Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries
Abstract
:1. Introduction
2. Literature Review
3. Municipal Waste Recovery and Disposal Categories vs. Reverse Logistics
- reduced,
- reused,
- repaired,
- recycled,
- recovered,
- composted,
- incinerated,
- landfilled.
4. The Role of Reverse Logistics
5. Packing and Recycling
- For hand washing detergents, dishwashing detergents and sprays made from 100% PCR (post-consumer recycled), 100% recycled plastic is used, i.e., all plastic bottles made from 1-PET. Compared to using pure plastic, PCR has about 70% less carbon footprint.
- 50% recycled plastic is used in 2-HDPE bottles, ranging from 25% PCR in our toilet cleaners to 50% PCR in our detergent with 8× magnification.
- Polyethene terephthalate is the easiest to recycle. It is widely used in beverage bottles and food packaging (PET or PETE).
- High-density polyethene usually is used recycled into plastic bottles and bags, also used for thicker bottles for motor oil, bleach, and hair products (HDPE).
- A thinner, low-density polyethene is used to make plastic freezer bags and grocery bags. It can be recycled back into plastic bags (LDPE).
- Polyvinyl chloride is difficult to recycle and is environmentally hazardous, but it is used to manufacture furniture and pipes (PVC).
- Fibre plastic—polypropylene can be recycled into fibre materials for further use in clothing, roper, and other ways (PP).
- Polystyrene is used to make packaging materials, foam cups and other lightweight products. Because of its low density, it is difficult to recycle, but it can be reused (PS).
- Other plastics include polymer fibres, acrylic, polycarbonate, nylon, and fibreglass.
6. Materials and Methods
- Producers, which decide which materials have to be used in products and in which volume, what should be their packing materials and what should be production methods;
- Retailers, which select and provide packing materials to consumers;
- Consumers, which apply to sort and products reuse practices;
- Logistics service providers implement a reverse logistics service management system.
- (1)
- Recycling of biowaste;
- (2)
- The recycling rate of e-waste;
- (3)
- The recycling rate of municipal waste;
- (4)
- The recycling rate of packaging waste by type of packaging.
7. Results
8. Discussion
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Appendix B
Full name | Abbreviation | Definition |
---|---|---|
Reverse logistics | RL |
|
Municipal solid waste | MSW |
|
Appendix C
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Thematic of Municipal Waste | |||
---|---|---|---|
Year | Literature of Reverse Logistics | Literature of Municipal Waste | Under the Literature of Reverse Logistics |
1994–1998 | 813 | 45,600 | 1 |
1999–2003 | 3460 | 46,300 | 5 |
2004–2008 | 8130 | 44,100 | 10 |
2009–2013 | 11800 | 46,600 | 117 |
2014–2018 | 36600 | 58,200 | 137 |
2019–2021 | 30200 | 61,700 | 173 |
Total | 91003 | 302,500 | 443 |
% | 100% | 0.49% |
Elements | References | |
---|---|---|
Essential elements of reverse logistics | Operation cost | [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42] |
Recapture value | [18,21,24,26,28,30,35,41] | |
Technical feasibility | [24,28,29,35,40,42,43,44] | |
Recycling network | [18,19,22,25,26,28,29,30,33,36,40,41,42,43,44,45,46,47,48] | |
Return cost | [25,30,32,35,42,43,49] | |
Remanufacturing network | [18,21,26,30,36,42,44,48,49,50] | |
Recovery value | [18,25,36,44,49,50] | |
Reuse network | [18,20,21,27,28,31,33,41,42,43,45,46,47,50] | |
Product recovery | [18,19,21,23,24,25,26,28,30,31,32,33,34,39,42,49,51,52] | |
Environmental impacts | [18,20,21,23,24,27,28,29,30,31,33,35,36,38,40,41,42,43,45,46,47,49,50,51,52,53] | |
Service management | [18,20,34,37,40,44,49,50,51,53] | |
Market demand | [18,19,30,32,34,37,44,50,53] | |
Sustainable development | [22,23,27,28,29,30,31,35,36,37,40,44,45,46,51,53,54] | |
Green effect | [20,22,23,24,25,26,27,34,35,36,37,39,40,44,45,46,49,51,52,54] | |
Product return | [18,21,23,24,25,30,31,32,34,35,36,39,41,42,45,48,49,54,55] | |
Closed loop supply chain | [24,25,26,29,30,32,35,40,42,50,51,52,55] | |
End-of-life product | [18,19,21,22,23,24,25,26,35,39,42,43,50,55] |
Elements | References | |
---|---|---|
Essential elements of MSW | Waste reusing | [18,26,31] |
Waste incineration | [21,23,28,32,42,47] | |
Air emission | [22,31,40,47] | |
Carbon footprint | [18,20,21,26,30,36,39,46,47,49] | |
Waste recycling | [19,21,32,35,37,39,51] | |
Waste disposal | [20,21,22,23,24,25,26,31,39,41,43,47,51] | |
Zero Waste | [21,32,47,51] | |
Responsible use | [24,26,31,35,40,41,45,46,51] | |
Waste treatment | [22,26,28,29,39,46,52] | |
Waste use for energy | [21,26,45,51,53] | |
Green image | [18,19,20,22,24,25,26,30,34,35,40,42,43,45,46,50,52,54] | |
