Open Access
RAIRO-Oper. Res.
Volume 56, Number 3, May-June 2022
Page(s) 1119 - 1147
Published online 12 May 2022
  • A. Abad and S. Pasandideh, Green closed-loop supply chain network design: a novel bi-objective chance-constraint approach. RAIRO-Oper. Res. 55 (2021) 811. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • R. Accorsi, S. Cholette, R. Manzini, C. Pini and S. Penazzi, The land-network problem: ecosystem carbon balance in planning sustainable agro-food supply chains. J. Cleaner Prod. 112 (2016) 158–171. [CrossRef] [Google Scholar]
  • O. Adekomaya, T. Jamiru, R. Sadiku and Z. Huan, Sustaining the shelf life of fresh food in cold chain – a burden on the environment. Alexandria Eng. J. 55 (2016) 1359–1365. [CrossRef] [Google Scholar]
  • W. Ahmed, M. Moazzam, B. Sarkar and S.U. Rehman, Synergic effect of reworking for imperfect quality items with the integration of multi-period delay-in-payment and partial backordering in global supply chains. Engineering 7 (2021) 260–271. [CrossRef] [MathSciNet] [Google Scholar]
  • O. Ahumada and J.R. Villalobos, Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196 (2009) 1–20. [CrossRef] [Google Scholar]
  • R. Akkerman, Y. Wang and M. Grunow, MILP approaches to sustainable production and distribution of meal elements. In: 2009 International Conference on Computers & Industrial Engineering (2009) 973–978. [CrossRef] [Google Scholar]
  • T. Aslam, Amos HCN Multi-objective optimization for supply chain management: a literature review and new development. In: 2010 8th International Conference on Supply Chain Management and Information (2010) 1–8. [Google Scholar]
  • E. Atrek, R.H. Gallagher, K.M. Ragsdell and O.C. Zienkiewicz, New directions in optimum structural design. Wiley, Chichester, 1984. No. of Pages: xxi + 727 Optim. Control App. Methods 6 (1985) 188. [Google Scholar]
  • A.H. Azadnia, M.Z.M. Saman and K.Y. Wong, Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. Int. J. Prod. Res. 53 (2015) 383–408. [CrossRef] [Google Scholar]
  • M. Babagolzadeh, A. Shrestha, B. Abbasi, Y. Zhang, A. Woodhead and A. Zhang, Sustainable cold supply chain management under demand uncertainty and carbon tax regulation. Transp. Res. Part D: Transp. Environ. 80 (2020) 102245. [CrossRef] [Google Scholar]
  • A. Banasik, A. Kanellopoulos, G.D.H. Claassen, J.M. Bloemhof-Ruwaard and J.G.A.J. van der Vorst, Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization. Ann. Oper. Res. 250 (2017) 341–362. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Banasik, A. Kanellopoulos, G.D.H. Claassen, J.M. Bloemhof-Ruwaard and J.G.A.J. van der Vorst, Closing loops in agricultural supply chains using multi-objective optimization: a case study of an industrial mushroom supply chain. Int. J. Prod. Econ. 183 (2017) 409–420. [CrossRef] [Google Scholar]
  • E. Bardasi and M. Francesconi, The impact of atypical employment on individual wellbeing: evidence from a panel of British workers. Institute for Social and Economic Research (2003). [Google Scholar]
  • J.M. Bloemhof, J.G.A.J. van der Vorst, M. Bastl and H. Allaoui, Sustainability assessment of food chain logistics. Int. J. Logistics Res. App. 18 (2015) 101–117. [CrossRef] [Google Scholar]
  • M. Bortolini, M. Faccio, M. Gamberi and F. Pilati, Multi-objective design of multi-modal fresh food distribution networks. Int. J. Logistics Syst. Manage. 24 (2016) 155–177. [CrossRef] [Google Scholar]
  • A. Bozorgi, Multi-product inventory model for cold items with cost and emission consideration. Int. J. Prod. Econ. 176 (2016) 123–142. [CrossRef] [Google Scholar]
