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Article
Publication date: 25 March 2021

Per Hilletofth, Movin Sequeira and Wendy Tate

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Abstract

Purpose

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Design/methodology/approach

Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

Findings

The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

Research limitations/implications

The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

Practical implications

The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

Originality/value

There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Details

Industrial Management & Data Systems, vol. 121 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 21 August 2020

Najla Krichen, Mohamed Slim Masmoudi and Nabil Derbel

This paper aims to propose a one-layer Mamdani hierarchical fuzzy system (HFS) to navigate autonomously an omnidirectional mobile robot to a target with a desired angle in…

Abstract

Purpose

This paper aims to propose a one-layer Mamdani hierarchical fuzzy system (HFS) to navigate autonomously an omnidirectional mobile robot to a target with a desired angle in unstructured environment. To avoid collision with unknown obstacles, Mamdani limpid hierarchical fuzzy systems (LHFS) are developed based on infrared sensors information and providing the appropriate linear speed controls.

Design/methodology/approach

The one-layer Mamdani HFS scheme consists of three fuzzy logic units corresponding to each degree of freedom of the holonomic mobile robot. This structure makes it possible to navigate with an optimized number of rules. Mamdani LHFS for obstacle avoidance consists of a number of fuzzy logic units of low dimension connected in a hierarchical structure. Hence, Mamdani LHFS has the advantage of optimizing the number of fuzzy rules compared to a standard fuzzy controller. Based on sensors information inputs of the Mamdani LHFS, appropriate linear speed controls are generated to avoid collision with static obstacles.

Findings

Simulation results are performed with MATLAB software in interaction with the environment test tool “Robotino Sim.” Experiments have been done on an omnidirectional mobile robot “Robotino.” Simulation results show that the proposed approaches lead to satisfied performances in navigation between static obstacles to reach the target with a desired angle and have the advantage that the total number of fuzzy rules is greatly reduced. Experimental results prove the efficiency and the validity of the proposed approaches for the navigation problem and obstacle avoidance collisions.

Originality/value

By comparing simulation results of the proposed Mamdani HFS to another navigational controller, it was found that it provides better results in terms of path length in the same environment. Moreover, it has the advantage that the number of fuzzy rules is greatly reduced compared to a standard Mamdani fuzzy controller. The use of Mamdani LHFS in obstacle avoidance greatly reduces the number of involved fuzzy rules and overcomes the complexity of high dimensionality of the infrared sensors data information.

Details

Engineering Computations, vol. 38 no. 2
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 4 December 2017

Inayet Hakki Cizmeci and Fatih Basçiftçi

Specialist physicians, specialist nurses and personnel in the intensive care unit (ICU) work to treat patients. Compared with other hospital units, ICUs are full-fledged…

Abstract

Purpose

Specialist physicians, specialist nurses and personnel in the intensive care unit (ICU) work to treat patients. Compared with other hospital units, ICUs are full-fledged and provide 24-h services. However, patients are admitted to this unit because of conditions such as severe trauma, organ failure or dysfunction and poisoning. The life expectancy of such patients is considerably low.

Design/methodology/approach

This study developed a reduced rule-based expert system to determine life expectancy. The purpose of this study is to determine the life expectancy of patients using ten variables. The rules were determined by evaluating 210 = 1,024 results. These rules were minimized using Boolean rules for simplification.

Findings

Conclusions were drawn by evaluating the minimized cases rather than evaluating 1,024 different cases. ICU patients were evaluated using this method, and the mean success rate was 63.75 per cent.

Originality/value

No rule-based expert system has been designed to determine the death risks of patients in the ICU.

Details

World Journal of Engineering, vol. 14 no. 6
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 24 May 2013

Yuriy Panteliyovych Kondratenko, Leonid Pavlovych Klymenko and Eyad Yasin Mustafa Al Zu'bi

The purpose of this paper is to propose a general method to simplify the structure of fuzzy controllers' rule base using integrated methodology for reducing the number of…

Abstract

Purpose

The purpose of this paper is to propose a general method to simplify the structure of fuzzy controllers' rule base using integrated methodology for reducing the number of fuzzy rules based on modelling and simulation.

Design/methodology/approach

The paper considers the problem of developing effective methods and algorithms for optimization of fuzzy rules bases of Sugeno‐type fuzzy controllers that can be applied to control of dynamic objects, including objects with non‐stationary parameters. The proposed approach based on calculating the impact of each of the rule on the formation of control signals for different types of input signals provides optimization of a linguistic rules database by using exclusion mechanism for rules with negligible influence. The effectiveness of the proposed approach is investigated using a fuzzy PID controller for control of a non‐stationary object of second order.

Findings

In this paper, the authors argued that different aggregation models can be used for structural optimization of fuzzy controllers and not all the rules are actually required in the fuzzy controllers' rule base. Eliminating some of the rules does not necessarily lead to a significant change in the fuzzy controller's output. The proposed integrated approach based on combination of different kinds of reference input signals for fuzzy controllers modelling and simulation is able to provide guidelines to the users which rules are required and which can be eliminated. The results obtained from the case studies demonstrate that the proposed integrated approach is able to reduce the number of rules required and, at the same time, to have the desired values of quality control indices.

