scholarly journals Network Design for Municipal Solid Waste Collection: A Case Study of the Nanjing Jiangbei New Area

2018 ◽  
Vol 15 (12) ◽  
pp. 2812 ◽  
Author(s):  
Jing Liang ◽  
Ming Liu
Keyword(s):  
Municipal Solid Waste ◽  
Network Design ◽  
Solid Waste ◽  
Relative Size ◽  
Service Level ◽  
Optimal Number ◽  
Mixed Integer ◽  
Proposed Model ◽  
The Impact ◽  
Operation Cost

Garbage collection is an important part of municipal engineering. An effective service network design can help to reduce the municipal operation cost and improve its service level. In this paper, we propose an optimization model for the network design of municipal solid waste (MSW) collection in the Nanjing Jiangbei new area. The problem was formulated as a mixed integer nonlinear programming (MINLP) model with an emphasis on minimizing the annual operation cost. The model simultaneously decides on the optimal number of refuse transfer stations (RTSs), determines the relative size and location for each RTS, allocates each community to a specific RTS, and finally identifies the annual operation cost and service level for the optimal scenario as well as other scenarios. A custom solution procedure which hybrids an enumeration rule and a genetic algorithm was designed to solve the proposed model. A sensitivity analysis was also conducted to illustrate the impact of changes in parameters on the optimality of the proposed model. Test results revealed that our model could provide tangible policy recommendations for managing the MSW collection.

scholarly journals A Reliability-Based Network Reconfiguration Model in Distribution System with DGs and ESSs Using Mixed-Integer Programming

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1219
Author(s):  
Shanghua Guo ◽  
Jian Lin ◽  
Yuming Zhao ◽  
Longjun Wang ◽  
Gang Wang ◽  
...  
Keyword(s):  
Distribution System ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Network Reconfiguration ◽  
Service Reliability ◽  
System Reconfiguration ◽  
Proposed Model ◽  
Distribution System Reconfiguration ◽  
The Impact ◽  
Operation Cost

Widely used distribution generations (DGs) and energy storage systems (ESSs) enable a distribution system to have a more flexible fault reconfiguration capability. In order to enhance the service reliability and the benefit of distribution networks with DGs and ESSs, this paper proposes a novel distribution system reconfiguration (DSR) model including DGs and ESSs. Meanwhile, the impact of sectionalizing switches and tie switches on reliability is considered. The concept of “boundary switch” is introduced for quantifying the customer interruption duration. The DSR model is presented to minimize the sum of the customer interruption cost, the operation cost of switches, and the depreciation cost of DGs and ESSs. Furthermore, the proposed model is converted into a mixed-integer linear programming, which can be efficiently solved by commercial solvers. Finally, the validity and efficiency of the proposed DSR model are verified by a modified IEEE 33-bus system and a modified PG&E69-bus network. The obtained results indicate the advantages of DGs and ESSs in reducing outage time, and suggest that the types and locations of SSs have great effects on the resulting benefit of DGs and ESSs.

Reliable optimization of corridor capacity for China high speed railway by considering passenger service

2017 ◽  
Vol 08 (04) ◽  
pp. 1750043
Author(s):  
Mo Gao ◽  
Leishan Zhou ◽  
Yongjun Chen
Keyword(s):  
High Speed ◽  
Optimal Solution ◽  
Service Level ◽  
Optimal Number ◽  
Mixed Integer ◽  
High Speed Rail ◽  
Optimal Capacity ◽  
Buffer Time ◽  
Proposed Model ◽  
Railway Capacity

Railway capacity has been extensively investigated for the purpose of utilizing rail infrastructure in a possible efficient strategy. Nevertheless, the estimation of high speed rail (HSR), which is different from common railways in many aspects, is still a challenge work needed to be solved. Consequently, this work focuses on the capacity estimation of HSR corridor. The objectives and constraints are developed for the HSR with the consideration of passenger service level and buffer time uncertainty, and a two-stage optimization model is proposed. The first stage determines the optimal number of trains in terms of the passenger origin–destination demand, and the second stage is a multi-objective mixed integer programming (MO-MIP) aiming to estimate the optimal capacity usage. The branch-and-bound algorithm is extended and applied to the proposed model, and a case study is performed to Beijing–Shanghai HSR line. The optimal solution is obtained, and the sensitivity of the two objectives is analyzed.

scholarly journals A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference

2021 ◽  
Vol 18 (9) ◽  
pp. 4760
Author(s):  
Peng Li ◽  
Di Wu
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Environmental Sustainability ◽  
Rapid Development ◽  
Consumer Preference ◽  
Service Level ◽  
Mixed Integer ◽  
Reverse Supply Chain ◽  
Related Factors ◽  
Dual Channel

The rapid development of e-commerce technologies has encouraged collection centers to adopt online recycling channels in addition to their existing traditional (offline) recycling channels, such the idea of coexisting traditional and online recycling channels evolved a new concept of a dual-channel reverse supply chain (DRSC). The adoption of DRSC will make the system lose stability and fall into the trap of complexity. Further the consumer-related factors, such as consumer preference, service level, have also severely affected the system efficiency of DRSC. Therefore, it is necessary to help DRSCs to design their networks for maintaining competitiveness and profitability. This paper focuses on the issues of quantitative modelling for the network design of a general multi-echelon, dual-objective DRSC system. By incorporating consumer preference for the online recycling channel into the system, we investigate a mixed integer linear programming (MILP) model to design the DRSC network with uncertainty and the model is solved using the ε-constraint method to derive optimal Pareto solutions. Numerical results show that there exist positive correlations between consumer preference and total collective quantity, online recycling price and the system profits. The proposed model and solution method could assist recyclers in pricing and service decisions to achieve a balance solution for economic and environmental sustainability.

