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4347. Optimal Planning Tool for Agricultural Waste Management in Vietnam (OPT-AWAMA)

Invited abstract in session MC-2: EEPA, stream EURO Excellence in Practice Award.

Monday, 12:30-14:00
Room: Glassalen (building: 101)

Authors (first author is the speaker)

1. Trung Hieu Tran
School of Water, Energy and Environment, Cranfield University
2. Thi Thu Ba Nguyen
University of Bedfordshire
3. Thi Hoa Sen Le
Hue University of Agriculture and Forestry (HUAF)
4. Duc Chính Phùng
VIET NAM INSTITUTE OF METEOROLOGY, HYDROLOGY AND CLIMATE CHANGE
5. Hoai Chung Pham
Transport and Development Strategy Institute
6. Phuong Le Nguyen
Hanoi University of Agriculture (HUA)
7. Thi Anh Phuong Huynh
Faculty of Sociology and Social Work, Hue University of Sciences

Abstract

Vietnam's agricultural sectors have rapidly developed to become major contributions to the growth of economy (e.g., in 2019, Vietnam’s rice export revenue achieved US$1.4 billion). Accompanying the development, however, agricultural waste management in Vietnam (i.e., approximately 76 million tons including 45.22 million tons of rice straw, 8.73 million tons of rice husk, 4.04 million tons of sugarcane bagasse, 6.33 million tons of maize by-products, 1 million tons of coffee shell and 10 million tons of vegetable by-products) has become a challenging issue for rural planners due to the lack of an efficient planning tool and impacts of climate change. As a result, it has increasingly caused air and water pollution in many rural areas of the country. In this project, we thus collaborated with Vietnam institutions (including Hue University of Agriculture and Forestry, Institute of Meteorology, Hydrology and Climate Change, and Transport and Development Strategy Institute) to develop a proof-of-concept planning model for rural planners to optimally locate facilities that produce bio-organic fertilizer from waste, and to determine the optimal set of routes for a fleet of vehicles to collect and transport the waste from farms to facilities. In the novel location-assignment-routing problem, we investigated unreliability in facility location and vehicle routing planning due to the risk of disruptions to location sites and roads (i.e., unexpected failure of location sites and roads due to flood impact). The model aims to minimise total expected cost of locating facilities and routing vehicles under the risk of disruptions (due to flood impact) such that the amount of waste at farms is totally collected. A robust mixed-integer nonlinear programming model for this problem was formulated. The model was further generalised to a multi-period planning problem given limited periodic budgets of locating facilities and deploying vehicles. The model was linearized so that it can be solved using a general-purpose solver. In addition, a meta-heuristic algorithm was developed to solve the large-scale instances within a reasonable computation time. Finally, the model was applied for agricultural waste management in Quang Tri province, Vietnam.

Keywords

Status: accepted

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