the study was undertaken with the objectives to: (1) study the present status of plastic waste management and the existing phnom penh household willingness and their influence factors to segregate plastics for recycling and reuse (plastics & non plastics); (2) study how other cities encouraged and obtained the participation of their population in plastics recycling and reuse and (3) recommend w...

Operations Research has addressed a variety of environmental problems outside the traditional supply chain management area such as remanufacturing, reverse logistics, and waste management. Supply chain sustainability, which includes designing green supply chains, will gain much more attention in the future. Indeed, most companies are still in the early stage of considering a green initiative. T...

In the changing competitive landscape and with growing environmental awareness, reverse logistics issues have become prominent in manufacturing organizations. As a result there is an increasing focus on green aspects of the supply chain to reduce environmental impacts and ensure environmental efficiency. This is largely driven by changes made in government rules and regulations with which organ...

Ecological sustainability has become a top priority for governments and business practitioners because of the massive surge in electronic waste (e-waste). This ecological context compelled firms to adopt reverse logistics (RL) invest advanced technologies with focus on sustainable recovery practices reducing excessive carbon emissions (CEs). study proposes multi-objective mixed integer programm...

Against global warming and environmental degradation, many interests have been paid to the studies popularly termed reverse, closed, green or sustainable logistics (Fiksel, 2010; Nikolopoulou and Ierapetritou, 2012; Srivastava, 2007). Recently, we concerned with a reverse logistics optimization in a practical manner (Shimizu and Sakaguchi, 2013) and deployed an idea for realizing an infrastruct...

In this paper, a bi-objective model is presented for dynamic and integrated network design of a new entrant competitive closed-loop supply chain. To consider dynamism and integration in the network design problem, multiple long-term periods are regarded during planning horizon, so that each long-term period includes several short-term periods. Furthermore, a chain to chain competition between t...

During the last decade, reverse logistics networks received a considerable attention due to economic importance and environmental regulations and customer awareness. Integration of leading and reverse logistics networks during logistical network design is one of the most important factors in supply chain. In this research, an Integer Linear Programming model is presented to design a multi-layer...

To effectively optimize multi-objective logistics distribution path, the distance and distance related customer satisfaction factor are used as the objective function, a novel kruskal crossover genetic algorithm (KCGA) for multi-objective logistics distribution path optimization is proposed. To test the optimization results, the terminal distribution model and the virtual logistics system opera...

A dynamic robust optimization model is established based on the objective of profit maximization to deal with the uncertainty of the problem through formulating a robust linear programming model. An equivalent robust optimization model using duality theory and auxiliary problem principle is obtained which allows the solutions to be derived more efficiently. Following the numerical simulation an...