Fuzzy logic in manufacturing: A review of literature and a specialized application

Azadegan, Arash; Porobic, Lejla; Ghazinoory, Sepehr; Samouei, Parvaneh; Kheirkhah, Amir Saman

doi:10.1016/j.ijpe.2011.04.018

Cited by 118 publications

(48 citation statements)

References 112 publications

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“…As a result, fuzzy tools are easy to implement and modify. Nevertheless, despite their ''user-friendly' outlet, fuzzy tools have shown to perform just as or better than other soft approaches to decision making under uncertainties (Azadegan et al, 2011). These characteristics have made fuzzy logic and tools associated with its use to become quite popular in tackling manufacturing related challenges.…”

Section: Literature Reviewmentioning

confidence: 99%

An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules

Ahmed¹,

Khan²,

Haque³

et al. 2016

American Journal of Engineering and Applied Sciences

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This paper aims at developing a dynamic job shop scheduling by establishing fuzzy rule based system and comparing its effectiveness with the traditional priority rules. In order to understand the priorities of different jobs in a job shop, the paper investigates all the contributing criteria of different parameters. Since the traditional priority rules only emphasis on a single parameter at a time, the authors propose a method of obtaining a schedule which incorporates all the desired contribution criteria of the parameters used. This method includes establishing a Fuzzy priority rule. Fuzzy is an appropriate model when uncertainty and irregularities are present. It also allows modeling of a significant number of alternatives across different parameters considered in a job shop. Hence, a dynamic job shop schedule can be developed using the established fuzzy priority rule. This research is based on an example of jobs arriving in a regular semi-automated job shop, not a fully automated or software based job shop. The practical implications of this paper is to identify the proper parameters and evaluate their contribution criteria on the required conditions so that managers can determine the proper scheduling and sequence of the jobs to be machined in the job shop. This study provides a deterministic method for local managers to assess the effects of job shop scheduling and sequence of jobs.

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Section: Literature Reviewmentioning

confidence: 99%

An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules

Ahmed¹,

Khan²,

Haque³

et al. 2016

American Journal of Engineering and Applied Sciences

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show abstract

“…Fuzzy controllers have received great appreciation in industry recently [24][25][26]. That is due to wide range of advantages that they offer, if they are implemented properly.…”

Section: Fixed Structure Fuzzy Logic Controller (Fs-flc)mentioning

confidence: 99%

“…FLCs are independent of the mathematical model of the plant under investigation; instead they are based on human expertise. Moreover, fuzzy based controllers offer a more flexible alternative for control designers, that is, the input and output variables can be given different treatments to counteract inherent nonlinearities or environment disturbances [24]. The main drawback of FLCs is that there is no systematic procedure to design and tune the fuzzy inference system (FIS) parameters [27].…”

Section: Fixed Structure Fuzzy Logic Controller (Fs-flc)mentioning

confidence: 99%

An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers

et al. 2014

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This article presents an intelligent fuzzy logic controller (FLC) for controlling single-body heaving wave energy converter (WEC) or what is widely known as "Point Absorber". The controller aims at maximizing the energy captured from the sea waves. The power take-off (PTO) limitations are addressed implicitly in the fuzzy inference system (FIS) framework. In order to enhance the WEC power capturing bandwidth and make it less susceptible to wave environment irregularities and the system parametric uncertainties, the controller is built to have a self-configurable capability. This also eliminates the need to repeatedly run in-situ tuning procedure of the fuzzy controller or switch between several controllers based on the operating conditions. The fuzzy membership functions (MFs) are optimally tuned using particle swarm optimization (PSO) algorithm. To alleviate the computational burden associated with performing on-line optimization, the fuzzy controller is tuned at a rate significantly lower than the system sampling time. The suggested PSO-FLC has shown promising results compared with the fixed structure fuzzy logic controller (FS-FLC) and other passive control strategies. Several computer simulations were carried out to evaluate the controller effectiveness by applying different sea-states and analyzing the resultant WEC dynamics.

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“…Azadegan et al (2011) citam que, quando a decisão envolve questões relacionadas a organizações, a incerteza pode ser causada por fatores internos (seres humanos, máquinas ou pelo sistema da organização) ou fatores externos (politica, forças do mercado, comportamentos competitivos, entre outros).…”

Section: Introductionunclassified

Competências Essenciais Da Organização: Avaliação Baseada No Método Electre Tri

Cervi

Carpinetti

2017

PODes

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A identificação das competências essenciais pode trazer uma série de benefícios para a organização. Esses benefícios são a identificação de atividades passíveis de terceirização, a construção e manutenção de vantagens competitivas, o foco em atividades essenciais, entre outros. O objetivo desse trabalho é apresentar uma forma de avaliação das competências essenciais da organização (e consequentemente da possibilidade de terceirização ou não) baseada em métodos de decisão multicritério. Para isso construiu-se um referencial teórico sobre competências essenciais e sobre o método de decisão multicritério ELECTRE TRI, e também um caso ilustrativo para entendimento do processo decisório. Os resultados mostram que o método ELECTRE TRI é adequado ao problema estudado, podendo auxiliar as organizações a realizarem avaliações de forma mais estruturada.Palavras-chave: Competências essenciais, Métodos de decisão multicritério, Categorização, ELECTRE TRI. ABSTRACTThe identification of core competences can bring benefits to the organization. These benefits can be understood as: identify activities that can be outsourced, help to acquire and sustain competitive advantages, focus on core competences, among others. The objective of this work is to present a way to identify the core competences of the organization (and consequently to evaluate the possibility of outsourcing activities) based on ELECTRE TRI, a multi-criteria decision making method. To achieve this goal we conduct a literature review about core competences and the ELECTRE TRI, and an illustrative example of the decision problem. The results shown that the ELECTRE TRI method is appropriate to help decision makers to identify the core competences of the corporation.

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Fuzzy logic in manufacturing: A review of literature and a specialized application

Cited by 118 publications

References 112 publications

An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules

An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules

An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers

Competências Essenciais Da Organização: Avaliação Baseada No Método Electre Tri

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