Framework for evaluating risks in food supply chain: Implications in food wastage reduction

Ali, 2018, Optimal ordering policies in a multi-sourcing supply chain with supply and demand disruptions-a CVaR approach, Int. J. Logist. Syst. Manag., 28, 180, 10.1504/IJLSM.2017.086354 Ali, 2018, Examining price and service competition among retailers in a supply chain under potential demand disruption, J. Retail. Consum. Serv., 10.1016/j.jretconser.2017.08.025 Assefa, 2017, Price risk perceptions and management strategies in selected European food supply chains: an exploratory approach, NJAS - Wageningen J. Life Sci., 80, 15, 10.1016/j.njas.2016.11.002 Bai, 2010, Integrating sustainability into supplier selection with grey system and rough set methodologies, Int. J. Prod. Econ., 124, 252, 10.1016/j.ijpe.2009.11.023 Bai, 2013, A grey-based DEMATEL model for evaluating business process management critical success factors, Int. J. Prod. Econ., 146, 281, 10.1016/j.ijpe.2013.07.011 Bajaj, 2018, Total quality management: a critical literature review using Pareto analysis, Int. J. Product. Perform. Manag., 10.1108/IJPPM-07-2016-0146 Balaji, 2016, Modeling the causes of food wastage in Indian perishable food supply chain, Resour. Conserv. Recycl., 114, 153, 10.1016/j.resconrec.2016.07.016 Chang, 2011, Fuzzy DEMATEL method for developing supplier selection criteria, Expert Syst. Appl., 38, 1850, 10.1016/j.eswa.2010.07.114 Christopher, 2004, Building the resilient supply chain, Int. J. Logist. Manag., 10.1108/09574090410700275 Corrado, 2018, Food waste accounting along global and European food supply chains: state of the art and outlook, Waste Manag., 10.1016/j.wasman.2018.07.032 Dani, 2010, Fragile food supply chains: reacting to risks, Int. J. Logist. Res. Appl., 10.1080/13675567.2010.518564 Dania, 2018, Collaboration behavioural factors for sustainable agri-food supply chains: a systematic review, J. Clean. Prod., 10.1016/j.jclepro.2018.03.148 de Oliveira, 2017, The ISO 31000 standard in supply chain risk management, J. Clean. Prod., 10.1016/j.jclepro.2017.03.054 Diabat, 2012, Supply chain risk management and its mitigation in a food industry, Int. J. Prod. Res., 50, 3039, 10.1080/00207543.2011.588619 Dobler, 2014, Environmental performance, environmental risk and risk management, Bus. Strateg. Environ., 23, 1, 10.1002/bse.1754 Fontela, 1976 Fredriksson, 2015, Capturing food logistics: a literature review and research agenda, Int. J. Logist. Res. Appl., 18, 16, 10.1080/13675567.2014.944887 Freise, 2015, Social and environmental risk management in supply chains: a survey in the clothing industry, Logist. Res., 8, 10.1007/s12159-015-0121-8 Gabus, 1972 Gardas, 2018, Evaluating critical causal factors for post-harvest losses (PHL) in the fruit and vegetables supply chain in India using the DEMATEL approach, J. Clean. Prod., 10.1016/j.jclepro.2018.07.153 Gokarn, 2017, Analysis of challenges inhibiting the reduction of waste in food supply chain, J. Clean. Prod., 10.1016/j.jclepro.2017.09.028 Golinska, 2015, Grey Decision Making as a tool for the classification of the sustainability level of remanufacturing companies, J. Clean. Prod., 10.1016/j.jclepro.2014.11.040 Govindan, 2017, Sustainable consumption and production in the food supply chain: a conceptual framework, Int. J. Prod. Econ., 1 Govindan, 2016, A grey DEMATEL approach to develop third-party logistics provider selection criteria, Ind. Manag. Data Syst., 116, 690, 10.1108/IMDS-05-2015-0180 Guan, 2011, Risk identification and evaluation research on F-AHP evaluation based supply chain, 1513 Gustavsson, 2011 Heckmann, 2015 Ho, 2015, Supply chain risk management: a literature review, Int. J. Prod. Res., 10.1080/00207543.2015.1030467 Hodges, 