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1 – 9 of 9Osman Taylan and Ibrahim A. Darrab
The purpose of this paper is to demonstrate the use of artificial intelligence methods in quality control and improvement. The paper introduces a systematic approach for the…
Abstract
Purpose
The purpose of this paper is to demonstrate the use of artificial intelligence methods in quality control and improvement. The paper introduces a systematic approach for the design of fuzzy control charts of tip shear carpets.
Design/methodology/approach
There are certain steps for designing fuzzy control charts. All input, state and output variables of the carpet plant and partition of the universe of discourse were first determined. The interval spanned by each variable and the number of fuzzy subsets each assigned with a linguistic label were identified. Then, the adaptive capability of neural network was used to determine the membership functions for each fuzzy subset. The fuzzy relationship functions between the inputs and outputs were assigned to form the fuzzy rule base (controller) in order to normalize the variables and certain intervals. Fuzzification of input parameters and max‐min composition of rules for inferring crisp outputs was the next step. The aggregation of fuzzified outputs and defuzzification of the outputs were the last step of this study, which helped to produce crisp outputs for latex weight.
Findings
Fuzzy linguistic terms were employed for overall quality assessment and rating of the end product. The outcomes of neuro‐fuzzy system were good supplements to other statistical process control tools.
Research limitations/implications
Lack of qualified domain experts, knowledge acquisition of process parameters and time limitation for training of neuro‐fuzzy model were primary limitations.
Practical implications
The approach is more flexible and meaningful to identify the quality distribution of a product. The qualitative aspect of human reasoning for decision making was employed in this approach.
Originality/value
The paper is original and the first such work for local industry.
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Keywords
IT projects carry high risk of failure due to the existence of great obstacles during the planning, application and development phase. The projects' risks are multi-dimensional…
Abstract
Purpose
IT projects carry high risk of failure due to the existence of great obstacles during the planning, application and development phase. The projects' risks are multi-dimensional, and they must be assessed by multi-attribute decision-making methods. The purpose of this article is to provide analytic tools to evaluate the learning organization's IT project risks under incomplete and vague information. It was also aimed to place the risk in a proper category and predict the level of it in advance to develop strategies to counteract the high-risk factors.
Design/methodology/approach
In this study, three mutual approaches were used to analyze the organizations IT applications. These are enterprise analysis for determination of information requirements of organization, payback method for IT project financial analysis and risk assessment using fuzzy sets and systems. The developed fuzzy model is an expert system which can predict the category of risk for IT projects in learning organizations.
Findings
This study revealed that the greatest obstacles to IT project success were the lack of organizational learning, resistance to change, etc. User involvement limitation was found to be also one of the common reasons of IT project failure. The information sharing policy was determined to increase productivity of employees in offices and to decide the creators and the users of knowledge. Learning is a continuous process for organizational transformation. Individual and organizational learning were searched to minimize the level of risks factors and learning culture. IT project risks were categorized properly using fuzzy sets and systems to reduce or even eliminate high risks.
Originality/value
The paper is original and gives the first such work for industry.
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Keywords
Nuri Gökhan Torlak, Ahmet Demir and Taylan Budur
This paper aims to investigate the relationships between participative decision-making, ethical leadership and leadership performance, which might make school leaders quit…
Abstract
Purpose
This paper aims to investigate the relationships between participative decision-making, ethical leadership and leadership performance, which might make school leaders quit autocratic behavior and enhance their performance at private K12 schools in Iraq.
Design/methodology/approach
The researchers collected data through a questionnaire using a stratified sampling methodology from 207 educators of 10 institutions. The research methodology included demographic analysis, factor analysis, structural equation modeling and mediation analysis.
Findings
The participative decision-making affected moral, knowledge and attitude that contributed to leadership performance. Besides, the only attitude mediated the relationship between participative decision-making and leadership performance.
Research limitations/implications
The study is limited to private K12 schools in Iraq. Therefore, the findings cannot be generalized. It might guide educational institutes to change their management style.
Originality/value
The study delivers a unique insight into education in Iraq.
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Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and…
Abstract
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.
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Abdul Wahab Hashmi, Harlal Singh Mali and Anoj Meena
The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the…
Abstract
Purpose
The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the products manufactured using AM usually suffer from defects like roughness or uneven surfaces. This paper discusses the various surface quality improvement techniques, including how to reduce surface defects, surface roughness and dimensional accuracy of AM parts.
