Vehicles allocation for fruit distribution considering CO2 emissions and decisions on subcontracting

Sustainability (Switzerland)

Volumn 10, Issue 7, 2018, Pages

  Tordecilla Madera, Rafael ^a   Polo, Andrés ^a   Cañón, Adrián ^b  

^a Business School   (Colombia)

^b UNIVERSIDAD EAN   (Colombia)

Author keywords

constraint method; CO2 emissions; Fruits supply chain; Perishable food transportation

Indexed keywords

CARBON EMISSION; COST ANALYSIS; DECISION MAKING; ENVIRONMENTAL ECONOMICS; FOOD SUPPLY; LINEAR PROGRAMING; NUMERICAL METHOD; RURAL AREA; SPATIAL DISTRIBUTION; SUBCONTRACTING; SUPPLY CHAIN MANAGEMENT; TRADE-ENVIRONMENT RELATIONS; TRAFFIC EMISSION; TRANSPORTATION SYSTEM;

COLOMBIA;

EID: 85049985062     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su10072449     Document Type: Article

References (58)

1. Musavi, M.; Bozorgi-Amiri, A. A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Comput. Ind. Eng. 2017, 113, 766-778
2. Liu, Y.; Fang, W.; Jingyun, Z. Estimation of Greenhouse Gas Emissions from the EU, US, China, and India up to 2060 in Comparison with Their Pledges under the Paris Agreement. Sustainability 2017, 9, 1587
3. Behzadi, G.; Sullivan, M.J.O.; Olsen, T.L.; Zhang, A. Agribusiness supply chain risk management: A review of quantitative decision models. Omega 2018, 79, 21-42
4. Morioka, S.N.; Evans, S.; de Carvalho, M.M. Sustainable business model innovation: Exploring evidences in sustainability reporting. Procedia CIRP 2016, 40, 659-667
5. 2 emissions. Int. J. Serv. Oper. Manag. in press
6. 2 emissions. J. Clean. Prod. 2018, 182, 1001-1011
7. Wang, Z.X. A predictive analysis of clean energy consumption, economic growth and environmental regulation in China using an optimized grey dynamic model. Comput. Econ. 2015, 46, 1-17
8. Marchi, B.; Zanoni, S. Supply Chain Management for Improved Energy Efficiency: Review and Opportunities. Energies 2017, 10, 1618
9. 2/CH4/diesel blends in a Swirl Burner Generator. Energy Procedia 2017, 142, 154-159
10. Dente, S.M.R.; Tavasszy, L. Policy oriented emission factors for road freight transport. Transp. Res. Part D Transp. Environ. 2018, 61, 33-41
11. Srivastava, S.K. Green supply-chain management: A state-of the-art literature review. Int. J. Manag. Rev. 2007, 9, 53-80
12. Cosimato, S.; Troisi, S. Green supply chain management: Practices and tools for logistics competitiveness and sustainability. The DHL case study. TQM J. 2015, 27, 256-276
13. Liu, L.; Liu, X.; Liu, G. The risk management of perishable supply chain based on coloured Petri Net modeling. Inf. Process. Agric. 2018, 5, 47-59
14. Guo, H.; Liu, Y.; Chang, W.; Shao, Y.; Sun, C. Energy Saving and Carbon Reduction in the Operation Stage of Cross Laminated Timber Residential Buildings in China. Sustainability 2017, 9, 292
15. Piecyk, M.I.;McKinnon, A.C. Forecasting the carbon footprint of road freight transport in 2020. Int. J. Prod. Econ. 2010, 128, 31-42
16. Wang, S.; Tao, F.; Shi, Y.;Wen, H. Optimization of Vehicle Routing Problem with TimeWindows for Cold Chain Logistics Based on Carbon Tax. Sustainability 2017, 9, 694
17. Dubey, R.; Gunasekaran, A.; Papadopoulos, T.; Childe, S.J.; Shibin, K.T.;Wamba, S.F. Sustainable supply chain management: Framework and further research directions. J. Clean. Prod. 2017, 142, 1119-1130
18. Wang, Q.; Zhao, D.; He, L. Contracting emission reduction for supply chains considering market low-carbon preference. J. Clean. Prod. 2016, 120, 72-84
19. León-Bravo, V.; Caniato, F.; Caridi, M.; Johnsen, T. Collaboration for Sustainability in the Food Supply Chain: A Multi-Stage Study in Italy. Sustainability 2017, 9, 1253
