scholarly journals The dynamic two-echelon MSW disposal system study under uncertainty in smart city

2021 ◽  
pp. 25-25
Author(s):  
Feng Dai ◽  
Gui-Hua Nie ◽  
Chen Yi
Keyword(s):  
Environmental Impact ◽  
Municipal Solid Waste ◽  
Smart City ◽  
Numerical Experiments ◽  
Optimal Allocation ◽  
System Study ◽  
Allocation Model ◽  
Sorting Method ◽  
Proposed Model ◽  
Incineration Residues

The municipal solid waste (MSW) disposal system is the key for building the smart city. In the MSW disposal system, the MSW is allocated among the disposal plants in the first echelon, and then the derivatives (incineration residues and RDF) are allocated between residues disposal plants and markets in the second echelon. In the two-echelon optimal allocation of MSW disposal system, two objectives, cost and environmental impact, should be considered. Considering the uncertainty in the MSW disposal system, this paper constructs a grey fuzzy multi-objective two-echelon MSW allocation model. The model is divided into two sub models and the expected value sorting method is applied to solve the model. The proposed model successfully was applied to a real case in Huangshi, China. The numerical experiments showed RDF technology has advantages on both cost and environmental impact comparing to other disposal technology on disposing MSW.

Physical programming and conjoint analysis-based redundancy allocation in multistate systems: A Taguchi embedded algorithm selection and control (TAS&C) approach

2009 ◽  
Vol 223 (3) ◽  
pp. 215-232 ◽  
Author(s):  
V V Kumar ◽  
M Tripathi ◽  
M K Pandey ◽  
M K Tiwari
Keyword(s):  
Conjoint Analysis ◽  
Optimal Allocation ◽  
Programming Approach ◽  
Primary Concern ◽  
Algorithm Selection ◽  
Allocation Model ◽  
Redundancy Allocation ◽  
Physical Programming ◽  
Proposed Model ◽  
And Control

Amidst increasing system complexity and technological advancements, the manufacturer aims to win the consumer's trust to maintain his or her permanent goodwill. This expectation directs the manufacturer to address the problem of attaining desired quality and reliability standards; hence, the measure of performance of a system in terms of reliability and utility optimization poses an issue of primary concern. In order to meet the requirement of a reliable and trouble-free product, optimal allocation of all conflicting parameters is essential during the design phase of a system. With this in mind, this paper presents a physical programming and conjoint analysis-based redundancy allocation model (PPCA-RAM) for a multistate series—parallel system. Use of physical programming approach is the key feature of the proposed algorithm to eliminate the need for multi-objective optimization. Physical programming methodology provides an adequate balance among various associated performance measures and thus provides an efficient tool for formulating the objective function of a practical redundancy allocation problem. The proposed model has been addressed by a novel methodology called Taguchi embedded algorithm selection and control (TAS&C). An illustrative example has been presented to authenticate the efficiency of the proposed model and algorithm. The results obtained are compared with the genetic algorithm (GA), artificial immune system (AIS), and particle swarm optimization (PSO), where TAS&C was seen to significantly outperform the rest.

Environmental impact assessment of organic fraction of municipal solid waste treatment by anaerobic digestion in Sri Lanka

2021 ◽  
pp. 0734242X2110134
Author(s):  
Rasangika Thathsaranee Weligama Thuppahige ◽  
Sandhya Babel
Keyword(s):  
Anaerobic Digestion ◽  
Sri Lanka ◽  
Environmental Impact ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Resource Scarcity ◽  
Policy Formation ◽  
Ozone Formation ◽  
Organic Fraction ◽  
Management Options

The management of organic fraction of municipal solid waste (OFMSW) has continued to be a significant challenge in Sri Lanka. Anaerobic digestion is one of the management options of OFMSW. However, it generates unavoidable environmental impacts that should be addressed. The present study focuses to assess the environmental impact of a full-scale anaerobic digestion plant in Sri Lanka from a life cycle perspective. The inventory data were obtained from direct interviews and field measurements. Environmental burdens were found to be in terms of global warming potential (230 kg CO2 eq) ozone formation on human health (6.15 × 10−6 kg NO x eq), freshwater eutrophication (2.92 × 10−3 kg P eq), freshwater ecotoxicity (9.27 × 10−5 kg 1,4 DCB eq), human carcinogenic toxicity (3.98 × 10−4 kg 1,4 DCB eq), land use (1.32 × 10−4 m2 a crop eq) and water consumption (2.23 × 10−2 m3). The stratospheric ozone depletion, fine particulate matter formation, ozone formation on terrestrial ecosystems, terrestrial acidification, marine eutrophication, ecotoxicity (terrestrial and marine), human non-carcinogenic toxicity, mineral resource scarcity and fossil resource scarcity, were avoided due to electricity production. Results show that the direct gaseous emissions and digestate generation should be addressed in order to reduce the burdens from the anaerobic digestion plant. Finally, the results of the study could help in policy formation and decision-making in selecting future waste management systems in Sri Lanka.

