2017
DOI: 10.1007/s10098-017-1373-6
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Incorporating linear programing and life cycle thinking into environmental sustainability decision-making: a case study on anchovy canning industry

Abstract: Life Cycle Assessment (LCA) is a powerful tool to support environmental informed decisions among product and process alternatives. LCA results reflect the process stage contributions to several environmental impacts, which should be made mutually comparable to help in the decision-making process. Aggregated environmental indexes enable the translation of this set of metrics into a one final score, by defining the attached weights to impacts. Weighting values reflect the corresponding relevance assigned to each… Show more

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Cited by 20 publications
(5 citation statements)
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References 39 publications
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“…The energy demand of anchovy processing makes it important to include this impact category in the assessment. In fact, energy consumption, mainly in the production of primary packaging, has been reported as one of the main contributors to GWP in European anchovy LCA (Laso et al 2016a;Laso et al 2017a;García-Herrero et al 2017).…”
Section: Resultsmentioning
confidence: 99%
“…The energy demand of anchovy processing makes it important to include this impact category in the assessment. In fact, energy consumption, mainly in the production of primary packaging, has been reported as one of the main contributors to GWP in European anchovy LCA (Laso et al 2016a;Laso et al 2017a;García-Herrero et al 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Authors in (Garcia-Herrero et al, 2017) only focused on the environmental dimension of sustainability and combined LCA and Linear Programming to reach higher level of sustainability in production. By employing LCA and using the environmental sustainability assessment (ESA), the authors meant to obtain two main indices of natural resources (NR) and environmental burdens (EB).…”
Section: Methodologies and Toolsmentioning
confidence: 99%
“…A brief description of each category is brought in the following as well as the statistics of the papers covering the three category is shown in table 1 and figure 3. (Lillehagen & Petersen, 2015); (Caruso, Dumbacher, & Grieves, 2010); (Tagliaferri et al, 2016); (Atwater & Uzdzinski, 2014); (Garcia-Herrero et al, 2017); (Haanstra, Toxopeus, & van Gerrevink, 2017); (Jayal, Badurdeen, Dillon, & Jawahir, 2010); (Jawahir et al, 2006); (Gutowski et al, 2005); (Güçdemir & Selim, 2017); ; (Santucci & Esterman, 2015); (Rezvan, Azadnia, Noordin, & Seyedi, 2014); (Shin & Colwill, 2017); (Mani, Larborn, Johansson, Lyons, & Morris, 2016); (Haapala et al, 2013); (AlKhazraji, Saldana, Donghuan, & Kumara, 2013); (Hassan, Saman, Mahmood, Nor, & Rahman, 2016); (Huang & Badurdeen, 2017); (Lu et al, 2011); (Ranky, 2010); (Li, Mirlekar, Ruiz-Mercado, & Lima, 2016); (Bakshi, 2014); (Grünwaldt, Hofstetter, & Palm, 2011); (Shi & Yang, 2003); (Petnga & Austin, 2014); (Faezipour & Ferreira, 2011); (Salama, Galal, & Elsayed, 2015);…”
Section: Sustainable Manufacturing Grouping (Systems)mentioning
confidence: 99%
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“…Many attempts to obtain the appropriate environmental sustainability index have been made over the years. Literature provides a comprehensive background of references that aggregate different environmental indicators to obtain an integrated index that can easily be used to compare different scenarios. However, there is not yet one indicator that could catch the various environmental effects of anthropogenic activities and be considered as the “golden standard” . Moreover, developing a novel monetized index, which can also be combined with economic objectives, is of major interest.…”
Section: Introductionmentioning
confidence: 99%