A Least Cost Transmission Planning Model Considering Operation Cost

2014 ◽  
Vol 15 (2) ◽  
pp. 121-128
Author(s):  
Jorge Hans Alayo
Keyword(s):  
Test System ◽  
Mixed Integer ◽  
Transmission Planning ◽  
Integer Linear Programming Problem ◽  
Transmission Expansion ◽  
Planning Models ◽  
Proposed Model ◽  
Expansion Model ◽  
Operation Cost ◽  
Linearization Techniques

Abstract Existing transmission planning models consider basic aspects of the problem. In practice, a transmission utility needs to model other important details such as operation cost of the power system. In this article, a least cost transmission expansion model is proposed considering the operation cost in order to model the trade-off between building new transmission capacity and increasing the power system’s operation cost. The proposed model is transformed into a mixed integer linear programming problem using linearization techniques and solved with CPLEX. Finally, results of the model for the Garver test system and IEEE 24-bus test system are shown.

The Design of Mechanical Grates Experimental Device of Municipal Solid Waste

2012 ◽  
Vol 233 ◽  
pp. 311-315
Author(s):  
Xin Cai Zhu ◽  
Peng Li ◽  
Lei Guo ◽  
You Qing Ding ◽  
Shun Hong Lin
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Experimental Device ◽  
Structure Parameters ◽  
Strong Basis ◽  
Stop Time ◽  
Movement Characteristics ◽  
Push Forward ◽  
Move Distance ◽  
The Impact

In order to research the impact of the structure parameters of mechanical grate on MSW(Municipal Solid Waste) movement characteristics such as transportation speed, average stop time and mixed rate of waste, a kind of mechanical grate cold experimental device has been designed. This device can realize the switch between push forward and backward. Many structure parameters can be adjusted such as the height of grate, move distance of grate, bed angle, and move speed of the grate. Based on Mechanical grate cold experimental device, to study the impact of the mechanical grate structure parameters on the characteristics of waste movement is conducive to applying the results of test to the actual MSW grate incinerator. It provides a strong basis for the improvement and optimization of the mechanical grate furnace in terms of characteristics of Chinese MSW.

Municipal solid waste management considering NGO’s role in consumer environmental awareness and government regulations for air pollution

2020 ◽  
Vol 15 (3) ◽  
pp. 783-807
Author(s):  
Masoud Rabbani ◽  
Parisa Hashemi ◽  
Pegah Bineshpour ◽  
Hamed Farrokhi-Asl
Keyword(s):  
Air Pollution ◽  
Sensitivity Analysis ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Awareness ◽  
Mixed Integer ◽  
Good Effect ◽  
Municipal Solid Waste Management ◽  
Content Type

Purpose The purpose of this study is twofold: first, to examine the role of non-governmental organizations (NGOs) in increasing customer environmental awareness (CEA) to decrease the municipal solid waste (MSW), and secondly, to examine the effect of government policies in the amount of air pollution caused by transfer stations (TSs). Design/methodology/approach This study proposes a mixed-integer nonlinear programming model. For solving this multi-objective problem, the authors use epsilon constraint method, which presented eight Pareto solutions. For selecting the best solution, the analytic hierarchy process approach is used. The presented model is applied on a real case study, and the results are discussed and sensitivity analysis is implemented on the parameters of the concern. Findings This study confirms the assumption that by allocating budget to NGOs for increasing CEA, the produced waste will be decreased. Research limitations/implications In the present study, the authors only investigate air pollution caused by TS. Future studies can investigate other types of pollution. Furthermore, uncertainty in the amount of produced waste can be variable making the problem closer to the real environment. In this case, robust optimization may have better results. Practical implications Based on the results of sensitivity analysis, some implications obtain that can highlight by managers in the decision-making process. The operational costs of TS have a critical aspect in founding TS, so using new technology and high-tech machines for operational processes of TSs, can result in decreasing the running cost of TSs. Also, the determination of TS capacity is a remarkable issue in optimization, which should be paid special attention to this for the design of TSs in the planning phase of the system. Moreover, collaborating with NGOs has a good effect on increasing CEA that results in a decrease of MSW. Originality/value The role of NGOs and government simultaneity has been considered in a green supply chain. Moreover, the authors considered TS between source and disposal that reduce the time of transferring waste. Therefore, this study can be beneficial for the MSW management system, which faces the problems in the lack of capacity and transportation problems and environmental issues by proposing solutions in three studies including economic, environmental and social aspects.

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