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adaptation to climate change. Clim Policy. https://doi.org/10.1080/14693062.2015.1029865
61. Govindan R, Al-Ansari T (2019) Computational decision framework for enhancing resilience
of the energy, water and food nexus in risky environments. Renew Sustain Energy Rev. https://
doi.org/10.1016/j.rser.2019.06.015
62. Alburquerque JA et al (2013) Enhanced wheat yield by biochar addition under different
mineral fertilization levels. Agron Sustain Dev. https://doi.org/10.1007/s13593-012-0128-3
63. Irani Z et al (2017) Managing food security through food waste and loss: small data to big
data. Comput Oper Res. https://doi.org/10.1016/j.cor.2017.10.007
64. Mogale DG, Kumar M, Kumar SK, Tiwari MK (2018) Grain silo location-allocation problem
with dwell time for optimization of food grain supply chain network. Transp Res Part E Logist
Transp Rev 111:40–69. https://doi.org/10.1016/j.tre.2018.01.004
65. Al-Thani NA, Govindan R, Al-Ansari T (2020) Maximising nutritional benefits within the
energy, water and food nexus. J Clean Prod 266:121877. https://doi.org/10.1016/j.jclepro.
2020.121877
66. Mortada S, Abou Najm M, Yassine A, El Fadel M, Alamiddine I (2018) Towards sustainable
water-food nexus: an optimization approach. J Clean Prod 178:408–418. https://doi.org/10.
1016/j.jclepro.2018.01.020
67. Vats G (2019) A nexus approach to energy, water, and food security policy making in India.
University of Technology Sydney
68. Rajikan R, Shin LH, Hamid NIA, Elias SM (2019) Food insecurity, quality of life, and diet
optimization of low income university students in Selangor, Malaysia. J Gizi Dan Pangan.
https://doi.org/10.25182/jgp.2019.14.3.107-116
69. Altiok T, Melamed B (2007) Simulation modeling and analysis with ARENA
70. Katsaliaki K, Mustafee N (2011) Applications of simulation within the healthcare context. J
Oper Res Soc. https://doi.org/10.1057/jors.2010.20
71. Dagpunar JS, Fishman GS (1980) Principles of discrete event simulation. J Oper Res Soc.
https://doi.org/10.2307/3009344
72. Garbolino E, Chery JP, Guarnieri F (2016) A simplified approach to risk assessment based
on system dynamics: an industrial case study. Risk Anal. https://doi.org/10.1111/risa.12534
73. Van’t Ooster A, Aantjes GWJ, Melamed Z (2017) Discrete event simulation of crop operations
in sweet pepper in support of work method innovation. https://doi.org/10.17660/ActaHortic.
2017.1154.19
74. Van’t Ooster A, Bontsema J, Van Henten EJ, Hemming S (2012) GWorkS—a discrete event
simulation model on crop handling processes in a mobile rose cultivation system. Biosyst
Eng. https://doi.org/10.1016/j.biosystemseng.2012.03.004
75. Gittins P, McElwee G, Tipi N (2020) Discrete event simulation in livestock management. J
Rural Stud 78:387–398. https://doi.org/10.1016/j.jrurstud.2020.06.039
76. Nilsson D (2001) Discrete event simulation as a performance analysis tool in agricultural
logistics systems. IFAC Proc 34(26):19–24. https://doi.org/10.1016/s1474-6670(17)33626-1
77. van der Vorst JGAJ, van der Zee D-J, Tromp S-O (2010) Simulation modelling for food supply
chain redesign
78. dos Santos Lopes H, da Silva Lima R, Leal F, de Carvalho Nelson A (2017) Scenario analysis
of Brazilian soybean exports via discrete event simulation applied to soybean transportation:
the case of Mato Grosso State. Res Transp Bus Manag. https://doi.org/10.1016/j.rtbm.2017.
