Set-up planning is an important part of computer-aided process planning and it has been tackled in a number of ways. A brief review of the literature in the area of set-up planning is presented. Considering the fact that set-up planning has to be carried out in an environment of uncertainty, particularly in feature precedence relations and datum selection, a fuzzy set-based expert system using a C language integrated production system shell is proposed for the machining of prismatic parts in this work. The proposed expert system has the capability to modify and adapt itself to the changes based on the shop-floor data. Adaptation to the changing scenario is a crucial factor in this era of lean and agile manufacturing. Traditional softwares for automating set-up planning are static in nature and they do not respond to the changes in the situation. The proposed expert system provides set-ups, sequence of operation within a set-up, primary datum for each set-up, and a checklist to be used on the shop floor for providing the appropriate feedback. The feedback is used for modifying the set-up plan in an appropriate way. The methodology is illustrated with the help of an example.
BoermaJ. R.KalsH. J. J., ‘Fixture design with FIXES: the automatic selection of positioning, clamping and support features for prismatic parts’Ann. CIRP38 (1981): 399–402.
2.
KanumuryM.ChangT. C., ‘Process planning in an automated manufacturing environment’Int. J. Mfg Systems10 (1991): 67–78.
3.
YoungR. I.BellR., ‘Fixturing strategies and geometric queries in set-up planning’Int. J. Prod. Res.29 (1991): 537–550.
4.
QiaoL. H.YangZ. B.WangH. P., ‘A computer-aided process planning methodology’Computers in Industry25 (1991): 83–94.
5.
HuangS. H.ZhangH., ‘Tolerance analysis in set-up planning for rotational parts’J. Mfg Systems15 (1991): 340–350.
6.
SarmaS. E.WrightP. K., ‘Algorithms for the minimization of set-ups and tool changes in 'simply fixturable components in milling'J. Mfg Systems15 (1991): 95–112.
7.
UsherJ. M.FernandesK. J., ‘A two-phased approach to dynamic process planning’Computers Ind. Engng31 (1991): 173–176.
8.
DemeyS.BrusselH. V.DerachaiH., ‘Determining set-ups for mechanical workpieces’Robotics and Computer-Integrated Mfg12 (1991): 195–205.
9.
WuH. C.ChangT. C., ‘Automated set-up selection in feature-based process planning’Int. J. Prod. Res.36 (1991): 695–712.
10.
ZhangH. C.LinE., ‘A hybrid graph approach for automated set-up planning in CAPP’Robotics and Computer-Integrated Mfg15 (1991): 89–100.
11.
KayaN.OzturkF., ‘Algorithms for grouping machining operations and planning workpiece location under dynamic machining conditions’Int. J. Prod. Res.39 (2002): 3329–3351.
12.
ZhangY.HuW.RongY.YenD. W., ‘Graph-based set-up planning and tolerance decomposition for computer-aided fixture design’Int. J. Prod. Res.39 (2002): 3109–3126.
13.
HuangS. H.LiuQ., ‘Rigorous application of tolerance analysis in set-up planning’Int. J. Advd Mfg Technol.3 (2002): 196–207.
14.
HuangS. H.XuN., ‘Automatic set-up planning for metal cutting: an integrated methodology’Int. J. Prod. Res.41 (2002): 4339–4356.
15.
HuangS. H.LiuQ.MusaR., ‘Tolerance-based process plan evaluation using Monte Carlo simulation’Int. J. Prod. Res.42 (2002): 4871–4891.
16.
XuN.HuangS. H., ‘Multiple attribute utility analysis in set-up plan evaluation’ASME J. Mfg Sci. Engng128 (2002): 220–227.
17.
LeeH. C.JheeW.C.ParkH. S., ‘Generative CAPP through projective feature recognition’Computers and Ind. Engng53 (2002): 241–246.
18.
YaoS.HanX.YangY.RongY.HuangS. H.YenD. W.ZhangG., ‘Computer aided manufacturing planning for mass customization: part 2, automated set-up planning’Int. J. Advd Mfg Technol.32 (2002): 205–217.
19.
HebbalS. S.MehtaN. K., ‘Set-up planning for machining the features of prismatic parts’Int. J. Prod. Res.46 (2002): 3241–3257.
20.
BansalS.NagarajanS.ReddyN. V., ‘An integrated fixture planning system for minimum tolerance’Int. J. Advd Mfg Technol.38 (2002): 501–513.
21.
CaiN.WangL.FengH. Y., ‘Adaptive set-up planning of prismatic parts for machine tools with varying configurations’Int. J. Prod. Res.46 (2002): 571–594.
22.
RameshbabuV.ShunmugamM. S., ‘Hybrid feature recognition method for set-up planning from STEP AP-203’Robotics and Computer-Integrated Mfg25 (2002): 393–408.
23.
KannanM.SahaJ., ‘A feature-based generic set-up planning for configuration synthesis of reconfigurable machine tools’Int. J. Advd Mfg Technol.43 (2002): 994–1009.
24.
JoshiS.VissaN. N.ChangT., ‘Expert process planning system with solid model interface’Int. J. Prod. Res.26 (1981): 863–885.
25.
WangH.WyskR. A., ‘A knowledge-based approach for automated process planning’Int. J. Prod. Res.26 (1981): 999–1014.
26.
SakuraiH., ‘Automatic set-up planning and fixture design in machining’J. Mfg Systems11 (1991): 30–37.
27.
GuptaS. K.RaoP. N.TewariN. K., ‘Development of a CAPP system for prismatic parts using feature based design concepts’Int. J. Advd Mfg Technol.7 (1991): 306–313.
28.
MasoodA.SrihariK., ‘RDCAPP: A real-time dynamic CAPP system for an FMS’Int. J. Advd Mfg Technol.8 (1991): 358–370.
