scholarly journals Research and application of reliability-based cost optimization method for constant interval preventive maintenance

2022 ◽  
Vol 355 ◽  
pp. 02027
Author(s):  
Tao Zhang ◽  
Chen Qing ◽  
Na Yu
Keyword(s):  
Preventive Maintenance ◽  
Cost Optimization ◽  
Optimization Method ◽  
Analysis Model ◽  
Reliability Data ◽  
Corrective Maintenance ◽  
The Cost ◽  
Constant Interval ◽  
Unexpected Consequences

Preventive maintenance is a means to ensure the component is kept in the desired state. Lack of preventive maintenance will cause unexpected consequences for the component, and too much preventive maintenance will result in unnecessary investment of resources. Based on the reliability data of the component, this paper establishes an analysis model to determine the optimal preventive maintenance interval of the component to make the cost of preventive and corrective maintenance lowest.

ANALISIS PEMELIHARAAN MESIN RIDGER PALIR DI PT GREAT GIANT PINEAPPLE

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Burhan Nudin ◽  
Keyword(s):  
Preventive Maintenance ◽  
Spare Parts ◽  
High Price ◽  
Maintenance Period ◽  
Preventative Maintenance ◽  
Corrective Maintenance ◽  
Maintenance System ◽  
Maintenance Activities ◽  
Engine Maintenance ◽  
The Cost

Abstract The purpose of this study is to determine the optimization of machine maintenance which is applied by the company (companies), the problems that arise in the maintenance system, and the cost of both preventive maintenance and subsequent corrective maintenance activities, to determine the alternatives that is most optimal. The case study will be conducted in the PT Great Giant Pineapple by focusing the research on Ridger Palir machine. The selection will done in this machine, that is to say, considering terms of maintenance, and the high price of the spare parts. Based on the research results that have been done on PT Great Giant Pineapple, the engine maintenance activities, the general implementation of the engine maintenance, shows the company has been running pretty well, but not yet optimal. Out of the problems found in these, the author tried to find a solution by taking into account the cost efficient in carrying out maintenance and engine solutions to the problem of spare part procurement. Preventive maintenance system may be optimal for the efficiency of the company if the determination of the machine preventative maintenance period is predominant. Machine preventative maintenance period can be optimized with the average, that is, the average treatment which cab conducted once every 6 months. Keywords: maintenance, preventive maintenance, corrective maintenance

scholarly journals An Adaptive Optimization Method Based on Learning Rate Schedule for Neural Networks

2021 ◽  
Vol 11 (2) ◽  
pp. 850
Author(s):  
Dokkyun Yi ◽  
Sangmin Ji ◽  
Jieun Park
Keyword(s):  
Artificial Intelligence ◽  
Cost Function ◽  
Numerical Experiments ◽  
Global Minimum ◽  
Optimization Method ◽  
Learning Method ◽  
Adaptive Optimization ◽  
The Cost ◽  
Proof Of Convergence ◽  
Learning Data

Artificial intelligence (AI) is achieved by optimizing the cost function constructed from learning data. Changing the parameters in the cost function is an AI learning process (or AI learning for convenience). If AI learning is well performed, then the value of the cost function is the global minimum. In order to obtain the well-learned AI learning, the parameter should be no change in the value of the cost function at the global minimum. One useful optimization method is the momentum method; however, the momentum method has difficulty stopping the parameter when the value of the cost function satisfies the global minimum (non-stop problem). The proposed method is based on the momentum method. In order to solve the non-stop problem of the momentum method, we use the value of the cost function to our method. Therefore, as the learning method processes, the mechanism in our method reduces the amount of change in the parameter by the effect of the value of the cost function. We verified the method through proof of convergence and numerical experiments with existing methods to ensure that the learning works well.

Cost Optimization of Net-Zero Energy House

2007 ◽  
Author(s):  
George A. Mertz ◽  
Gregory S. Raffio ◽  
Kelly Kissock
Keyword(s):  
Energy Use ◽  
Cost Optimization ◽  
Building Design ◽  
Building Energy ◽  
Zero Energy ◽  
Resource Limitations ◽  
Net Zero Energy ◽  
Net Zero ◽  
Building Energy Use ◽  
The Cost

Environmental and resource limitations provide increased motivation for design of net-zero energy or net-zero CO2 buildings. The optimum building design will have the lowest lifecycle cost. This paper describes a method of performing and comparing lifecycle costs for standard, CO2-neutral and net-zero energy buildings. Costs of source energy are calculated based on the cost of photovoltaic systems, tradable renewable certificates, CO2 credits and conventional energy. Building energy simulation is used to determine building energy use. A case study is conducted on a proposed net-zero energy house. The paper identifies the least-cost net-zero energy house, the least-cost CO2 neutral house, and the overall least-cost house. The methodology can be generalized to different climates and buildings. The method and results may be of interest to builders, developers, city planners, or organizations managing multiple buildings.

scholarly journals Interventions with Sticky Social Norms: A Critique

2021 ◽  
Author(s):  
Rohan Dutta ◽  
David K Levine ◽  
Salvatore Modica
Keyword(s):  
Social Norms ◽  
Public Goods ◽  
Case Studies ◽  
General Model ◽  
Negative Externality ◽  
Pigouvian Tax ◽  
Policy Interventions ◽  
The Cost ◽  
Unexpected Consequences

Abstract We study the consequences of policy interventions when social norms are endogenous but costly to change. In our environment a group faces a negative externality that it partially mitigates through incentives in the form of punishments. In this setting policy interventions can have unexpected consequences. The most striking is that when the cost of bargaining is high introducing a Pigouvian tax can increase output - yet in doing so increase welfare. An observer who saw that an increase in a Pigouvian tax raised output might wrongly conclude that this harmed welfare and that a larger tax increase would also raise output. This counter-intuitive impact on output is demonstrated theoretically for a general model and found in case studies for public goods subsidies and cartels.

