Optimizing the integrated economic production quantity for a stochastically deteriorating production system under condition-based maintenance

This paper proposes a new integrated economic production quantity (EPQ) and condition-based maintenance (CBM) model for a stochastically deteriorating production system. Inspections are performed periodically to measure the real time degradation. The system fails (out-of-control) whenever its degradation is beyond a critical threshold level. In the out-of-control state, a proportion of nonconforming items are produced. To assess the degradation of the system and to increase the production of conforming items, preventive maintenance (PM) actions are carried out. An integrated EPQ and CBM optimization model that minimizes the total expected cost rate over an infinite time horizon is developed. The objective is to determine a joint optimal EPQ and PM strategy minimizing the sum of inspection/maintenance and setup costs, cost of nonconforming items in addition to inventory holding cost. Numerical experiments are provided to illustrate the proposed approach

Integrated production quality and condition-based maintenance optimisation for a stochastically deteriorating manufacturing system

This paper investigates the problem of optimally integrating production quality and condition-based maintenance in a stochastically deteriorating single- product, single-machine production system. Inspections are periodically performed on the system to assess its actual degradation status. The system is considered to be in ‘fail mode’ whenever its degradation level exceeds a predetermined threshold. The proportion of non-conforming items, those that are produced during the time interval where the degradation is beyond the specification threshold, are replaced either via overtime production or spot market purchases. To optimise preventive maintenance costs and at the same time reduce production of non-conforming items, the degradation of the system must be optimally monitored so that preventive maintenance is carried out at appropriate time intervals. In this paper, an integrated optimisation model is developed to determine the optimal inspection cycle and the degradation threshold level, beyond which preventive maintenance should be carried out, while minimising the sum of inspection and maintenance costs, in addition to the production of non-conforming items and inventory costs. An expression for the total expected cost rate over an infinite time horizon is developed and solution method for the resulting model is discussed. Numerical experiments are provided to illustrate the proposed approach

Production and Warranty Optimal Period in Deteriorating Production Systems by Considering Inspection of both Manufacturing Equipment and Products Simultaneously

Traditionally high share of production-distribution costs to inventory and supply policy dedicated. The production model of politics is important for a system of distribution, taking into account the actual conditions of production and optimal production parameters influenced. One of these conditions is that the production equipment during production turned out of control and produce defective products. It is possible to change the mode in real terms, and then significantly increase the amount of defective products. Despite these conditions, one of the parameters affecting the demand for products and sales, and consequently the amount of corporate profits is the product warranty. The after-sales service product parameter influencing the willingness of consumers to buy the product. In this work, it consider the potential failure of production equipment, as well as the product warranty, mathematical models of inventory control policy, based on actual production conditions for the production units. This model is aimed at achieving the optimal length of time in each period and for optimum product warranty with respect to maximizing profits per unit of time. In other words, the goal is create an optimal balance between product sales revenue and costs incurred during the period of warranty for the product. In fact, in this article will discuss this model and its resolution

A study in joint maintenance scheduling and production planning

Master'sMASTER OF ENGINEERIN

Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment