Conceptual fluidity model for resilient agroindustry supply chains

Figures & data

Figure 1. Traceability and visibility in the supply chain.

Table 1. Methodologies to address agroindustry issues (Handayati et al., 2015)

Author, year	Approximation methodology
	Math	Statistics	Simulation	Case study
Belaya and Hanf [7]	-	Partial least squares	-	-
MacRae et al. [25]	-	-	-	Case study
Sutopo et al. [45]	Mixed integer linear programming	-	-	-
Tan and Comden [46]		-	-	-
Usuga et al. [50]	-	-	-	Case study
Villegas et al. [52]	-	-	Global circulation models	-
Zhang and Li [53]	-	-	-	Case study
Cai et al. [14]	Analytical	-	-	-
Kuwornu et al. [23]	-	-	Multiagent	-
Schmitz et al. [38]	-	-	-	Case study
Stringer and Sang [44]	-	Conjoint analysis	-	-
Burer et al. [12]	Analytical	-	-	-
Schepers and van Kooten [37]	-	-	System dynamics	-
Zylbersztajn and Miele [54]	-	Multiple regression	-	-
Chambers and King [15]	-	-	-	Case study
Folkerts and Koehorst [18]	-	-	-	Case study

Figure 2. A model to study risk in agroindustry supply chains.

Figure 3. Proposed framework for the integration of the fluidity index in agroindustry supply chains.

Handayati, Y., Simatupang, T. M., & Perdana, T. (2015). Agri-food supply chain coordination: The state of the art and recent developments. Springerlink. Logistics Research, 8(5), 1–15 doi:https://doi.org/10.1007/s12159-015-0125-4.

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