Impact of High Resolution 3D Geomechanics on Well Optimization in the Southern Gulf of Suez, Egypt

2021 ◽  
Author(s):  
Mohamed Elkhawaga ◽  
Wael A. Elghaney ◽  
Rajarajan Naidu ◽  
Assef Hussen ◽  
Ramy Rafaat ◽  
...  
Keyword(s):  
High Resolution ◽  
Pore Pressure ◽  
Cost Optimization ◽  
Oil Field ◽  
Wellbore Stability ◽  
Gulf Of Suez ◽  
Geomechanical Model ◽  
3D Geomechanical Model ◽  
The Cost ◽  
The Impact

Abstract Optimizing the number of casing strings has a direct impact on cost of drilling a well. The objective of the case study presented in this paper is the demonstration of reducing cost through integration of data. This paper shows the impact of high-resolution 3D geomechanical modeling on well cost optimization for the GS327 Oil field. The field is located in the Sothern Gulf of Suez basin and has been developed by 20 wells The conventional casing design in the field included three sections. In this mature field, especially with the challenge of reducing production cost, it is imperative to look for opportunites to optimize cost in drilling new wells to sustain ptoduction. 3D geomechanics is crucial for such cases in order to optimize the cost per barrel at the same time help to drill new wells safely. An old wellbore stability study did not support the decision-maker to merge any hole sections. However, there was not geomechanics-related problems recorded during the drilling the drilling of different mud weights. In this study, a 3D geomechanical model was developed and the new mud weight calculations positively affected the casing design for two new wells. The cost optimization will be useful for any future wells to be drilled in this area. This study documents how a 3D geomechanical model helped in the successful delivery of objectives (guided by an understanding of pore pressure and rock properties) through revision of mud weight window calculations that helped in optimizing the casing design and eliminate the need for an intermediate casing. This study reveals that the new calculated pore pressure in the GS327 field is predominantly hydrostatic with a minor decline in the reservoir pressure. In addition, rock strength of the shale is moderately high and nearly homogeneous, which helped in achieving a new casing design for the last two drilled wells in the field.

The cost competitiveness, competitiveness and sustainability of the hospitality industry in India

2016 ◽  
Vol 8 (4) ◽  
pp. 432-443 ◽  
Author(s):  
Madhu Vij
Keyword(s):  
Hospitality Industry ◽  
Cost Optimization ◽  
Cost Effective ◽  
Comprehensive Treatment ◽  
Global Level ◽  
Content Type ◽  
Present Context ◽  
Cost Competitiveness ◽  
Internal Operations ◽  
The Cost

Purpose This study aims to provide a comprehensive treatment of the various issues surrounding the concept of the cost competitiveness, competitiveness and sustainability of the hospitality industry. We also investigate how innovations in the Indian hospitality industry can optimize costs without compromising the quality of the product or the services offered. Design/methodology/approach The methodology used is mainly survey-based with the use of both structured and unstructured questionnaires. In addition, some interviews were conducted with policy-makers and academics to explore from their perspectives what might be the innovations and sustainability issues in the next decade. Findings The paper helps to identify the essential aspects of cost competitiveness, competitiveness and sustainability in the hospitality industry and to better understand if cost optimization can be accomplished simply by realigning process or cost. These issues have become very important in India in the present context of globalization. Practical implications With growing competition on a global level, the hospitality industry needs to proactively manage its internal operations and focus on reducing costs and raising service quality. In this context, the paper helps to reveal sustainable cost effective practices that are geared to today’s competitive environment. Originality/value The inspiration to write this paper arises from the recent global economic slowdown and the fact that the hospitality industry is confronted with growing competition on a global level. This study highlights how value can be created for customers by applying suitable strategies.

scholarly journals Model Integrasi Penjadwalan Batch dan Penjadwalan Preventive Maintenance dengan Kriteria Minimisasi Biaya Simpan, Biaya Setup, Biaya Pm, serta Biaya Rework pada Mesin Stabil

2014 ◽  
Vol 5 (1) ◽  
pp. 397
Author(s):  
Zahedi Zahedi
Keyword(s):  
Preventive Maintenance ◽  
Batch Scheduling ◽  
Problem Instance ◽  
Production Schedule ◽  
Batch Production ◽  
Setup Costs ◽  
The Cost ◽  
Single Batch

This study developed a model of batch scheduling involving the unavailability machine to minimize setup costs, cost of preventive maintenance and the cost of rework in a stable machine. This model is considered necessary in order to understand the effect of the unavailability machine for production runs and to understand the effect on the batch production schedule. The results of this study indicate that the first and last run will not give single batch. Given a hypothetical example of how the model and algorithm developed solve the problem instance. 

Sign in / Sign up

Export Citation Format

Share Document