Waste generation | [18,19,20,22,28,29,31,40,42,43,47,50,55] | |
Waste minimization (reduction) & recovery | [20,21,22,25,26,27,29,32,35,40,43,45,47,50,51,52,55] | |
Waste landfilling | [21,23,24,28,30,32,35,42,47,55] |
Model Type | Model Technique | Solution Method | References Discussing Reverse Logistics and Waste Collection |
---|---|---|---|
Mathematical programming method | Single objective | Linear programming | [62,63,64,65,66] |
Multiple objectives | Mixed-integer linear programming | [67,68,69,70,71,72] | |
Mixed-integer programming | [73,74] | ||
Multiple regression | [75,76] | ||
Analysis of hierarchical regression | [77] | ||
Fuzzy-goal programming | [78] | ||
Stochastic dynamic programming | [79] | ||
Non-linear programming | [80,81] | ||
Time series | Dynamic regression analysis | this study | |
Causal models | Causality identification methods | Causal effect modelling | [82] |
Diagram of causal systems | [83] | ||
Heuristic methods | Simple heuristic | Simulated annealing heuristics | [84] |
Artificial intelligence techniques | Markov chain | [85] | |
Object-oriented Petri nets | [86] | ||
Bayesian network modelling | [87] | ||
Fuzzy logic | [88] | ||
Rough sets | [89] | ||
Neighbourhood rough sets | [90] | ||
Metaheuristic | Genetic Algorithm Multi-objective evolutionary Algorithm Multi-objective differential evolution algorithm Particle swarm optimisation Ant Colony Optimization | [91,92,93,94,95,96] | |
Analytical models | Multi-criteria decision making | Analytical hierarchy process | [97] |
DEMATEL | [98] | ||
Analytical models | Systematic models | Delphi method | [55,99] |
Network model | [100] | ||
References Discussng Reverse Logistics and Waste Collection | Description of Study | ||
[62] | Linear model is constructed for co-collecting separated waste streams and for integrating reverse logistics delivery and collection activities. | ||
[63] | Linear model is presented production-recycling-reuse of plastic beverage bottles in the context of reverse logistics and waste management. | ||
[64] | A manufacturing/remanufacturing inventory model is formed with waste disposal and developed reverse logistics process for energy used. | ||
[65] | Linear programming model presents the impact of waste pickers activities result on the reverse MSW logistics network. | ||
[66] | Model is suggested for integrated forward-reverse logistics with carbon footprint considerations. | ||
[67] | MILP model includes reverse logistics networks for returned medical waste seeking to improve medical waste management. | ||
[68] | Reverse logistics network is constructed that sources end-of-life products. | ||
[69] | Model is developed for the planning and management of the electronic waste collection system in the city of Genoa. | ||
[70] | MILP model is formed for determining the best WEEE recycling offer price by determining reverse logistics operation planning strategies. | ||
[71] | Optimization reverse logistics activities are described with MILP model of end-of-life vehicle recycling. | ||
[72] | Model is developed to determine which recycling strategy is should be selected for commercial waste. | ||
[73] | Heuristics is suggested for the configuration of reverse logisticsnetworks serving the recycling of electronic appliances and computers. | ||
[74] | Regression method is used to investigate the relationship between food firm competitiveness and reverse logistics attributes important for waste management. | ||
[75] | Major factors are examined that may influence industries toimplement reverse logistics, among which is the regulation of the waste amount. | ||
[76] | Four-step hierarchical regression analysis is used seeking to motivate firms to implement reverse logistics to handle e-waste. | ||
[77] | Fuzzy goal programming is presented for a lead/acid battery reverse logistics network design. | ||
[78] | Model of stochastic dynamic programming is presented for reverse logistics interaction with production planning of the re-manufacturing system, determining the amount of recycled waste. | ||
[79] | Non-linear model of multifunctional reverse logistics is constructed for planning and design of an optimal computer waste management system. | ||
[81] | Causal effect model is proposed to describe the need for the collection of agricultural waste (i.e., pesticide packaging). | ||
[82] | Diagram of the causal system is used to create a new WEEE handling system based on two flows a forward and reverse logistics flows. | ||
[83] | Simulated annealing algorithm is tailored to generate a solution using the output of an e-recycling reverse logistics network. | ||
[84] | Markov chain approach is used for presenting retailer reverse logistics which deals with waste handling. | ||
[85] | Petri net forecasting model is suggested for household waste and model reverse logistics network. | ||