Research limitations/implications

In order to demonstrate the feasibility of the proposed approach, only control object of second order with PID fuzzy controller of Sugeno‐type is chosen. Future studies can advance this research by applying the proposed approach in different types of fuzzy systems.

Practical implications

The proposed integrated approach is able to simplify the structural optimization methodology and make it possible to be implemented in real processes of the fuzzy controllers' design.

Originality/value

The value of the current paper is on the proposal of an integrated approach for rule reduction to enhance the practical use of modelling and simulation in a design of fuzzy controllers.

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Article
Publication date: 12 June 2017

Murat Selek, Fatih Basçiftçi and Serkan Örücü

Malaria is one of the most sinister life-threatening disease and generally transmitted by the bite of an Anopheles mosquito which was infected. These mosquitoes carry the…

Abstract

Purpose

Malaria is one of the most sinister life-threatening disease and generally transmitted by the bite of an Anopheles mosquito which was infected. These mosquitoes carry the Plasmodium parasite. Worldwide risk of malaria thread is very hard to deal, because of extreme temperature and climate changes which lead to uncontrolled changes in the mosquito population, as many deaths from malaria occur outside the healthcare system and other infections might be misdiagnosed as malaria unless a diagnostic test is done. The purpose of this study is creating a system which is early diagnosing malaria for settlements adequate healthcare units and non-immune travellers.

Design/methodology/approach

In this study’s system, the authors developed a new medical expert system (MES) process using the decreased rule base to detect malaria. The authors’ purpose was to successfully identify the illness by taking all symptoms of malaria into consideration in the MES (six basic signs, 64 different conditions). In the proposed MES process, in place of inspecting all the malaria-related signs, the authors used the decreased rule bases.

Findings

So as to take the lessen decreased bases, Boolean functions are used in a two-level simplification method. Using this method, decreased cases were evaluated by taking six symptoms of malaria into account instead of assessing 64 individual conditions.

Research limitations/implications

The system can be used in diagnosis of asthma and chronic obstructive respiratory disease.

Practical implications

The system can be used in absence of adequate healthcare units. Thus, malaria can be diagnosed early.

Originality/value

The authors hope that the system they have developed will be useful for settlements in the absence of adequate healthcare units and non-immune travellers.

Details

World Journal of Engineering, vol. 14 no. 3
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 6 December 2018

Shaomin Li, Seung Ho Park and Rosey Shuji Bao

The purpose of this paper is to use the framework of rule-based and relation-based governance to examine the evolution of governance environment in the East Asian region…

Abstract

Purpose

The purpose of this paper is to use the framework of rule-based and relation-based governance to examine the evolution of governance environment in the East Asian region including China, South Korea and Taiwan.

Design/methodology/approach

Both qualitative and quantitative evidences are presented to demonstrate the paths these East Asian countries take in their transitions from relation-based governance to rule-based governance. Based on the framework, this analysis sheds light on the debate on whether East Asian economies will eventually move away from relation-based governance to rule-based societies.

Findings

The authors find that relation-based governance has helped East Asian countries achieve rapid economic growth in the early stages of their development. However, as the scale and scope of East Asian economies expand, continuing to rely on it may hinder their further development and therefore these countries should adopt a rule-based governance system in order to be efficient and competitive in the world market. While South Korea and Taiwan have made substantial progress in this transition, China has just embarked on the process.

Originality/value

This paper is among the first to systematically review the theories and evidence of the transition and the challenges East Asian countries face during the process.

Details

International Journal of Emerging Markets, vol. 14 no. 1
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 1 December 2004

Rajkumar Ohdar and Pradip Kumar Ray

In order to ensure the uninterrupted supply of items, the purchasing manager needs to evaluate suppliers' performance periodically. The evaluation process typically…

Abstract

In order to ensure the uninterrupted supply of items, the purchasing manager needs to evaluate suppliers' performance periodically. The evaluation process typically consists of identifying the attributes and factors relevant to the decision, and measuring the performance of a supplier by considering the relevant factors. Linguistic assessment of suppliers may be carried out based on several criteria. In this paper, an attempt has been made to evaluate the suppliers' performance by adopting an evolutionary fuzzy system. One of the key considerations in designing the proposed system is the generation of fuzzy rules. A genetic algorithm‐based methodology is developed to evolve the optimal set of fuzzy rule base, and a fuzzy inference system of the MATLAB fuzzy logic toolbox is used to assess the suppliers' performance. The proposed methodology, illustrated with the data collected in a process plant, provides acceptable results in determining the suppliers' performance score.

Details

Journal of Manufacturing Technology Management, vol. 15 no. 8
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 14 May 2019

Dennis Sundvik

The purpose of this paper is to explore whether principles-based vs rules-based accounting standards have an effect on measures of financial reporting quality and earnings…

Abstract

Purpose

The purpose of this paper is to explore whether principles-based vs rules-based accounting standards have an effect on measures of financial reporting quality and earnings management strategies.

