Multi-criteria selection of manufacturing processes in the conceptual process planning

Process planning is one of the most difficult tasks in product development caused by the large number of technical, technological, economic, environmental and other criteria. Accordingly, the selection of manufacturing processes is a complex multi-criteria decision making problem since it considers a number of possible alternative manufacturing processes in addition to a large number of specified criteria. This paper represents the computer-aided methodology for the multi-criteria evaluation and selection of manufacturing processes at the stage of conceptual process planning. The developed methodology is primarily focused on the mapping of product design and manufacturing requirements. Manufacturing processes that fail to meet the given conditions on the basis of 10 criteria such as materials, production volume, productivity, dimensional accuracy, surface finish, etc., are eliminated according to the developed rules. Then, the multi-criteria evaluation and ranking of manufacturing processes is performed based on 5 criteria: manufacturing cycle time, process flexibility, material utilization, quality and operating costs. Based on this methodology, a system is developed for the multi-criteria selection of manufacturing processes, whose implementation is presented in the case of the hip joint endoprosthesis. © 2017 PEI, University of Maribor. All rights reserved.

[1]  Goran Šimunović,et al.  e-CAPP: A distributed collaborative system for internet-based process planning , 2017 .

[2]  Berend Denkena,et al.  Knowledge Management in Process Planning , 2007 .

[3]  Wang.  A simulation approach to the process planning problem using a modified particle swarm optimization , 2016 .

[4]  Goran Šimunović,et al.  Surface roughness assessing based on digital image features , 2016 .

[5]  Shaw C. Feng,et al.  A manufacturing process information model for design and process planning integration , 2003 .

[6]  Ronald E. Giachetti,et al.  A decision support system for material and manufacturing process selection , 1998, J. Intell. Manuf..

[7]  Richard Edgar Hodgett,et al.  Comparison of multi-criteria decision-making methods for equipment selection , 2015, The International Journal of Advanced Manufacturing Technology.

[8]  Julian D Booker,et al.  Process Selection: From Design to Manufacture , 1997 .

[9]  Tomislav Šarić,et al.  Estimation of Machining Time for CNC Manufacturing Using Neural Computing , 2016 .

[10]  Hong-Seok Park,et al.  An Energy Efficient Turning Process for Hardened Material with Multi-Criteria Optimization , 2016 .

[11]  Geoffrey Boothroyd,et al.  Product design for manufacture and assembly , 1994, Comput. Aided Des..

[12]  Wenlei Xiao,et al.  A complete CAD/CAM/CNC solution for STEP-compliant manufacturing , 2015 .

[13]  François Vernadat,et al.  Cost estimation in mechanical production: The Cost Entity approach applied to integrated product engineering , 2006 .

[14]  Miran Brezocnik,et al.  Intelligent CAD/CAM System for Programming of CNC Machine Tools , 2016 .

[15]  Von Dim Nguyen,et al.  Product design-process selection-process planning integration based on modeling and simulation , 2014, The International Journal of Advanced Manufacturing Technology.

[16]  Steven D. Eppinger,et al.  Improving product development process design: a method for managing information flows, risks, and iterations , 2011 .

[17]  Dana S. Nau,et al.  Automated manufacturability analysis: A survey , 1995 .

[18]  Michael F. Ashby,et al.  Cost estimates to guide pre-selection of processes , 2003 .

[19]  Carlo H. Séquin,et al.  The Manufacturing Advisory Service: Web-based process and material selection , 2003, Int. J. Comput. Integr. Manuf..

[20]  H. B. Marri,et al.  Implementation of computer‐integrated manufacturing in small and medium enterprises , 2003 .

[21]  Paul K. Wright,et al.  COMPASS: Computer oriented materials, processes, and apparatus selection system , 1998 .

[22]  Milan Zeljkovi,et al.  General Parametric Model of The Body of The Total Hip Endoprosthesis , 2014 .

[23]  Thangiah Selvaraj,et al.  OPTIMIZATION OF MACHINING PARAMETERS IN TURNING OPERATION USING COMBINED TOPSIS AND AHP METHOD , 2015 .

[24]  Kuang-Hua Chang.  Product Cost Estimating , 2015 .

[25]  S. Boral,et al.  A case-based reasoning approach for non-traditional machining processes selection , 2016 .

[26]  Constantin Chassapis,et al.  An IT view on perspectives of computer aided process planning research , 1997 .

[27]  Mirko Soković,et al.  Influence of Non-Productive Operations on Product Quality , 2016 .

[28]  W. A. Knight,et al.  Design for Manufacture: Expert Processing Sequence Selection for Early Product Design , 1992 .

[29]  Jyh-Cheng Yu,et al.  Computer-aided design for manufacturing process selection , 1993, J. Intell. Manuf..

[30]  J.-S. Wang,et al.  Analytic Hierarchy Process Based Decision Modelling in CAPP Development Tools , 1999 .

[31]  Franci Cus,et al.  Surface Roughness Control Simulation of Turning Processes , 2015 .

[32]  Xun Xu,et al.  Computer-aided process planning – A critical review of recent developments and future trends , 2011, Int. J. Comput. Integr. Manuf..

[33]  P. P. Dargie,et al.  MAPS-1: Computer-Aided Design System for Preliminary Material and Manufacturing Process Selection , 1982 .

[34]  R. Creese.  Introduction to manufacturing processes and materials , 1999 .