This paper conducts a simulation study of the effects of violating the ANOVA normality assumption in the presence of Weibull data. Twelve specific Weibull distributions, characterizing the life data of a variety of real-world products and systems, are investigated. Confidence intervals on test significance and power are generated and compared against intervals from normally distributed data. The ANOVA procedure is found to be robust in the majority of cases. Furthermore, a designed experiment is conducted to isolate the effects of the Weibull shape and scale parameters within the preceding study. The shape parameter is found to have a significant effect on significance and power, whereas the scale parameter does not have a significant effect at the target α = 0.05 test significance level.
7321. 
The impact of the Weibull distribution on the performance of the single-factor ANOVA model Pages 185-198
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Authors: Gray Black, Derek Ard, James Smith, Schibik Schibik
DOI: 10.5267/j.ijiec.2010.02.007
Keywords: ANOVA robustness, Weibull, ANOVA normality assumption, Shape parameter, Scale parameter, Normality violation
Abstract:
Journal: IJIEC | Year: 2010 | Volume: 1 | Issue: 2 | Views: 2954 | Reviews: 0
7322.
A methodology to identify and prioritize organizational factors affecting implementation of value engineering Pages 187-194
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Authors: Fereshteh Amin, Ali Ramezani, Hamed Babaei
DOI: 10.5267/j.msl.2010.03.001
Keywords: ELECTRE III, Multiple criteria, Organizational factors, Strategic planning, Value engineering
Abstract:
The new millennium must be called the century to compete for survival. The increase
interaction among international organizations has changed the world into a global village and
firms have no choice but to develop a variety of instruments and equipments to compete with
each other. Value engineering (VE) is one of the new techniques of management science
emerged in using the power of organizational creativity and entrepreneurship programs. VE
modifies the organizational activities, removes the non value-added activities and increases the
current values of organizations. VE has been successfully implemented in many areas of
management such as quality, productivity, project management, etc. The success of a VE
program depends on many organizational factors such as the availability of resources, the
strategy and the organization structure, the senior management support, the organizational
culture and the communication and information systems. In this study, we identify and
prioritize organization factors affecting the implementation of VE using ELECTRE III method.
interaction among international organizations has changed the world into a global village and
firms have no choice but to develop a variety of instruments and equipments to compete with
each other. Value engineering (VE) is one of the new techniques of management science
emerged in using the power of organizational creativity and entrepreneurship programs. VE
modifies the organizational activities, removes the non value-added activities and increases the
current values of organizations. VE has been successfully implemented in many areas of
management such as quality, productivity, project management, etc. The success of a VE
program depends on many organizational factors such as the availability of resources, the
strategy and the organization structure, the senior management support, the organizational
culture and the communication and information systems. In this study, we identify and
prioritize organization factors affecting the implementation of VE using ELECTRE III method.
Journal: MSL | Year: 2011 | Volume: 1 | Issue: 2 | Views: 1726 | Reviews: 0
7323.
An empirical study to measure the relative efficiencies of training organizations using data envelopment analysis Pages 195-202
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Authors: Ahmad Ahmadkhani, Masoud Babakhani
DOI: 10.5267/j.msl.2010.02.004
Keywords: Data Envelopment Analysis, DEA, Driving test, Efficiency, Performance measurement
Abstract:
This paper presents an empirical study on measuring relative efficiencies of test drive
educational organizations using data envelopment analysis. The study uses a Delphi method to
determine the most important input/output factors and then gathers the actual data for all units
located in an Iranian province called Zanjan. The results of the implementation of the DEA
method are compared for different periods of the recent year and they are analyzed. We perform
the DEA implementation for two separate regions, one for the units located inside the city and
the other for the units located in the rural area. The output results of both methods are compared
and the results are discussed in details.
educational organizations using data envelopment analysis. The study uses a Delphi method to
determine the most important input/output factors and then gathers the actual data for all units
located in an Iranian province called Zanjan. The results of the implementation of the DEA
method are compared for different periods of the recent year and they are analyzed. We perform
the DEA implementation for two separate regions, one for the units located inside the city and
the other for the units located in the rural area. The output results of both methods are compared
and the results are discussed in details.
Journal: MSL | Year: 2011 | Volume: 1 | Issue: 2 | Views: 1592 | Reviews: 0
7324.
Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies Pages 199-212
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Authors: Ali Najmi, Ahmad Makui
DOI: 10.5267/j.ijiec.2010.02.008
Keywords: DEMATEL, Analytical Hierarchy Process, Supply Chain Performance, Integration, Metrics interdependence
Abstract:
Measuring the performance of a supply chain is normally of a function of various parameters. Such a problem often involves in a multiple criteria decision making (MCMD) problem where different criteria need to be defined and calculated, properly. During the past two decades, Analytical hierarchy procedure (AHP) and DEMATEL have been some of the most popular MCDM approaches for prioritizing various attributes. The study of this paper uses a new methodology which is a combination of AHP and DEMATEL to rank various parameters affecting the performance of the supply chain. The DEMATEL is used for understanding the relationship between comparison metrics and AHP is used for the integration to provide a value for the overall performance
Journal: IJIEC | Year: 2010 | Volume: 1 | Issue: 2 | Views: 4044 | Reviews: 0
7325.
A GRASP model in network design for two-stage supply chain Pages 203-212
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Authors: Hassan Javanshir, Mahdis Haghighi Ghashti
DOI: 10.5267/j.msl.2010.02.003
Keywords: GRASP, Inventory lost, Lead time, Network design, Safety stock
Abstract:
We consider a capacitated facility location problem (CFLP) which contains a production facility and distribution centers (DCs) supplying retailers' demand. The primary purpose is to locate distribution centres in the network and the objective is the minimization of the sum of fixed facility location, pipeline inventory, safety stock and lost sales. We use Greedy randomized adaptive search procedures (GRASP) to solve the model. The preliminary results indicate that the proposed method of this paper could provide competitive results in reasonable amount time.