Design/methodology/approach

This study uses a firm-year-specific variable that captures the extent to which firms’ accounting and operating behavior is affected by the characteristics of a specific standard in the USA. Measures of absolute accruals, financial misconducts, signed abnormal accruals and abnormal cash flows are used to assess the effects.

Findings

The results show that absolute magnitude of accruals and probability of financial misconduct is lower, and accrual earnings management is higher when firms’ standards are more based on principles. The study also suggests that potentially costlier real earnings management is a consequence of rules-based standards.

Research limitations/implications

This study relies heavily on measures from the prior accounting literature, hence, care has been exercised in generalizing the findings.

Practical implications

This study has direct implications for a number of stakeholders, including standard setters, policymakers, securities regulators, researchers, investors, financial statement preparers and auditors. For example, the future development of accounting standards can be supported by the empirical conclusions in this study together with previous standard-setting ambitions, commentaries, experiments and analytical work.

Originality/value

This study extends prior single-country studies on reporting quality and cross-country studies on transition effects of firms switching from local to International Accounting Standards by observing the impact of accounting standard characteristics on additional measures of reporting quality and accrual as well as real earnings management when holding institutional factors constant. The study also offers archival evidence complementing prior commentaries, experiments and analytical work.

Details

Journal of Applied Accounting Research, vol. 20 no. 1
Type: Research Article
ISSN: 0967-5426

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Article
Publication date: 2 October 2017

Arash Geramian, Mohammad Reza Mehregan, Nima Garousi Mokhtarzadeh and Mohammadreza Hemmati

Nowadays, quality is one of the most important key success factors in the automobile industry. Improving the quality is based on optimizing the most important quality…

Abstract

Purpose

Nowadays, quality is one of the most important key success factors in the automobile industry. Improving the quality is based on optimizing the most important quality characteristics and usually launched by highly applied techniques such as failure mode and effect analysis (FMEA). According to the literature, however, traditional FMEA suffers from some limitations. Reviewing the literature, on one hand, shows that the fuzzy rule-base system, under the artificial intelligence category, is the most frequently applied method for solving the FMEA problems. On the other hand, the automobile industry, which highly takes advantages of traditional FMEA, has been deprived of benefits of fuzzy rule-based FMEA (fuzzy FMEA). Thus, the purpose of this paper is to apply fuzzy FMEA for quality improvement in the automobile industry.

Design/methodology/approach

Firstly, traditional FMEA has been implemented. Then by consulting with a six-member quality assurance team, fuzzy membership functions have been obtained for risk factors, i.e., occurrence (O), severity (S), and detection (D). The experts have also been consulted about constructing the fuzzy rule base. These evaluations have been performed to prioritize the most critical failure modes occurring during production of doors of a compact car, manufactured by a part-producing company in Iran.

Findings

Findings indicate that fuzzy FMEA not only solves problems of traditional FMEA, but also is highly in accordance with it, in terms of some priorities. According to results of fuzzy FMEA, failure modes E, pertaining to the sash of the rear right door, and H, related to the sash of the front the left door, have been ranked as the most and the least critical situations, respectively. The prioritized failures could be considered to facilitate future quality optimization.

Practical implications

This research provides quality engineers of the studied company with the chance of ranking their failure modes based on a fuzzy expert system.

Originality/value

This study utilizes the fuzzy logic approach to solve some major limitations of FMEA, an extensively applied method in the automobile industry.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 9
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 6 August 2020

Amy K. Lysak

This study aims to evaluate whether the Big-4’s commenting efforts influence the characteristics of Financial Accounting Standards Board’s (FASB’s) Final_Standards using…

Abstract

Purpose

This study aims to evaluate whether the Big-4’s commenting efforts influence the characteristics of Financial Accounting Standards Board’s (FASB’s) Final_Standards using the content of their comment letters. Whether auditors lobby standard-setters to help their clients or to help themselves and whether they are successful are questions highly relevant to issues of auditor independence and audit effectiveness.

Design/methodology/approach

Based on components of Mergenthaler (2009), this study develops a rules-based continuum change score to measure how much more (less) rules-based a Final_Standard is compared to its exposure draft to evaluate the influence of the Big-4 on the FASB’s standard-setting for 63 accounting standards.

Findings

The findings show that extensive comment letters and increased uncertainty language are associated with increases in the rules-based attributes included in Final_Standards. These results suggest the Big-4 prioritize a reduction in their own litigation risk over the possible preferences of their clients for less rigid standards. Moreover, the results are consistent with their comment letters influencing the FASB’s decision to include more rules-based attributes in Final_Standards.

Originality/value

This study develops a potential proxy for audit risk by assessing the changes in the rules-based characteristics of proposed accounting standards and using the content of the comment letters to evaluate whether the Big-4 accounting firms may influence the FASB’s Final_Standards. Overall, this study provides a unique perspective on the influence of constituents on the FASB’s standard-setting.

Details

Journal of Financial Reporting and Accounting, vol. 18 no. 4
Type: Research Article
ISSN: 1985-2517

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