Abstract
Unpredictability of performance under the influence of various uncertainties makes decision-making a complex task on the shop floor. A measure which can indicate the expected shop floor scenario over a projected timeline can be an effective hands-on tool for a shop floor decision maker. The current work proposes three measures, namely complexity, penalty, and desirability of a shop floor situation and aggregates them into a single unified index (UI). Given an indicative list of uncertainties and the prevailing shop floor situation, a periodic simulation approach is presented to observe the changes in the UI. The extent of change in the UI, both in terms of magnitude and direction, is used to identify those significant environmental variables which need intervention. Developing a proactive control measure from the perspective of a decision maker on the shop floor, demonstration of CRITIC (Criteria Importance through Intercriteria Correlation)-based automated decision-making mechanism in a manufacturing setup and a simulation approach to aid the decision-making process are the highlights of the current work. The results reported are with reference to a high-pressure die casting unit.
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