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  • 1.
    Chen, De Jiu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    De Sousa Dias Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Khabazzi, Mahmood Reza
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Zhang, Xinhai
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems.
    A Virtual Environment for the Management and Development of Cyber-Physical Manufacturing Systems2015In: IFAC DCDS15, IFAC Papers Online, 2015, Vol. 48, 29-36 p.Conference paper (Refereed)
    Abstract [en]

    Modern machineries are often cyber-physical system-of-systems controlled by intelligent controllersfor collaborative operations on the productions of complex products. To assure theefficiency and effectiveness, a consolidation of concerns across managerial levels, product lifecyclestages, and product lines or families becomes necessary. This calls for a common informationinfrastructure in terms of ontology, models, methods and tools. For industrial manufacturerssubjected to increased cost pressure and market volatility, the availability of such an informationinfrastructure would promote their abilities of making optimized and proactive decisions andthereby their competitiveness and survivability. This paper presents a virtual environment thatconstitutes an information infrastructure for the management and development of evolvableproduction systems (EPS) in manufacturing. It adopts mature modeling frameworks throughEAST-ADL for an effective model-based approach. The contribution is centered on a meta-modelthat offers a common data specification and semantic basis for information management acrossproduct lifecycle, models and tools, both for resource planning and for anomaly treatment. Aprototype tool implementation of this virtual environment for validation is also presented.

  • 2.
    Chen, DeJiu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems.
    Panfilenko, Dmitri Valeri
    DFKI - German Research Center for Artificial Intelligence.
    Khabbazi, Mahmood R.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Sonntag, Daniel
    DFKI - German Research Center for Artificial Intelligence.
    A Model-Based Approach to Qualified Process Automation for Anomaly Detection and Treatment2016In: 21st IEEE International Conference on Emerging Technology & Factory Automation, ETFA 2016, IEEE conference proceedings, 2016, 7733731Conference paper (Refereed)
    Abstract [en]

    Modern machineries are becoming complex cyberphysicalsystems with increasingly intelligent support for processautomation. For the dependability and performance, acombination of measures for fault avoidance, robust architecture,and runtime anomaly handling is necessary. These in turn callfor a formalization of knowledge across different system lifecyclestages and a provision of novel methods and tools for qualifiedsystem synthesis and effective risk management. This paperpresents a model-based approach to qualified process automationfor the operation and maintenance of production systems. Thecontribution is centered on the formalizations of a wide range ofsystem concerns, and thereby a consolidation of the rationalebehind the design of run-time process logic in BPMN2.0. Inparticular, the approach allows an integration of formal systemdescriptions, FTA and FEMA based anomaly analysis, andexecutable process models for effective anomaly detection andtreatment. The approach adopts mature modeling methods andtools through EAST-ADL. In this paper, a prototype tool-chainwith MetaEdit+ Domain-Specific Modeling (DSM) Workbench,HiP-HOPS Analysis Tool and Camunda BPM Platform is alsopresented.

  • 3.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia UKM, Malaysia.
    Hasan, M. K.
    Sulaiman, R.
    Mousavi, S. A.
    Extending Quality Data for Lot-based Traceability System in SME2010In: Proceedings 2010 International Symposium on Information Technology - System Development and Application and Knowledge Society, ITSim'10, IEEE Computer Society Digital Library, 2010, Vol. 3, 1158-1163 p.Conference paper (Refereed)
    Abstract [en]

    This paper addressed extending quality data in lot-based traceability information system through modeling and evaluation which is purposely designed for small-to-medium size enterprise (SMEs). The solution translates the system behavior and value data arisen from traceability requirement into useful and organized computerized information system. Easy- understanding and economic approach in design and implementation meets conditions of SME environment. The designed information system through data query evaluates the functionality of quality data dynamically.

