A stochastic programming model for a tactical solid waste management problem

2019 ◽  
Vol 273 (2) ◽  
pp. 684-694 ◽  
Author(s):  
Claudio Gambella ◽  
Francesca Maggioni ◽  
Daniele Vigo
Keyword(s):  
Stochastic Programming ◽  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Programming Model ◽  
Management Problem ◽  
Stochastic Programming Model

scholarly journals DEVELOPING AND OPTIMISING AN URBAN INTEGRATED SOLID WASTE MANAGEMENT MODEL: EFFECT OF TRANSFER STATIONS

2020 ◽  
pp. 119-131
Author(s):  
Koushik Paul ◽  
Subhasish Chattopadhyay ◽  
Amit Dutta ◽  
Akhouri Pramod Krishna ◽  
Subhabrata Ray
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Programming Model ◽  
Management Problem ◽  
Management Options ◽  
Support Tool ◽  
Integrated Solid Waste Management ◽  
Environmental Objectives ◽  
Transfer Stations

Solid waste management (SWM) is among the poorly rendered services in developing countries — limited resources, increasing population, rapid urbanisation and application of unscientific, outdated systems leads to inefficiency. Lack of proper planning and inadequate data regarding solid waste generation and collection compound the solid waste management problem. Given the large number of available waste management options and the inter-relationships among them, identifying SWM strategies that satisfy economic or environmental objectives is a complex task. The paper integrates the effects of transfer station(s) to a mathematical model developed for a municipal Integrated Solid Waste Management (ISWM) system and focusses on the effect of inclusion of transfer stations on the overall efficiency and cost-effectiveness of an ISWM system. The model then serves as decision support tool to evaluate various waste management alternatives and identifies the least cost optimal combination of technologies for the collection, transport, treatment and disposal of waste. The constraints include those linking waste flows and mass balance, processing plants capacity, landfill capacity, transport vehicle capacity and number of trips. The linear programming model integrating different functional elements was solved by LINGO optimisation software and various possible waste management options were considered during analysis.

scholarly journals The SWOT analysis for sustainable MSWM and minimization practices in Turkey

2018 ◽  
Vol 20 (1) ◽  
pp. 83-87 ◽  
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Management Practices ◽  
Swot Analysis ◽  
Solid Waste Management ◽  
Solid Wastes ◽  
Municipal Solid Waste Management ◽  
Management Problem ◽  
Municipal Solid Wastes ◽  
Waste Management Practices

One of the most important environmental problems is municipal solid waste management (MSWM) as a result of the rapid rise in waste generation due to industrialization, economic development, urbanization, and rapid population growth in Turkey. The collection, transportation, and disposal of solid waste are conducted by municipal authorities of Turkey. The waste management problem is getting more serious due to some reasons such as lack of enforcement of regulations, weak technical and financial resources, poor infrastructure, insufficient policies and deficiency of political priorities, poor coordination between authorities. Hence, despite the legislation, municipal solid wastes are managed in an unscientific manner by the municipalities. The SWOT analysis is a perfect tool to discover the possibilities and ways for successfully implementing the MSWM. In this study, SWOT analysis carried out both negative and positive concerns of MSWM. A successful strategic management has been identified from the SWOT analysis for the municipal solid wastes. Further, the study proposes options based on SWOT analysis approach to improve in available waste management practices that could also be adopted by other countries to decrease the adverse effect of MSW on human and environment health.

scholarly journals A Discrete Stochastic Programming Model to Estimate Optimal Burning Schedules on Rangeland

1987 ◽  
Vol 19 (2) ◽  
pp. 53-60 ◽  
Author(s):  
L. Garoian ◽  
J. R. Conner ◽  
C. J. Scifres
Keyword(s):  
Stochastic Programming ◽  
Programming Model ◽  
Economic Feasibility ◽  
Range Management ◽  
Management Problem ◽  
Treatment Sequence ◽  
Net Returns ◽  
Discrete Stochastic Programming ◽  
Stochastic Programming Model

AbstractMacartney rose is a range management problem on 500,000 acres of rangeland in Texas. Roller chopping followed by burning is an effective method of improving infested rangeland. However, uncertainty associated with implementing effective burns adversely affects economic feasibility of the treatment sequence. Discrete stochastic programming is used to determine optimal burning schedules under uncertainty. Optimal schedules and expected net returns vary with changes in the probability of a successful burn.

Optimization model for integrated municipal solid waste management in Mumbai, India

2007 ◽  
Vol 12 (1) ◽  
pp. 105-121 ◽  
Author(s):  
SARIKA RATHI
Keyword(s):  
Linear Programming ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Community Participation ◽  
Solid Waste Management ◽  
Programming Model ◽  
Municipal Solid Waste Management ◽  
Environmental Costs ◽  
Msw Management

Mumbai, the largest metropolitan city in India, generated 6,256 tons of waste per day in 2001. It is the responsibility of the Municipal Corporation of Greater Mumbai (MCGM) to provide Municipal Solid Waste (MSW) management services; however, the MCGM is not able to handle the increasing quantity of waste. As a result, waste litters all over the place giving rise to health and environmental problems. Hence, there is a need to involve private sector and community participation in waste management. In this paper, a linear programming model is developed to integrate different options and stakeholders involved in MSW management in Mumbai. Various economic and environmental costs associated with MSW management are taken into consideration while developing the model.

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