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Designing a new model of distributed quality control for sub-assemble products based on the intelligent web information system

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Abstract

The quality control of sub-assemble products (SAP) in a distributed manufacturing shop (DMS) becomes crucial and complicated when the production of SAPs involves a variety of production technology. In this case, traditional statistical process control methods are not sufficient to control such manufacturing system. Here, we design an intelligent web information system, where quality data are collected from DMS and stored in the central database. The processes of manufacturing SAPs in DMS are then controlled by clustering homogenous SAPs using the quality control of SAP in DMS (QCSD) and process smoothness factor based SAP predefined clustering (PSFSPC) algorithms, respectively. A prototype system called an intelligent web information system quality control (IWIS-QC) has been developed to trace the quality profiles of SAPs. Finally, a case study has been presented to illustrate and validate the proposed approach.

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Abbreviations

FAP:

Final assemble product

SAP:

Sub-assemble products

DMS:

Distributed manufacturing shop

Q :

The number of sub-assemble products

M :

The number of attributes

L :

The number of locations

T :

Time period duration

K :

The number of process

SAP lrk ::

The sub-process k of the sub-assemble product r in distributed manufacturing shop l

\({\mathop M\nolimits_{kt}^{lr} (i)}\) :

Quality measurement, at time t in distributed manufacturing shop l for process k of the sub-assemble product r on attribute i

\({\mathop \alpha \nolimits_{lrki}^t \quad}\) :

Quality value, at time t in distributed shop l for process k of the sub-assemble product r, on attribute i

\({\mathop \Theta \nolimits_k^{lr} (i)}\) :

Quality mean value for process k of the sub-assemble product r in distributed shop l on attribute i

\({\mathop \Theta \nolimits_k^r (i)}\) :

Quality mean value for process k of the sub-assemble product r on attribute i

\({\mathop \Phi \nolimits^{lr} (i)}\) :

Quality mean value of the attribute i associated to the sub-assemble product r in distributed shop l

\({\mathop \Phi \nolimits^r (i)}\) :

Quality mean value of the attribute i associated to the sub-assemble product r

S l :

The number of sub-assemble products that could be produced in location l

\({\mathop \Theta \nolimits_k^{lr} (i)}\) :

Quality mean value for each process of the SAP in DMS

\({\mathop \Theta \nolimits_k^r (i)}\) :

Quality mean value for each process of the SAP all over the company

\({\mathop \Phi \nolimits^{lr} (i)}\) :

Quality mean value for each attribute in DMS

\({\mathop \Phi \nolimits^r (i)}\) :

Quality mean value for each attribute all over the company

\({\mathop \omega \nolimits^{lr} (i)}\) :

Attribute/index smoothness factor

\({\mathop \theta \nolimits_i^- }\) :

Lower attribute/index threshold value

\({\mathop \theta \nolimits_i^+ }\) :

Upper attribute/index threshold value

\({\mathop \psi \nolimits_k^{lr} (i)}\) :

Process smoothness factor

\({\mathop \theta \nolimits_k^- }\) :

Lower process threshold values

\({\mathop \theta \nolimits_k^+ }\) :

Upper process threshold values

\({\mathop \mu \nolimits_k^{lr} (c)}\) :

Membership value for process k of the sub-assemble product r at cluster c

\({\mathop \mu \nolimits^{lr} (c)}\) :

SAPs membership values to each cluster

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Authors and Affiliations

  1. Mazandaran University of Science and Technology, Babol, Iran

    Navid Sahebjamnia & Iraj Mahdavi

  2. School of Business, Hanyang University, Seoul, South Korea

    Namjae Cho

Authors
  1. Navid Sahebjamnia
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  2. Iraj Mahdavi
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  3. Namjae Cho
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Correspondence to Iraj Mahdavi.

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Sahebjamnia, N., Mahdavi, I. & Cho, N. Designing a new model of distributed quality control for sub-assemble products based on the intelligent web information system. J Intell Manuf 21, 511–523 (2010). https://doi.org/10.1007/s10845-008-0210-5

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  • DOI: https://doi.org/10.1007/s10845-008-0210-5

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