Development of a multi-attribute selection procedure for non-traditional machining processes

Abstract The uncertainties regarding the capabilities, the large number of alternatives offered, the lack of versatility and the shortage of experienced planners of non-traditional machining processes (NTMPs) require the development of a structured process selection procedure. In this paper, a multi-attribute selection procedure is presented to help manufacturing personnel in determining suitable NTMPs for given application requirements. The selection procedure first enables the user to narrow down the list of NTMPs to a short list containing feasible processes. Then, the procedure ranks the feasible NTMPs according to their suitability for the desired application. In ranking the feasible alternatives, the selection procedure uses a combination of two multi-attribute decision-making tools, namely the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS). For use in the selection procedure, possible shape applications performed by the processes, process technical capabilities and attributes necessary to measure the performance of processes are developed. Many industrial case studies are introduced to examine the dependability of the developed approach, and successful results are obtained.

[1]  Patrick T. Harker,et al.  Measuring aggregate process performance using AHP , 1999, Eur. J. Oper. Res..

[2]  T. Boucher,et al.  Multiattribute Evaluation within a Present Value Framework and its Relation to the Analytic Hierarchy Process , 1991 .

[3]  V. P. Agrawal,et al.  Computer aided robot selection: the ‘multiple attribute decision making’ approach , 1991 .

[4]  Raymond Snoeys,et al.  Current Trends in Non-Conventional Material Removal Processes , 1986 .

[5]  Andrea Rangone,et al.  An analytical hierarchy process framework for comparing the overall performance of manufacturing departments , 1996 .

[6]  Jiaqin Yang,et al.  AN AHP DECISION MODEL FOR FACILITY LOCATION SELECTION , 1997 .

[7]  Can Cogun Computer-aided preliminary selection of nontraditional machining processes , 1994 .

[8]  Lesley Davis,et al.  Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process , 1994 .

[9]  W. G. Sullivan,et al.  Capital Investment Analysis For Engineering And Management , 1995 .

[10]  Heeseok Lee,et al.  DEVELOPING A BUSINESS PERFORMANCE EVALUATION SYSTEM: AN ANALYTIC HIERARCHICAL MODEL , 1995 .

[11]  Heng Li,et al.  Analytic hierarchy process , 2001 .

[12]  Zone-Ching Lin,et al.  Evaluation of machine selection by the AHP method , 1996 .

[13]  Jian-Bo Yang,et al.  Multiple Criteria Decision Support in Engineering Design , 1998 .

[14]  Roger N. Wabalickis Justification of FMS with the analytic hierarchy process , 1988 .

[15]  Srinivas Talluri,et al.  A cone-ratio DEA approach for AMT justification , 2000 .

[16]  Neelesh Kumar Jain,et al.  Modeling of material removal in mechanical type advanced machining processes: a state-of-art review , 2001 .