Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods

Robust Design of a Closed-Loop Supply Chain Considering Multiple Recovery Options and Carbon Policies Under Uncertainty

“…Masoudipour et al [22] addressed the issue of return rates in reverse logistic network and proposed a conditional quality-based segmentation policy. Few researchers studied parameters uncertainty in CLSC network and proposed solution approaches based on fuzzy programming [32], stochastic scenario-based approach [33], and robust optimization [7], [8], [34], [35], among others. The main limitations of above works are (a) lacking in environmental consideration to reduce carbon emission; (b) studied only one type of quality level of return used products, and (c) no mechanism in reverse network to maximize the collection of used products.…”

Optimization and incorporating of green traffic for dynamic vehicle routing problem with perishable products

“…The computational conclusions indicate that the rate of synchronization is straightly associated with the possible advancements with the reuse of the program. In the suggested multi-product, the multi-period model (Yavari and Geraeli 2019 ) was introduced by a closed-loop chain for perishable products in the dairy industry. Besides, the demand and rate of return are taken into consideration uncertain.…”

Demand management to cope with routes disruptions in location-inventory-routing problem for perishable products

“…They considered two objectives to improve average food quality and reduce inventory, total production, and transportation cost. Finally, few articles in the context of the supply chain of perishable products have considered the integration location and inventory decisions (e.g., see Hamdan and Diabat (2019) ; Yavari and Geraeli (2019) ; Savadkoohi, Mousazadeh, and Torabi (2018) ).…”