Improved Multi-Step Look-Ahead Control Policies for Automated Manufacturing Systems

Gu, Chao; Li, Zhiwu; Wu, Naiqi; Khalgui, Mohamed; Qu, Ting; Al-Ahmari, Abdulrahman

doi:10.1109/access.2018.2872572

Cited by 38 publications

(31 citation statements)

References 53 publications

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“…We will compare them by conducting more experiments and refine the proposed method [85][86][87]. As such, hybridizing the proposed MCDM method with recent advances in heuristics and metaheuristics is another good continuation of this work [88][89][90][91][92][93]. Comprehensive evaluation vector.…”

Section: Discussionmentioning

confidence: 99%

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

et al. 2019

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Recently, there is of significant interest in developing multi-criteria decision making (MCDM) techniques with large applications for real-life problems. Making a reasonable and accurate decision on MCDM problems can help develop enterprises better. The existing MCDM methods, such as the grey comprehensive evaluation (GCE) method and the technique for order preference by similarity to an ideal solution (TOPSIS), have their one-sidedness and shortcomings. They neither consider the difference of shape and the distance of the evaluation sequence of alternatives simultaneously nor deal with the interaction that universally exists among criteria. Furthermore, some enterprises cannot consult the best professional expert, which leads to inappropriate decisions. These reasons motivate us to contribute a novel hybrid MCDM technique called the grey fuzzy TOPSIS (FGT). It applies fuzzy measures and fuzzy integral to express and integrate the interaction among criteria, respectively. Fuzzy numbers are employed to help the experts to make more reasonable and accurate evaluations. The GCE method and the TOPSIS are combined to improve their one-sidedness. A case study of supplier evaluation of a collaborative manufacturing enterprise verifies the effectiveness of the hybrid method. The evaluation result of different methods shows that the proposed approach overcomes the shortcomings of GCE and TOPSIS. The proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the fuzzy system MCDM problems with interaction criteria.

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Section: Discussionmentioning

confidence: 99%

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

et al. 2019

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“…Moreover, the proposed methodology is appropriate for multiproduct manufacturing systems, and provides an effective PLC implementation. In addition to model and control an AMS using multi-step look-ahead control policies Gu et al [41] and state-tree structure Gu et al [42], the research could be extended in several ways:…”

Section: Discussionmentioning

confidence: 99%

Design and Implementation of Deadlock Control for Automated Manufacturing Systems

Kaid

Al-Ahmari

El-Tamimi

et al. 2019

SAJIE

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Petri nets are robust mathematical tools for the modelling, handling, and control of deadlock problems in automated manufacturing systems (AMSs). Several methods have been proposed to prevent deadlocks in AMSs. However, it is important to convert the controlled system represented by Petri nets into the program of a programmable logic controller (PLC) for the implementation of automation tasks. This study proposes a methodology based on Petri nets for deadlock prevention, and generates PLC codes for an AMS. In the suggested methodology, a Petri net model of an uncontrolled system is built, and the controlled Petri net model is developed using a deadlock-prevention method. The controlled Petri net model is then transformed into an automation-controlled Petri net model, which is further converted into a controlled token-passing logic model. The controlled tokenpassing logic model is utilised to generate the ladder diagrams for the AMS under consideration. The proposed methodology was tested using a real-world AMS at King Saud University labs. It provides an effective method for PLC implementation from a controlled system model represented by Petri nets.

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“…Our future research is to make transformation of all BPMN constructs on the basis of the formalism proposed by Kheldoun et al 69 and extended with time and probability. Moreover, we will study the deadlock problem 90 in a business process model and use this model to the wireless sensor networks. 91,92…”

Section: Discussionmentioning

confidence: 99%

Transformation of Business Process Model and Notation models onto Petri nets and their analysis

Mutarraf

Barkaoui

et al. 2018

Advances in Mechanical Engineering

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Business Process Model and Notation is known as a widely used standard for business processes modeling. However, its main drawback is that it lacks formal semantics, leading to some undesirable properties, such as livelocks and deadlocks, such that it creates models with semantic errors. In order to formally verify them, we need to transform it onto a formal language, for example, Petri nets. The approach proposed in this article is an extension of previous approaches stated in the literature by adding probability to gateways and time to transitions. The first aim is to transform the Business Process Model and Notation process diagram onto Petri nets automatically using a developed software package. The developed software package is capable of transforming the XML file of a Business Process Model and Notation process diagram into ''m'' files of a Petri net. The ''m'' files of the Petri net are then coupled with the General Purpose Petri Net Simulator (GPenSIM) for analysis in MATLAB. The second aim is to manually transform the Business Process Model and Notation process diagram using mapping figures onto Petri nets and then analyze it using Timed Petri Net Analyzer tools. The advantage of transforming a Business Process Model and Notation diagram automatically is that we can add time to transitions and probability to gateways. Furthermore, the simulation time can be checked using MATLAB.

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Improved Multi-Step Look-Ahead Control Policies for Automated Manufacturing Systems

Cited by 38 publications

References 53 publications

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

Design and Implementation of Deadlock Control for Automated Manufacturing Systems

Transformation of Business Process Model and Notation models onto Petri nets and their analysis

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