Design/methodology/approach
There are many different types of popular AM methods. Unfortunately, these AM methods are susceptible to different kinds of surface defects in the product. As a result, pre- and postprocessing efforts and control of various AM process parameters are needed to improve the surface quality and reduce surface roughness.
Findings
In this paper, the various surface quality improvement methods are categorized based on the type of materials, working principles of AM and types of finishing processes. They have been divided into chemical, thermal, mechanical and hybrid-based categories.
Research limitations/implications
The review has evaluated the possibility of various surface finishing methods for enhancing the surface quality of AM parts. It has also discussed the research perspective of these methods for surface finishing of AM parts at micro- to nanolevel surface roughness and better dimensional accuracy.
Originality/value
This paper represents a comprehensive review of surface quality improvement methods for both metals and polymer-based AM parts.
Graphical abstract of surface quality improvement methods
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Muhammad T. Hatamleh, Gary P. Moynihan, Robert G. Batson, Ammar Alzarrad and Olugbenro Ogunrinde
Risk impedes the success of construction projects in developing countries due to planning in an unpredictable and poorly resourced environment. Hence, the literature suggests that…
Abstract
Purpose
Risk impedes the success of construction projects in developing countries due to planning in an unpredictable and poorly resourced environment. Hence, the literature suggests that practitioners are not fully aware of how important the risk identification process is. Some of the prior studies identified risks in developing countries without highlighting how they can be beneficial to the practitioners in the industry. Therefore, this study highlights this process and identifies the key risks that affect the Jordanian construction industry.
Design/methodology/approach
This study adopted an exploratory sequential mixed approach, two rounds of face-to-face interviews that were conducted in Jordan among 12 experts followed by a questionnaire randomly distributed to 122 practitioners. This study utilized the relative importance index, coefficient of variation, and Mann–Whitney (U) to analyze the data. Also, the factor analysis technique was used to identify and regroup the risk factors to further understand the correlation among the risks.
Findings
The result revealed an agreement among contractors’ and consultants’ responses toward allocating risks. Furthermore, several risks can be traced back to the project communication management process, highlighting a deficiency in the process. Also, four-factor groups were established, the first group includes the risk of defective design, late decisions making by other project participants and poor coordination with the subcontractor. The second group has only the risk of corruption, including bribery at sites. The third group includes stakeholders’ financial instability and inadequate distribution of responsibilities and risks. The fourth group includes adverse weather conditions and the use of illegal foreign labor.
Originality/value
Some of the prior studies identified risks in developing countries without highlighting how they can be beneficial to the practitioners in the industry.
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Ibraheem A. Samotu, Fatai O. Anafi, Muhammad Dauda, Abdulkarim S. Ahmed, Raymond B. Bako and David O. Obada
The general-purpose engine lathe is the most basic turning machine tool. As with all lathes, the two basic requirements for turning are a means of holding the workpiece while it…
Abstract
The general-purpose engine lathe is the most basic turning machine tool. As with all lathes, the two basic requirements for turning are a means of holding the workpiece while it rotates as well as a means of holding cutting tools and moving them relatively to the workpiece. In this paper, we present the results of finite element analysis (FEA) performed to investigate nature of stress and their distribution at optimum point along the two turning tables of a micro-controller based versatile machine tool desktop learning module. Commercial Autodesk Inventor was used to create both three-dimensional (3D) and 2D models as well as performing simulation. Dynamics simulation generated the motion load expected to act on the tables when used for real-life operation which were in turn used to perform the FEA. The motion of the DC stepper motor driving the tables and other parts of the module is designed to be controlled by programmable chips. Before creating FEA simulation for the tables, numerical divergence were prevented by varying the mesh settings to obtain the settings at which the results of the analyses converges which was obtained at 0.03 average element size and 0.04 minimum element size. Finite element analysis carried out on the tables shows that aluminium alloy 4032-T6 chosen will serve in the fabrication of physical prototype. FEA revealed the nature and level of stresses that will be experienced on the tables, it also revealed region where these stresses will concentrate on them. The analysis also estimated the expected weight of the turning tables 1&2 to be 1.23536 and 0.257182 kg respectively and show that the minimum factor of safety was constantly 15 ul within the tables which means that they will not fail during operation.
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