  • M. Brandenburg, K. Govindan, J. Sarkis and S. Seuring, Quantitative models for sustainable supply chain management: developments and directions. Eur. J. Oper. Res. 233 (2014) 299–312. [CrossRef] [Google Scholar]
  • M. Caramia and P. Dell’Olmo, Multi-objective optimization. In: Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level, Sustainability, and Safety with Optimization Algorithms. Springer International Publishing, Cham (2020) 21–51. [CrossRef] [Google Scholar]
  • R. Carter Craig, R. Hatton Marc, C. Wu and X. Chen, Sustainable supply chain management: continuing evolution and future directions. Int. J. Phys. Distrib. Logistics Manage. 50 (2019) 122–146. [CrossRef] [Google Scholar]
  • P. Castka and M.A. Balzarova, ISO 26000 and supply chains – on the diffusion of the social responsibility standard. Int. J. Prod. Econ. 111 (2008) 274–286. [CrossRef] [Google Scholar]
  • A. Chaabane and R. Geramianfar, Sustainable supply chain planning and optimization trade-offs between cost, GHG emissions and service level. In: 2015 4th International Conference on Advanced Logistics and Transport (ICALT), 20–22 May 2015 (2015) 327–332. [Google Scholar]
  • L. Chen, X. Zhao, O. Tang, L. Price, S. Zhang and W. Zhu, Supply chain collaboration for sustainability: a literature review and future research agenda. Int. J. Prod. Econ. 194 (2017) 73–87. [CrossRef] [Google Scholar]
  • M. Choudhury and G.C. Mahata, Sustainable integrated and pricing decisions for two-echelon supplier–retailer supply chain of growing items. RAIRO-Oper. Res. 55 (2021) 3171–3195. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • C. Colicchia, A. Creazza, F. Dallari and M. Melacini, Eco-efficient supply chain networks: development of a design framework and application to a real case study. Prod. Planning Control 27 (2016) 157–168. [CrossRef] [Google Scholar]
  • A.M. Costa, L.M.R. dos Santos, D.J. Alem and R.H.S. Santos, Sustainable vegetable crop supply problem with perishable stocks. Ann. Oper. Res. 219 (2014) 265–283. [MathSciNet] [Google Scholar]
  • R. Daghigh, M. Jabalameli, A. Amiri and M. Pishvaee, A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty. Int. J. Ind. Eng. Comput. 7 (2016) 615–634. [Google Scholar]
  • B.K. Dey, S. Bhuniya and B. Sarkar, Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Expert Syst. App. 184 (2021) 115464. [CrossRef] [Google Scholar]
  • A. Gallo, R. Accorsi, G. Baruffaldi and R. Manzini, Designing sustainable cold chains for long-range food distribution: energy-effective corridors on the Silk Road Belt. Sustainability 9 (2017) 2044. [CrossRef] [Google Scholar]
  • S. Gawusu, X. Zhang, S.A. Jamatutu, A. Ahmed, A.A. Amadu and E. Djam Miensah, The dynamics of green supply chain management within the framework of renewable energy. Int. J. Energy Res. 46 (2022) 684–711. [CrossRef] [Google Scholar]
  • K. Govindan, A. Jafarian, R. Khodaverdi and K. Devika, Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. Int. J. Prod. Econ. 152 (2014) 9–28. [CrossRef] [Google Scholar]
  • M. Hariga, R. As’ad and A. Shamayleh, Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation. J. Cleaner Prod. 166 (2017) 1357–1371. [CrossRef] [Google Scholar]
  • S.J. James and C. James, The food cold-chain and climate change. Food Res. Int. 43 (2010) 1944–1956. [CrossRef] [Google Scholar]
