The Experts below are selected from a list of 50079 Experts worldwide ranked by ideXlab platform

Akif Asil Bulgak - One of the best experts on this subject based on the ideXlab platform.

  • a cost of quality decision support model for lean Manufacturing Activity based costing application
    International Journal of Quality & Reliability Management, 2013
    Co-Authors: Amir H. Khataie, Akif Asil Bulgak
    Abstract:

    Purpose – The purpose of this article is to introduce a novel cost of quality (COQ) decision support model (DSM), which can help management to track the effect of changing each incorporated value added (VA) and non‐value added (NVA) Activity on each other's cost as well as on the quality costs in real time.Design/methodology/approach – System dynamics (SD) is used as the modelling tool due to its dynamic characteristic and its advantages; such as the possibility of integrating qualitative factors and defining learning loops. In order to enhance the performance of the model, Activity‐based costing (ABC) cost structure has been integrated.Findings – Lean Manufacturing (LM) focuses on the methodologies and approaches that can help an enterprise to reduce the waste factors in its processes. Few studies have proven the capability of ABC in providing valuable cost information for LM implementation due to its Activity‐oriented nature. This study is another step towards showing the advantages of ABC in controllin...

  • A cost of quality decision support model for lean Manufacturing: Activity‐based costing application
    International Journal of Quality & Reliability Management, 2013
    Co-Authors: Amir H. Khataie, Akif Asil Bulgak
    Abstract:

    Purpose – The purpose of this article is to introduce a novel cost of quality (COQ) decision support model (DSM), which can help management to track the effect of changing each incorporated value added (VA) and non‐value added (NVA) Activity on each other's cost as well as on the quality costs in real time.Design/methodology/approach – System dynamics (SD) is used as the modelling tool due to its dynamic characteristic and its advantages; such as the possibility of integrating qualitative factors and defining learning loops. In order to enhance the performance of the model, Activity‐based costing (ABC) cost structure has been integrated.Findings – Lean Manufacturing (LM) focuses on the methodologies and approaches that can help an enterprise to reduce the waste factors in its processes. Few studies have proven the capability of ABC in providing valuable cost information for LM implementation due to its Activity‐oriented nature. This study is another step towards showing the advantages of ABC in controllin...

Antonio Carlos Teixeira - One of the best experts on this subject based on the ideXlab platform.

  • Spatial Distribution of Manufacturing Activity and its Determinants: A Comparison of Three Small European Countries
    Regional Studies, 2009
    Co-Authors: Salvador Barrios, Eric Strobl, Luisito Bertinelli, Antonio Carlos Teixeira
    Abstract:

    Barrios S., Bertinelli L., Strobl E. and Teixeira A. C. Spatial distribution of Manufacturing Activity and its determinants: a comparison of three small European countries, Regional Studies. The paper investigates and compares the spatial distribution of Manufacturing Activity and its determinants in Belgium, Ireland, and Portugal using comparable, exhaustive micro-level data sets. Some similarities are found between Portugal and Belgium, but little for Ireland. Moreover, there is some evidence that forward and backward linkages, research and development Activity, and labour market pooling of skilled labour can be important determinants of agglomeration, although this crucially depends on the country examined. Barrios S., Bertinelli L., Strobl E. et Teixeira A. C. Repartition spatiale des activites manufacturieres et de leurs determinants: comparaison de trois petits pays europeens, Regional Studies. Dans cet article, nous analysons et nous comparons la repartition spatiale des activites manufacturieres e...

  • Agglomeration Economies and the Location of Industries: A Comparison of Three Small European Countries
    Regional Studies, 2009
    Co-Authors: Luisito Bertinelli, Eric Strobl, Salvador Barrios, Antonio Carlos Teixeira
    Abstract:

    We investigate and compare the spatial distribution of Manufacturing Activity and its determinants in Belgium, Ireland, and Portugal using comparable, exhaustive micro-level data sets. We find some similarities between Portugal and Belgium, but little for Ireland. Moreover, there is some evidence that forward and backward linkages, R&D Activity, and labour market pooling of skilled labor can be important determinants of agglomeration, although this crucially depends on the country examined.

A. D. Hope - One of the best experts on this subject based on the ideXlab platform.

  • PRICAI - The application of B-Spline neurofuzzy networks for condition monitoring of metal cutting tool
    Lecture Notes in Computer Science, 2006
    Co-Authors: P. Fu, A. D. Hope
    Abstract:

    Metal cutting operations constitute a large percentage of the Manufacturing Activity. Cutting tool condition monitoring is certainly the important monitoring requirement of unintended machining operations. A multi-purpose intelligent tool condition monitoring technique for metal cutting process will be introduced in this paper. The knowledge based intelligent pattern recognition algorithm is mainly composed of a fuzzy feature filter and algebraic neurofuzzy networks. It can carry out the fusion of multi-sensor information to enable the proposed intelligent architecture to recognize the tool condition successfully.