  • 4.
    Khabbazi, Mahmood Reza
    et al.
    National University of Malaysia.
    Hasan, M. K
    Sulaiman, R
    Shapi’i, A
    Business Process Modeling for Domain Inbound Logistics System: Analytical Perspective with BPMN 2.02013In: Journal of Basic and Applied Scientific Research, ISSN 2090-4304, Vol. 3, no 9, 569-578 p.Article in journal (Refereed)
    Abstract [en]

    Among different Business Process Management strategies and methodologies, one common feature is to captureexisting processes and representing the new processes adequately. Business Process Modelling (BPM) plays acrucial role on such an effort. This paper proposes a “to-be” inbound logistics business processes model usingBPMN 2.0 standard specifying the structure and behaviour of the system within the SME environment. Thegeneric framework of inbound logistics model consists of one main high-level module-based system namedOrder System comprising of four main sub-systems of the Order core, Procure, Auction, and Purchase systems.The system modelingis elaborately discussed to provide a business analytical perspective from various activitiesin inbound logistics system. Since the main purpose of the paper is to map out the functionality and behaviour ofLogistics system requirements, employing the model is of a great necessity on the future applications at systemdevelopment such as in the data modelling effort. Moreover, employing BPMN 2.0 method and providingexplanatory techniques as a nifty guideline and framework to assist the business process practitioners, analystsand managers at identical systems.

  • 5.
    Khabbazi, Mahmood Reza
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Hasan, M.K
    Shapi’i, A
    Sulaiman, R
    Keshavarz, Y
    Mousavi, A
    Object-oriented Modelling for Module-based Production Logistics Inventory System2013In: Australian Journal of Basic and Applied Sciences, ISSN 1991-8178, Vol. 7, no 7, 555-562 p.Article in journal (Refereed)
    Abstract [en]

    This paper proposes module-based object-oriented data models for inventory systemfocusing on the production logistics business processes. It expounds the methodology and modellingprocedure to provide the inventory system requirements. Through warehousing business processanalysis for production logistics and based on the object-oriented technique in a modular basis, thedomain and entity class diagrams are modelled. Through identifying all the required and realizingsystem interfaces, the system is able to be integrated with other back office systems. The model is ableto manipulate all warehousing operation data including receiving, storing, retrieval, allocations andtraceability, and load balancing for actual inventory stock keeping units in real-time to support quickdecision making with minimum efforts and or errors.

  • 6.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    HASAN, M.K
    University Kebangsaan Malaysia.
    SHAPI’I, A
    University Kebangsaan Malaysia.
    SULAIMAN, R
    University Kebangsaan Malaysia.
    TAEI-ZADEH, A
    Inventory System and Functionality Evaluation for Production Logistics2013In: Journal of Theoretical and Applied Information Technology, ISSN 1992-8645, E-ISSN 1817-3195, Vol. 54, no 3, 377-387 p.Article in journal (Refereed)
    Abstract [en]

    This paper addressed a comprehensive modelling and functionality requirement evaluation of perpetual production logistics inventory system for small-to-medium enterprises. The main idea is to analyse the system behaviour and data transactions invoked by a module-based inventory system using business process modelling and object-oriented data modelling techniques. The paper explains through the methodology and modelling procedure which eventually leads to a computerized inventory information system as a module able to be integrated with other back office systems in production logistics. The system is able to manipulate all inbound warehousing operations including docking, storing, and retrieval data as well as actual inventory SKU balance dynamically to keep the inventory data instantly up-to-date and in real-time. The functionality of the solution is evaluated based on the identified inventory system requirements responding to all inventory controlling of receiving, allocating, load balancing, and traceability linking through different types of lookups and data queries.

  • 7.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    Hasan, M.K
    Sulaiman, R
    Shapi’i, A
    Module-based QIS Modeling for Production Logistics in SME2014In: Research Journal of Applied Sciences, Engineering and Technology, ISSN 2040-7459, E-ISSN 2040-7467, Vol. 7, no 1, 183-190 p.Article in journal (Refereed)
    Abstract [en]

    This study proposes an object-oriented modelling for the quality information system as a module able to be integrated with other production logistics back office systems. Using the UML modelling tools such as component and class diagrams, the model addresses the highest level quality business processes and data structure as well as all identified providing and depending interfaces and the messaging system in a module-based framework design. The methodology and adopted procedures are explained in details of which provide a better understanding of the modelling and the possibility for the lower-levels quality data extensions following the same framework. The model is able to manipulate all quality control data for purchasing, production and remedy operation in a lot-based make-to-order production system within a defined module.