2011, Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use, J. Agric. Sci., 149, 37, 10.1017/S0021859610000936 Honarvar, 2013, Supply chain risk assessment using analytic network processes. [GS], Shiraz J. Syst. Manag., 1, 65 Hsu, 2013, Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management, J. Clean. Prod., 10.1016/j.jclepro.2011.09.012 ISO, 2009 Jing, 2009, The research on the BP neural network application in food supply chain risk management, 2 Julong, 1989, Introduction to Grey System Theory, J. Grey Syst., 1, 1 Khan, 2007, Risk and supply chain management: creating a research agenda, Int. J. Logist. Manag., 18, 197, 10.1108/09574090710816931 Leitch, 2010, ISO 31000:2009 - the new international standard on risk management: Perspective, Risk Anal. Li, 2018, Application of DEMATEL approach to identify the influential indicators towards sustainable supply chain adoption in the auto components manufacturing sector, J. Clean. Prod. Lin, 2013, Using fuzzy DEMATEL to evaluate the green supply chain management practices, J. Clean. Prod., 10.1016/j.jclepro.2011.06.010 Lin, 2018, Risk identification and analysis for new energy power system in China based on D numbers and decision-making trial and evaluation laboratory (DEMATEL), J. Clean. Prod., 180, 81, 10.1016/j.jclepro.2018.01.153 Liu, 2011, Food supply chain risk assessment based on the theory of system dynamics, 5035 Liu, 2011 Liu, 2017, Key indices of the remanufacturing industry in China using a combined method of grey incidence analysis and grey clustering, J. Clean. Prod., 10.1016/j.jclepro.2017.09.078 Mangla, 2015, Risk analysis in green supply chain using fuzzy AHP approach: a case study, Resour. Conserv. Recycl., 104, 375, 10.1016/j.resconrec.2015.01.001 Mangla, 2016, An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain, Int. J. Oper. Res., 25, 77, 10.1504/IJOR.2016.073252 Mangla, 2018, Enablers to implement sustainable initiatives in agri-food supply chains, Int. J. Prod. Econ., 10.1016/j.ijpe.2018.07.012 Mathivathanan, 2017, Exploring the impact of dynamic capabilities on sustainable supply chain firm's performance using Grey-Analytical Hierarchy Process, J. Clean. Prod., 10.1016/j.jclepro.2017.01.018 Mavi, 2018, Critical success factors of sustainable project management in construction: A fuzzy DEMATEL-ANP approach, J. Clean. Prod., 194, 751, 10.1016/j.jclepro.2018.05.120 Memon, 2015, Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory, Expert Syst. Appl., 42, 7951, 10.1016/j.eswa.2015.06.018 Miranbeigi, 2015, Demand satisfaction in supply chain management system using a full online optimal control method, Int. J. Adv. Manuf. Technol., 10.1007/s00170-014-6513-0 Moktadir, 2018, Decision modeling of risks in pharmaceutical supply chains, Ind. Manag. Data Syst., 118, 1388, 10.1108/IMDS-10-2017-0465 Moktadir, 2018, Modeling the interrelationships among barriers to sustainable supply chain management in leather industry, J. Clean. Prod., 10.1016/j.jclepro.2018.01.245 Nakandala, 2017, Development of a hybrid fresh food supply chain risk assessment model, Int. J. Prod. Res., 10.1080/00207543.2016.1267413 Orgut, 2016, Modeling for the equitable and effective distribution of donated food under capacity constraints, IIE Trans., 48, 252, 10.1080/0740817X.2015.1063792 Papargyropoulou, 2014, The food waste hierarchy as a framework for the management of food surplus and food waste, J. Clean. Prod., 76, 106, 10.1016/j.jclepro.2014.04.020 Parfitt, 2010, Food waste within food supply chains: quantification and potential for change to 2050, Philos. Trans. R. Soc. B Biol. Sci., 10.1098/rstb.2010.0126 Prakash, 2018, Risk assessment in automobile supply chain Rajesh, 2015, Supplier selection in resilient supply chains: a grey relational analysis approach, J. Clean. Prod., 