Optimal waste load allocation using graph model for conflict resolution

2017 ◽  
Vol 75 (6) ◽  
pp. 1512-1522 ◽  
Author(s):  
Leila Saberi ◽  
Mohammad Hossein Niksokhan
Keyword(s):  
Conflict Resolution ◽  
Oxygen Demand ◽  
Graph Model ◽  
Waste Load Allocation ◽  
Swarm Optimization ◽  
Penalty Costs ◽  
Waste Load ◽  
Total Treatment ◽  
Stability Definitions

In this paper, a new methodology is proposed for waste load allocation in river systems using the decision support system (DSS) for the graph model for conflict resolution II (GMCRII), multi-criteria decision making (MCDM) analysis and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Minimization of total treatment and penalty costs and minimization of biological oxygen demand violation of standards at the check point are considered as the main objectives of this study. At first, the water quality along the river was simulated using the Streeter-Phelps (S-P) equation coupled with the MOPSO model. Thereby a trade-off curve between the objectives is obtained and a set of non-dominated solutions is selected. In the next step, the best alternative is chosen using MCDM techniques and the GMCRII DSS package and non-cooperative stability definitions. The applicability and efficiency of the methodology are examined in a real-world case study of the Sefidrud River in the northern part of Iran.

scholarly journals Waste load allocation under uncertainty using game theory approach and simulation-optimization process

2020 ◽  
Vol 22 (4) ◽  
pp. 815-841 ◽  
Author(s):  
Behnam Andik ◽  
Mohammad Hossein Niksokhan
Keyword(s):  
Game Theory ◽  
Sensitivity Analysis ◽  
Simulation Optimization ◽  
Graph Model ◽  
Decision Makers ◽  
Optimization Process ◽  
Theory Approach ◽  
Waste Load Allocation ◽  
Waste Load ◽  
The Status

Abstract This article aims to present a new methodology for waste load allocation (WLA) in a riverine system considering the uncertainty and achieve the lowest amount of inequity index, cost, and fuzzy risk of standard violation. To find a surface of undominated solutions, a new modified PAWN method, initially designed for sensitivity analysis, was developed and coupled with a simulation-optimization process using multi-objective particle swarm optimization (MOPSO) algorithm, to consider the uncertainty of all affecting variables and parameters by using their probability distribution. The proposed methodology applied to Sefidrood River in the northern part of Iran. Graph model for conflict resolution (GMCR) as a subset of game theory was implemented to attain a compromise on WLA among the stakeholders of a river system's quality in Iran: Department of Environment, Municipal Waste Water, and Private Sector. Some undominated solutions were used in GMCR model and modeling the conflict among decision makers reveals that their preferences and the status quo do not lead to a solely stable equilibrium; thus the intervention of a ruler as arbitrator leads them to reach a compromise on a scenario that has a median FRVS and cost. Sensitivity analysis was done using the PAWN method to assess the sensitivity of three intended objectives to all variables and parameters.

Optimal water and waste load allocation in reservoir–river systems: a case study

2013 ◽  
Vol 71 (9) ◽  
pp. 4127-4142 ◽  
Author(s):  
Mohammad Reza Nikoo ◽  
Reza Kerachian ◽  
Akbar Karimi ◽  
Ali Asghar Azadnia ◽  
Keighobad Jafarzadegan
Keyword(s):  
Waste Load Allocation ◽  
River Systems ◽  
Waste Load

scholarly journals Development of a dynamics-based model for analyzing strategic water–environmental conflicts: systems thinking instead of linear thinking

Water Policy ◽  
2021 ◽  
Author(s):  
Mohsen Shahbaznezhadfard ◽  
Saied Yousefi
Keyword(s):  
Conflict Resolution ◽  
Systems Thinking ◽  
Research Effort ◽  
Real Life ◽  
Graph Model ◽  
Dynamic Nature ◽  
Environmental Conflicts ◽  
The Past ◽  
Conventional Paradigm

Abstract A new evolvement in graph model for conflict resolution (GMCR), a robust methodology for conflict resolution, is presented in this research effort to incorporate the systems thinking concept into the conventional paradigm of GMCR so that the dynamic nature of water–environmental conflicts can be modeled, and better outcomes obtained. To achieve this objective, a methodology is developed in three phases: static, dynamic, and outcome-based analyses. To develop the methodology, the Tigris–Euphrates basin conflict in the Middle East over the past 30 years, as a real-life case study, is used to show the robustness and capabilities of the proposed approach. Finally, a sustainable resolution to the current conflict is proposed, and the results are discussed. The proposed methodology benefits from improving the existing and often static-based conflict resolution developments by considering the dynamic nature so that the true root causes of complex conflicts are addressed, better strategic insights achieved, and comprehensive resolution provided.

A strategic conflict analysis in IT outsourcing using the graph model for conflict resolution

2020 ◽  
Vol 33 (6) ◽  
pp. 1581-1598
Author(s):  
Maisa Mendonça Silva ◽  
Thiago Poleto ◽  
Ana Paula Henriques de Gusmão ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Critical Issue ◽  
Conflict Analysis ◽  
Relational Governance ◽  
Holistic View ◽  
Case Study Methodology ◽  
Content Type ◽  
Strategic Conflict

PurposeThe purpose of this paper is to propose a strategic conflict analysis, based on the graph model for conflict resolution (GMCR), that is applied to information technology outsourcing (ITO) in a real-world software development and implementation process in Brazil.Design/methodology/approachBecause the idea of this study is to answer “why” the ITO conflicts occur and “how” they can be avoided, the case study methodology was adopted. The software GMCR II was used to analyze the interactions between an IT vendor and an IT client.FindingsThe results suggest that a lack of relational governance is a critical issue that could be handled to improve the interaction between those involved.Research limitations/implicationsThe main results are restricted to the case study and cannot be generalized. Moreover, a specific limitation of this paper pertains to the use of the GMCR and the consequent difficulty for IT vendors and IT clients to work with a large number of actions and to set preferences for several states of conflict.Practical implicationsThe strategic analysis of outsourcing conflicts provides a holistic view of the current situation that may assist the client and vendor in future decisions and identify guidelines to ensure successful ITO. Therefore, this paper provides an effective guide for clients and vendors to better manage conflicts and establish a contingency vision to avoid such disputes.Originality/valueThe ITO conflict is analyzed using the GMCR, considering both perspectives of the outsourcing process (vendors and clients).

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