Abstract
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.
Highlights
For the last few decades, global market configuration had altered largely due to hasty advancement of technology
Simulation studies were accomplished to evaluate the significance of EKCS, HEKCS and Constant Work-in-Process (CONWIP) in multi-line, multi-stage manufacturing system
The significance of production rate, average Work in Process (WIP) and average waiting times for the processes CONWIP, EKCS, SEKCS, IEKCS, HSEKCS and HIEKCS are revealed in the individual figures
Summary
For the last few decades, global market configuration had altered largely due to hasty advancement of technology. Manufacturing industries are subjected to global antagonism, Which causes them to maintain up with new perceptions and even to practically fit into their every day manufacturing schedule persistently struggle to their insistent benefit meticulously in the hardware and automobile manufacturing sector. Just in time (JIT) manufacturing depends on real demand prompting the release of the job into the arrangement, and pulling of the job throughout the production system to fulfill the demand order In such incidents, Kanban control practice has been a kind of revolution. In pull control systems optimization of manufacturing control is accomplished by functionally comprehending quite a lot of manufacturing activities into various stages after that synchronizing the discharge of parts into every stage, by the entrance of customer demands for the final manufactured goods
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