scholarly journals A MULTI-OBJECTIVE APPROACH TO OPTIMIZE A PERIODIC MAINTENANCE POLICY

2012 ◽  
Vol 19 (06) ◽  
pp. 1240002 ◽  
Author(s):  
ANTONELLA CERTA ◽  
MARIO ENEA ◽  
GIACOMO GALANTE ◽  
TONI LUPO
Keyword(s):  
Programming Model ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Multi Objective ◽  
System A ◽  
Periodic Maintenance ◽  
Finite Time Horizon ◽  
Multi Component System

The present paper proposes a multi-objective approach to find out an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical system inspection by ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that in the case of system elements failure they are instantaneously detected and repaired by means of minimal repair actions in order to rapidly restore the system. A nonlinear integer mathematical programming model is developed to solve the treated multi-objective problem, whereas the Pareto optimal frontier is described by the Lexicographic Goal Programming and the ε-constraint methods. To explain the whole procedure, a case study is solved and the related considerations are given.

Optimal Preventive Maintenance Policy Under a Budget Constraint

2008 ◽  
Author(s):  
Inderjeet Singh ◽  
Elmira Popova ◽  
Ernie Kee
Keyword(s):  
Preventive Maintenance ◽  
Real Data ◽  
Integer Program ◽  
South Texas ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Data Set ◽  
Finite Time Horizon ◽  
Preventive Maintenance Policy ◽  
Operating Company

We design an optimal preventive maintenance policy for a system of N items that minimizes the total expected maintenance cost. We assume that the budget for preventive maintenance is limited and constrained. The problem has a finite time horizon and we consider constant inter-preventive maintenance times for every item. The resulting nonlinear optimization problem is reformulated as a binary integer program and computation results are presented on a real data set from South Texas Project Nuclear Operating Company in Bay City, Texas, USA.

scholarly journals Automatically determines the length of the dual system to a bivalent system

2018 ◽  
Vol XIX (1) ◽  
pp. 50-57
Keyword(s):  
Subsequent Development ◽  
Dual System ◽  
Point Of View ◽  
Automatic Determination ◽  
Stable States ◽  
System A ◽  
Minimum Number ◽  
System Length

From the point of view of reliability theory, a system can have two stable states: functioning and defect (bivalent system). Any system is a set of elements. Each element in this set can be found in one of the following states: operating state and fault condition. A subset of elements in the running state is called a system link if they only ensure the system works. The length of a bivalent system is equal to the minimum number of elements that the system holds. In this paper we present an algorithm for automatic determination of dual system length to a bivalent system, a Matlab script, a case study and subsequent development directions.

scholarly journals Algorithm to Automatically Determine the Length of a Bivalent System

2018 ◽  
Vol 24 (3) ◽  
pp. 83-88
Author(s):  
Paul Vasiliu
Keyword(s):  
Subsequent Development ◽  
Reliability Theory ◽  
Point Of View ◽  
Automatic Determination ◽  
Stable States ◽  
System A ◽  
Minimum Number

Abstract From the point of view of reliability theory, a system can have two stable states: functioning and defect (bivalent system). Any system is a set of elements. Each element in this set can be found in one of the following states: operating state and fault condition. A subset of elements in the running state is called a system link if they only ensure the system works. The length of a bivalent system is equal to the minimum number of elements that the system holds. In this paper we present an algorithm for the automatic determination of the length of a bivalent system, a Matlab script, a case study and subsequent development directions

scholarly journals A new model for logistic and transportation of fashion goods in the presence of stochastic market demands considering restricted retailers capacity

2019 ◽  
Author(s):  
Aidin Delgoshaei ◽  
Hengameh Norozi ◽  
Abolfazl Mirzazadeh ◽  
Maryam Farhadi ◽  
Golnaz Hooshmand Pakdel ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Case Studies ◽  
Programming Model ◽  
Real Data ◽  
Objective Functions ◽  
Mathematical Programming Model ◽  
Multi Objective ◽  
Scheduling Method ◽  
Stochastic Market

In today’s world, using fashion goods is a vital of human. In this research, we focused on developing a scheduling method for distributing and selling fashion goods in a multi-market/multi-retailer supply chain while the product demands in markets are stochastic. For this purpose, a new multi-objective mathematical programming model is developed where maximizing the profit of selling fashion goods and minimizing delivering time and customer’s dissatisfaction are considered as objective functions. In continue due to the complexity of the problem, a number of metaheuristics are compared and a hybrid of Non-dominated Sorting Genetic Algorithm II (NSGAII) and simulated annealing is selected for solving the case studies. Then, in order to find the best values for input parameters of the algorithm, a Taguchi method is applied. In continue, a number of case studies are selected from literature review and solved by the algorithm. The outcomes are analyzed and it is found that using multi-objective models can find more realistic solutions. Then, the model is applied for a case study with real data from industry and outcomes showed that the proposed algorithm can be successfully applied in practice.

scholarly journals Automatic determination of the dual system width of to a bivalent system

2018 ◽  
Vol XIX (1) ◽  
pp. 58-64
Author(s):  
Vasiliu Paul
Keyword(s):  
Dual System ◽  
The Other ◽  
Automatic Determination ◽  
Stable States ◽  
System A ◽  
Minimum Number

A system is a set of elements that can be found in one of the following states: operating state and fault. Any system has two stable states: functioning and defect, which is why, in the theory of reliability, it is called a bivalent system. A subset of defective elements is called the system cut if all the other elements of the system are in operation and the system is defective. The width of a bivalent system is equal to the minimum number of elements the system cuts have. In this paper is presented an algorithm for automatic determination of the dual system width to a bivalent system, a Matlab script that implements the algorithm, a case study and subsequent directions of development.

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