A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster

Computers & Industrial Engineering - Tập 109 - Trang 369-389 - 2017
Marco A. Miranda-Ackerman1,2, Catherine Azzaro-Pantel2, Alberto A. Aguilar-Lasserre3
1CONACYT-El Colegio de Michoacán, Sede La Piedad: Cerro de Nahuatzen 85, Fracc. Jardines del Cerro Grande, C.P. 59370 La Piedad, Michoacán, Mexico
2Laboratoire de Genie Chimique, Université de Toulouse, CNRS, INP, UPS, Toulouse, France
3Tecnológico Nacional de México, Instituto Tecnológico de Orizaba, DEPI, Av. Instituto Tecnológico 852, Col. Emiliano Zapata, 94300 Orizaba, Veracruz, Mexico

Tài liệu tham khảo

Ahumada, 2009, Application of planning models in the agri-food supply chain: A review, European Journal of Operational Research, 196, 1, 10.1016/j.ejor.2008.02.014

Altiparmak, 2009, A steady-state genetic algorithm for multi-product supply chain network design, Computers & Industrial Engineering, Design and Management of Production Systems, 56, 521

Amador, J. R. (2011). Procedures for analysis of citrus products (6th ed.).

Amin, 2013, A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return, Applied Mathematical Modelling, 37, 4165, 10.1016/j.apm.2012.09.039

Apaiah, 2005, Design of a supply chain network for pea-based novel protein foods, Journal of Food Engineering, 70, 383, 10.1016/j.jfoodeng.2004.02.043

Arkeman, Y., & Jong, K. D. (2010). Development of multiobjective genetic algorithms for agri-food supply chain design by considering global climate change [WWW Document]. URL http://repository.ipb.ac.id/handle/123456789/41683 Accessed 10.1.13.

Balda, 2012, Industrial high pressure processing of foods: Review of evolution and emerging trends, Journal of Food Science and Engineering, 2, 543

Beccali, 2009, Resource consumption and environmental impacts of the agrofood sector: Life cycle assessment of italian citrus-based products, Environmental Management, 43, 707, 10.1007/s00267-008-9251-y

Beccali, 2010, Life cycle assessment of Italian citrus-based products. Sensitivity analysis and improvement scenarios, Journal of Environmental Management, 91, 1415, 10.1016/j.jenvman.2010.02.028

Bloemhof, 2015, Sustainability assessment of food chain logistics, International Journal of Logistics Research and Applications, 18, 101, 10.1080/13675567.2015.1015508

Bomben, 1973, Aroma recovery and retention in concentration and drying of foods, Advances in Food Research, 20, 1, 10.1016/S0065-2628(08)60191-3

Brindley, 2014, Aligning the sustainable supply chain to green marketing needs: A case study, Industrial Marketing Management, 43, 45, 10.1016/j.indmarman.2013.08.003

Brookes, 2007, Economic impact assessment of the way in which the EU novel foods regulatory approval procedures affect the EU food sector

Brown, 2004, Impacts on US prices of reducing orange juice tariffs in major world markets, Journal of Food Distribution Research, 35, 26

Cerutti, 2011, A review of studies applying environmental impact assessment methods on fruit production systems, Journal of Environmental Management, 92, 2277, 10.1016/j.jenvman.2011.04.018

Chan, 2012, Green marketing and its impact on supply chain management in industrial markets, Industrial Marketing Management, 41, 557, 10.1016/j.indmarman.2012.04.002

Collette, 2003

Consejo Citrícola Poblano, A. C. (2004). Plan rector del sistema producto naranja: Diagnostico para el estado de Puebla.

Cortez, 2014

Coskun, 2016, A model proposal for green supply chain network design based on consumer segmentation, Journal of Cleaner Production, Special Volume: Improved Resource Efficiency and Cascading Utilisation of Renewable Materials, 110, 149, 10.1016/j.jclepro.2015.02.063

Costa, 2010, A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms, Computers & Industrial Engineering, 59, 986, 10.1016/j.cie.2010.09.011

Curti-Díaz, S. A., Diaz-Zorrilla, U., Loredo-Salazar, X., Sandoval Rincon, J. A., Pastrana Aponte, L., & Rodriguez Cuevas, M. (1998). Manual de produccion de naranja para Veracruz y Tabasco.

Czarnezki, J. J. (2011). The future of food eco-labeling: Organic, carbon footprint, and environmental life-cycle analysis (SSRN Scholarly Paper No. ID 1645860). Rochester, NY: Social Science Research Network.

Deb, 2002, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6, 182, 10.1109/4235.996017

De-León Almaraz, 2013, Assessment of mono and multi-objective optimization to design a hydrogen supply chain, International Journal of Hydrogen Energy, 38, 14121, 10.1016/j.ijhydene.2013.07.059

Dietz, 2006, Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations, Computers & Chemical Engineering, 30, 599, 10.1016/j.compchemeng.2005.10.017

Doublet, G., Jungbluth, N., Flury, K., Stucki, M., & Schori, S. (2013). Life cycle assessment of orange juice. SENSE-Harmonised Environmental Sustainability in the European food and drink chain, Seventh Framework Programme: Project no. 288974. Funded by EC. Deliverable D 2.1 ESU-services Ltd.: Zürich.

