Conceptual process planning - an improvement approach using QFD, FMEA, and ABC methods

  • Authors:
  • Alaa Hassan;Ali Siadat;Jean-Yves Dantan;Patrick Martin

  • Affiliations:
  • LCFC Laboratory, Arts et Métiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz, France and Mechatronic Engineering Department, HISAT, Barza, Damascus, Syria;LCFC Laboratory, Arts et Métiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz, France;LCFC Laboratory, Arts et Métiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz, France;LCFC Laboratory, Arts et Métiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz, France

  • Venue:
  • Robotics and Computer-Integrated Manufacturing
  • Year:
  • 2010

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Abstract

Conceptual process planning (CPP) is an important technique for assessing the manufacturability and estimating the cost of conceptual design in the early product design stage. This paper presents an approach to develop a quality/cost-based conceptual process planning (QCCPP). This approach aims to determine key process resources with estimation of manufacturing cost, taking into account the risk cost associated to the process plan. It can serve as a useful methodology to support the decision making during the initial planning stage of the product development cycle. Quality function deployment (QFD) method is used to select the process alternatives by incorporating a capability function for process elements called a composite process capability index (CCP). The quality characteristics and the process elements in QFD method have been taken as input to complete process failure mode and effects analysis (FMEA) table. To estimate manufacturing cost, the proposed approach deploys activity-based costing (ABC) method. Then, an extended technique of classical FMEA method is employed to estimate the cost of risks associated to the studied process plan, this technique is called cost-based FMEA. For each resource combination, the output data is gathered in a selection table that helps for detailed process planning in order to improve product quality/cost ratio. A case study is presented to illustrate this approach.