Open AccessMaximizing Machine Capacity by Improving Efficiency using Linear Programming Model
Author(s) -
P. Sivasankaran,
AUTHOR_ID,
B. Radjaram,
K. Karthigayan,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4217.099320
Subject(s) - capacity planning , computer science , production (economics) , product (mathematics) , work (physics) , linear programming , production planning , industrial engineering , operations research , engineering , algorithm , mathematics , economics , mechanical engineering , geometry , macroeconomics , operating system
In the global manufacturing system, machine performance is considered to be one of the vital role in organization wellbeing. In specific analysing the capacity utilization of machines in each shift is a big challenging job in industrial organization. The primary importance is keeping the machines in uptime condition at the same time loading the jobs in machines decides the capacity usage of machines to do the useful jobs. In this paper focus is made on the capacity planning of machines in production shift. capacity utilization measures the actual capacity of machine with respect to the potential output within a specific period. In real situations if the demand for the product increases the production capacity also increases but at the same time if the demand falls capacity will also become very low. Hence in this work attempt has been made to develop a mathematical model for machine capacity planning using linear programming model solved by using LINDO software.