  • 8.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia, Bangi, Malaysia.
    Hasan, M.K
    Sulaiman, R
    Shapi’i, A
    Business Process Modeling for Domain Outbound Logistics System: Analytic Perspective with BPMN 2.02013In: World Applied Sciences Journal, ISSN 1818-4952, E-ISSN 1991-6426, Vol. 28, no 3, 367-377 p.Article in journal (Refereed)
    Abstract [en]

    This paper proposes a generic"to-be" business processes model for domain highest-level outbound logistics system representing the possible alternative structure and behaviour of the system in respect to x-party logistics services applicable in Small-to-medium sized enterprises. The generic framework of outbound logistics model consists of one main modular system named as the Shipping System including five internal sub-systems of the shipping core, shipping requirement, First Party Logistics (1PL), Third Party Logistics (3PL) and Customer Relationship Management (CRM) systems. The shipping system business process model supports all outbound logistics activities interacting with the customer, 3PL provider and other back office systems such as order system and inventory system. The modelling procedure is elaborately discussed to provide a business analytical view from various activities within the outbound logistics system. Moreover, the model provides essential knowledge input for system development and improvement through capturing all significant highest-level business process and sub-processes and revealing potential automation capabilities on data capturingas well as the process monitoring.

  • 9.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    Hasan, M.K
    University Kebangsaan Malaysia.
    Sulaiman, R
    University Kebangsaan Malaysia.
    Shapi'i, A
    University Kebangsaan Malaysia.
    Business Process Modeling in Production Logistics: Complementary Use of BPMN and UML2013In: Middle East Journal of Scientific Research, ISSN 1990-9233, Vol. 15, no 4, 516-529 p.Article in journal (Refereed)
    Abstract [en]

    This paper investigates the suitability and sufficincy of BPMN language in business processmodelling. Production logistics system is modeled at the highest domain level using case study in carcomponent industry to examine the language in every aspect. Modelling is carried out in a modular basis forthree main sub-systems generally using BPMN 2.0. Complementary use of other modeling tool to cover all thecritical flows of objects and associate data in modeling was seen necessary and addressed using UML activitydiagrams employing the specific capability of modeling the material flow and semantics. Modeling the flow ofobjects provides the comprehensive perspective of the whole system and fulfill the need of capturing allundepicted object flows as well as processes and data which may not be sheerly covered using the BPMN. Theproposed models provides great beneficial referentiality for modelers, analyists and actual practitioners oflogistics activities. The significant explanatory description and strategy are the key feature of the paper tofollow using state-of-the- art modeling tool of BPMN 2.0 and UML.

  • 10.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    Hasan, M.K
    University Kebangsaan Malaysia.
    Sulaiman, R
    University Kebangsaan Malaysia.
    Shapi’i, A
    University Kebangsaan Malaysia.
    Process-based material workflow modeling in inbound logistics: modeling tools evaluation2014In: Middle East Journal of Scientific Research, ISSN 1990-9233, Vol. 20, no 12, 1699-1708 p.Article in journal (Refereed)
    Abstract [en]

    This paper evaluates the suitability of the workflow modeling tools through process-based materialworkflow perspective. A case example in inbound logistics system of “Resource Reception” workflow at thehighest domain abstract level is examined with four nominated workflow modeling standards of Data FlowDiagram (DFD), Event-based Process Control (EPC), Business Process Model and Notation (BPMN) andUnified Modeling Language (UML) Activity Diagrams (AD). Focusing on the physical object diagramingsyntax and semantics, the essential factors of the flows, consumption pattern and states for physical objectsas well as readability, easiness and comprehensiveness of the modeling tools were discussed throughout themodeling development. The models and comparative evaluation results clearly demonstrates the superiorityand advantages of using UML Ads at the workflow modeling providing an extensive view of the whole systemfunctionalities and behavior fulfilling the necessity of capturing any undepicted entity that might hold the keyof improvement in Business Process Management (BPM).