  • the application of b spline neurofuzzy networks for condition monitoring of metal cutting tool
    Lecture Notes in Computer Science, 2006
    Co-Authors: P. Fu, A. D. Hope
    Abstract:

    Metal cutting operations constitute a large percentage of the Manufacturing Activity. Cutting tool condition monitoring is certainly the important monitoring requirement of unintended machining operations. A multi-purpose intelligent tool condition monitoring technique for metal cutting process will be introduced in this paper. The knowledge based intelligent pattern recognition algorithm is mainly composed of a fuzzy feature filter and algebraic neurofuzzy networks. It can carry out the fusion of multi-sensor information to enable the proposed intelligent architecture to recognize the tool condition successfully.

  • Tool Condition Monitoring Based on an Adaptive Neurofuzzy Architecture
    Materials Science Forum, 2004
    Co-Authors: P. Fu, A. D. Hope, G.a. King
    Abstract:

    Metal cutting operations constitute a large percentage of the Manufacturing Activity. One of the most important objectives of metal cutting research is to develop techniques that enable optimal utilization of machine tools, improved production efficiency, high machining accuracy and reduced machine downtime and tooling costs. Machining process condition monitoring is certainly the important monitoring requirement of unintended machining operations. A multi-purpose intelligent tool condition monitoring technique for metal cutting process will be introduced in this paper. The knowledge based intelligent pattern recognition algorithm is mainly composed of a fuzzy feature filter and algebraic neurofuzzy networks. It can carry out the fusion of multi-sensor information to enable the proposed intelligent architecture to recognize the tool condition successfully.

Amir H. Khataie - One of the best experts on this subject based on the ideXlab platform.

  • a cost of quality decision support model for lean Manufacturing Activity based costing application
    International Journal of Quality & Reliability Management, 2013
    Co-Authors: Amir H. Khataie, Akif Asil Bulgak
    Abstract:

    Purpose – The purpose of this article is to introduce a novel cost of quality (COQ) decision support model (DSM), which can help management to track the effect of changing each incorporated value added (VA) and non‐value added (NVA) Activity on each other's cost as well as on the quality costs in real time.Design/methodology/approach – System dynamics (SD) is used as the modelling tool due to its dynamic characteristic and its advantages; such as the possibility of integrating qualitative factors and defining learning loops. In order to enhance the performance of the model, Activity‐based costing (ABC) cost structure has been integrated.Findings – Lean Manufacturing (LM) focuses on the methodologies and approaches that can help an enterprise to reduce the waste factors in its processes. Few studies have proven the capability of ABC in providing valuable cost information for LM implementation due to its Activity‐oriented nature. This study is another step towards showing the advantages of ABC in controllin...

  • A cost of quality decision support model for lean Manufacturing: Activity‐based costing application
    International Journal of Quality & Reliability Management, 2013
    Co-Authors: Amir H. Khataie, Akif Asil Bulgak
    Abstract:

    Purpose – The purpose of this article is to introduce a novel cost of quality (COQ) decision support model (DSM), which can help management to track the effect of changing each incorporated value added (VA) and non‐value added (NVA) Activity on each other's cost as well as on the quality costs in real time.Design/methodology/approach – System dynamics (SD) is used as the modelling tool due to its dynamic characteristic and its advantages; such as the possibility of integrating qualitative factors and defining learning loops. In order to enhance the performance of the model, Activity‐based costing (ABC) cost structure has been integrated.Findings – Lean Manufacturing (LM) focuses on the methodologies and approaches that can help an enterprise to reduce the waste factors in its processes. Few studies have proven the capability of ABC in providing valuable cost information for LM implementation due to its Activity‐oriented nature. This study is another step towards showing the advantages of ABC in controllin...

Michel Guillot - One of the best experts on this subject based on the ideXlab platform.

  • modeling of the metal powder compaction process using the cap model part ii numerical implementation and practical applications
    International Journal of Solids and Structures, 2002
    Co-Authors: Hedi Chtourou, Augustin Gakwaya, Michel Guillot
    Abstract:

    Abstract The finite element (FE) simulation method has recently been used as an alternative design tool in powder metallurgy (PM) industry. It allows for the prediction of density and stress distributions in the pressed compact prior to the actual tooling design and Manufacturing Activity. It thus makes possible the validation of the PM part and associated tooling design. However, the accuracy of FE prediction highly depends on the choice of an appropriate and well calibrated powder material model, as well as on the effectiveness of the computational environment. While the first point was presented in a previous work, the present paper addresses some computational aspects of compaction process modeling approach in the context of industrial production environment. Hence, this paper presents a discussion of the choice of stress and strain measures used in this large deformation context. It also presents the implementation of the cap constitutive model into abaqus FE software using the closest point projection algorithm. Furthermore, an integrated simulation module has been developed and is described herein. This module, designed in order to render the modeling approach practical and industrially attractive to PM engineers, permits an easy definition of the tooling and the powder geometry, as well as the prescription of compaction sequence and all other boundary conditions. Finally, the simulation of the compaction of an industrial PM part, intended to illustrate the usefulness of the simulation approach in the task of improving the design of PM part and process, is presented.