Table 1 Summary of most relevant studies...

Table 1

Summary of most relevant studies

References	Method	Constraints	Objectives	Parallel production	Pre-trained rescheduling policy
Liu et al. (2023)	GA	$M_{e}, H_{w}$	$M$ , $E, T$	Yes	No
Wang et al. (2021)	GA	$N_{m}, H_{w}$	$C_{r}$	Yes	No
Wang and Hu (2018)	GA	$N_{m}, H_{w}$	$t_{i}$ , $C_{m}$ , $C_{d}, C_{r}$	Yes	No
Du and Li (2024)	DRL-based EA	$P_{W E}$	$E$ , $T, C_{e}$	Yes	No
Kim et al. (2020)	DQN	$N_{m}, H_{w}$	$T$	No	Yes
Proposed Method	DQN	$N_{m}$ , $N_{l}, H_{w}$	$M$ , $E, T$	Yes	Yes

References	Method	Constraints	Objectives	Parallel production	Pre-trained rescheduling policy
Liu et al. (2023)	GA	$M_{e}, H_{w}$	$M$ , $E, T$	Yes	No
Wang et al. (2021)	GA	$N_{m}, H_{w}$	$C_{r}$	Yes	No
Wang and Hu (2018)	GA	$N_{m}, H_{w}$	$t_{i}$ , $C_{m}$ , $C_{d}, C_{r}$	Yes	No
Du and Li (2024)	DRL-based EA	$P_{W E}$	$E$ , $T, C_{e}$	Yes	No
Kim et al. (2020)	DQN	$N_{m}, H_{w}$	$T$	No	Yes
Proposed Method	DQN	$N_{m}$ , $N_{l}, H_{w}$	$M$ , $E, T$	Yes	Yes

Note(s): $M_{e}$ ⁠: machine environment constraints; $H_{w}$ ⁠: working hour limits; $N_{m}$ ⁠: number of molds; $P_{W E}$ ⁠: total weighted energy price; $N_{l}$ ⁠: number of labors

$M$ ⁠: makespan; $E$ ⁠: earliness penalty; $T$ ⁠: tardiness penalty; $C_{r}$ ⁠: rescheduling cost; $t_{i}$ ⁠: total idle time; $C_{m}$ ⁠: mold changeover fees; $C_{d}$ ⁠: delivery penalty; $C_{e}$ ⁠: energy cost

Source(s): Author’s own work

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