scholarly journals Turbomachinery Maintenance Planning

1983 ◽  
Author(s):  
A. L. Chandler ◽  
T. Chapman
Keyword(s):  
Planning Process ◽  
Maintenance Planning ◽  
Factors Affecting ◽  
Maintenance Program ◽  
Maintenance Techniques

This paper presents important information for developing a comprehensive maintenance program for turbomachinery. It describes the primary factors affecting the planning process, and focuses on the responsibilities and interface between the manufacturer and user. It also provides an overview of the latest maintenance techniques vital to a successful turbomachinery maintenance program.

scholarly journals Public Perceptions and Practices of Recycling in the City of Laramie in Wyoming

2017 ◽  
Author(s):  
Upendra B. Bom ◽  
Shashidhar Belbase ◽  
Reni Bibriven Lila
Keyword(s):  
Public Participation ◽  
Planning Process ◽  
Environmental Concern ◽  
Quantitative Result ◽  
Community Outreach ◽  
Factors Affecting ◽  
Diversion Rate ◽  
High Level ◽  
Survey Responses ◽  
The City

Managing household solid waste is an urban problem in recent years. To tackle this problem, recycling is one of the most effective methods applicable in waste management. Recycling in the city of Laramie in Wyoming has a history that dates to 1983 with the establishment of Ark Recycling center. Laramie officially started its curbside recycling services in September 2011 and In April 2012, the city declared its long-term goal to achieve 40% diversion rate by 2030. The study involved a mail-back survey to understand public participation landscape and factors affecting recycling behaviors and attitudes of residents in Laramie. Quantitative result of the survey responses, civic engagement score, recycling importance score recycling satisfaction and recycling behavior scores were created to understand these attributes. In addition, three key informant interviews were conducted to explore efforts of the city, the University of Wyoming and the Ark Regional Services. Findings of the study show that more than 80% of the survey respondents indicated environmental concern was the major motivation to join recycling with high level of recycling importance and satisfaction. The Study further uncovered hints that Laramie needs to introduce an aggressive educational policy, incentive policies and a Master Plan to meet its 40% waste diversion rate by 2030 by maintaining stronger public participation in its planning process and community outreach programs.

Factors affecting strategic plan implementation using interpretive structural modeling (ISM)

2018 ◽  
Vol 31 (5) ◽  
pp. 406-414 ◽  
Author(s):  
Mohammadkarim Bahadori ◽  
Ehsan Teymourzadeh ◽  
Hamidreza Tajik ◽  
Ramin Ravangard ◽  
Mehdi Raadabadi ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Planning Process ◽  
Strategic Plan ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Plan Implementation ◽  
Content Type ◽  
Factors Affecting ◽  
Strategic Planning Process ◽  
The Relationship

PurposeStrategic planning is the best tool for managers seeking an informed presence and participation in the market without surrendering to changes. Strategic planning enables managers to achieve their organizational goals and objectives. Hospital goals, such as improving service quality and increasing patient satisfaction cannot be achieved if agreed strategies are not implemented. The purpose of this paper is to investigate the factors affecting strategic plan implementation in one teaching hospital using interpretive structural modeling (ISM).Design/methodology/approachThe authors used a descriptive study involving experts and senior managers; 16 were selected as the study sample using a purposive sampling method. Data were collected using a questionnaire designed and prepared based on previous studies. Data were analyzed using ISM.FindingsFive main factors affected strategic plan implementation. Although all five variables and factors are top level, “senior manager awareness and participation in the strategic planning process” and “creating and maintaining team participation in the strategic planning process” had maximum drive power. “Organizational structure effects on the strategic planning process” and “Organizational culture effects on the strategic planning process” had maximum dependence power.Practical implicationsIdentifying factors affecting strategic plan implementation is a basis for healthcare quality improvement by analyzing the relationship among factors and overcoming the barriers.Originality/valueThe authors used ISM to analyze the relationship between factors affecting strategic plan implementation.

scholarly journals Maintenance of Industrial Gas Turbines

1975 ◽  
Author(s):  
R. H. Knorr ◽  
G. Jarvis
Keyword(s):  
Gas Turbine ◽  
Gas Turbines ◽  
Heavy Duty ◽  
Factors Affecting ◽  
Maintenance Program ◽  
Industrial Gas Turbines ◽  
Heavy Duty Gas Turbine ◽  
Maintenance Requirements

