Research of an integrated decision model for production scheduling and maintenance planning with economic objective

This paper proposes a multicriteria decision model based on MAUT (Multiattribute Utility Theory) incorporated into an RCM (Reliability Centered Maintenance) approach in order to provide a better assessment of the consequences of failure, allowing a more effective maintenance planning. MAUT provides an evaluation of probability distributions on each attribute as well as trade-offs involving lotteries. The model proposed takes advantage of such evaluations and it also restructures consequence groups established in an RCM approach into new five dimensions. As a result, overall indices of utility are computed for each failure mode analyzed. With these values, the ranking of the alternatives is established. The decision-maker’s preferences are taken into account so that the final result for each failure mode incorporates subjective aspects based on the decision-maker’s perceptions and behavior.

Download Full-text

Genetic algorithms for integrated preventive maintenance planning and production scheduling for a single machine

Computers in Industry ◽

10.1016/j.compind.2004.06.005 ◽

2005 ◽

Vol 56 (2) ◽

pp. 161-168 ◽

Cited By ~ 87

Author(s):

N. Sortrakul ◽

H.L. Nachtmann ◽

C.R. Cassady

Keyword(s):

Genetic Algorithms ◽

Single Machine ◽

Preventive Maintenance ◽

Production Scheduling ◽

Maintenance Planning

Download Full-text

Multiobjective Joint Optimization of Production Scheduling and Maintenance Planning in the Flexible Job-Shop Problem

Mathematical Problems in Engineering ◽

10.1155/2015/725460 ◽

2015 ◽

Vol 2015 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Jianfei Ye ◽

Huimin Ma

Keyword(s):

Decision Making ◽

Optimization Model ◽

Preventive Maintenance ◽

Production Scheduling ◽

Job Shop ◽

Joint Optimization ◽

Planning Problem ◽

Flexible Job Shop ◽

Maintenance Planning ◽

Joint Decision

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.

Download Full-text