Reduction of Production using Dynamic Work Sequencing Shared with Buffer Optimization Applying Genetic Procedure in a Manufacturing System

Abstract

With the development of computer knowledge and its incorporation with the manufacture system, the production system has become highly flexible to produce large family of goods. One of the main aims of flexibility is to reduce the setup cost and time to respond to the market demands. Even the most flexible system may summon some setup cost in job changes; it is often desirable to change the sequence of jobs to further reduction in the setup cost and its related time. In this work, the effect of dynamic work sequencing on a diverging junction conveyor production line with the objective to save the manufacture cost & time have been presented. A production line which produces different variety of jobs is considered, where the raw part of different jobs arrives from the source randomly. Each batch of job has to undergo dissimilar processing operations. A production line is modelled and simulated using various production essentials and its influence on reducing the manufacturing time is presented. The object oriented, discrete event simulation software is used to model and simulate the production system. It has been observed that dynamic sequencing of the jobs reduces the processing time by an average of 17%.

Authors and Affiliations

Sharath Chandra. H. S, Raghavendra Pai. K, Arun Kumar. Y, Srinath. M. S

Keywords

Related Articles

Review on the Effect of Nanofiller Addition on the Technical Properties of Polymers

Prime important applications of rubber are such as inner tire liners and fuel hoses which should have excellent gas barrier properties. Much attention has been given by researchers in improving gas barrier properties bas...

The Effects of TiC Reinforcement on Thermal, Electrical and Dry Sliding Wear Behaviour of Aluminium Matrix Nanocomposites

The present work is to investigate the thermal, electrical & dry sliding wear behaviour of aaluminium matrix composite reinforced with dissimilar particle size (≤ 200 nm and 2 μm) of titanium carbide particles. An alumin...

DFM & Simulation for Injection Mould of Knob

This work deals with injection moulding simulation of Knob, in which the gate location, diameter and the possible defects during the filling& packing phase is determined and warpage effects under variable shrinkage with...

An Investigation on Mechanical Properties and Microstructure of Mg/Al Alloys using Zn Interlayer during Diffusion Bonding

The general prerequisites of a part in the mechanical, automobile and aviation have given many testing conditions. New materials can be found and manufactured to some valuable segments. This work is directed to get a bet...

The Role of Leadership Style in Churh Policy Implementation

The study examines leadership style and church policy implementation in Nigerian Pentecostal churches. A cross sectional survey study was adopted. Ten randomly selected Pentecostal churches with branches in every state i...

Download PDF file
  • EP ID EP612022
  • DOI 10.24247/ijmperdjun201916
  • Views 92
  • Downloads 0

How To Cite

Sharath Chandra. H. S, Raghavendra Pai. K, Arun Kumar. Y, Srinath. M. S (2019). Reduction of Production using Dynamic Work Sequencing Shared with Buffer Optimization Applying Genetic Procedure in a Manufacturing System. International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ), 9(3), 151-164. https://europub.co.uk/articles/-A-612022