In recent years, the issue of food packaging waste has become a vital environmental concern in the society which revolves around waste management practices particularly among food hawkers. The problem has been highlighted by many researchers and numerous suggestions have been made in order to improve sustainability with regard to green environment. Food packaging waste ranks the highest contributor to waste. Thus, environmentally friendly food packaging (EFFP) has been introduced in the market to ensure good management practices could be promoted among food hawkers so that environmental pollution can be reduced. However, even though many environmental programs have been implemented, the usage of EFFP among food hawkers has not improved. Hence, this paper aims to propose a specific actual behavior model to determine the usage of EFFP among food hawkers with personal value as a mediator. The development of the model used data that were collected from local food hawkers. Structural equation modeling was used to test related hypotheses. The findings indicated that personal values were a suitable mediator construct. Furthermore, attitudes, subjective norm, and perceived behavioral were all found to have had significant effects on the in-tention to use and the actual behavior. Finally, this paper also discusses the limitations of the present study and the contribution it has made.

The paper shows the results of an empirical study on the optimization of polymer waste supply chains based on the circular economy in Ukraine. The research shows that the main links in the activity should be harmonized for quality and quick optimization of polymer waste supply chains, including the processes of collecting, sorting, treatment, processing, and recycling of resources for maintaining the quality by total cost reduction. The research argues that the circular economy that stipulates the easy processing, recycling, disassembling, and restoring of products replaced the traditional linear model “take, produce, and throw out” that has dominated the economy by now. The study shows that the transformation of supply chains in production ecosystems forms competitive advantages at the enterprises that allow them to be more productive through efficient use of resources.

Plastic bags are used by many people because they are inexpensive, lightweight, durable, and waterproof. Plastic bags, on the other hand, do not break down and can pollute the environment if not handled properly. Indonesia produces a lot of plastic waste and is one of the top ten countries that has a problem with plastic waste. In this study, we used three months of data of real transactions from a grocery store. This study shows how the decision tree can identify patterns on plastic bag usage at a small grocery store by using demography and products purchase. The attribute weights showed that in the hometown, the total of several products bought were the factors that affected the use of plastic bags.

Waste collection is an important municipal service that charges large expenditures to waste management (WM) system. In this study, a hierarchical structure is proposed in order to minimize total cost of waste collection routing problem. Moreover, in second stage destructive environmental effects of waste transportation are minimized concurrently through taking advantage of a road/rail transportation system. In the proposed multimodal transportation system, waste packs are transferred to final destination while travel time and risk of environmental threatening is minimized. The discussed problem is formulated mathematically in two stages. In the first stage, a household waste collection routing problem is formulated while, in second stage a multimodal transportation system is routed to transfer waste packs to final destination through roads and railroads. In order to solve the proposed NP hard models, an improved genetic algorithm is developed. Comparison of the obtained results with those of GAMS for small-size samples validates the proposed models.

Generation of solid waste is the integral consequence of civilization and its management is stand-ing as a big challenge in front of state government at present time. Municipal solid waste in Durg-Bhilai is littered with improper places due to lack of understanding about the scientific im-portance of garbage and its consequences. Our foremost concern is the selection of appropriate dumping area nearby Durg-Bhilai (C.G.) and for the selection of appropriate dumping area, a multi criteria decision making technique is used. This paper attempts to evaluate 4 dumping areas based on 5 criteria. Analytical hierarchy process (AHP) is used to determine the weighs for each criterion and quality function deployment (QFD) is also implemented. The results indicate that Potiyakala was the best dumping site nearby Durg-Bhilai area.