scholarly journals SUITABILITY INDEX FOR COLLECTION BIN ALLOCATION USING ANALYTICAL HIERARCHY PROCESS (AHP) CASCADED TO ARTIFICIAL NEURAL NETWORK (ANN)

Detritus ◽  
2019 ◽  
pp. 38-49
Author(s):  
Debasree Purkayastha ◽  
Mrinmoy Majumder ◽  
Sumanta Chakrabarti
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Waste Management ◽  
Solid Waste ◽  
Analytical Hierarchy Process ◽  
Solid Waste Management ◽  
Collection Efficiency ◽  
Suitability Index ◽  
Artificial Neural ◽  
Hierarchy Process

Municipal solid waste is an inevitable outcome of anthropogenic activities. Proper sustainable solid waste management is the need of the hour. In this study, a Suitability Index (S.I) has been determined which can measure the relative importance of a district with regard to its necessity or requirement of collection bins in comparison to other districts in a municipality. The S.I was computed using Analytical Hierarchy Process cascaded to Artificial Neural Network. Four criteria viz. Demographic, Social, Economic and Technical considerations and seven factors viz. Population Density (P.D), Street Width (S.W), Waste Generation Rate (W.G.R), Income Group Distribution (I.G.D), Average Minimum Distance between the bins (MIN.D), Available Number of Bins (A.N.B) and Cost of Waste Bins (C.W.B) were considered for developing the model. Available Number of Bins was found to have the highest impact on the model followed by C.W.B, W.G.R, MIN D., I.G.D, P.D, and S.W. This index will particularly help developing countries with resource constraint and unskilled labor force in Solid Waste Management. It will help such countries to easily locate districts in urgent need of collection bins with an easily available set of data and will help in increasing collection efficiency.

scholarly journals Artificial Neural Network and Analytical Hierarchy Process Integration: A Tool to Estimate Business Strategy of Bank

2020 ◽  
Vol 11 (1) ◽  
pp. 66-66
Author(s):  
Mochammad Ridwan Ristyawan
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Artificial Neural Network ◽  
Analytical Hierarchy Process ◽  
Business Strategy ◽  
Business Environment ◽  
Strategic Resources ◽  
Inductive Algorithm ◽  
Artificial Neural ◽  
Hierarchy Process

The disruption has been occurring in financial services. Rethinking new strategy of banking is needed to make a sustainable competitive advantage innovation in organizations. The four types of business strategy for banks are prospector, analyzer, defender, and reactor. Studies mentioned that formulating strategy is very costly, time consuming, and comprehensive analysis. The banks have to get rid of execution time inefficiency, lack of flexibility, and lack of ability to present several scenarios in the dynamic business environment. The purpose of this study is to present an integrated intelligence algorithm for estimating strategic resources of the bank strategy in Indonesia. The algorithm has two basic modules which are artificial neural network (ANN) and analytical hierarchy process (AHP). ANN is utilized as an inductive algorithm in discovering predictive strategy of the bank and used to explain the strategic resources which improved in forward. AHP has the capability to handle multi-level decision-making structure with use of expert judgments in pairwise comparison process. AHP is used to measure the weight of the resources and the score is used to determine the strategy. The empirical results indicate that ANN and AHP integration is proved to predict the business strategy of the bank. The strategy choice appropriate with the condition of bank's resources. This framework can be implemented to help banker for the decision making in bank operation. Keywords: business strategy, ANN, AHP, resources

Assessing Sustainable Municipal Solid Waste Management Factors for Johor-Bahru by Analytical Hierarchy Process

2013 ◽  
Vol 689 ◽  
pp. 540-545 ◽  
Author(s):  
Ahmad H. Abba ◽  
Zainura Z. Noor ◽  
Aminu Aliyu ◽  
Nasiru I. Medugu
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Analytical Hierarchy Process ◽  
Solid Waste Management ◽  
Public Awareness ◽  
Maintenance Cost ◽  
Analysis Tool ◽  
Municipal Solid Waste Management ◽  
The Public ◽  
Hierarchy Process

: Management of solid waste involves collection, transportation, treatment and safe disposal to landfills. These activities create a lot of impacts to the environment and most of the time impose social and financial burden on authorities handling solid waste management as well as the community. Local authorities managing waste are confronted with problems, protests and resistance from the public because of difference of views and perceptions on impacts created by waste management plans. This paper assesses some environmental, social and economical impacts viewed by stakeholders in the city of Johor Bahru Malaysia. Analytical hierarchy process (AHP), a multi-criteria decision making analysis tool is used to evaluate the views of the stakeholders with the aid of super decision software. Stream ecology, flora and fauna, habitat depletion, land use and air quality are ranked higher for environmental factors/impacts. Public awareness health and safety, population size and cooperation from the public dominate the social factors. Regulation, landfill capacity, operation and maintenance cost and capital cost dominate economic factors/impacts. Four alternative disposal plans (landfilling, recycling, incineration, composting) were proposed and ranked according to the priorities of the stakeholders. Incineration and recycling were preferred to landfilling and composting disposal options.

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