2013
DOI: 10.1080/16258312.2013.11517314
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Linear Model for Supply Chain Operational Planning and Carbon Footprint Optimization

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Cited by 4 publications
(3 citation statements)
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“…These results align with observations in practice (Carbone and Moatti 2008). For example, many articles have appeared that suggest optimising operational decisions across the supply chain, as exemplified by the growth of studies of carbon emissions that rely on inventory models (e.g., Absi et al 2016;Bouchery et al 2012;Chen, Benjaafar, and Elomri 2013;Gautier et al 2013;Konur and Schaefer 2016).…”
Section: Literature Reviewsupporting
confidence: 76%
“…These results align with observations in practice (Carbone and Moatti 2008). For example, many articles have appeared that suggest optimising operational decisions across the supply chain, as exemplified by the growth of studies of carbon emissions that rely on inventory models (e.g., Absi et al 2016;Bouchery et al 2012;Chen, Benjaafar, and Elomri 2013;Gautier et al 2013;Konur and Schaefer 2016).…”
Section: Literature Reviewsupporting
confidence: 76%
“…The weighted normalized decision matrix vij can be calculated by multiplying the normalized evaluation matrix ̅ by its associated weight wi to obtain the result: vij = wi * ̅ with : i=1,2, 3,….n (2) and j=1,2, 3,….m ;…”
Section: Topsis Methodsmentioning
confidence: 99%
“…The objective function (1) maximizes the amount Qj of raw material to be transformed during each of the six processes in order to minimize the energy consumed and the amount of water consumed. Constraints (2) and (6) ensure that the energy consumed by each process for the transformation of the quantity Qj of raw material versus the total energy consumed is satisfied. Constraint (3) limits the available backing capacity.…”
Section: ( ) = ∑ =1mentioning
confidence: 99%