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Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis

Jin, Shengzhe
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039

Abstract Details

2010, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
The consumer goods industry is characterized by high volume, high-throughput production. A quality assessment phase must go through before a routine production starts. This phase is consisted of inspecting a set of quality attributes to meet predefined requirements. All attributes must pass the inspection before the quality assessment process completes. The inspection can be queued into a sequence to be processed by workers; however, a good arrangement of the sequence (to reduce the makespan of quality assessment phase) faces challenges due to the following issues: 1) Different inspection method. 2) Dependency and interdependency relation among attributes 3) The availability of resources 4) The changes of failure probability each round when conducting inspection CPM and PERT are proven techniques that can be used to manage a project, but the existence of interdependencies may cause iterations that would greatly reduce the effectiveness of CPM and PERT in planning an inspection project. The DSM (Design Structure Matrix) method can effectively model the dependency and interdependency relations, such that it can arrange the sequence in a way that minimizes task iterations. However, DSM cannot optimized the sequence of the attributes within a block, especially when a block is consists of many attributes; the sequence within a block can play a key role in determining the total makespan of an inspection project. In this thesis, DSM is applied to the process of quality assessment, to reduce the makespan. A new sequence generation method is developed to optimize the sequence of attributes inspection within a block. A Resource Constrained Sequence is developed to deal with resource limitations. A simulation tool that can simulate the sequences is developed. A case study is conducted to compare the performance of the proposed methodology with other three techniques.
Hongdao Huang, PhD (Committee Chair)
David Thompson, PhD (Committee Member)
Masoud Ghaffari, PhD (Committee Member)
75 p.
Industrial Engineering
DSM; Sequence; Resource Constraint

Recommended Citations

Citations

  • Jin, S. (2010). Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039

    APA Style (7th edition)

  • Jin, Shengzhe. Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis. 2010. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039.

    MLA Style (8th edition)

  • Jin, Shengzhe. "Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis." Master's thesis, University of Cincinnati, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1292518039

    Chicago Manual of Style (17th edition)

ucin1292518039
477
© 2010, some rights reserved.Creative Commons License Quality Assessment Planning Using Design Structure Matrix and Resource Constraint Analysis by Shengzhe Jin is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.