Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management

Abstract

Today, reverse logistics (RL) is one of the main activities of supply chain management that covers all physical activities associated with return products (such as collection, recovery, recycling and destruction). In this regard, the designing and proper implementation of RL, in addition to increasing the level of customer satisfaction, reduces inventory and transportation costs. In this paper, in order to minimize the costs associated with fixed costs, material flow costs, and the costs of building potential centres, a complex integer linear programming model for an integrated direct logistics and RL network design is presented. Due to the outbreak of the ongoing global coronavirus pandemic (COVID-19) at the beginning of 2020 and the consequent increase in medical waste, the need for an inverse logistics system to manage waste is strongly felt. Also, due to the worldwide vaccination in the near future, this waste will increase even more and careful management must be done in this regard. For this purpose, the proposed RL model in the field of COVID-19 waste management and especially vaccine waste has been designed. The network consists of three parts – factory, consumers’ and recycling centres – each of which has different sub-parts. Finally, the proposed model is solved using the cuckoo optimization algorithm, which is one of the newest and most powerful meta-heuristic algorithms, and the computational results are presented along with its sensitivity analysis.

An Elastic Collision Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

“…After judging whether the fitness value is good or bad based on the newly generated individual position vector in (14), the original individual will be replaced by the best. refraction principle [23,24]. e value of the boundary point in the refraction reverse learning is (a + b)/2 of the search interval [a, b].…”

“…e Cauchy inverse function [26] is shown in (22). Referring to (22), we can write the new position of the individual as (23); that is, the new position of the individual is obtained by the Cauchy mutation. After judging whether the fitness value is good or bad based on the newly generated individual position vector in (23), the original individual is replaced by the best one.…”

“…A Levy flights discrete bat algorithm is adopted to solve the Euclidean traveling salesman problem [22]. e cuckoo optimization algorithm in reverse logistics is used to design a network for COVID-19 waste management [23]. A chaotic cuckoo optimization algorithm based on a Levy flight, backward learning, and interfere operator is used to classify the optimal feature subspace [24].…”

Viable medical waste chain network design by considering risk and robustness

“…Eventually, a commercial solver is utilized to solve the model with meta-goal programming (MGP) for multi-objective. Shadkam (2021) designed a reverse logistics network for COVID-19 and vaccine waste management. They utilized cuckoo optimization algorithm (COA).…”

Viable Medical Waste Chain Network Design by Considering Risk and Robustness

“…Eventually, a commercial solver is utilized to solve the model with Meta-Goal Programming (MGP) for multiobjective. Shadkam (2021) designed a reverse logistics network for COVID-19 and vaccine waste management. They utilized Cuckoo Optimization Algorithm (COA).…”