enjoyment from some guideline advantages like adaptability with nature, reduction of secondary costs and exertion of innovation in productions manufacturing ( distinction strategy) is treated as successful guidelines in the present century. Then, it is suggested that organizations and institutions inside the country endeavor more seriously to establish green supply continuum components in their productive cycle for enjoying its advantages.
Authors and Affiliations
Elham Mirza Hosseini pour Ranjbar, Naser shahsavari pour
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