Table 2.
The details of the literature review
| Author/year | Model type | Coverage demand | Prioritization | Environmental effects | Time minimization | IoT | Product type | Waste management | Cold supply chain network | COVID-19 condition | Solution methodology | Case study |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Govindan et al. (2016) | MILP | – | – | * | – | – | – | * | – | – | MOGA, MOPSO, Epsilon constraint | – |
| Sadjadi et al. (2019) | MILP | – | – | – | – | – | vaccine | * | – | – | Branch and cut | * |
| Saeidi-Mobarakeh et al. (2020) | MILP | – | * | – | – | – | – | * | – | – | Robust optimization method | * |
| Kargar et al. (2020) | MILP | – | – | – | – | – | – | * | – | * | Goal Programming | * |
| Yang et al. (2020) | MILP | – | – | – | – | – | vaccine | – | – | – | Disaggregation-and-merging algorithm | – |
| Lin et al. (2020) | LP | * | – | – | – | – | vaccine | – | * | – | Exact method | – |
| Yu et al. (2020) | MILP | – | – | – | – | – | – | * | * | Interactive fuzzy approach + GAMS | * | |
| Wang et al. (2020) | – | – | – | – | – | – | – | * | – | – | – | – |
| Zambrano et al. (2020) | – | – | – | * | – | – | – | * | – | * | – | – |
| Neumeyer et al. (2020) | – | – | – | – | – | – | – | * | – | * | – | – |
| Klemes et al. (2020) | – | – | – | * | – | – | – | * | – | * | – | – |
| Tirkolaee et al. (2021) | MILP | – | – | – | * | – | – | * | – | * | Weighted goal programming | * |
|
Babaee Tirkolaee & Aydın (2021) |
MILP | – | – | * | – | – | – | * | – | * | Meta-goal programming approach | * |
| Goodarzian, Taleizadeh, et al. (2021) | MILP | * | – | – | – | – | medicine | – | – | * | ACO, FSA, VNS, FA | * |
| Sazvar et al. (2021) | MILP | – | – | * | – | – | pharmaceutical | * | – | – | Hybrid method, LP-metric | * |
| Nagurney (2021) | – | – | – | – | – | – | – | – | – | * | – | – |
| Singh et al. (2021) | Simulation | – | – | – | – | – | – | – | – | * | – | – |
| This paper | MINLP | * | * | * | * | * | Vaccine | * | * | * | LP-metric, VNS, GWO, Modified GWO | * |