09.002
79. Forrester JW (1968) Industrial dynamics—after the first decade. Manage Sci. https://doi.org/
10.1287/mnsc.14.7.398
80. Forrester JW (1997) Industrial dynamics. J Oper Res Soc. https://doi.org/10.1057/palgrave.
jors.2600946
81. Shen Q, Chen Q, Tang B-S, Yeung S, Hu Y, Cheung G (2009) A system dynamics model for
the sustainable land use planning and development. Habitat Int. https://doi.org/10.1016/j.hab
itatint.2008.02.004
S. Namany and T. Al-Ansari
60. Rasul G, Sharma B (2016) The nexus approach to water–energy–food security: an option for
adaptation to climate change. Clim Policy. https://doi.org/10.1080/14693062.2015.1029865
61. Govindan R, Al-Ansari T (2019) Computational decision framework for enhancing resilience
of the energy, water and food nexus in risky environments. Renew Sustain Energy Rev. https://
doi.org/10.1016/j.rser.2019.06.015
62. Alburquerque JA et al (2013) Enhanced wheat yield by biochar addition under different
mineral fertilization levels. Agron Sustain Dev. https://doi.org/10.1007/s13593-012-0128-3
63. Irani Z et al (2017) Managing food security through food waste and loss: small data to big
data. Comput Oper Res. https://doi.org/10.1016/j.cor.2017.10.007
64. Mogale DG, Kumar M, Kumar SK, Tiwari MK (2018) Grain silo location-allocation problem
with dwell time for optimization of food grain supply chain network. Transp Res Part E Logist
Transp Rev 111:40–69. https://doi.org/10.1016/j.tre.2018.01.004
65. Al-Thani NA, Govindan R, Al-Ansari T (2020) Maximising nutritional benefits within the
energy, water and food nexus. J Clean Prod 266:121877. https://doi.org/10.1016/j.jclepro.
2020.121877
66. Mortada S, Abou Najm M, Yassine A, El Fadel M, Alamiddine I (2018) Towards sustainable
water-food nexus: an optimization approach. J Clean Prod 178:408–418. https://doi.org/10.
1016/j.jclepro.2018.01.020
67. Vats G (2019) A nexus approach to energy, water, and food security policy making in India.
University of Technology Sydney
68. Rajikan R, Shin LH, Hamid NIA, Elias SM (2019) Food insecurity, quality of life, and diet
optimization of low income university students in Selangor, Malaysia. J Gizi Dan Pangan.
https://doi.org/10.25182/jgp.2019.14.3.107-116
69. Altiok T, Melamed B (2007) Simulation modeling and analysis with ARENA
70. Katsaliaki K, Mustafee N (2011) Applications of simulation within the healthcare context. J
Oper Res Soc. https://doi.org/10.1057/jors.2010.20
71. Dagpunar JS, Fishman GS (1980) Principles of discrete event simulation. J Oper Res Soc.
https://doi.org/10.2307/3009344
72. Garbolino E, Chery JP, Guarnieri F (2016) A simplified approach to risk assessment based
on system dynamics: an industrial case study. Risk Anal. https://doi.org/10.1111/risa.12534
73. Van’t Ooster A, Aantjes GWJ, Melamed Z (2017) Discrete event simulation of crop operations
in sweet pepper in support of work method innovation. https://doi.org/10.17660/ActaHortic.
2017.1154.19
74. Van’t Ooster A, Bontsema J, Van Henten EJ, Hemming S (2012) GWorkS—a discrete event
simulation model on crop handling processes in a mobile rose cultivation system. Biosyst
Eng. https://doi.org/10.1016/j.biosystemseng.2012.03.004
75. Gittins P, McElwee G, Tipi N (2020) Discrete event simulation in livestock management. J
Rural Stud 78:387–398. https://doi.org/10.1016/j.jrurstud.2020.06.039
76. Nilsson D (2001) Discrete event simulation as a performance analysis tool in agricultural
logistics systems. IFAC Proc 34(26):19–24. https://doi.org/10.1016/s1474-6670(17)33626-1
77. van der Vorst JGAJ, van der Zee D-J, Tromp S-O (2010) Simulation modelling for food supply
chain redesign
78. dos Santos Lopes H, da Silva Lima R, Leal F, de Carvalho Nelson A (2017) Scenario analysis
of Brazilian soybean exports via discrete event simulation applied to soybean transportation:
the case of Mato Grosso State. Res Transp Bus Manag. https://doi.org/10.1016/j.rtbm.2017.
09.002
79. Forrester JW (1968) Industrial dynamics—after the first decade. Manage Sci. https://doi.org/
10.1287/mnsc.14.7.398
80. Forrester JW (1997) Industrial dynamics. J Oper Res Soc. https://doi.org/10.1057/palgrave.
jors.2600946
81. Shen Q, Chen Q, Tang B-S, Yeung S, Hu Y, Cheung G (2009) A system dynamics model for
the sustainable land use planning and development. Habitat Int. https://doi.org/10.1016/j.hab
itatint.2008.02.004