An Optimal Model for Maximizing Return on Investment of Ecological Restoration

2014 ◽  
Vol 889-890 ◽  
pp. 1630-1633
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu
Keyword(s):  
Linear Programming ◽  
Decision Support ◽  
Ecological Restoration ◽  
Support System ◽  
Ecosystem Service ◽  
Return On Investment ◽  
Optimal Investment ◽  
Optimal Model ◽  
Mud Flat ◽  
Restoration Cost

We develop a model to investigate the use of linear programming to maximize return on investment of ecological restoration of coastal mud flat, in particular maximizing ecosystem service values, minimizing ecological restoration cost by optimizing development and ecological restoration of coastal mud flat. We show that such an optimal model was constructed to represent all ecosystem and ecological restoration services and given the return on optimal investment of ecological restoration for the coastal mud flat in Dafeng City, Jiangsu Province, China. Finally, the return on investment of ecological restoration, up to 256.4% in 1997, exhibits that there is a possibility of obtaining a decision support system from the optimal model and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by the return on investment of ecological restoration in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.

A Method for Computing Return on Investment of Ecological Restoration of Coastal Mud Flat

2014 ◽  
Vol 522-524 ◽  
pp. 709-712
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu
Keyword(s):  
Linear Programming ◽  
Decision Support ◽  
Ecological Restoration ◽  
Support System ◽  
Return On Investment ◽  
Programming Model ◽  
Optimal Investment ◽  
Linear Programming Model ◽  
Mud Flat ◽  
Restoration Cost

The aim of this study was to investigate the use of condition linear programming model to optimize development and ecological restoration of coastal mud flat, in particular maximizing ecosystem service values, minimizing ecological restoration cost and computing return on investment of ecological restoration of coastal mud flat. Such a linear programming model for Dafeng City, Jiangsu Province, China was constructed to represent all ecosystem and ecological restoration services and given the return on optimal investment of ecological restoration for the coastal mud flat. This indicates that there is a possibility of obtaining a decision support system from the linear programming model and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by the return on investment of ecological restoration in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.

Optimal Ecological Restoration of Degraded Wetland Ecosystem by Using Satellite Sensors

2014 ◽  
Vol 511-512 ◽  
pp. 138-141
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu
Keyword(s):  
Linear Programming ◽  
Ecological Restoration ◽  
Ecosystem Service ◽  
Return On Investment ◽  
Wetland Ecosystem ◽  
Ground Investigation ◽  
Optimal Programming ◽  
Satellite Sensors ◽  
Planning Experts ◽  
Restoration Cost

Ecological restoration of degraded wetland ecosystem can be achieved by planning experts according to ground investigation, but with low efficiencies. We report that satellite sensors, maximizing ecosystem service values and minimizing ecological restoration cost improve ecological restoration efficiency. In particular, multi-objective linear programming (MOLIP), an optimal programming, improves ecological restoration efficiency by more than 250% in the return on investment of ecological restoration, using TM satellite as area sensors. MOLIP also enables efficient introduction of ecological restoration management without introduction of planning experts and ground investigation.

A Decision Support Model for Ecological Restoration of Coastal Mud Flat

2014 ◽  
Vol 513-517 ◽  
pp. 2979-2982
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu
Keyword(s):  
Linear Programming ◽  
Decision Support ◽  
Ecological Restoration ◽  
Programming Models ◽  
Decision Support Model ◽  
Mud Flat ◽  
Optimal Protection ◽  
Areas Of Protection ◽  
Restoration Cost ◽  
Support Model

The aim of this study was to investigate the use of two linear programming models to optimize protection, development, and ecological restoration of coastal mud flat, in particular maximizing ecosystem service values and minimizing ecological restoration cost. Such two linear programming models for Dafeng City, Jiangsu Province, China were constructed to represent all ecosystem and ecological restoration services in a decision support model and given the optimal protection, development, and ecological restoration decision for the coastal mud flat. This indicates that there is a possibility of obtaining a decision support system from the linear programming models and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by selecting areas of protection and development in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.

scholarly journals A Decision Support System for Sustainable Forest Management and Ecosystem Service Provisioning at the Enterprise Scale

