scholarly journals Maintenance modelling and optimization in the industry 4.0 context: Applications to the maintenance and design of industrial vehicles

2021 ◽  
Vol 3 (2) ◽  
pp. 130-138
Author(s):  
Segolene Clemence Marie Mosser
Keyword(s):  
Industry 4.0 ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Component System ◽  
Total Cost ◽  
The Impact ◽  
Multi Component System ◽  
Modelling And Optimization ◽  
Monitoring Information

This paper focused on the maintenance problems encountered by industrial vehicles within the Volvo Group. The main goal of the research on this subject was to propose to customers’ a personalized maintenance offer which adapts to their constraints while reducing the impact on the operating costs. To achieve this, a policy has been developed. This policy works on the dynamic gathering of information using both the available monitoring information and the knowledge of the multi-component system. Its objective is to guarantee to the customer the autonomy of its system over given periods of operation while minimizing the total cost of maintenance. The paper showed that the policy developed does indeed reduce the total maintenance cost compared to the previous policy used within the Volvo group. Nevertheless, this policy still has room for improvement.

Bi-Criteria Optimization for Finding the Optimal Replacement Interval for Maintaining the Performance of the Process Industries

2016 ◽  
pp. 643-675 ◽  
Author(s):  
Harish Garg
Keyword(s):  
Maintenance Cost ◽  
Time Interval ◽  
Process Industries ◽  
Component System ◽  
Optimal Replacement ◽  
Maintenance Program ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
System Life ◽  
Multi Component System

The optimization of the maintenance decision making can be defined as an attempt to resolve the conflicts of decision situation in such a way that variable under the control of the decision maker take their best possible value. One of the most important controllable parameters is the time interval between maintenance. Most of the researchers have kept the fact that whenever the suitable maintenance interval is reached, the system is replaced with the original one. However the improvement of a system life not only depends on the replacement of deteriorated components, but also on the effectiveness of the maintenance. Taking care about this fact, the effects of maintenance of a multi-component system by combining the three main different PM actions, namely (1a), (1b) and (2p)-maintenance actions. Thus, the main purpose of an effective maintenance program is to present a technique for finding the optimal maintenance interval for the system by considering the multiple goals of the organization viz. maximum availability, minimum maintenance cost.

scholarly journals Condition-Based Maintenance Modeling and Reliability Assessment for Multi-Component Systems with Structural Dependence under Extended Warranty

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Rongcai Wang ◽  
Zhonghua Cheng ◽  
Enzhi Dong ◽  
Liqing Rong
Keyword(s):  
Cost Model ◽  
Cost Optimization ◽  
Planetary Gear ◽  
Gear Train ◽  
Condition Based Maintenance ◽  
Component System ◽  
Structural Dependence ◽  
Extended Warranty ◽  
The Impact ◽  
Multi Component System

For engineering and production systems, due to the structural dependence between components, the disassembly operation caused by the replacement of components will affect the failure and degradation processes of other components in the system. In order to optimize the extended warranty (EW) cost of the multi‐component system with structural dependence, this paper described the structural dependence and modeled the disassembly operation impact, and then the failure rate model of the component considering the impact of disassembly operation under EW was developed. Combined with the actual situation, a condition-based maintenance (CBM) strategy was employed to construct the EW cost model of the multi‐component system with structural dependence. Monte Carlo simulation was proposed to determine the optimal EW cost of the system and the optimal periodic inspection interval of the CBM strategy. Finally, a numerical example of the planetary gear train of an automobile generator is introduced to demonstrate the feasibility and advantages of the proposed model in EW cost optimization and the analysis of disassembly operation impact on the optimal maintenance strategy.

A condition-based opportunistic maintenance strategy for multi-component system

2018 ◽  
Vol 18 (1) ◽  
pp. 270-283 ◽  
Author(s):  
Hongshan Zhao ◽  
Fanhao Xu ◽  
Botong Liang ◽  
Jianping Zhang ◽  
Peng Song
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Condition Based Maintenance ◽  
Threshold Function ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Condition Indicator ◽  
Multi Component System

As a new dynamic maintenance strategy, the condition-based opportunistic maintenance strategy for multi-component system is presented in this work. In the strategy, the degeneration of each component is described by Weibull proportional hazards model or Weibull proportional intensity model, and the condition indicator is defined to characterize the operating state of each component. Then, when and how to maintain a component can be confirmed by comparing the value of the condition indicator with that of the maintenance threshold function. Condition-based maintenance will be implemented on a component if the value of its condition indicator exceeds that of its condition-based maintenance threshold function. Meanwhile, opportunistic maintenance will also be implemented on a component if the value of its condition indicator exceeds that of its opportunistic maintenance threshold function. The two maintenance threshold functions can be determined by minimizing maintenance cost. Finally, taking the wind turbine as an example of a multi-component system, simulation analyses are described to validate the feasibility and effectiveness of the condition-based opportunistic maintenance strategy.

