Generation of a Decision Support System to Enhance the Efficiency of Lean Manufacturing

摘要

Lean manufacturing (LM) is an established process that employs an array of instruments to eradicate waste. A varietyof methods have been applied (some more successfully than others) to enhance the effectiveness of this process. Thisstudy delves into the introduction of the Intelligent Lean Tools Simulation (iLeTS) to overcome the deficiencies in theLM process and reduce the failure ratio. Fabricated with the use of modelling software, the performance of iLeTS wasenhanced by way of an amalgamation involving the visual basic application (VBA) and the multi agent system(MAS). This merging served to enhance the user friendliness of iLeTS, which in turn reduced the required period ofusage. Face validity and a usability study were harnessed to evaluate the performance of iLeTS. While face validitywas used to authenticate the multi-agent system flow in iLeTS; the usability study was engaged to determine the proficiency of iLeTS when it comes to managing a number of arbitrarily occurring incidents. Subsequent to a thoroughexamination of a wide range of simulation results (deriving from authentic data), we arrived at the conclusion that (a)the iLeTS is suitable for the automation of the manufacturing process, and (b) the iLeTS can be relied upon for making prompt and appropriate choices.