Search Results for ahp

Abstract

The research aims to reach the optimal management of water resources in the city of Baghdad by using the Analytic Hierachy Process - AHP, which is one of the effective methods of supporting the process of making multiple decisions. Baghdad faces many challenges related to the water sector, including a lack of water quantities available, water deterioration, institutional and administrative challenges. The research follows a comprehensive scientific methodology that begins to determine the problem, and set clear goals related to improving the effectiveness and efficiency of water management and ensuring its sustainability. Where an analytical model is built with the use of (AHP) analysis, which includes defining the main goal of (optimal water management), standards of evaluation (water pricing, awareness and aqueous education, systems and water standards, legislation and water laws, water losses), and possible alternatives (improving infrastructure Rationalizing water use). The data was collected through a questionnaire for the competent authorities and experts in the water sector exclusively. Through the AHP (AHP) application, both standards as well as alternatives and arrangement were analyzed based on the relative weights of each standard. The results show the possibility of using (AHP) to direct specialists and decision makers towards choosing sustainable and effective solutions to address water issues.

 And highlighting the results of the research was the possibility of access to the optimal water management in the city of Baghdad, by formulating a comprehensive water management approach by adopting a strategy to integrate school standards and alternatives, and set a maximum priority for the application of rationalization of water use as an implementable option and the first step to achieve a sustainable water resource, which supports Achieving efficiency of water resources optimall.

With the presence of practical recommendations that are applicable, most notably promoting the rationalization of water use through a comprehensive work for both water legislation and awareness of users of the importance of water, as well as the need for water pricing to estimate the value of water as an important resource. The research is expected to improve the management of water resources in Baghdad, and it can also constitute an applicable model in other cities facing similar challenges.   

Abstract

Sustainable supplier selection is an essential part of the decision-making process in sustainable supply chains. This choice is focusing on social, economic, and environmental criteria in evaluation of suppliers. Sustainable supplier selection approaches have used both qualitative and quantitative data. Therefore, it is meaningful to use scientific methods that treatment both quantitative and qualitative data, as well as multiple criteria. 

Analytical network process (ANP) is a one of the important multi-criteria decisions –making approaches.  Also, the ANP technique is a general form that allows possible independency among criteria factors. This paper aims to select the best suppliers using an (ANP) approach which helps decision-makers to reach the best strategy with correct decisions. Using ANP each criterion has its assign weight, which reflects its importance for the process of comparison between alternatives to suppliers. The presented approach consists of the three main steps:  the first step is to identify the criteria used in the comparison process between suppliers, the second step is to identify the decision matrix using AHP and the third step is to construct the super matrix and limiting super matrix and compare between the alternatives, and rank them from the best to the worst through using ANP. This work has used the data as in [30] which represents data for a company that has four suppliers and five criteria. The results show that the best supplier is supplier 2, which has weight equal to 39%. Also, our results are matching the AHP result that is presented in [30]. Moreover, this work can be extended for future work using fuzzy environment and real application such as Iraqi oil companies.