86, 343, 10.1016/j.jclepro.2014.08.054 Rajesh, 2017, Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach, Int. J. Adv. Manuf. Technol., 92, 1127, 10.1007/s00170-017-0118-3 Schanes, 2018, Food waste matters - a systematic review of household food waste practices and their policy implications, J. Clean. Prod., 182, 978, 10.1016/j.jclepro.2018.02.030 Sharma, 2018, Ranking the success factors to improve safety and security in sustainable food supply chain management using fuzzy AHP Shirani, 2015, Integration of FMEA and human factor in the food chain risk assessment, Int. J. Soc. Behav. Educat. Econ. Business Ind. Eng., 12, 4103 Singh, 2018, Social media data analytics to improve supply chain management in food industries, Transport. Res. Part E Logist. Transp. Rev., 10.1016/j.tre.2017.05.008 Song, 2017, Modeling a Government-Manufacturer-Farmer game for food supply chain risk management, Food Control, 78, 443, 10.1016/j.foodcont.2017.02.047 Soroor, 2009, Preventing failure in IT-enabled systems for supply chain management, Int. J. Prod. Res., 10.1080/00207540802314837 Stancu, 2016, Determinants of consumer food waste behaviour: two routes to food waste, Appetite, 96, 7, 10.1016/j.appet.2015.08.025 Su, 2016, Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach, J. Clean. Prod., 10.1016/j.jclepro.2015.05.080 Sun, 2014, The literature review of food supply chain risk assessment, Int. J. Bus. Soc. Sci., 5, 198 Sun, 2018, Impacts of food wastage on water resources and environment in China, J. Clean. Prod., 10.1016/j.jclepro.2018.03.029 Tadić, 2014, A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection, Expert Syst. Appl., 41, 8112, 10.1016/j.eswa.2014.07.021 Talib, 2015, Critical success factors of supply chain management: a literature survey and Pareto analysis, EuroMed J. Bus. Tang, 2006, Perspectives in supply chain risk management, Int. J. Prod. Econ., 10.1016/j.ijpe.2005.12.006 Thi, 2015, An overview of food waste management in developing countries: current status and future perspective, J. Environ. Manag. Torabi, 2016, An enhanced risk assessment framework for business continuity management systems, Saf. Sci., 89, 201, 10.1016/j.ssci.2016.06.015 Tseng, 2009, A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach, Expert Syst. Appl., 36, 7738, 10.1016/j.eswa.2008.09.011 Vafadarnikjoo, 2015, An integrated gray-fuzzy cause and effect approach to determine the most significant categories of project risks, IIE Annu. Conf. Proc. Wang, 2004, Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system, Eur. J. Oper. Res., 10.1016/S0377-2217(02)00729-4 Wang, 2012, A fuzzy model for aggregative food safety risk assessment in food supply chains, Prod. Plann. Contr., 10.1080/09537287.2011.561812 Williams, 2008, A life cycle perspective on environmental effects of customer focused packaging development, J. Clean. Prod., 16, 853, 10.1016/j.jclepro.2007.05.006 Williams, 2012, Reasons for household food waste with special attention to packaging, J. Clean. Prod., 24, 141, 10.1016/j.jclepro.2011.11.044 Wu, 2018, Business analytics for systematically investigating sustainable food supply chains, J. Clean. Prod., 10.1016/j.jclepro.2018.08.178 Wu, 2006, A model for inbound supply risk analysis, Comput. Ind., 57, 350, 10.1016/j.compind.2005.11.001 Wu, 2018, Identifying and analyzing barriers to offshore wind power development in China using the grey decision-making trial and evaluation laboratory approach, J. Clean. Prod. Xia, 2015, Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach, J. Clean. Prod., 87, 811, 10.1016/j.jclepro.2014.09.044 Xiaoping, 2016, 10, 233 Yongsheng, 2016, Food supply chain risk management situation evaluation model based on factor Analysis, Int. Bus. Manag., 12, 40