Analytic Hierarchy Process (Ahp) Model for Assessment of Lean and Green Manufacturing Practices: A Case of Konya

Abstract

In today’s highly competitive marketplace, continuous improvement efforts are one of the best strategy to improve products, services, or processes. To support continuous improvement, companies continually examine their processes to discover and eliminate problems. The impact of Lean and Green Manufacturing Practices (LGMP) that widely deemed as one of the most disseminated production systems have been showed by several authors. What are the emerging issues in research on lean and green manufacturing practices? What are the most preferred practices in lean and green logistics have on the environment? Realizing the importance of LGMP, primary goal of this study is to find out what are the success factors of LGMP as a change management discipline. In order to reach these efforts a decision making procedure is implemented in an empirical research. In this paper, a multi-criteria decision-making methodology (MCDM), Analytical Hierarchical Process (AHP), is applied in Turkish manufacturing sector to select and prioritize LGMP practices. According to literature review and experts opinion list of practices are obtained. Then, AHP questionnaires are sent to decision makers for obtaining the relative importance of related factors. AHP approach is employed to rank the eight practices based on opinions from the decision-makers. An actual case study where real data is utilized to select LGMP factors for a case company from automotive sector.