Human capital in urban management
K. Fahimi; M. Amirabadi
Abstract
BACKGROUND AND OBJECTIVES: The six sigma is a common methodology that has applied successfully in many organizations leading to sustainable performance improvements in products and services. However, the applied methodologies have not pay attention to Multi Criteria Decision Making models, clustering ...
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BACKGROUND AND OBJECTIVES: The six sigma is a common methodology that has applied successfully in many organizations leading to sustainable performance improvements in products and services. However, the applied methodologies have not pay attention to Multi Criteria Decision Making models, clustering algorithm and Balance scorecard model. The purpose of this model is to apply the six-sigma methodology in Tehran Municipality and show how the Balance scorecard model, clustering algorithm, Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution can be applied in the methodology.METHODS: Define, Measure, Analysis, Improvement and Control as a common methodology of six sigma is applied in Tehran Municipality. Several unique elements that are exist in Tehran Municipality are identified and categorized based on the Balance scorecard model into indexes, goals and perspectives. Also, Analytic Hierarchy Process for weight extraction and Technique for Order of Preference by Similarity to Ideal Solution for ranking are applied. The improvement strategies are created based on the six sigma tolerances.FINDINGS: The findings show that the methodology can be elevated by Balance scorecard, Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution. This formulation is done and applied in Tehran Municipality and can be used in other organizations for conducting improvement strategies. Based on the arbitrary data, the best district of Tehran city is district 9 by 89.75% and the worst is district 18 by 10.12% score. Also, Wards and K-mean clustering algorithms and six sigma control limits are used to cluster the districts into superior, somehow superior, moderate, somehow inferior and inferior clusters based on their performance. CONCLUSION: This manuscript helps to understand the way of integration the methodology, Balance scorecard, Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution and six sigma tolerances for sustainable improvement of Tehran Municipality. The proposed formulation can be used in any organization to reach to sustainable improvement.
Human capital in urban management
K. Fahimi; M. Amirabadi
Abstract
BACKGROUND AND OBJECTIVES: Excellence models are essential for organizations to improve performance. Deming Prize, Canada Awards for Excellence, Malcolm Baldrige National Quality Award, and European Quality Award are the most well-known excellence models worldwide. These models do not present any mathematical ...
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BACKGROUND AND OBJECTIVES: Excellence models are essential for organizations to improve performance. Deming Prize, Canada Awards for Excellence, Malcolm Baldrige National Quality Award, and European Quality Award are the most well-known excellence models worldwide. These models do not present any mathematical model in accordance with a comprehensive step-by-step roadmap for implementation. Moreover, they are general models and have not been customized for a specific organization. So, this article presents a comprehensive, graphical, step-by-step roadmap to implement an excellent model for Tehran Municipality that is elevated by Technique for order of preference by similarity to ideal solution and analytical hierarchical process to make decisions by mathematical analysis.METHODS: Different excellence and performance models have been studied, and then an excellence model for deputies of Tehran Municipality is designed. Also, an Analytical hierarchical process for weight extraction and a Technique for order of preference by similarity to an ideal solution for ranking is applied.FINDINGS: A novel excellence model for deputies of Tehran Municipality has been developed. Strategies, goals, objectives, targets, critical success factors, and general, proprietary, and transaction indexes are defined. Analytic hierarchy process calculates weights of indexes based on arbitrary data, and results are presented in 11 Tables. The most important index was the proprietary index, with a weight of 70% for the deputy of technical and construction. The less important index was the general index for the deputy of planning, human capital development, and council affairs, weighing 8%. Moreover, deputies of Tehran Municipality have been ranked by TOPSIS. The best deputy got 71%, and the worse got 7% scores.CONCLUSION: This study constructed a customized five-step excellence model for Tehran Municipality to reach excellence. The model can help Tehran Municipality for better urban planning. Step one constructs the performance assessment team. Step two extracts indexes by brainstorming method with the help of the European foundation for quality management model. Step three collects, cleans and loads the data in the data warehouse. In step four, weights of the indexes and facets are calculated based on AHP, and then facets, indexes, and goals are ranked by technique for order of preference by similarity to ideal solution as an effective multi-criteria decision making tool. Finally, the model has been implemented at offices of plan monitoring, project control, and performance evaluation in planning, human capital development, and council affairs department at Tehran Municipality.
