Performance Evaluation of Pull Production Control Mechanisms by Mathematical Modeling and Simulation Analysis on EKCS and HEKCS Policies

Predictive simulation is an advanced analytical technology that is used to support complex decision making within business and organizations. This paper introduces a new mechanism for the co-ordination of machines and other facilities in multi stage manufacturing system. The methodology is mainly to control and optimize the resources in the intelligent manufacturing environment , using discrete event simulation to model, evaluate and compare the performance of Extended Kanban Control System (EKCS), and the projected Hybrid Extended Kanban Control System (HEKCS). Here we are proposing the Hybrid Extended Kanban Control System (HEKCS), hybridization of Conwip sytem to aggravate Hybrid Extended Kanban Control System (HEKCS) to develop the combined advantages and also to study their effect in a typical manufacturing environment. A typical multi stage assembly manufacturing system is considered and the system with each hybrid control mechanism is modeled and Simulation studies were performed for 2880 hrs to evaluate the performance parameters like Average Workin-Process, Production rate and Average Waiting Time for all the control mechanisms with exponentially anecdotal demands.