  • M. Kayfeci, A. Keçebaş and E. Gedik, Determination of optimum insulation thickness of external walls with two different methods in cooling applications. Appl. Thermal Eng. 50 (2013) 217–224. [CrossRef] [Google Scholar]
  • A. Kumar, S.K. Mangla and P. Kumar, An integrated literature review on sustainable food supply chains: exploring research themes and future directions. Sci. Total Environ. 821 (2022) 153411. [CrossRef] [Google Scholar]
  • F. Lehyani, A. Zouari, A. Ghorbel and M. Tollenaere, Defining and measuring supply chain performance: a systematic literature review. Eng. Manage. J. 33 (2021) 283–313. [CrossRef] [Google Scholar]
  • V. León-Bravo, F. Caniato and M. Caridi, Sustainability in multiple stages of the food supply chain in Italy: practices, performance and reputation. Oper. Manage. Res. 12 (2019) 40–61. [CrossRef] [Google Scholar]
  • B. Marchi, S. Zanoni, L.E. Zavanella and M.Y. Jaber, Supply chain models with greenhouse gases emissions, energy usage, imperfect process under different coordination decisions. Int. J. Prod. Econ. 211 (2019) 145–153. [CrossRef] [Google Scholar]
  • R.T. Marler and J.S. Arora, The weighted sum method for multi-objective optimization: new insights. Struct. Multi. Optim. 41 (2010) 853. [CrossRef] [Google Scholar]
  • D.G. Mogale, A. Ghadge, S.K. Kumar and M.K. Tiwari, Modelling supply chain network for procurement of food grains in India. Int. J. Prod. Res. 58 (2020) 6493–6512. [CrossRef] [Google Scholar]
  • M. Musavi and A. Bozorgi-Amiri, A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Comput. Ind. Eng. 113 (2017) 766–778. [CrossRef] [Google Scholar]
  • H. Neofytou, A. Nikas and H. Doukas, Sustainable energy transition readiness: A multicriteria assessment index. Renew. Sustainable Energy Rev. 131 (2020) 109988. [CrossRef] [Google Scholar]
  • D. Nie, H. Li, T. Qu, Y. Liu and C. Li, Optimizing supply chain configuration with low carbon emission. J. Cleaner Prod. 271 (2020) 122539. [CrossRef] [Google Scholar]
  • M.S. Pishvaee, J. Razmi and S.A. Torabi, Robust possibilistic programming for socially responsible supply chain network design: a new approach. Fuzzy Sets Syst. 206 (2012) 1–20. [Google Scholar]
  • M. Rahimi, V. Ghezavati and F. Asadi, A stochastic risk-averse sustainable supply chain network design problem with quantity discount considering multiple sources of uncertainty. Comput. Ind. Eng. 130 (2019) 430–449. [CrossRef] [Google Scholar]
  • S.U.K. Rohmer, J.C. Gerdessen and G.D.H. Claassen, Sustainable supply chain design in the food system with dietary considerations: a multi-objective analysis. Eur. J. Oper. Res. 273 (2019) 1149–1164. [CrossRef] [Google Scholar]
  • A. Saif and S. Elhedhli, Cold supply chain design with environmental considerations: a simulation-optimization approach. Eur. J. Oper. Res. 251 (2016) 274–287. [CrossRef] [Google Scholar]
  • B. Sarkar, B. Mridha, S. Pareek, M. Sarkar and L. Thangavelu, A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. J. Cleaner Prod. 317 (2021) 128079. [CrossRef] [Google Scholar]
  • P. Schittekat and K. Sörensen, Supporting 3PL decisions in the automotive industry by generating diverse solutions to a large-scale location-routing problem. Oper. Res. 57 (2009) 1058–1067. [CrossRef] [Google Scholar]
  • A. Shamayleh, M. Hariga, R. As’ad and A. Diabat, Economic and environmental models for cold products with time varying demand. J. Cleaner Prod. 212 (2019) 847–863. [CrossRef] [Google Scholar]
  • R.K. Singh, A. Gunasekaran and P. Kumar, Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Ann. Oper. Res. 267 (2018) 531–553. [CrossRef] [MathSciNet] [Google Scholar]
