Analytical Hierarchy Process (Ahp) In Manufacturing And Non-Manufacturing Industries: A Systematic Literature Review
Haryadi Sarjono, Oranis Seik, Juliasco Defan, Bachtiar H. Simamora
Abstract
Haryadi Sarjono, Oranis Seik, Juliasco Defan, Bachtiar H. Simamora
Abstract
Analytical Hierarchy Process (AHP) is commonly used by many decision-makers in many industry to solve particular problems. However, the effective implementation of AHP for decision making in industries still becomes a question. This research aims at developing a systematic literature review using the real cases implementing AHP, both in manufacturing and non-manufacturing industries, from 2000 to 2020. To obtain research results, we select seventy-eight cases and utilize AHP combined with other methods. The results of this study show that twenty-two scientific works of literature combine AHP with other methods. GIS method and Expert choice software are the most frequently implemented methods combined with AHP. The finding of this study is expected to be a reference and recommendation for researchers or practitioners in using AHP in various industries.
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Analytical Hierarchy Process (AHP) is commonly used by many decision-makers in many industry to solve particular problems. However, the effective implementation of AHP for decision making in industries still becomes a question. This research aims at developing a systematic literature review using the real cases implementing AHP, both in manufacturing and non-manufacturing industries, from 2000 to 2020. To obtain research results, we select seventy-eight cases and utilize AHP combined with other methods. The results of this study show that twenty-two scientific works of literature combine AHP with other methods. GIS method and Expert choice software are the most frequently implemented methods combined with AHP. The finding of this study is expected to be a reference and recommendation for researchers or practitioners in using AHP in various industries.
Key concepts: Analytic hierarchy process, Computer science, Process (computing), Hierarchy, Manufacturing, Systematic review, Software, Management science