scholarly journals A Decision Optimization Model for Leased Manufacturing Equipment with Warranty under Forecasting Production/Maintenance Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Zied Hajej ◽  
Nidhal Rezg ◽  
Ali Gharbi
Keyword(s):  
Optimization Problem ◽  
Production Equipment ◽  
Maintenance Optimization ◽  
Warranty Period ◽  
Decision Optimization ◽  
Extended Warranty ◽  
Lease Contract ◽  
Maintenance Policies ◽  
Theoretical Condition ◽  
Maintenance Problem

Due to the expensive production equipment, many manufacturers usually lease production equipment with a warranty period during a finite leasing horizon, rather than purchasing them. The lease contract contains the possibility of obtaining an extended warranty for a given additional cost. In this paper, based on the forecasting production/maintenance optimization problem, we develop a mathematical model to study the lease contract with basic and extended warranty based on win-win relationship between the lessee and the lessor. The influence of the production rates in the equipment degradation consequently on the total cost by each side during the finite leasing horizon is stated in order to determine a theoretical condition under which a compromise-pricing zone exists under different possibilities of maintenance policies.

scholarly journals Research on Pricing of Flexible Two-Dimensional Extended Warranty Considering Preventive Maintenance

2019 ◽  
Vol 37 (2) ◽  
pp. 393-400
Author(s):  
Xiaolei Zhang ◽  
Chun Su
Keyword(s):  
Preventive Maintenance ◽  
Two Dimensional ◽  
Maintenance Strategy ◽  
Pricing Model ◽  
Reduction Model ◽  
Warranty Period ◽  
Extended Warranty ◽  
Warranty Cost ◽  
Usage Rates

Facing the uncertainty in transaction of two-dimensional extended warranty, a flexible pricing model is presented considering imperfect preventive maintenance combined with the degradation characteristics of item. The measure of two-dimensional preventive maintenance is carried out based on specified age interval or usage interval, the effect of imperfect preventive maintenance is described by age reduction model. The extended warranty cost is modeled from the perspective of manufacturer and customer, the method of gridding search is employed to optimize the maintenance strategy under different cases. Moreover, customized extended warranty price and warranty services are proposed on the basis of consumer usage rates. The results demonstrate that it is helpful to maximize the benefit of vendor by providing customized warranty strategy, the implementation of preventive maintenance during the whole warranty period can effectively reduce warranty cost for both sides.

scholarly journals Customized Preventive Maintenance Strategies for Products Sold with Two-Dimensional Warranty

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fangqi Dong ◽  
Huaqiang Wang ◽  
Feng Men ◽  
Lijun Liang
Keyword(s):  
Numerical Analysis ◽  
Preventive Maintenance ◽  
Programming Model ◽  
Two Dimensional ◽  
Maintenance Costs ◽  
Maintenance Strategies ◽  
Warranty Period ◽  
Extended Warranty ◽  
Warranty Cost ◽  
Warranty Costs

Two-dimensional warranty has played a significant role in improving product quality and competitiveness. However, two-dimensional basic warranty (BW) and extended warranty (EW) have not yet been combined effectively, and the customized maintenance strategies based on the consumers’ heterogeneity have been quite limited, which result in high maintenance costs. In this paper, the possibility of reducing warranty cost over BW and EW is explored by classifying customers based on their usage rates and then offering them with customized preventive maintenance (PM) strategies. By considering the purchasing ratio of EW contracts, the PM strategies for BW and EW are closely combined by the bi-level programming model. Numerical analysis is given to show the application of the proposed warranty strategy, and the significant findings and sensitivity of the main parameters are analyzed in the end. The findings demonstrate that the customized PM strategies combining BW and EW can effectively reduce warranty costs within the warranty period and provide a scientific guidance for manufacturers to design a more reasonable PM strategy.

scholarly journals Optimal Maintenance Policy for Second-Hand Equipments under Uncertainty

2021 ◽  
Author(s):  
Ibrahima dit Bouran Sidibe ◽  
Imene Djelloul ◽  
Abdou Fane ◽  
Amadou Ouane
Keyword(s):  
Life Cycle ◽  
Optimization Problem ◽  
Random Variable ◽  
Spare Parts ◽  
Maintenance Optimization ◽  
Maintenance Policy ◽  
Optimal Operating Condition ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy ◽  
Preventive Repair

This chapter addresses a maintenance optimization problem for re-manufactured equipments that will be reintroduced into the market as second-hand equipments. The main difference of this work and the previous literature on the maintenance optimization of second-hand equipments is the influence of the uncertainties due to the indirect obsolescence concept. The uncertainty is herein about the spare parts availability to perform some maintenance actions on equipment due to technology vanishing. The maintenance policy involves in fact a minimal repair at failure and a preventive repair after some operating period. To deal with this shortcoming, the life cycle of technology or spare parts availability is defined and modeled as a random variable whose lifetimes distribution is well known and Weibull distributed. Accordingly, an optimal maintenance policy is discussed and derived for such equipment in order to overcome the uncertainty on reparation action. Moreover, experiments are then conducted and different life cycle of technologies are evaluated according to their obsolescence processes (accidental or progressive vanishing) on the optimal operating condition.

scholarly journals Developing and Deploying Electronics Assembly Line Optimization Tools: A Motorola Case Study

2008 ◽  
Vol 2 (2) ◽  
pp. 63-78 ◽  
Author(s):  
Thomas M. Tirpak
Keyword(s):  
Optimization Problem ◽  
Integer Program ◽  
Production Equipment ◽  
Electronics Assembly ◽  
Cycle Times ◽  
Linear Integer Program ◽  
Planning Decision ◽  
Placement Accuracy ◽  
High Degree

The assignment of workloads to production equipment is one category of planning decision for an electronics assembly factory. In practice, line balancing requires not only selecting machines with sufficient placement accuracy and feeder capacity, but also address- ing a host of other operational objectives and constraints. Motorola Labs led a multi-year effort to apply mathematical programming to balance a variety of production mix and vol- ume scenarios. By representing the optimization problem as a specially structured, mixed linear-integer program, we were able to incorporate a high degree of reality in the model, simultaneously optimizing fixed setups, handling custom parts, maximizing machine uptime, and mitigating secondary bottlenecks. This paper presents the story of how we developed and deployed a software solution that significantly improved assembly cycle times, setup changeovers, and overall factory productivity, saving the company tens of millions of dollars.

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