20. Bourlakis, M.; Maglaras, G.; Aktas, E.; Gallear, D.; Fotopoulos, C. Firm size and sustainable performance in food supply chains: Insights from Greek SMEs. Int. J. Prod. Econ. 2014, 152, 112-130
21. Pullman, M.E.; Maloni, M.J.; Carter, C.R. Food for thought: Social versus environmental sustainability practices and performance outcomes. J. Supply Chain Manag. 2009, 45, 38-54
22. Govindan, K.; Jafarian, A.; Khodaverdi, R.; Devika, K. Two-echelon multiple-vehicle location-Routing problem with time windows for optimization of sustainable supply chain network of perishable food. Int. J. Prod. Econ. 2014, 152, 9-28
23. Acciones de Adaptación al Cambio Climático en Colombia. Tercera Comunicación Nacional de Cambio Climático. Report by IDEAM, PNUD, MADS, DNP, CANCILLERíA, FMAM. Bogotá, D.C., 2017. Available online: http://documentacion.ideam.gov.co/openbiblio/bvirtual/023734/ACCIONES_DE_ ADAPTACION_CC.pdf (accessed on 5 May 2018)
24. Zubelzu-Mínguez, S.; López-Díaz, A.I.; Gutiérrez-García, M.A.; Blanco-Silva, F. Modelo de cálculo de las emisiones difusas de gases de efecto invernadero procedentes del transporte. Análisis según variables de diseño urbanístico. Rev. Fac. Ing. 2014, 1, 200-213
25. Paredes, A.M.; Salazar, A.F. Visión sistémica del análisis de la flexibilidad en cadenas de suministro de productos perecederos. Sist. Telemát. 2014, 12, 63-86
26. 2 Emissions in the BRICS Countries: A Panel Data Analysis. Procedia Econ. Financ. 2015, 26, 114-125
27. Helgesen, P.I.; Lind, A.; Ivanova, O.; Tomasgard, A. Using a hybrid hard-linked model to analyze reduced climate gas emissions from transport. Energy 2018, 156, 196-212
28. Piramuthu, S.; Zhou, W. RFID and perishable inventory management with shelf-space and freshness dependent demand. Int. J. Prod. Econ. 2013, 144, 635-640
29. Piramuthu, S.; Farahani, P.; Grunow, M. RFID-generated traceability for contaminated product recall in perishable food supply networks. Eur. J. Oper. Res. 2013, 225, 253-262
30. Jedermann, R.; Nicometo, M.; Uysal, I.; Lang, W. Reducing food losses by intelligent food logistics. Philos. Trans. R. Soc. A 2015, 372, 20130302
31. Dulebenets, M.A.; Ozguven, E.E.; Moses, R.; Ulak, M.E. Intermodal Freight Network Design for Transport of Perishable Products. Open J. Optim. 2016, 5, 120-139
32. Aung, M.M.; Chang, Y.S. Temperature management for the quality assurance of a perishable food supply chain. Food Control 2014, 40, 198-207
33. Accorsi, R.; Gallo, A.; Manzini, R. A climate driven decision-support model for the distribution of perishable products. J. Clean. Prod. 2017, 165, 917-929
34. Yang, L.; Ji, J.; Wang, M.; Wang, Z. The manufacturer's joint decisions of channel selections and carbon emission reductions under the cap-and-trade regulation. J. Clean. Prod. 2018, 193, 506-523
35. Aljazzar, S.M.; Gurtu, A.; Jaber, M. Delay-in-payments-A strategy to reduce carbon emissions from supply chains. J. Clean. Prod. 2017, 170, 636-644
36. Bouchery, Y.; Ghaffari, A.; Jemai, Z.; Tan, T. Impact of coordination on costs and carbon emissions for a two-echelon serial economic order quantity problema. Eur. J. Oper. Res. 2017, 260, 520-533
37. Arcos, C.A.; Mosquera, S.A.; Villada, D.C. Evaluación de rutas para el transporte de productos perecederos en el sector rural. Fac. Cienc. Agropecu. 2008, 6, 40-46
38. Eitzinger, A.; Läderach, P.; Bunn, C.; Pantoja, A.; Gordon, J.; Bruni, M. Implications of a changing climate on food security and smallholders' livelihoods in Bogotá, Colombia. Mitig. Adapt. Strateg. Glob. Chang. 2014, 19, 161-176
39. Reynolds, C.C.; Escobedo, F.J.; Clerici, N.; Zea-Camaño, J. Does 'Greening' of Neotropical Cities Considerably Mitigate Carbon Dioxide Emissions? The Case of Medellin, Colombia. Sustainability 2017, 9, 785
40. Reina, M.L.; Adarme, W. Logística de distribución de productos perecederos: Estudios de caso Fuente de Oro (Meta) y Viotá (Cundinamarca). Rev. Colomb. Cienc. Hortíc. 2014, 8, 80-91
41. BMUB. Sixth National Communication under the United Nations Framework Convention on Climate Change; Report by the German Federal Government; Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety: Berlin, Germany, 2013
42. Cuellar, Y.; Buitrago-Tello, R.; Belalcazar-Ceron, L.C. Life Cycle emissions from a bus rapid transit system and comparison with other modes of passanger transportation. CT&F Cienc. Tecnol. Futur. 2016, 6, 123-134
43. 2 desde la perspectiva de la demanda de transporte en Medellín. Rev. Transp. Territ. 2016, 15, 302-322
44. 2 emissions changes in Colombia (1990-2012) and its political implications. Renew. Energy 2018, 116, 402-411
45. Valenzuela, M.M.; Espinosa, M.; Virgüez, E.A.; Behrentz, E. Uncertainty of greenhouse gas emission models: A case in Colombia's transport sector. Transp. Res. Procedia 2017, 25, 4606-4622
46. Zhang, Y.; Sun, Y.; Huang, J. Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment. Energy Policy 2018, 115, 119-130
47. Cardenas, L.M.; Franco, C.J.; Dyner, I. Assessing emissions e mitigation energy policy under integrated supply and demand analysis: The Colombian case. J. Clean. Prod. 2016, 112, 3759-3773
48. Sánchez-Zamora, P.; Gallardo-Cobos, R.; Romero-Huertas, C. Geoforum Assessing the determinants of territorial cohesion: Evidence from Colombian departments. Geoforum 2017, 87, 48-61
49. Levidow, L.; Psarikidou, K. Food relocalization for environmental sustainability in Cumbria. Sustainability 2011, 3, 692-719
50. Soysal, M.; Bloemhof-Ruwaard, J.M.; Haijema, R.; Van Der Vorst, J.G.A.J. Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty. Int. J. Prod. Econ. 2015, 164, 118-133
51. Volpe, R.; Messineo, S.; Volpe, M.; Messineo, A. Carbon footprint of tree nuts based consumer products. Sustainability 2015, 7, 14917-14934
52. Yang, S.; Xiao, Y.; Zheng, Y.; Liu, Y. The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control. Sustainability 2017, 9, 1511
53. Gallo, A.; Accorsi, R.; Baruffaldi, G.; Manzini, R. Designing sustainable cold chains for long-range food distribution: Energy-effective corridors on the Silk Road Belt. Sustainability 2017, 9, 2044
54. Soysal, M.; Van Der Vorst, J.G.A.J. Modelling food logistics networks with emission considerations: The case of an international beef supply chain. Int. J. Prod. Econ. 2014, 152, 57-70
55. Validi, S.; Bhattacharya, A.; Byrne, P.J. A case analysis of a sustainable food supply chain distribution system-A multi-objective approach. Int. J. Prod. Econ. 2014, 152, 71-87
56. Bortolini, M.; Faccio, M.; Ferrari, E.; Gamberi, M.; Pilati, F. Fresh food sustainable distribution: Cost, delivery time and carbon footprint three-objective optimization. J. Food Eng. 2016, 174, 56-67
57. Soysal, M.; Bloemhof-ruwaard, J.M.; Haijema, R.; Van Der Vorst, J.G.A.J. Modeling a green inventory routing problem for perishable products with horizontal collaboration. Comput. Oper. Res. 2018, 89, 168-182
58. Li, H.C. Optimal delivery strategies considering carbon emissions, time-dependent demands and demand-supply interactions. Eur. J. Oper. Res. 2015, 241, 739-748