Joint Optimization of Production Scheduling with Integrated Maintenance Scheduling and Quality Control Policy

2016 ◽  
pp. 219-266
Keyword(s):  
Quality Control ◽  
Production Scheduling ◽  
Control Policy ◽  
Maintenance Scheduling ◽  
Joint Optimization

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

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
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.

Is the soundness-only quality control policy of open access mega journals linked to a higher rate of published errors?

2019 ◽  
Vol 120 (2) ◽  
pp. 917-923 ◽  
Author(s):  
Mohammadamin Erfanmanesh ◽  
Jaime A. Teixeira da Silva
Keyword(s):  
Quality Control ◽  
Open Access ◽  
Control Policy

Development of least-cost water quality control policies for the Nitra River basin in Slovakia

1994 ◽  
Vol 30 (5) ◽  
pp. 69-78 ◽  
Author(s):  
L. Somlyódy ◽  
M. Kularathna ◽  
I. Masliev
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Economic Transition ◽  
Water Quality Management ◽  
Cost Savings ◽  
Control Policy ◽  
Simulation Models ◽  
Industrial Emissions ◽  
Water Quality Control ◽  
Policy Model

The Nitra is one of the most polluted rivers in Slovakia due to numerous municipal and industrial discharges, as well as the low level of wastewater treatment. The ongoing economic transition and lack of financial resources for water quality management calls for the development of short-run least-cost policies on the basis of ambient standards or a combination of ambient and effluent ones. A water quality control policy model was developed which incorporates dissolved oxygen simulation models, alternative municipal treatment plans and dynamic programming. Least-cost policies to achieve various water quality goals were developed and compared to effluent standard based strategies (including that deriving from the application of the “best available technology”). The role of industrial emissions was demonstrated in a sensitivity fashion, while the influence of parameter uncertainty on the developed policies was analyzed in a multiobjective framework. The analyses show that significant cost savings are possible in comparison to uniform, effluent standard policies. They also suggest that a long-term strategy should be realized on the basis of a sequence of properly phased least-cost policies corresponding to ambient standards to be tightened gradually.

Selective maintenance optimization under schedule and quality constraints

2016 ◽  
Vol 33 (7) ◽  
pp. 1030-1059 ◽  
Author(s):  
Pravin P Tambe ◽  
Makarand S Kulkarni
Keyword(s):  
Quality Control ◽  
Production Scheduling ◽  
Optimal Schedule ◽  
Integrated Approach ◽  
Computational Time ◽  
Shop Floor ◽  
Content Type ◽  
Total Cost ◽  
Selective Maintenance ◽  
Expected Total Cost

Purpose – The traditional practice for maintenance, quality control and production scheduling is to plan independently irrespective of an interrelationship exist between them. The purpose of this paper is to develop an approach for integrating maintenance, quality control and production scheduling. The objective is to investigate the benefits of the integrated effect in terms of the expected total cost of system operation of the three functions. Design/methodology/approach – The proposed approach is based on the conditional reliability of the components. Cost model for integrating selective maintenance, quality control using sampling-based procedure and production scheduling is developed using the conditional reliability. An integrated approach is such that, first an optimal schedule for the batches to be processed is obtained independently while the maintenance and quality control decisions are optimized considering the optimal schedule on the machine. The expected total cost of conventional approach, i.e. “No integration” is calculated to compare the effectiveness of integrated approach. Findings – The integrated approach have shown a higher cost saving as compared to the independent planning approach. The approach is practical to implement as the results are obtained in a reasonable computational time. Practical implications – The approach presented in this paper is generic and can be applied at planned as well as unplanned opportunities. The proposed integrated approach is dynamic in nature, as during maintenance opportunities, it is possible to optimize the decision on maintenance, quality control and production scheduling considering the current age of components and production requirement. Originality/value – The originality of the paper is in the approach for integration of the three elements of shop floor operations that are usually treated separately and rarely touched upon by researchers in the literature.

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