An integrated model of production scheduling, maintenance and quality for a single machine

Duffuaa, Salih O.; Kolus, Ahmet; Al‐Turki, Umar M.; El-Khalifa, Ahmed

doi:10.1016/j.cie.2019.106239

Cited by 46 publications

(11 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Taghipour, S. [ 6 ] studied this strategy by monitoring the degradation of components in production lines, using an exponential model to obtain the best maintenance strategy. Duffuaa, S. [ 7 ], however, related the study of PPM to monitoring and process decisions on a single-stage machine.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

García

Salgado

2021

Sensors

View full text Add to dashboard Cite

The study of reliability, availability and control of industrial manufacturing machines is a constant challenge in the industrial environment. This paper compares the results offered by several maintenance strategies for multi-stage industrial manufacturing machines by analysing a real case of a multi-stage thermoforming machine. Specifically, two strategies based on preventive maintenance, Preventive Programming Maintenance (PPM) and Improve Preventive Programming Maintenance (IPPM) are compared with two new strategies based on predictive maintenance, namely Algorithm Life Optimisation Programming (ALOP) and Digital Behaviour Twin (DBT). The condition of machine components can be assessed with the latter two proposals (ALOP and DBT) using sensors and algorithms, thus providing a warning value for early decision-making before unexpected faults occur. The study shows that the ALOP and DBT models detect unexpected failures early enough, while the PPM and IPPM strategies warn of scheduled component replacement at the end of their life cycle. The ALOP and DBT strategies algorithms can also be valid for managing the maintenance of other multi-stage industrial manufacturing machines. The authors consider that the combination of preventive and predictive maintenance strategies may be an ideal approach because operating conditions affect the mechanical, electrical, electronic and pneumatic components of multi-stage industrial manufacturing machines differently.

show abstract

Section: Introductionmentioning

confidence: 99%

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

García

Salgado

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The produced items were inspected, and all the products were sold with a free minimal repair warranty. Duffuaa et al [16] presented a model to plan production, maintenance and quality simultaneously. At first, they optimized a preventive maintenance schedule.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model for the joint planning of maintenance and safety stock in deteriorating imperfect manufacturing systems

2021

View full text Add to dashboard Cite

In this article, a mathematical model is proposed for the joint planning of maintenance policies and inventory control in a deteriorating production system. A safety stock is maintained to meet the demand during the conduction of maintenance actions and to avoid shortages. The optimal planning of maintenance and inventory improves the productivity of the manufacturing system. In a deteriorating production system, the process has two operational states including in-control and out-of-control states as well as a non-operational state, or failure mode. The time for the transition among the states follows a general continuous distribution. The time duration of maintenance actions is also considered as a random variable. The purpose of this study is to optimize the safety stock level and the time to conduct maintenance actions so that the expected total cost per time unit can be minimized. To verify the efficiency of the model, some numerical examples are solved with a genetic algorithm, and validation is conducted for the solutions. Finally, sensitivity analyses are performed on the critical parameters.

show abstract

“…In recent years, many scholars have studied the joint optimization problem of system maintenance and production scheduling. Duffuaa et al 3 formulated a hybrid maintenance strategy of PM and corrective maintenance (CM) for a single equipment, and established a joint model aiming at minimizing the total maintenance cost. Cui 4 also for a single machine, considering the influence of fault uncertainty, in order to minimize the weighted sum of quality robustness and solution robustness, an integrated model of production scheduling and maintenance is established.…”

Section: Introductionmentioning

confidence: 99%

Joint decision of condition-based maintenance and production scheduling for multi-component systems

Zhang

Gan

Hou

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

In this study, system maintenance and production scheduling are jointly decided to solve the problems of resource idleness and time cost increase due to system maintenance in the processing of production scheduling. Based on the previous research on the integration of scheduling and maintenance of single machine and multi machine, considering the deterioration and economic dependence of each component in the system, a joint strategy of multi component condition-based maintenance combined with production scheduling is formulated. All the maintenance combinations and probability calculation formulas in the production scheduling process are developed using the deterioration state space partition method, and the probability density function and its numerical solution method are derived. A joint decision model is established to minimize the total weighted expected completion time. Finally, taking the KS5 adjustable multi axis tapping machine as an example, numerical experiments were conducted to verify the correctness of the proposed strategy and the established model.

show abstract

An integrated model of production scheduling, maintenance and quality for a single machine

Cited by 46 publications

References 33 publications

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine

A mathematical model for the joint planning of maintenance and safety stock in deteriorating imperfect manufacturing systems

Joint decision of condition-based maintenance and production scheduling for multi-component systems

Contact Info

Product

Resources

About