Title: Prioritisation of major industrial waste using analytical hierarchy process for micro small medium enterprises

Authors: Ram Babu Verma; Sanjay Kumar Jha

Addresses: Department of Production Engineering, BIT Mesra, 835215 Ranchi, India ' Department of Production Engineering, BIT Mesra, 835215 Ranchi, India

Abstract: The paper deals about the identification of process waste associated with the product manufacturing cycle. Each product has its own production cycle that includes a series of manufacturing operations, starts with the acceptance of the customer's order and ends with the delivery of the finished product. Owing to the fact, long-term use of machines and equipments causes wear and tear results process inconsistencies, errors and breakdowns. These anomalies produce waste in form of man, material, and machine. The manuscript explains about analytical hierarchy process (AHP) for waste identification and prioritisation. The major waste associated with the production process of micro small and medium enterprises (MSMEs) identified and ranked by using the AHP technique. All of these identified industrial waste categorised under lean seven waste, denoted by acronym 'TIMWOOD'. The waste weightage factor (score) calculated by using the AHP decision matrix revealed that waiting time is the most significant waste, contributed 33.2% of total waste. In order to reduce process waste, manufacturing process drastically changed in light of the waste analysis findings.

Keywords: lean waste; analytical hierarchy process; AHP; MSME; paired analysis; TIMWOOD.

DOI: 10.1504/IJEWM.2024.140973

International Journal of Environment and Waste Management, 2024 Vol.35 No.1, pp.69 - 97

Received: 15 Apr 2021
Accepted: 23 Apr 2022
Published online: 05 Sep 2024 *

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