scholarly journals Opportunistic Maintenance Policy for a Multi-Component System Subject to Random Failures

2017 ◽  
Vol 4 (2) ◽  
pp. 80-91
Author(s):  
H. Eldhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper, an opportunistic maintenance policy (OMP) for a multi-component system is studied. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. Each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period, the set of actions (among many others) must be determined in order to achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, a numerical example to explain the proposed maintenance policy and the optimization procedure is provided.

scholarly journals Opportunistic Maintenance Policy for A Multi-Component System Subject To Random Failures

2021 ◽  
Vol 4 (1) ◽  
pp. 15-27
Author(s):  
H. Elhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper we study an opportunistic maintenance policy (OMP) for a multi-component system. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. We suppose that each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period we must determine the set of actions (among many others) that will achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, we will give a numerical example to explain the proposed maintenance policy and the optimization procedure.

scholarly journals Assessment of the Impact of Industry 4.0 Technologies on the Economic Growth of the Russian Segment of Rail Transportation

2021 ◽  
Vol 31 (4) ◽  
pp. 431-438
Author(s):  
Ilia Gulyi
Keyword(s):  
Economic Growth ◽  
Industry 4.0 ◽  
Business Models ◽  
Growth Parameters ◽  
Physical Models ◽  
Operating Costs ◽  
Rail Transportation ◽  
Digital Business Models ◽  
The Impact ◽  
Electronic Channels

Formation of cyber-physical models in the economy is perceived as an imperative and the objective reality. However, the issues of developing scientific and methodological support for projects aimed at creating digital business models, namely, economic algorithms for their evaluation, are currently unsolved. The purpose of the study is to work out a system of indicators for assessing the impact of industry 4.0 technologies on economic growth, and further verification of the performance. The empirical base for the study is the reporting documents of the largest national carrier — Russian Railways Holding. The research methods include a descriptive diagnostics, statistic data structuring, a correlation analysis of data, a comparative analysis, and others. The results: the author proposes a system of statistic indicators for assessing the impact of industry 4.0 digital technologies on economic growth parameters, and makes an assessment of these indicators in Russian Railways Holding. Conclusion: investing in a digital business model enhances economic growth, increases marginalization via electronic channels and other means of interaction with the consumer, and provides for optimizing operating costs.

A block-based inspection policy for a multi-component system subject to two failure modes with stochastic dependence

2019 ◽  
Vol 25 (2) ◽  
pp. 314-339 ◽  
Author(s):  
Hamid Moakedi ◽  
Mohammad Seved Seyedhosseini ◽  
Kamran Shahanaghi
Keyword(s):  
Failure Modes ◽  
The Other ◽  
Component System ◽  
Stochastic Dependence ◽  
Content Type ◽  
Total Cost ◽  
Inspection Policy ◽  
Block Based ◽  
Finite Time Horizon ◽  
Multi Component System

Purpose The purpose of this paper is to model a block-based inspection policy for a multi-component system with stochastic dependence. Some components may develop a hidden failure, an occurrence of which neither stops the system nor accelerates the other components’ deterioration. On the other hand, other components may experience three states: healthy, defective and revealed failures. Any revealed failure of each component not only stops the system but also generates a shock to all the other ones, which increases their occurrence rate of hidden, defect and revealed failures. Design/methodology/approach A block-based inspection policy is considered to take advantage of economic dependence as follows. In addition to the periodic inspections, the system is also inspected at revealed failures’ moments of each component to detect and fix both defects and hidden failures on all the other components. To calculate the expected total cost, the recursive equations for the required expected values is first mathematically derived. Then, due to computational complexity, an efficient Monte Carlo simulation algorithm is designed to calculate the expected values. Findings The proposed approach is illustrated through a numerical example, and the optimal periodic inspection interval over a finite time horizon is obtained via minimization of the expected total cost. Finally, the correctness of the results is validated by conducting sensitivity analysis. Originality/value Planning an appropriate inspection policy over a finite time horizon becomes more complicated when considering a multi-component system because different units may experience different failure modes with stochastic dependence.

