Open AccessComparing the Efficiency of Intelligent Hybrid Operator Assistance Software with Intuitive Set-up (OASIS) for Assembly Production Line
Author(s) -
I. Zunaidi,
Mike ONeill,
Vahid Hassani,
Hamid Mehrabi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/4/042106
Subject(s) - operator (biology) , order picking , process (computing) , computer science , assembly line , production line , set (abstract data type) , line (geometry) , software , production (economics) , productivity , real time computing , manufacturing engineering , simulation , engineering , mechanical engineering , operating system , biochemistry , chemistry , geometry , mathematics , macroeconomics , repressor , marketing , warehouse , transcription factor , economics , business , gene , programming language
Pick-To-Light Order Picking System is the operational process when an operator begins to pick the parts in a sequential manner by which the quantity of the parts is recorded. The design of an effective hybrid order picking process in an assembly line is assisted by an intelligent sensing system to improve pick efficiency, accuracy and increase productivity. This research compares between intelligent hybrid order picking versus order picking with pick confirmation system at parts assembly line. The results show that by our proposed system with the elimination of certain steps within the picking process, the better efficiency, accuracy, fewer miss-picks will occur in the system and the operator can perform more intelligently with required picking quantities. The development of this system can provide a low-cost solution with an intelligent order picking system for small and medium-sized enterprises (SMEs) and a fast-moving production assembly line in manufacturing.