  • 11.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    Hasan, M.K
    Sulaiman, R
    Shapi’i, A
    Eskandari, A
    Inbound Logistics Data Transaction System Modeling in SME: Transition from BPM to Data Modeling2013In: World Applied Sciences Journal, ISSN 1818-4952, E-ISSN 1991-6426, Vol. 24, no 6, 772-783 p.Article in journal (Refereed)
    Abstract [en]

    This study focuses on capturing all process-based data transaction system for the highest level ofabstraction in inbound logistics activities in SME environment. As a business process modelling toolobjective to provide better understanding and analytical view of the system, Data Flow Diagrams (DFD) arechosen due to the specific features of depicting the information movement and a complete set of diagrams aregenerated including the Context, Level 0 and Level 1 diagrams. The proposed DFDs for inbound logisticssystem provide transitional views for the system which is not easily achievable merely through businessprocess modelling (BPM) at identification of data dependencies, system components and data bundlespecification details required for an object-oriented and module-based conceptual and logical data modellingeffort. As the results, all system components as well as all data repositories and data bundles to be used indatabase blueprint design and messaging and notification system development are identified.

  • 12.
    Khabbazi, Mahmood Reza
    et al.
    Universiti Putra Malaysia, Malaysia.
    Ismail, N.
    Ismail, Md. Yusof
    Mousavi, S. A.
    Data modeling of traceability information for manufacturing control system2009In: Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009, Kuala Lumpur: IEEE Computer Society Digital Library, 2009, 633-637 p.Conference paper (Refereed)
    Abstract [en]

    This paper focuses on data modeling for traceability in information layer of manufacturing control system. The model is able to trace all associated data throughout the product manufacturing from order to final product. Applicability of designed data-model is enhanced with traceability of associated quality data for the system dynamically. The modeling consisted of four steps, mapped successfully and integrated in one final framework. Techniques and procedures of the modeling are explained along with business relationships. Data model expression based on entity-relationships modeling is proposed. The developed model promises to handle fundamental issues of a traceability system effectively. It supports for customization and real-time control of material in flow in all quality and production operation processes. Recording deviations and assessing their impact become easier. Through enhanced visibility and dynamic store/retrieval of data, all traceability usages and applications is responded. Designed solution is initially applicable in identical lot-base traceability of material in flow cases as a reference data model.

  • 13.
    Khabbazi, Mahmood Reza
    et al.
    University Kebangsaan Malaysia.
    Shapi’i, A
    Hasan, M. K
    Sulaiman, R
    Eskandari, A.C
    Taei-Zadeh, A
    Object-oriented Design Framework for Stock Keeping Unit Generating System2013In: Jurnal Teknologi, ISSN 2180-3722, Vol. 63, no 1, 81-86 p.Article in journal (Refereed)
    Abstract [en]

    This paper proposes an object-oriented design for generating Stock Keeping Unit coding system. Through recognition and analysis of the inventory item particulars and conceptualizing the important classes as one package, the framework is developed in a modular-basis able to be integrated with other parts of the system. Using UML class and package diagram as of the best practice in object-oriented, conducting the analysis and design is elaborately discussed. A prototype implementation is carried out to support the designed framework over its applicability at a modular information system. Moreover, the item particular package with unique and organized SKU numbering system efficiently supports the fundamental need of item identification at inventory control operations and classification and guarantees different types of reports and lookups.

  • 14.
    Khabbazi, Mahmood Reza
    et al.
    UPM, Malaysia.
    Yusof Ismail, M.D
    UPM, Malaysia.
    Ismail, N
    UPM, Malaysia.
    Mousavi, S.A
    UPM, Malaysia.
    Modeling of traceability information system for material flow control data2010In: Australian Journal of Basic and Applied Sciences, ISSN 1991-8178, Vol. 4, no 2, 208-216 p.Article in journal (Refereed)
    Abstract [en]