The ROLE OF CHINA-PAK ECONOMIC CORRIDOR (CPEC) IN LOGISTIC SYSTEM OF PAKISTAN’S AND CHINA’S

2019 ◽  
Vol 6 (1) ◽  
pp. 48-50
Author(s):  
Ikram Uddin
Keyword(s):  
Persian Gulf ◽  
Lead Time ◽  
Fiber Optic ◽  
Delivery Time ◽  
Fiber Optic Cable ◽  
Total Cost ◽  
Economic Complexity ◽  
Shipping Cost ◽  
The Impact

This study will explain the impact of China-Pak Economic Corridor (CPEC) on logistic system of China and Pakistan. This project is estimated investment of US $90 billion, CPEC project is consists of various sub-projects including energy, road, railway and fiber optic cable but major portion will be spent on energy. This project will start from Kashgar port of china to Gwadar port of Pakistan. Transportation is sub-function of logistic that consists of 44% total cost of logistic system and 20% total cost of production of manufacturing and mainly shipping cost and transit/delivery time are critical for logistic system. According to OEC (The Observing Economic Complexity) currently, china is importing crude oil which 13.4% from Persian Gulf. CPEC will china for lead time that will be reduced from 45 days to 10 days and distance from 2500km to 1300km. This new route will help to china for less transit/deliver time and shipping cost in terms of logistic of china. Pakistan’s transportation will also improve through road, railway and fiber optic cabal projects from Karachi-Peshawar it will have speed 160km per hour and with help of pipeline between Gwadar to Nawabshah gas will be transported from Iran. According to (www.cpec.inf.com) Pakistan logistic industry will grow by US $30.77 billion in the end of 2020.

Reduced influence of affective disorders on perioperative complication rates, length of hospital stay, and healthcare costs following spinal fusion for adolescent idiopathic scoliosis

2019 ◽  
Vol 24 (6) ◽  
pp. 722-727
Author(s):  
Aladine A. Elsamadicy ◽  
Andrew B. Koo ◽  
Megan Lee ◽  
Adam J. Kundishora ◽  
Christopher S. Hong ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Idiopathic Scoliosis ◽  
Affective Disorder ◽  
Affective Disorders ◽  
Complication Rates ◽  
Total Cost ◽  
Adolescent Patients ◽  
Perioperative Complication ◽  
The Impact

OBJECTIVEIn the past decade, a gradual transition of health policy to value-based healthcare has brought increased attention to measuring the quality of care delivered. In spine surgery, adolescents with scoliosis are a population particularly at risk for depression, anxious feelings, and impaired quality of life related to back pain and cosmetic appearance of the deformity. With the rising prevalence of mental health ailments, it is necessary to evaluate the impact of concurrent affective disorders on patient care after spinal surgery in adolescents. The aim of this study was to investigate the impact that affective disorders have on perioperative complication rates, length of stay (LOS), and total costs in adolescents undergoing elective posterior spinal fusion (PSF) (≥ 4 levels) for idiopathic scoliosis.METHODSA retrospective study of the Kids’ Inpatient Database for the year 2012 was performed. Adolescent patients (age range 10–17 years old) with AIS undergoing elective PSF (≥ 4 levels) were selected using the International Classification of Diseases, Ninth Revision, Clinical Modification coding system. Patients were categorized into 2 groups at discharge: affective disorder or no affective disorder. Patient demographics, comorbidities, complications, LOS, discharge disposition, and total cost were assessed. The primary outcomes were perioperative complication rates, LOS, total cost, and discharge dispositions.RESULTSThere were 3759 adolescents included in this study, of whom 164 (4.4%) were identified with an affective disorder (no affective disorder: n = 3595). Adolescents with affective disorders were significantly older than adolescents with no affective disorders (affective disorder: 14.4 ± 1.9 years vs no affective disorder: 13.9 ± 1.8 years, p = 0.001), and had significantly different proportions of race (p = 0.005). Aside from hospital region (p = 0.016), no other patient- or hospital-level factors differed between the cohorts. Patient comorbidities did not differ significantly between cohorts. The number of vertebral levels involved was similar between the cohorts, with the majority of patients having 9 or more levels involved (affective disorder: 76.8% vs no affective disorder: 79.5%, p = 0.403). Postoperative complications were similar between the cohorts, with no significant difference in the proportion of patients experiencing a postoperative complication (p = 0.079) or number of complications (p = 0.124). The mean length of stay and mean total cost were similar between the cohorts. Moreover, the routine and nonroutine discharge dispositions were also similar between the cohorts, with the majority of patients having routine discharges (affective disorder: 93.9% vs no affective disorder: 94.9%, p = 0.591).CONCLUSIONSThis study suggests that affective disorders may not have a significant impact on surgical outcomes in adolescent patients undergoing surgery for scoliosis in comparison with adults. Further studies are necessary to elucidate how affective disorders affect adolescent patients with idiopathic scoliosis, which may improve provider approach in managing these patients perioperatively and at follow-up in hopes to better the overall patient satisfaction and quality of care delivered.

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