Abstract
Modern industrial projects face many challenges in order to sustain their productivity in a capital effective manner. Operational costs and production lines maintenance policy is on the top factors that play critical roles in that challenge. Linear programming is utilized in this paper to examine the possible minimization of the operational cost and determine an effective optimal maintenance policy for middle-sized furniture manufacturing plant in Baghdad city, taking under consideration all alternatives, non-sensitivity, and solidness. A mixture of Markov decision processes and linear programming analysis is implemented for the actual site and operational data to help decision-makers in planning for their project’s mid and long term maintenance policy and performing Solidness and, as result, the tentative cost reduction scheme.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