2020 ◽  
Vol 3 (1) ◽  
pp. 83
Author(s):  
Timothy Thrippleton ◽  
Clemens Blattert ◽  
Reinhard Mey ◽  
Jürgen Zell ◽  
Esther Thürig ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Ecosystem Service ◽  
Sustainable Forest Management ◽  
Management Strategies ◽  
Future Climate Change ◽  
Service Provisioning

Forest management is becoming increasingly complex due to increasing demands in ecosystem service provisioning and future climate change impacts. For a sustainable forest management, scientifically well-founded decision support is therefore urgently required. Within the project SessFor, a decision support system for strategic planning at the forest enterprise level is being developed, based on the climate sensitive forest model SwissStandSim and initialized from forest inventory data. The system is currently applied to the forest enterprise Wagenrain (440 ha), located in the Swiss Plateau region. Indicators for biodiversity and ecosystem service provisioning (timber production, recreation value and carbon sequestration) are calculated for different management strategies and evaluated using a multi-criteria decision analysis. Preliminary results demonstrate the suitability of the system to evaluate ecosystem service provisioning under different management strategies and to identify the best management strategy, based on criteria defined by the forest manager. Furthermore, results show how the system can be used to assess developments for time-scales of 50–100 years under different climate change scenarios. In the ongoing project, the system will be applied to other case study regions, including mountain forests, which are of key importance in Switzerland and other alpine areas.

scholarly journals Integrated optimization and simulation models for short-term open-pit mine planning

2020 ◽  
Vol 120 (11) ◽  
Author(s):  
V.F. Navarro Torres ◽  
G.R. Mateus ◽  
A.G. Martins ◽  
W. Carneiro ◽  
L.S. Chaves
Keyword(s):  
Linear Programming ◽  
Decision Support ◽  
Discrete Event Simulation ◽  
Support System ◽  
Discrete Event ◽  
Mine Planning ◽  
Integrated Models ◽  
Short Term ◽  
Mining Operations ◽  
Event Simulation

SYNOPSIS Operational mine planning is a fundamental activity in mine operations and should take into account various characteristics of the material, the available mining faces, the requirements of discharge points, and production hiatuses due to reduced equipment operational efficiency, in order to efficiently allocate shovels and trucks and deliver the required tonnage and quality to the proper destinations. This paper presents an approach for optimizing short-term day-to-day mining operations using simulation. A mathematical model based on integer linear programming is developed. The solution is obtained through two different software packages using discrete event simulation (Arena) and a mathematical optimization model (Lingo). The two integrated models search an efficient solution to optimize a set of criteria by applying goal programming to hierarchically optimize five objective functions in a logical priority order under the operator's standpoint and by simulating mining operations and unproductive events to evaluate how closely the optimized results are actually achieved. The integrated models are applied to a real large-scale iron ore mine in southeastern Brazil. A decision support system (DSS) prototype that meets the production requirements is also applied. The results show that an increase in the available loading equipment will not result necessarily in increased production, as expected. The models show satisfactory results and applicability to real and complex mining situations, and the formulation allows for easy adaptation to other mine situations. Keywords: discrete event simulation, optimization, decision support system, mine planning, linear programming.

A Novel Web-Based Decision Support System for Aggregate Production Planning Problem

2021 ◽  
pp. 135-153
Author(s):  
Halit Alper Tayali
Keyword(s):  
Linear Programming ◽  
Decision Support ◽  
Decision Support System ◽  
Production Planning ◽  
Support System ◽  
Planning Problem ◽  
Planning Model ◽  
Aggregate Production Planning ◽  
Aggregate Production ◽  
Production Planning Problem

The aggregate production planning model aims to match the supply with demand while minimizing the manufacturing or production activity costs. There are many methods in the mathematical programming theory to solve the aggregate production planning problem. This chapter develops a novel decision support system for the aggregate production planning model using the linear programming approach. The aggregate production problem modeled by the linear programming has been coded in R computer programming language, and a novel web application has been developed using Shiny to serve the needs of the production managers. The novel application is adjustable for any production setting and planning horizon for firms in global transitioning.

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