The sustainability of urban renewal projects: a model for economic multi-criteria analysis

2017 ◽  
Vol 35 (4) ◽  
pp. 397-409 ◽  
Author(s):  
Antonio Nesticò ◽  
Francesco Sica
Keyword(s):  
Sustainable Development ◽  
Urban Renewal ◽  
Environmental Sustainability ◽  
Optimal Allocation ◽  
Content Type ◽  
The Sustainable Development ◽  
Compromise Solutions ◽  
Selection Processes ◽  
Proposed Model ◽  
Investment Programme

Purpose The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources. Design/methodology/approach The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability. Findings The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature. Research limitations/implications All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences. Practical implications The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area. Social implications The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory. Originality/value Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

Mathematical Models for Predicting and Managing Water Resources — The Case of China in 2025

2013 ◽  
Vol 448-453 ◽  
pp. 995-1001
Author(s):  
Ning Na Wang ◽  
Qin Lin Zhou
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Decision Makers ◽  
Grey System ◽  
Allocation Model ◽  
Water Supply Management ◽  
Generate Solution ◽  
Major Factors

An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.

scholarly journals Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

Agronomy ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 724
Author(s):  
Yiping Jiang ◽  
Bei Bian ◽  
Lingling Li
Keyword(s):  
Genetic Algorithm ◽  
Numerical Experiments ◽  
Programming Model ◽  
Time Windows ◽  
Sensitivity Analyses ◽  
Postharvest Quality ◽  
Online Retailing ◽  
Quality Deterioration ◽  
Distribution Scheduling ◽  
Proposed Model

With the rise of vegetable online retailing in recent years, the fulfillment of vegetable online orders has been receiving more and more attention. This paper addresses an integrated optimization model for harvest and farm-to-door distribution scheduling for vegetable online retailing. Firstly, we capture the perishable property of vegetables, and model it as a quadratic postharvest quality deterioration function. Then, we incorporate the postharvest quality deterioration function into the integrated harvest and farm-to-door distribution scheduling and formulate it as a quadratic vehicle routing programming model with time windows. Next, we propose a genetic algorithm with adaptive operators (GAAO) to solve the model. Finally, we carry out numerical experiments to verify the performance of the proposed model and algorithm, and report the results of numerical experiments and sensitivity analyses.

scholarly journals Modeling and Resolution of the Allocation Problem of the Time Slots in Dakar Airport

2017 ◽  
Vol 9 (3) ◽  
pp. 30
Author(s):  
Youssouf Ahamada ◽  
Salimata G. Diagne ◽  
Amadou Coulibaly ◽  
D'ethi'e Dione ◽  
N'dogotar Nlio ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Linear Model ◽  
Optimal Allocation ◽  
Allocation Problem ◽  
Quality Service ◽  
Unmet Demand ◽  
Proposed Model ◽  
Optimal Quality ◽  
Leopold Sedar Senghor

In this article, we proposed a programming linear model in integer numbers(PLIN) for the optimal allocation of the time slots in the  international  Leopold Sedar Senghor airport of Dakar (L.S.S). The slots  are specific allocated periods which allow an aircraft to land or take off in a saturated airport. Their attribution depends on theconfiguration of the airport, more particularly on its capacity. We maximize the confirmed demand in each slot and take the number of aircrafts and the number of manageable passengers with an optimal quality service into account. We used the CPLEX software so that to test the effectiveness of the linear model. Firstly, in the proposed model linear in integer numbers, any unmet demand was isolated. Secondly, the rejected demands  by introducing a model and an algorithm of resolution based on the dynamic programming.

scholarly journals Study on Double-Level Allocation of Irrigation Water Rights

2021 ◽  
Author(s):  
Xinjian Guan ◽  
Qiongying Du ◽  
Wenge Zhang ◽  
Baoyong Wang
Keyword(s):  
Water Resources ◽  
Water Consumption ◽  
Optimal Allocation ◽  
Water Rights ◽  
Scientific Basis ◽  
Water Saving ◽  
Irrigation District ◽  
Allocation Model ◽  
Irrigation Area ◽  
Irrigation Districts

Abstract Establishing and perfecting the water rights system is an important way to alleviate the shortage of water resources and realize the optimal allocation of water resources. Agriculture is an important user of water in various water-consumption industries, the confirmation of water rights in irrigation districts to farmers is the inevitable requirement for implementing fine irrigation in agricultural production. In this paper, a double-level water rights allocation model of national canals – farmer households in irrigation district is established. It takes into account the current water consumption of the canal system, the future water-saving potential and the constraint of total amount control at the canal level. It takes into account the asymmetric information of farmer households’ population and irrigation area at the farmer household level. Furthermore, the Gini coefficient method is used to construct the water rights allocation model among farmer households based on the principle of fairness. Finally, Wulanbuhe Irrigation Area in the Hetao Irrigation Area of Inner Mongolia is taken as an example. The results show that the allocated water rights of the national canals in the irrigation district are less than the current because of water-saving measures and water rights of farmer household get compensation or cut respectively. The research has fully tapped the water-saving potential of irrigation districts, refined the distribution of water rights of farmers and can provide a scientific basis for the development of water rights allocation in irrigation districts and water rights transactions between farmers.

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