[86] | Bayesian network is constructed for the reverse logistics that are used for product recovery and waste reduction. | ||
[87] | Simulation model is presented for reverse logistics network collecting end-of-life appliances. | ||
[88] | Rough set theory is applied to reduce the complexity of the RL for the company involved in waste management. | ||
[89] | Neighborhood rough set conceptual application is developed for management decisions within the context of reverse logistics and defective products. | ||
[90] | Genetic algorithm is presented to model the reverse logistics network for medical waste management. | ||
[91] | Model is constructed for the selection of solid waste transfer stations under a reverse logistics network. | ||
[92] | Optimization of the flow distribution of e-waste reverse logistics network is researched to obtain Pareto optimum solution with an evolutionary algorithm. | ||
[93] | Differential evolution algorithm is used to design product return network to balance costs and loads. | ||
[94] | Reverse logistics network optimization model is proposed which fully considered environment effect and the waste recycling factors. | ||
[95] | Model of multi-objective ant colony optimization (MACO) algorithm is suggested for reducing reverse logistics cost considering environmental factors was verified through a simulation on waste textile product reverse logistics. | ||
[96] | AHP technique is proposed for the decision-making process to evaluate strategies for obtaining optimal strategies in reverse logistics that collects used products as a waste. | ||
[97] | DEMATEL technique is suggested as a decision-making tool used to design reverse logistics for collecting textile waste. | ||
[55] | Delphi method is used to develop a model to select the most appropriate firms for the treatment of infectious waste objectively and efficiently. | ||
[98] | Solution is proposed for assessing the green practices including reverse logistics and use of waste. | ||
[99] | Network model is presented to rank the alternatives for implementing the process of reverse logistics, which include three major stages: waste collecting, sorting and reprocessing. |
MSW Source | Types of Solid Waste | Description |
---|---|---|
Agriculture | Solid waste, which includes waste from the food and meat processing industries, industrial, agricultural, yard, garden and plant debris, and medical solid waste, as well as hazardous solid and chemical waste | Agricultural activities associated with the preparation, production, storage, processing, and consumption of agricultural products, livestock, and processed products generally generate solid agrarian waste. |
Commercial | Food wastes, metals, glass, special wastes, plastics, paper, cardboard, wood, hazardous wastes | Commercial Waste or MSW is produced in businesses and includes general waste, mixed dry recyclables and organic waste. |
Household | Textiles, food wastes, metals, glass, special wastes (batteries, consumer electronics, oil, tires, bulky items), plastics, paper, cardboard, wood, ashes, household hazardous wastes | Household Waste or MSW is produced in our homes and includes general waste, mixed dry recyclables and organic waste. |
Institutional | Food wastes, metals, glass, special wastes, plastics, paper, cardboard, wood, hazardous wastes | Actions address waste materials originating in institutional facilities, such as government offices, schools, hospitals, nursing homes, correctional facilities, research institutions and public buildings. |
Municipal service | Street-cleaning residues, trimmings landscape and trees, collecting general wastes from recreational areas (such as parks, beaches, etc.) | Household waste and waste of a similar type and composition are taken into account by municipal waste. |
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
---|---|---|---|---|---|---|---|---|---|---|
million tones | ||||||||||
Recycling | 55 | 56 | 58 | 56 | 59 | 63 | 65 | 66 | 67 | 68 |
Composting | 29 | 29 | 30 | 31 | 33 | 33 | 36 | 38 | 38 | 39 |
Incineration | 53 | 55 | 54 | 56 | 57 | 57 | 58 | 59 | 59 | 60 |
Landfill | 79 | 74 | 67 | 63 | 59 | 57 | 54 | 53 | 52 | 53 |
Other | 6 | 6 | 6 | 5 | 4 | 4 | 5 | 6 | 6 | 4 |
kg per capita | ||||||||||
Recycling | 125 | 128 | 130 | 128 | 134 | 141 | 146 | 148 | 149 | 152 |
Composting | 66 | 66 | 69 | 71 | 73 | 75 | 82 | 85 | 84 | 87 |
Incineration | 121 | 125 | 122 | 127 | 128 | 128 | 131 | 132 | 132 | 134 |
Landfill | 178 | 167 | 153 | 142 | 134 | 127 | 121 | 118 | 116 | 119 |
Other | 13 | 13 | 14 | 10 | 9 | 9 | 10 | 13 | 13 | 10 |
Materials in | Reverse Logistics Serves such Activities |
---|---|
Package & Products | Reduce Reuse Repair Recycle Recover Compost Incinerate Landfill |