    This paper focuses on data modeling for traceability of material/work flow in informationlayer of manufacturing control system. The model is able to trace all associated data throughout theproduct manufacturing from order to final product. Dynamic data processing of Quality and Purchaseactivities are considered in data modeling as well as Order and Operation base on lots particulars. Themodeling consisted of four steps and integrated as one final model. Entity-Relationships Modeling asdata modeling methodology is proposed. The model is reengineered with Toad Data Modeler softwarein physical modeling step. The developed model promises to handle fundamental issues of atraceability system effectively. It supports for customization and real-time control of material in flowin all levels of manufacturing processes. Through enhanced visibility and dynamic store/retrieval ofdata, all traceability usages and applications is responded. Designed solution is initially applicable asreference data model in identical lot-base traceability system.

  • 15.
    Mahmood Reza, Khabbazi
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Onori, Mauro (Contributor)
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio (Contributor)
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Chen, De-Jiu (Contributor)
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Module-based Quality System Functionality Evaluation in Production Logistics2016In: Journal of Industrial Engineering and Management, ISSN 2013-8423, E-ISSN 2013-0953, Vol. 9, no 2, 310-329 p.Article in journal (Refereed)
    Abstract [en]

    Purpose: This paper addresses a comprehensive modeling and functionality evaluation of amodule-based quality system in production logistics at the highest domain abstract level ofbusiness processes.

    Design/methodology/approach: All domain quality business processes and quality datatransactions are modeled using BPMN and UML tools and standards at the business process anddata modeling. A modular web-based prototype is developed to evaluate the models addressingthe quality information system functionality requirements and modularity in production logisticsthrough data scenarios and data queries.

    Findings: Using the object-oriented technique in design at the highest domain level, theproposed models are subject further development in the lower levels for the implementing case.The models are specifically able to manipulate all quality operations including remedy and controlin a lot-based make-to-order production logistics system as an individual module.

    Practical implications: Due to the specification of system as domain design structure, allproposed BPMs, data models, and the actual database prototype are seen referential if not asolution as a practical “to-be” quality business process re-engineering template. 

    Originality/value: this paper sets out to provide an explanatory approach using differentpractical technique at modeling steps as well as the prototype implementation.

  • 16.
    Mahmood Reza, Khabbazi
    et al.
    University Putra Malaysia, Malaysia.
    Ismail, Md. Yusof
    Ismail, N
    Mousavi, S.A
    Mirsaneid, H.S
    Lot-based traceability requirements and functionality evaluation for Small-to-medium size enterprises2011In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 49, no 3, 731-746 p.Article in journal (Refereed)
    Abstract [en]

    This paper addressed a data modelling and functionality evaluation of traceability system requirements and its implementation for small- to medium-sized enterprises (SMEs). The major idea is to convert the data structure and system behaviour arising from traceability requirement into modelling using data modelling techniques in a user-friendly and economical way. Then, based on a case study the paper expounds the methodology by implementing the model to a computerised traceability information system. The system can manipulate operation data as well as quality data dynamically to keep the traceability information up to date and useful. The solution responds to all traceability requirements of integrity, data collecting, linking, and guarantees different types of lists and reports in the support of quick decision making with minimal human efforts.

  • 17.
    Mahmood Reza, Khabbazi
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Wikander, Jan
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Bergseth, Ellen
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.).
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, Superseded Departments, Production Engineering.
    Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs2017In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC), IEEE , 2017, 343-347 p.Conference paper (Refereed)
    Abstract [en]

    This paper introduces the assembly feature data schema instance modeling to pre-examine the schema functionality and output- as the preliminary step for data modeling. In order to link assembly with product design, it is essential to determine which entities of product design are involved at the automated assembly planning and operations. It is possible to assign meaningful attributes (assembly features) to the part model entities in a systematic and structured way. Using object-oriented design, the assembly feature data structure and its relationships are modeled. As a part of the research on product and assembly system data integration within the evolvable production system platform, the instance models for proposed assembly feature data structure provide a deeper understanding and error reduction that might possibly occur at the development of the database. Moreover through instance modeling, the assembly feature data query output format from the database prototype is simulated. An industrial assembly model example with its 3DPart models is chosen to demonstrate the realized assembly feature data set with string data type. The models support the desired simplicity at the database prototype implementation. The output format envisions the interoperability factor between product models and the assembly planning systems.