Journal: MSL | Year: 2011 | Volume: 1 | Issue: 2 | Views: 2096 | Reviews: 0
7326.
A robust LINMAP for EFQM self assessment Pages 213-222
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Authors: Sepideh Rasouli, Mohsen Gharakhani, Masoud Babakhani
Keywords: EFQM, Linear Programming, LINMAP, Preference Analysis, Robust Decision Making, Robust Optimization
Abstract:
During the past two decades, there have been tremendous efforts on developing efficient
business excellence models to improve the quality of organizations. A typical business
excellence model proposes several alternatives with different budget and the primary objective
is to use the best ones. In this paper, we present a robust LINMAP method for measuring the
relative importance of various alternatives in an EFQM self assessment. The presented robust
model is capable of handling uncertainty as part of the problem formulation. The proposed
model of this paper is implemented for a case-study of energy sector in Iran with various
alternatives. The orderings of the alternatives are measured using data from multiple experts
through applying the proposed model of this paper.
business excellence models to improve the quality of organizations. A typical business
excellence model proposes several alternatives with different budget and the primary objective
is to use the best ones. In this paper, we present a robust LINMAP method for measuring the
relative importance of various alternatives in an EFQM self assessment. The presented robust
model is capable of handling uncertainty as part of the problem formulation. The proposed
model of this paper is implemented for a case-study of energy sector in Iran with various
alternatives. The orderings of the alternatives are measured using data from multiple experts
through applying the proposed model of this paper.
Journal: MSL | Year: 2011 | Volume: 1 | Issue: 2 | Views: 1651 | Reviews: 0
7327.
An empirical study to determine the critical success factors on customer retention: A case study of Iranian banking sector Pages 223-234
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Authors: Sadollah Ebrahim Nezhad, Neda Jomehri, Hassan Javanshir
DOI: 10.5267/j.msl.2010.02.002
Keywords: Banking industry, Customer loyalty, Customer retention, Customer satisfaction, Customer value
Abstract:
One of the most important strategic issues for any enterprise is to create
and deliver superior value for its customers and provide enough
evidences to convince them not to choose another competitive. In this
study, we study the effects of customer value, customer satisfaction and
customer loyalty on customer retention. The results indicate that all
aspects of the customer value have positive relationships with customer
satisfaction but only emotional value has a positive and direct
relationship with customer loyalty. The study confirms that while none
of customer value aspects has direct and positive relationship with
customer retention, both customer satisfaction and customer loyalty
positively and directly affect customer retention.
and deliver superior value for its customers and provide enough
evidences to convince them not to choose another competitive. In this
study, we study the effects of customer value, customer satisfaction and
customer loyalty on customer retention. The results indicate that all
aspects of the customer value have positive relationships with customer
satisfaction but only emotional value has a positive and direct
relationship with customer loyalty. The study confirms that while none
of customer value aspects has direct and positive relationship with
customer retention, both customer satisfaction and customer loyalty
positively and directly affect customer retention.
Journal: MSL | Year: 2011 | Volume: 1 | Issue: 2 | Views: 2210 | Reviews: 0
7328.
A survey on the effect of global warming in Canada Pages 1-4
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Authors: Maryam Orouji, Mahdi Karimi
Keywords: Global warming, Climate change, Canada, flood, Renewable energies
Abstract:
During the past four decades, there have been tremendous changes on earth due to climate change. Humankind has increasingly used fossil fuels such as coal, oil, etc. and increased the green gas effect on this planet. Nowadays, most scientists believe there must be some actions to prevent global warming to rescue the next generation from the irreversible consequences of climate change. This paper studies the recent studies on the effects of global warming in Canada. The study reviews the recent efforts on the effects of global warming on forests, lakes, etc.
Journal: JFS | Year: 2021 | Volume: 1 | Issue: 1 | Views: 692 | Reviews: 0
7329.
Social media in Canada Pages 1-4
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Authors: Maryam Orouji, Mahdi Karimi
DOI: 10.5267/j.ijdns.2017.1.001
Keywords: Social network, Social media, Canada
Abstract:
During the past few years, there have been tremendous changes on social media through different applications in Canada. Many people choose their products and services solely based on the tips they receive from various social media such as Facebook, Twitter, etc. Social media are ex-periencing an increase popularity, both among the ordinary people who simply use the facilitated interaction, and businessman who observe it as a serious marketing facility. In this paper, we study the trend and usage of social media for different purposes in Canadian society. The survey indicates that Facebook has been the most popular followed by Twitter and LinkedIn. The study also indicates that social media are used for many purposes such as reaching update news, recommending products or services, recruiting employees, etc.
Journal: IJDS | Year: 2017 | Volume: 1 | Issue: 1 | Views: 1895 | Reviews: 0
7330.
Measuring the relative efficiency of project management using data envelopment analysis Pages 1-6
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Authors: Sara Orouji
Keywords: DEA, Project management, Efficiency
Abstract:
Measuring the relative efficiency of similar units has been an open research for years. Data en-velopment analysis (DEA) has been widely used among researchers for efficiency measurement. DEA uses different inputs/outputs to measure the relative efficiency of one unit compared with other similar units. This paper presents a comprehensive review on recent applications of DEA techniques on measuring the relative efficiency of project management units. The study covers the implementation of DEA method for measuring the relative efficiency of enterprise resources planning, research and development and construction projects.
Journal: JPM | Year: 2016 | Volume: 1 | Issue: 1 | Views: 1913 | Reviews: 0