Smart Waste Management System

Advances in Civil and Industrial Engineering - Big Data Analytics for Smart and Connected Cities ◽

10.4018/978-1-5225-6207-8.ch010 ◽

2019 ◽

pp. 229-242

Author(s):

S. Umamaheswari

Keyword(s):

Developing Countries ◽

Waste Management ◽

Management System ◽

Smart Cities ◽

Smart Devices ◽

The Internet ◽

Direct Communication ◽

Waste Management System ◽

Fill Level ◽

The Cost

Smart connected devices are emerging from the internet today. These devices are embedded with intelligence due to the development in technology. These intelligent (smart) devices are capable of interacting with humans and other smart devices, which has led to the development of “Internet of Things” (IoT). The environment can be made smart and self-aware by the direct communication between more and more devices that are part of the IoT. The IoT concept can be applied to design a smart waste management system that makes the environment clean. A smart cities project has been initiated in most developing countries. Waste management is one of the prime components of the smart city. Garbage bins can be made intelligent, so that the fill level of the bins can be sensed, and the waste can be collected. This system will minimize the time and the cost of collecting waste.

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Waste Management System for Smart City Using IoT

The IoT and the Next Revolutions Automating the World - Advances in Web Technologies and Engineering ◽

10.4018/978-1-5225-9246-4.ch001 ◽

2019 ◽

pp. 1-15

Author(s):

Golden Julie E.

Keyword(s):

Cloud Computing ◽

Big Data ◽

Internet Of Things ◽

Waste Management ◽

Smart City ◽

Management System ◽

Smart Cities ◽

Smart Devices ◽

Construction Technology ◽

Waste Management System

In the present scenario, sensors place a major role for implementing smart devices. Internet of Things (IoT) is an advancement of sensors which can communicate with non-communicate things (devices). Many of the developed counties are using smartness in creating and communicating devices using IoT. In India, major challenges focus on how and where to implement smartness. Hence, authors found some different areas like healthcare, education, transport, water, energy, communication, security & safety, citizen services, and so on. All these areas are covered by a smart way using recent technology (IoT) in smart cities concepts. Various technologies like IoT, Big Data, and cloud computing are used for constructing smartness in the form of devices. In this Chapter, authors focus on a smart waste management system using IoT. They provide various smart bin construction technology, advantages, standards and challenges in detail. It is very useful to the reader to understand the various method of waste management in smart cities development using IoT.

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Determinants of Willingness to Pay for Improved Solid Waste Management System in Lekhnath, Kaski, Nepal

Janapriya Journal of Interdisciplinary Studies ◽

10.3126/jjis.v6i0.19305 ◽

2018 ◽

Vol 6 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Ananta Raj Dhungana

Keyword(s):

Developing Countries ◽

Waste Management ◽

Willingness To Pay ◽

Solid Waste ◽

Management System ◽

Solid Waste Management ◽

Family Type ◽

Waste Management System ◽

Solid Waste Management System ◽

At Home

Solid waste management is one of the developmental challenges facing city authorities worldwide, especially in most developing countries. Rapid urbanization has made solid waste management a serious problem in poor and developing countries. This study aims to analyze the determinants of willingness to pay for improved solid waste management system. For this purpose, two hundred and seventeen Households were selected in Lekhnath, Kaski, Nepal. Pre-structured questionnaire was used to collect the data. Data was collected by using systematic random sampling techniques. Multiple Linear Regression analysis was used to find the determinants of willingness to pay for improved solid waste management system. The tentative average wastes produced per day from their house is one kilogram with minimum one hundred gram and maximum ten kilogram per day. Main disposal method/site for solid waste management of majority of the respondents is Burn followed by cannal, near open places, send in waste management vehicle, road side and rivulets. Almost all of the respondents are not satisfied with the community responsible for solid waste management in the study area. The average amount that the respondents have willingness to pay for solid waste management system is Rs 56.84 per month. Further, it is found that Having any member abroad, Remittance received in last one year and House ownership are the major determining factors for willingness to pay for improved solid waste management system in the study area. However, other factors like Sex of the respondents, age of the respondents, family size, Family type, Caste/ethnicity, education of the respondents, Total number of employed person at home, Total number of literate person at home, Major occupation of the respondents, tentative weight of accumulated solid waste per day, Monthly Income of household, Visit at any hotel/restaurant during last 12 months, and Having any livestock at household do not have any significant impact on willingness to pay for improved solid waste management system. Janapriya Journal of Interdisciplinary Studies, Vol. 6 (December 2017)

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Supply chain analysis of e-waste processing plants in developing countries

Waste Management & Research ◽

10.1177/0734242x19886633 ◽

2019 ◽

Vol 38 (2) ◽

pp. 173-183 ◽

Cited By ~ 3

Author(s):

Rahul Baidya ◽

Biswajit Debnath ◽

Sadhan Kumar Ghosh ◽

Seung-Whee Rhee

Keyword(s):

Developing Countries ◽

Supply Chain ◽

Waste Management ◽

Management System ◽

Quality Function Deployment ◽

Multiple Criteria Decision Making ◽

Field Studies ◽

Waste Processing ◽

Waste Management System ◽

Processing Plants

e-Waste is generated at the staggering rate of 6.1 kg per person. In 2016, 44.7 million tonnes was generated globally, and the amount is estimated to reach 52 million tonnes annually by 2021. The management of this huge quantity of e-waste is a major problem across the world, primarily in developing countries. An effective e-waste management system is linked to the sustainability of e-waste processing plants, and currently it is plagued with different supply chain network (SCN) issues. To address the issues and challenges of SCN, there is a need to prioritize and address the constructs. The study thus combines two multiple criteria decision making (MCDM) tools, the analytical hierarchy process (AHP) and quality function deployment, to prioritize the constructs identified from literature and supported by field studies. The house of quality (HOQ) has been used for analyzing different stakeholders’ requirements. The degree of importance for HOQ-1 has been derived using the AHP tool. The study revealed the most intriguing issues and challenges of e-waste processing plants considering the requirements of different stakeholders. The results showed formal collection, storage, semi-informal collection, and e-waste quality to be the major issues of processing plants. The findings obtained from MCDM analysis have been validated though two case studies in India and China. If the results obtained are applied to the existing e-waste SCN, a holistic e-waste management system can be achieved for developing countries.

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