Eraslana, 2015, A decision making method via TOPSIS on soft sets, Journal of New Results in Science, 8, 57

Eskandarpour, 2015, Sustainable supply chain network design: An optimization-oriented review, Omega, 54, 11, 10.1016/j.omega.2015.01.006

Farahani, 2014, Competitive supply chain network design: An overview of classifications, models, solution techniques and applications, Omega, 45, 92, 10.1016/j.omega.2013.08.006

Garcia, 2015, Supply chain design and optimization: Challenges and opportunities, Computers & Chemical Engineering, 10.1016/j.compchemeng.2015.03.015

Gomez, 2010, Multiobjective genetic algorithm strategies for electricity production from generation IV nuclear technology, Energy Conversion and Management, 51, 859, 10.1016/j.enconman.2009.11.022

Guillén-Gosálbez, 2009, Optimal design and planning of sustainable chemical supply chains under uncertainty, AIChE Journal, 55, 99, 10.1002/aic.11662

Hugo, 2004, Environmentally conscious process planning under uncertainty

Jolliet, 2010

Kim, 1997, Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement, International Journal of Production Economics, 50, 23, 10.1016/S0925-5273(97)00014-5

Knudsen, 2011, Environmental assessment of organic juice imported to Denmark: A case study on oranges (Citrus sinensis) from Brazil, Organic Agriculture, 1, 167, 10.1007/s13165-011-0014-3

Mathias, M. C., & Cecchi, J. C. (2009). Industria de gas natural en Brasil: Pasado, Presente y Futuro.

Miranda-Ackerman, M. A. (2015). Optimisation multi-objectif pour la gestion et la conception d’une chaine logistique verte: Application au cas de la filière agroalimentaire du jus d’orange [WWW Document]. <http://www.theses.fr>. URL <http://www.theses.fr/s139158> Accessed 01.22.16.

Miranda-Ackerman, 2014, A multi-objective modelling and optimization framework for operations management of a fresh fruit supply chain: A case study on a Mexican Lime Company, 373

Mohammed, 2017, The fuzzy multi-objective distribution planner for a green meat supply chain, International Journal of Production Economics, 184, 47, 10.1016/j.ijpe.2016.11.016

Neves, 2011, Breakdown of the price of orange juice on the retail market, 97

Oelofse, 2010, Certified organic agriculture in China and Brazil: Market accessibility and outcomes following adoption, Ecological Economics, 69, 1785, 10.1016/j.ecolecon.2010.04.016

Pereira, 2010, Environmental impact of novel thermal and non-thermal technologies in food processing, Food Research International, Climate Change and Food Science, 43, 1936

Ren, 2010, Comparative analysis of a novel M-TOPSIS method and TOPSIS, Applied Mathematics Research Express, 10.1093/amrx/abm005

Rousseau, 2013, Green market expansion by reducing information asymmetries: Evidence for labeled organic food products, Food Policy, 40, 31, 10.1016/j.foodpol.2013.01.006

Roy, 2009, A review of life cycle assessment (LCA) on some food products, Journal of Food Engineering, 90, 1, 10.1016/j.jfoodeng.2008.06.016

Ruiz de Maya, 2011, Organic food consumption in Europe: International segmentation based on value system differences, Ecological Economics, 70, 1767, 10.1016/j.ecolecon.2011.04.019

Santoyo-Castelazo, 2011, Life cycle assessment of electricity generation in Mexico, Energy, 36, 1488, 10.1016/j.energy.2011.01.018

Saravacos, 2007

Secretaría de Energía, Mexico, 2012

Seuring, 2008, From a literature review to a conceptual framework for sustainable supply chain management, Journal of Cleaner Production, 16, 1699, 10.1016/j.jclepro.2008.04.020

Sharma, 2017, Green supply chain management related performance indicators in agro industry: A review, Journal of Cleaner Production, 141, 1194, 10.1016/j.jclepro.2016.09.103

Sonesson, 2016, Paths to a sustainable food sector: Integrated design and LCA of future food supply chains: The case of pork production in Sweden, International Journal of Life Cycle Assessment, 21, 664, 10.1007/s11367-015-0969-5

Spitzley, 1997

Srivastava, 2007, Green supply-chain management: A state-of-the-art literature review, International Journal of Management Reviews, 9, 53, 10.1111/j.1468-2370.2007.00202.x

Toepfl, 2006, Review: Potential of high hydrostatic pressure and pulsed electric fields for energy efficient and environmentally friendly food processing, Food Reviews International, 22, 405, 10.1080/87559120600865164

Tukker, 2006, Environmental impacts of products, Journal of Industrial Ecology, 10, 159, 10.1162/jiec.2006.10.3.159

Vermeulen, 2012, Climate change and food systems, Annual Review of Environment and Resources, 37, 195, 10.1146/annurev-environ-020411-130608

Yang, 2008

Yeh, 2011, Using multi-objective genetic algorithm for partner selection in green supply chain problems, Expert Systems with Applications, 38, 4244, 10.1016/j.eswa.2010.09.091

Zanakis, 1998, Multi-attribute decision making: A simulation comparison of select methods, European Journal of Operational Research, 107, 507, 10.1016/S0377-2217(97)00147-1

Zhang, 2014, Sustainable supply chain optimisation: An industrial case study, Computers & Industrial Engineering, 74, 68, 10.1016/j.cie.2014.05.002

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Computers & Industrial Engineering

Tập 109

369-389

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