  • 18. Mirsanei, H.S.
    et al.
    Zandieh, M.
    Moayed, M.J.
    Mahmood Reza, Khabbazi
    University Putra Malaysia, Malaysia .
    A simulated annealing algorithm approach to hybrid flow shop scheduling with sequence-dependent setup times2011In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 2, no 6, 956-978 p.Article in journal (Refereed)
    Abstract [en]

    One of the scheduling problems with various applications in industries is hybrid flow shop. In hybrid flow shop, a series of n jobs are processed at a series of g workshops with several parallel machines in each workshop. To simplify the model construction in most research on hybrid flow shop scheduling problems, the setup times of operations have been ignored, combined with their corresponding processing times, or considered non sequence-dependent. However, in most real industries such as chemical, textile, metallurgical, printed circuit board, and automobile manufacturing, hybrid flow shop problems have sequence-dependent setup times (SDST). In this research, the problem of SDST hybrid flow shop scheduling with parallel identical machines to minimize the makespan is studied. A novel simulated annealing (NSA) algorithm is developed to produce a reasonable manufacturing schedule within an acceptable computational time. In this study, the proposed NSA uses a well combination of two moving operators for generating new solutions. The obtained results are compared with those computed by Random Key Genetic Algorithm (RKGA) and Immune Algorithm (IA) which are proposed previously. The results show that NSA outperforms both RKGA and IA.

  • 19. Mousavi, S. A.
    et al.
    Hamidon, M. N.
    Sidek, R. M.
    Bayat, M.
    Khabbazi, Mahmood Reza
    Rahimi, Maryam
    Three-Dimensional Finite Element Analysis of GaPO4/Pt Surface Acoustic Wave Resonator Based on Cell Model2009In: International Review on Modeling and Simulations, ISSN 1974-9821, E-ISSN 1974-983X, Vol. 2, no 4, 426-432 p.Article in journal (Refereed)
    Abstract [en]

    This paper present a three-dimensional finite element method for the one-port surface acoustic wave resonator base on GaPO4 with 5° cut for high frequency application. Interdigital transducer is assumed a thin film platinum with chromium as an under-layer material. The simulated frequency response and wave propagation are obtained under base cell model at 433.92 MHz centre frequency under ISM band. Frequency responses versus impedance are compared and verify with the known result in literature. The results show that the total displacements are vanished at a distance of about 2 to 3 wavelength from the surface. As expected, the X and Y displacement are 90°out-of-phase with each other. It is observed that the mass loading effect is suitable for prediction of resonant frequency. It is Q found that the factor value is larger than 1000 and the mode shapes for resonant and anti-resonant condition are different at two edges of stop-band.

  • 20.
    Taei Zadeh, Ali
    et al.
    UKM, Kuala Lumpur, Malaysia.
    Mukhtar, Muriati
    UKM, Kuala Lumpur, Malaysia.
    Sahran, Shahnorbanun
    UKM, Kuala Lumpur, Malaysia.
    Khabbazi, Mahmood Reza
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. UKM, Kuala Lumpur, Malaysia.
    A Systematic Input Selection for Service Identification in SMEs2012In: Journal of Applied Sciences, ISSN 1812-5654, E-ISSN 1812-5662, Vol. 12, no 12, 1232-1244 p.Article in journal (Refereed)
    Abstract [en]

    Service-oriented Architecture (SOA) as an ideal architecture to support today’s business challenges such as agility and flexibility acts like a bridge between IT and business domains. There are intensified SOA applications at large enterprises. However, small and medium enterprises cannot obtain SOA benefits due to the lack of compatible solutions of SOA implementation challenges. Service identification is the first step in service modeling that extracts services as building blocks of SOA. Determining suitable inputs for SME service identification based on their conditions is a key factor for developing related identification method. This paper proposes SME based criteria to evaluate current inputs of service identification. To assess the inputs that are collected from variety of sources a mapping process between enterprise goals and collected inputs is presented.

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