  • S.R. Singh, D. Yadav, B. Sarkar and M. Sarkar, Impact of energy and carbon emission of a supply chain management with two-level trade-credit policy. Energies 14 (2021) 1569. [CrossRef] [Google Scholar]
  • M. Soysal, J.M. Bloemhof-Ruwaard, R. Haijema and J.G.A.J. van der Vorst, Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty. Int. J. Prod. Econ. 164 (2015) 118–133. [CrossRef] [Google Scholar]
  • S. Sureau, B. Mazijn, S.R. Garrido and W.M.J. Achten, Social life-cycle assessment frameworks: a review of criteria and indicators proposed to assess social and socio-economic impacts. Int. J. Life Cycle Assess. 23 (2018) 904–920. [CrossRef] [Google Scholar]
  • W. Sutopo, M. Hisjam, Yuniaristanto, An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: IAENG Transactions on Engineering Technologies: Special Issue of the International MultiConference of Engineers and Computer Scientists 2012, edited by G.-C. Yang, S.-I. Ao, X. Huang and O. Castillo. Springer, Netherlands, Dordrecht, (2013) 189–202. [Google Scholar]
  • F.M. Takey and M.A. Mesquita, Aggregate planning for a large food manufacturer with high seasonal demand. Braz. J. Oper. Prod. Manage. 3 (2006) 05–20. [Google Scholar]
  • E.B. Tirkolaee, A. Goli, A. Faridnia, M. Soltani and G.-W. Weber, Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms. J. Cleaner Prod. 276 (2020) 122927. [CrossRef] [Google Scholar]
  • S. Validi, A. Bhattacharya and P.J. Byrne, A case analysis of a sustainable food supply chain distribution system – a multi-objective approach. Int. J. Prod. Econ. 152 (2014) 71–87. [CrossRef] [Google Scholar]
  • S. Validi, A. Bhattacharya and P.J. Byrne, A solution method for a two-layer sustainable supply chain distribution model. Comput. Oper. Res. 54 (2015) 204–217. [CrossRef] [Google Scholar]
  • J.G.A.J. van der Vorst, S.-O. Tromp and D.-J. Zee, Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. Int. J. Prod. Res. 47 (2009) 6611–6631. [CrossRef] [Google Scholar]
  • M. Varsei and S. Polyakovskiy, Sustainable supply chain network design: a case of the wine industry in Australia. Omega 66 (2017) 236–247. [CrossRef] [Google Scholar]
  • M. Wang, L. Zhao and M. Herty, Joint replenishment and carbon trading in fresh food supply chains. Eur. J. Oper. Res. 277 (2019) 561–573. [CrossRef] [Google Scholar]
  • World Economic Forum, The Speed of the Energy Transition – Gradual or Rapid Change? World Economic Forum, Switzerland (2019). [Google Scholar]
  • V.S. Yadav, A.R. Singh, R.D. Raut and N. Cheikhrouhou, Design of multi-objective sustainable food distribution network in the Indian context with multiple delivery channels. Comput. Ind. Eng. 160 (2021) 107549. [CrossRef] [Google Scholar]
  • I.U. Zeytinoglu, M. Denton, J. Plenderleith and J. Chowhan, Associations between workers’ health, and non-standard hours and insecurity: the case of home care workers in Ontario, Canada. Int. J. Human Res Manage. 26 (2015) 2503–2522. [CrossRef] [Google Scholar]
  • Z. Zhang, K. Zhang and B. Song, The information construction of third-party warehousing in the cold chain logistics. In: LISS 2012: Proceedings of 2nd International Conference on Logistics, Informatics and Service Science (2012). [Google Scholar]
  • Z. Zhu, F. Chu, A. Dolgui, C. Chu, W. Zhou and S. Piramuthu, Recent advances and opportunities in sustainable food supply chain: a model-oriented review. Int. J. Prod. Res. 56 (2018) 5700–5722. [CrossRef] [Google Scholar]

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