This paper describes the maintenance requirements of the heavy-duty gas turbine. The various inspections and factors affecting maintenance are defined, and basic guidelines are presented for a planned maintenance program.

scholarly journals Key Factors Affecting Time Planning on the Long Segment Road Project Implementation

2019 ◽  
Vol 9 (1) ◽  
pp. 4203-4207
Keyword(s):  
Planning Process ◽  
Survey Methods ◽  
Key Factors ◽  
Factors Affecting ◽  
The Road ◽  
Time Performance ◽  
Project Construction ◽  
Road Project ◽  
Road Work ◽  
Time Planning

One of the delay cause in the project construction implementation is the time planning that is not done properly by the contractor. Also included project delays which occur in segment of the road projects implementation in the range of 50 km to 100 km and can have more than one segment. In this research, a statistical analysis will be carried out to obtain all factors that affecting the time planning process in the implementation of the long segment road and how it affects the project time performance. The strategy for Research data collection is by using survey methods to distributing questionnaires to respondents who have competence in the implementation of long segment road work. While the processing and analysis of data using SPSS software. Based on the results of statistical data analysis shows key factors that affecting time planning for the implementation of the long segment are conformity of the existing conditions with the results of time planning, the length of the road handling section, ineffective work methods, software used, and the time needed in the planning process. Dominant factors that influence time planning have a significant effect of 76.70% on project time performance, while 23.30% is influenced by other factors.

scholarly journals Algorithm Model of K-means for Poor Households Classifying

2019 ◽  
Vol 4 (2) ◽  
pp. 89
Author(s):  
Panggih Pawenang ◽  
Nova El Maidah
Keyword(s):  
Planning Process ◽  
Regional Scale ◽  
Development Program ◽  
Complex Problem ◽  
Poverty Rate ◽  
Factors Affecting ◽  
News Reports ◽  
Central Java ◽  
Poor Households ◽  
Study Case

Poverty is a complex problem experienced by majority of world’s nations especially in the developing countries such as Indonesia.  Poverty countermeasure has become the main country development program as one of the indicators of development success is the decrease of poverty rate. Various programs either in national or regional scale have been made as the government’s attempt to reduce the poverty rate. However, there have been a lot of news reports covering the government’s programs which are less precise and even not on the target. Thus, it is essential to have a method which can be implemented to help the planning process of those poverty alleviation programs. This study aims at explaining the formation of K-means algorithm model for classifying poor households; taking a study case in Banyumas Regency, Central Java. The result of this study was K-means algorithm model which has been adapted to the poverty concept from the Statistics Indonesia (BPS) as well as the factors affecting the household poverty. The information obtained from each cluster formed is household characteristics, estimation of household number, and estimation of population experiencing poverty.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2010 ◽  
pp. 707-720
Author(s):  
N.K. Kwat ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2011 ◽  
pp. 1438-1451
Author(s):  
N. K. Kwak ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

An Application of Multi-Criteria Decision-Making Model for Strategic Outsourcing for Effective Supply-Chain Linkages

2008 ◽  
pp. 1205-1218
Author(s):  
N. K. Kwak ◽  
Chang Won Lee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Performance ◽  
Planning Process ◽  
Multi Criteria Decision Making ◽  
Supply Chain System ◽  
Factors Affecting ◽  
Planning Strategy ◽  
Outsourcing Strategies ◽  
Decision Making Model

An appropriate outsourcing and supply-chain planning strategy needs to be based on compromise and more objective decision-making procedures. Although factors affecting business performance in manufacturing firms have been explored in the past, focuses are on financial performance and measurement, neglecting intangible and nonfinancial factors in the decision-making planning process. This study presents development of an integrated multi-criteria decision-making (MCDM) model. This model aids in allocating outsourcing and supply-chain resources pertinent to strategic planning by providing a satisfying solution. The model was developed based on the data obtained from a business firm producing intelligent home system devices. This developed model will reinforce a firm’s ongoing outsourcing strategies to meet defined requirements while positioning the supply-chain system to respond to a new growth and innovation.

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