Open AccessEvaluation of Manufacturing Process Performance by CONWIP Hybridization of Pull Controlled Production Systems
Author(s) -
O. Srikanth,
A. V. Sita Rama Raju,
B.V. Murty
Publication year - 2018
Publication title -
matec web of conferences
Language(s) - English
Resource type - Journals
eISSN - 2274-7214
pISSN - 2261-236X
DOI - 10.1051/matecconf/201714405006
Subject(s) - kanban , synchronization (alternating current) , computer science , control (management) , control system , process (computing) , production line , production (economics) , industrial engineering , manufacturing engineering , reliability engineering , engineering , computer network , economics , macroeconomics , mechanical engineering , channel (broadcasting) , artificial intelligence , electrical engineering , operating system
The main objective of this paper is pioneering an innovative tactic for the synchronization of multi-stage, multi-line, production system. This tactic is mainly depends on the optimization policy, by means of distinct event simulation process for modeling, analysis and distinction of the execution of two alternatives of Kanban control mechanism namely SEKCS (Simultaneous Extended Kanban Control System) and IEKCS (Independent Extended Kanban Control System). At this juncture the authors putting forward the two variants of Extended Kanban control system with the hybridization of CONWIP control policy to incite HSEKCS (Hybrid Simultaneous Extended Kanban Control System) and HIEKCS (Hybrid Independent Extended Kanban Control System) to make use of pooled benefits of a representative production situation in addition to improve the outcome. Therefore in this study the comparison in between different systems of proposed HEKCS specifically are HSEKCS and HIEKCS compared with the Extended Kanban Control Systems variants SEKCS and IEKCS. Simulation studies were conducted for all the five control policies considered and modeled on a multi-line, multi-stage assembly production control system. The relative performance parameters like Throughput or Production rate, Average Waiting Time and Average Work-in-Process, were assessed by means of exponentially varying demands