Original scientific paper
Preventive maintenance effect on the aggregate production planning model with tow-phase production systems: modeling and solution methods
Esmaeil Mehdizadeh
; Islamic Azad University, Qazvin Branch
Amir Aydin Atashi Abkenar
Abstract
This paper develops two mixed integer linear
programming (MILP) models for an integrated
aggregate production planning (APP) system with
return products, breakdowns and preventive
maintenance (PM). The goal is to minimize the cost
of production with regard to PM costs,
breakdowns, the number of laborers and inventory
levels and downtimes. Due to NP-hard class of
APP, we implement a harmony search (HS)
algorithm and vibration damping optimization
(VDO) algorithm for solving these models. Next,
the Taguchi method is conducted to calibrate the
parameter of the metaheuristics and select the
optimal levels of factors influencing the
algorithm’s performance. Computational results
tested on a set of randomly generated instances
show the efficiency of the vibration damping
optimization algorithm against the harmony search
algorithm. We find VDO algorithm to obtain best
quality solutions for APP with breakdowns and
PM, which could be efficient for large scale
problems. Finally, the computational results show
that the objective function values obtained by APP
with PM are better than APP with breakdown
results.
Keywords
aggregate production planning; breakdown; preventive maintenance; vibration damping optimization; harmony search algorithm
Hrčak ID:
192864
URI
Publication date:
25.1.2018.
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