Integrated Training Solutions: An Effective Tool to Synchronize People and Maintenance (U.S. Navy LCAC Case Study)

2012 ◽  
Author(s):  
Maurice Hartey ◽  
Thomas Bodman ◽  
Arlene Korn
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Training Programs ◽  
Operating Time ◽  
Life Cycle Management ◽  
Cost Driver ◽  
Maintenance Costs ◽  
Knowledge And Skills ◽  
Long Run

Maintenance, especially in a Marine environment, is continuous and costly. Life Cycle Management of a Marine Gas Turbine system encompasses many costs, of which repair parts, labor and equipment downtime associated with failures and maintenance are a significant portion. In fact, people (labor) make up the largest component of overall maintenance costs. Investing in people the largest cost driver to life cycle cost has a direct return in the long run, in terms of maintenance effectiveness and efficiencies. Applying and reinforcing knowledge and skills in a maintenance environment translates to improved reliability outcomes, longer operating time, fewer parts needs, and ultimately costs savings. However, given today’s constrained fiscal environment, the value of spending money for training rather than buying more parts or applying more maintenance, may not appear obvious. Such thinking is short sighted, and ultimately leads to reduced reliability and increased maintenance in the long run. This paper will explore these areas, and recommend how training programs can be effective predictive, proactive and responsive.

scholarly journals Life Cycle Costing: Understanding How It Is Practised and Its Relationship to Life Cycle Management—A Case Study

2020 ◽  
Vol 12 (8) ◽  
pp. 3252 ◽  
Author(s):  
Marianna Lena Kambanou
Keyword(s):  
Life Cycle ◽  
Life Cycle Management ◽  
Life Cycle Costing ◽  
Methodological Choices ◽  
Manufacturing Company

Despite the existence of many life cycle costing (LCC) methods, LCC is not widely adopted and LCC methods are usually further tailored by practitioners. Moreover, little is known about how practising LCC improves life cycle management (LCM) especially if LCM is considered emergent and constantly developing. In a manufacturing company, LCC is prescriptively introduced to improve LCM. In the first part, this study describes how various methodological choices and other aspects of practising LCC were the outcome of contestation and conformity with extant practices and not only the best way to fulfil the LCC’s objective. This contestation can even influence if LCC is adopted. In the second part of the research, the implications of practising LCC on LCM are explored. LCC is found to positively propel LCM in many ways e.g., by spreading the life cycle idea, but may lead to a narrower understanding of the term life cycle resulting in the sustainability focus of LCM being overridden. The article also discusses how the findings can be taken into consideration when researchers develop LCC methods and when industry practises LCC.

scholarly journals Modelling Sustainable Industrial Symbiosis

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1172
Author(s):  
Hafiz Haq ◽  
Petri Välisuo ◽  
Seppo Niemi
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Environmental Performance ◽  
Life Cycle Cost ◽  
Economic Assessment ◽  
Environmental Benefits ◽  
Industrial Symbiosis ◽  
Comprehensive Model ◽  
Network Connections

Industrial symbiosis networks conventionally provide economic and environmental benefits to participating industries. However, most studies have failed to quantify waste management solutions and identify network connections in addition to methodological variation of assessments. This study provides a comprehensive model to conduct sustainable study of industrial symbiosis, which includes identification of network connections, life cycle assessment of materials, economic assessment, and environmental performance using standard guidelines from the literature. Additionally, a case study of industrial symbiosis network from Sodankylä region of Finland is implemented. Results projected an estimated life cycle cost of €115.20 million. The symbiotic environment would save €6.42 million in waste management cost to the business participants in addition to the projected environmental impact of 0.95 million tonne of CO2, 339.80 tonne of CH4, and 18.20 tonne of N2O. The potential of further cost saving with presented optimal assessment in the current architecture is forecast at €0.63 million every year.

Life cycle cost analysis: A case study of hydrogen energy application on the Orkney Islands

2019 ◽  
Vol 44 (19) ◽  
pp. 9517-9528 ◽  
Author(s):  
Guangling Zhao ◽  
Eva Ravn Nielsen ◽  
Enrique Troncoso ◽  
Kris Hyde ◽  
Jesús Simón Romeo ◽  
...  
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Hydrogen Energy ◽  
Life Cycle Cost Analysis ◽  
Orkney Islands ◽  
Energy Application

scholarly journals Supply Chain and Life Cycle Cost of Roofing in Sabah: A Case Study

2011 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Lillian Gungat ◽  
Kurian V. John ◽  
Rohayah Ladom
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Life Cycle Cost

Artificial intelligence exploitation in facility management using deep learning

2020 ◽  
Vol 20 (4) ◽  
pp. 609-624
Author(s):  
Mohamed Marzouk ◽  
Mohamed Zaher
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Life Cycle Cost ◽  
Facility Management ◽  
Support Vector ◽  
Maintenance Costs ◽  
Content Type ◽  
Protection Systems ◽  
Future Work

Purpose This paper aims to apply a methodology that is capable to classify and localize mechanical, electrical and plumbing (MEP) elements to assist facility managers. Furthermore, it assists in decreasing the technical complexity and sophistication of different systems to the facility management (FM) team. Design/methodology/approach This research exploits artificial intelligence (AI) in FM operations through proposing a new system that uses a deep learning pre-trained model for transfer learning. The model can identify new MEP elements through image classification with a deep convolutional neural network using a support vector machine (SVM) technique under supervised learning. Also, an expert system is developed and integrated with an Android application to the proposed system to identify the required maintenance for the identified elements. FM team can reach the identified assets with bluetooth tracker devices to perform the required maintenance. Findings The proposed system aids facility managers in their tasks and decreases the maintenance costs of facilities by maintaining, upgrading, operating assets cost-effectively using the proposed system. Research limitations/implications The paper considers three fire protection systems for proactive maintenance, where other structural or architectural systems can also significantly affect the level of service and cost expensive repairs and maintenance. Also, the proposed system relies on different platforms that required to be consolidated for facility technicians and managers end-users. Therefore, the authors will consider these limitations and expand the study as a case study in future work. Originality/value This paper assists in a proactive manner to decrease the lack of knowledge of the required maintenance to MEP elements that leads to a lower life cycle cost. These MEP elements have a big share in the operation and maintenance costs of building facilities.

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