Decision and Optimization for Preventive Replacement Contents of Ship Equipment with Multistate System

2015 ◽  
Vol 741 ◽  
pp. 594-598
Author(s):  
Jia Liu ◽  
Jian Wei Lv ◽  
Jing Bo Yan
Keyword(s):  
Heuristic Algorithm ◽  
Pareto Optimality ◽  
Case Analysis ◽  
Replacement Cost ◽  
Preventive Replacement ◽  
Optimality Model ◽  
Multistate System ◽  
Replacement Time

To scientifically analyze the preventive replacement contents of ship equipment with multiple performance states during sea service, this paper builds a Pareto optimality model for replacement contents based on mission reliability, replacement time and replacement cost, brings forward a heuristic algorithm to constantly eliminate non-inferior solution and impossible solution, and presents a case analysis to verify accuracy of model and operability of algorithm.

scholarly journals Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 299
Author(s):  
Ainur Zhumadillayeva ◽  
Batyr Orazbayev ◽  
Saya Santeyeva ◽  
Kanagat Dyussekeyev ◽  
Rita Yi Man Li ◽  
...  
Keyword(s):  
Waste Management ◽  
Heuristic Algorithm ◽  
Pareto Optimality ◽  
System Analysis ◽  
Oil Refinery ◽  
Environmental Standards ◽  
Combined Application ◽  
Fuzzy Environment ◽  
Production And Consumption ◽  
Technological Facility

This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering environmental standards that apply to the field of macroeconomics and microeconomics. The proposed approach used MANAGER software to formalise and solve the problem of revenue optimisation with production waste management to optimise the production of oil products with waste management at a specific technological facility of the Atyrau oil refinery in Kazakhstan. Based on the combined application of the principles of maximin and Pareto optimality, a formulation of the problem of production optimisation with waste management was obtained and a heuristic algorithm for solving the formulated fuzzy optimisation problem with waste management was developed.

scholarly journals Penentuan Interval Waktu Penggantian Komponen Kritis Pada Mesin Volpack Menggunakan Metode Age Replacement

2017 ◽  
Vol 16 (2) ◽  
pp. 92
Author(s):  
Yanuar Yuda Prawiro
Keyword(s):  
Cost Savings ◽  
Solenoid Valve ◽  
Time Interval ◽  
Preventive Replacement ◽  
Replacement Method ◽  
Schedule Interval ◽  
Age Replacement ◽  
Engine Components ◽  
A Company ◽  
Replacement Time

CV. Cool Clean is a company engaged in packing tissue. During this time the company only perform corrective action that causes disruption of the production process due to frequent damage of a sudden the engine components volpack. In this study used a model of preventive replacement that can reduce downtime and costs. The method used to obtain the schedule interval a critical component is age replacement method. Seal heater obtained replacement time interval of 30 days with a 22% reduction in downtime. Replacement interval for knife foil is 26 days with a 27% reduction in downtime. Replacement interval for solenoid valve is30 days with a 29% reduction in downtime. Replacement interval forOring seal is 18 days with a 29% reduction in downtime. Replacement interval for needle bearing is 62 days with a 25% reduction in downtime. Results of this study also showed that by applying age replacement can save costs for seal heater Rp. 974.000 or 23%. Knife foil cost savings of Rp. 1.251.409 or 22%. Solenoid valve cost savings of Rp.546.539 or 24%. Oring seal cost savings of Rp. 350.096 or 26%. And needle bearing cost savings of Rp. 196.712 or 26%.

Age replacement policies for two-component systems with stochastic dependence

2015 ◽  
Vol 21 (3) ◽  
pp. 346-357 ◽  
Author(s):  
Zouheir Malki ◽  
Daoud Ait-Kadi ◽  
Mohamed-Salah Ouali
Keyword(s):  
Random Variable ◽  
Replacement Policy ◽  
Replacement Cost ◽  
Stochastic Dependence ◽  
Content Type ◽  
Preventive Replacement ◽  
Component Systems ◽  
Two Component ◽  
Two Component Systems ◽  
Age Replacement

Purpose – The purpose of this paper is to investigate age replacement policies for two-component parallel system with stochastic dependence. The stochastic dependence considered, is modeled by a one-sided domino effect. The failure of component 1 at instant t may induce the failure of component 2 at instant t+τ with probability p 1→2. The time delay τ is a random variable with known probability density function h p 1→2 (.). The system is considered in a failed state when both components are failed. The proposed replacement policies suggest to replace the system upon failure or at age T whichever occurs first. Design/methodology/approach – In the first policy, costs and durations associated with maintenance activities are supposed to be constant. In the second replacement policy, the preventive replacement cost depends on the system’s state and age. The expected cost per unit of time over an infinite span is derived and numerical examples are presented. Findings – In this paper and especially in the second policy, the authors find that the authors can get a more economical policy if the authors consider that the preventive replacement cost is not constant but depends on T. Originality/value – In this paper, the authors take into account of the stochastic dependence between system components. This dependence affects the global reliability of the system and replacement’s periodicity. It can be used to measure the performance of the system et introduced into design phase of the system.

OPTIMAL AGE REPLACEMENT AND INSPECTION POLICIES WITH RANDOM FAILURE AND REPLACEMENT TIMES

2011 ◽  
Vol 18 (05) ◽  
pp. 405-416 ◽  
Author(s):  
TOSHIO NAKAGAWA ◽  
XUFENG ZHAO ◽  
WON YOUNG YUN
Keyword(s):  
Finite Time ◽  
Failure Time ◽  
Replacement Policy ◽  
Inspection Cost ◽  
Preventive Replacement ◽  
Optimal Policies ◽  
Excess Costs ◽  
Random Failure ◽  
Age Replacement ◽  
Replacement Time

It is well-known in the standard age replacement policy that a finite preventive replacement time does not exist when the failure time is exponential and the optimal preventive replacement time is nonrandom. It is shown that when the failure time is exponential, a finite time exists by introducing the shortage and excess costs. In addition, the random age replacement is proposed and similar discussions are made. Furthermore, the periodic and random inspection policies are taken up, and their optimal policies are shown to correspond theoretically to those of the age replacement ones. It is shown finally that when the random inspection cost is the half of the periodic one, two expected costs are almost the same.

Mode Deactivation Therapy: A theoretical case analysis (Part II).

2004 ◽  
Vol 4 (4) ◽  
pp. 395-434
Author(s):  
J. A. Apsche ◽  
S. R. Ward Bailey
Keyword(s):  
Case Analysis
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