Packaging Types | Packaging Methods | Description |
---|---|---|
Anti-corrosive Packaging |
| Corrosion protection packaging should protect products from corrosion and avoid lengthy operations. Various materials are used to protect goods from the effects of different climatic conditions, such as paper, oil, bubble wrap with VCI, chips and bags, which are used as part of the anti-corrosion package. |
Packaging of Pharma [50] |
| During packaging of drugs or pharmaceuticals, the package goes through processes from production plants via distributing companies to end consumers. The package of pharmaceutical products is designed to ensure drug safety, ease of use and product safety upon delivery. The primary purpose of pharma packaging is to equip vital medicines for surgical devices, blood and blood products, liquid and bulk dosage forms, and solid and semi-solid dosage forms while maintaining their original condition and properties. The packaging described is used for delivery, etc. |
Plastics Packaging [51] |
| Plastic packaging is mainly used for packaging various items such as fragile or non-perishable products. In addition, plastic packaging materials are used for coating materials or plastic-related products. For reuse in their factories, most plastic packaging companies recycle waste or plastic waste and offer alternatives. |
Flexible Packaging [52] | Recycling of such types *:
| Flexible packaging can be easily reshaped and defined as any packaging. If you choose flexible packaging, it has some benefits:
|
Plastics Types | Examples of Applications |
---|---|
Polyethene terephthalate (PET or PETE) | Fizzy bottles, bleach, cleaners and most shampoo bottles |
High-density polyethene (HDPE) | Most shampoo and cleaner bottles, bleach, milk bottles |
Polyvinyl chloride (PVC) | Thermal insulation (PVC foam) and auto parts, fittings, pipes, door and window frames (hard PVC) |
A thinner, low-density polyethene (LDPE) | Bin liners, packaging films, carrier bags |
Fibre plastic—polypropylene (PP) | Microwave-safe food bowls, margarine barrels, carpet fibres and threads, wall coverings and upholstery for automobiles |
Polystyrene (PS) | The insulating material in construction, foam boxes for eggs and hamburgers, plastic cutlery and plastic cups for yoghurt, protective packaging for electronic items and toys |
Other plastics | Plastics that do not fall into any of the categories listed above, such as B. Polycarbonate, which is widely used in the aerospace industry for glazing |
Level | Relationship to Reverse Logistics | Description of Municipal Waste Generation Minimisation by Stages | The Application of Methods | Links with Sustainability |
---|---|---|---|---|
1st level Use of environmentally friendly materials | The physical system supports the production and the reduction of the use of material. |
|
|
|
2nd level Collection of municipal waste | The physical system is used for the collection of municipal waste from end-users. |
|
|
|
3rd level Transformation of collected municipal waste | The physical system that supports recycling. |
|
|
|
Covariance Analysis: Ordinary | |||||
Sample: 56 577 | |||||
Included observations: 40 | |||||
Recycling of biowaste | Recycling rate of e-waste | Recycling rate of municipal waste | Recycling rate of packaging waste by type of packaging | ||
Recycling of biowaste | Correlation coeficient | 1.0 | |||
Probability | - | ||||
Recycling rate of e-waste | Correlation coeficient | −0.08 | 1.0 | ||
Probability | 0.59 | - | |||
Recycling rate of e-waste (−1) | Correlation coeficient | 0.10 | 0.10 | ||
Probability | 0.52 | 0.53 | |||
Recycling rate of municipal waste | Correlation coeficient | 0.86 | −0.17 | 1.0 | |
Probability | 0,0 | 0.26 | - | ||
Recycling rate of municipal waste (−1) | Correlation coeficient | 0.26 | 0.31 | 0.38 | |
Probability | 0.09 | 0.04 | 0.01 | ||
Recycling rate of packaging waste by type of packaging | Correlation coeficient | 0.36 | −0.07 | 0.54 | 1.0 |
Probability | 0.02 | 0.65 | 0.00 | - | |
Recycling rate of packaging waste by type of packaging (−1) | Correlation coeficient | −0.15 | 0.17 | −0.06 | −0.24 |
Probability | 0.35 | 0.29 | 0.70 | 0.12 |
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Lingaitienė, O.; Burinskienė, A.; Davidavičienė, V. Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries. Sustainability 2022, 14, 1809. https://doi.org/10.3390/su14031809
Lingaitienė O, Burinskienė A, Davidavičienė V. Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries. Sustainability. 2022; 14(3):1809. https://doi.org/10.3390/su14031809
Chicago/Turabian StyleLingaitienė, Olga, Aurelija Burinskienė, and Vida Davidavičienė. 2022. "Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries" Sustainability 14, no. 3: 1809. https://doi.org/10.3390/su14031809