The proposed system contributes to a potential Supply Chain 4.0 for addressing the issues discussed in Section 2. The ISM (Pfohl et al., 2011 (link); Astuti et al., 2014 (link)) transforms the operation flow of the “Anto Wijaya Fruit” company (Widi et al., 2021 (link)) into our design for process flows covering product, finance, and risk, as outlined below.
where Net CE denotes net cost-efficiency,
EV denotes the export value of the mango,
L denotes mango loss (%),
R denotes risk % as a result of the less-than-ideal decision to reduce mango loss,
N denotes the number of sensing devices,
Cost of each sensing device = 200 USD,
x denotes the additional cost per sensing device.
In this case, x = sensor storage cost + implementation cost + installation cost + broadband transmission cost + visualization equipment cost. The details are as follows:
Assuming a total additional cost per sensing device (x) is US $20 for the sensor's life span (10 years), the total upfront cost of purchasing and operating each sensor is US $200 + US $20 = US $ 220. The profit recovered by this AI system is EV*(L%–R%), where L = 6.91% and R = 0.035%. This could be used as the budget for paying the initial sensor cost. The maximum number of sensors that could be purchased using this profit is listed in Table 1.
Free full text: Click here