Abstract
As the government of India has recently put a lot of focus on its new policy, i.e., “Make in India,” the Indian manufacturing sector has been looking forward to be on the cusps of being the manufacturing hub on the globe. And hence, a large number of manufacturing organizations are looking forward to implementing lean philosophy in their units in order to cut down the various wastes and gain sustainable advantages over the competitors in the global market. The problem arises when the tools which are to be implemented are vast in number and the need to select the tools when lean philosophy implementation arises. The lean tools need to be ranked as per their efficiency based on a number of criteria and then implemented in the manufacturing organizations. The current research work deals with the selection of lean tool for a die casting industry using Fuzzy AHP. FAHP makes use of a triplet of triangular fuzzy numbers (TFN) to include the ambiguity in the priorities during pairwise comparisons. The lean tools under consideration are Poka Yoke, value stream mapping (VSM), Heijunka (Level Scheduling), SMED (Single minute exchange of dies), and Kaizen. These lean tools are to be evaluated on the basis of three criteria, i.e., material, time, and energy. The tools are evaluated using Fuzzy AHP and ranked accordingly. The lean tool with the best rank is chosen for implementation in the die casting industry.
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Ratna, S., Kumar, B. (2021). Lean Tool Selection in a Die Casting Industry: A Fuzzy AHP-Based Decision Support Heuristic. In: Phanden, R.K., Mathiyazhagan, K., Kumar, R., Paulo Davim, J. (eds) Advances in Industrial and Production Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-4320-7_15
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DOI: https://doi.org/10.1007/978-981-33-4320-7_15
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