29.
ZhangY. F.NeeA. Y. C.OngS. K., ‘A hybrid approach for set-up planning’Int. J. Advd Mfg Technol.10 (1991): 183–190.
30.
SabourinL.VilleneuveF., ‘OMEGA, an expert CAPP system’Adv. Engng Software25 (1991): 51–59.
31.
KimI.OhJ.ChoK., ‘Computer aided set-up planning for machining processes’Computers and Ind. Engng31 (1991): 613–617.
32.
JiangB.LauH.ChanF. T. S.JiangH., ‘An automatic process planning system for the quick generation of manufacturing process plans directly from CAD drawings’J. Mater. Processing Technol.87 (1991): 97–106.
33.
ParkS. C., ‘Knowledge capturing methodology in process planning’Computer-Aided Des.35 (2002): 1109–1107.
DebS.GhoshK., ‘An expert system based methodology for automating the set-up planning in computer-aided process planning for rotationally symmetrical parts’Int. J. Advd Mfg Systems10 (2002): 81–93.
36.
LiuZ.WangL., ‘Sequencing of interacting prismatic machining features for process planning’Computers in Industry58 (2002): 295–303.
37.
ChenC. L. P.StevenL. R., ‘Unsupervised neural learning for set-up generation in process planning’ In Proceedingsof International Conference on Artificial neural networks in engineering, Saint Louis, Missouri, (1993) pp. 663–668.
38.
MeiJ.ZhangH. C.OldhamW. J. B., ‘A neural networks approach for datum selection’Computers in Industry27 (1991): 53–64.
39.
ChenJ.ZhangY. F.NeeA. Y. C., ‘Set-up planning using Hopfield net and simulated annealing’Int. J. Prod. Res.36 (1991): 981–1000.
40.
MingX. G.MakK. L., ‘Intelligent set-up planning in manufacturing by the neural network based approach’J. Intell. Mfg11 (2002): 311–331.
41.
ChangC. A.AngkasithV., ‘Using Hopfield neural networks for operational sequencing for prismatic parts on NC machines’Engng Applic. Artif. Intell.14 (2002): 357–368.
42.
DebS.GhoshK.PaulS., ‘A neural network based methodology for machining operations selection in computer-aided process planning for rotationally symmetrical parts’J. Intell. Mfg17 (2002): 557–569.
43.
VanczaJ.MarkusA., ‘Experiments with the integration of reasoning, optimization and generalization in process planning’Adv. in Engng Software25 (1991): 29–39.
44.
ZhangF.ZhangY. F.NeeA. Y. C., ‘Using genetic algorithms in process planning for job shop machining’IEEE Trans. Evolutionary Comput.1 (1991): 278–289.
45.
ShunmugamM. S.ReddyS. V. BhaskaraNarendranT. T., ‘Selection of optimal conditions in multi-pass face-milling using a genetic algorithm’Int. J. Mach. Tools Mf.40 (2002): 401–414.
46.
ShunmugamM. S.MaheshPBhaskara ReddyS. V., ‘A method of preliminary planning for rotational components with C-axis features using genetic algorithm’Computers in Industry48 (2002): 199–217.
47.
BoZ. W.HuaL. Z.YuZ. G., ‘Optimization of process route by genetic algorithms’Robotics and Computer-Integrated Mfg22 (2002): 180–188.
48.
PanlangL. V.ZhuC., ‘On process planning: an ant algorithm based approach’ In Proceedings of the IEEE International Conference on Mechatronics and automation, Niagara Falls, Canada, July 2005, pp. 1412–1415.
49.
KrishnaA. G.RaoK. M., ‘Optimisation of operations sequence in CAPP using an ant colony algorithm’Int. J. Advd Mfg Technol.29 (2002): 159–164.
50.
GuoY. W.Li MilehamW. D. A. R.OwenG. W., ‘Application of particle swarm optimization in integrated process planning and scheduling’Robotics and Computer-Integrated Mfg25 (2002): 280–288.
51.
GuoY. W.MilehamA. R.OwenG. W.MaropoulosP. G.LiW. D., ‘Operation sequencing optimization for five-axis prismatic parts using a particle swarm optimization approach’Proc. IMechE, Part B: J. Engineering Manufacture223 (5) (2009): 485–497 DOI: 10.1243/09544054JEM1224.
52.
OngS. K.NeeA. Y. C., ‘Application of fuzzy set theory to set-up planning’Ann. CIRP43 (1991): 137–144.
53.
OngS. K.NeeA. Y. C., ‘Process modelling and formulation for the development of an intelligent set-up planning system’Proc. IMechE, Part B: J Engineering Manufacture209 (1991): 455–467 DOI:.
54.
OngS. K.NeeA. Y. C., ‘Fuzzy-set-based approach for concurrent constraint set-up planning’J. Intell. Mfg7 (1991): 107–120.
55.
ZhangH. C.HuangS. H., ‘A fuzzy approach to process plan selection’Int. J. Prod. Res.32 (1991): 1265–1279.
GuZ.ZhangY. F.NeeA. Y. C., ‘Identification of important features for machining operations sequence generation’Int. J. Prod. Res.35 (1991): 2285–2307.
58.
WuR.ZhangH., ‘Object-oriented and fuzzy-set-based approach for set-up planning’Int. J. Advd Mfg Technol.14 (1991): 406–411.
59.
WongT. N.ChanL. C. F.LauH. C. W., ‘Machining process sequencing with fuzzy expert system and genetic algorithms’Engng with Computers19 (2002): 191–202.
60.
OngS. K.NeeA. Y. C., ‘A systematic approach for analyzing the fixturability of parts for machining’Trans. ASME, J. Mfg Sci. Engng120 (1991): 401–408.
61.
HazarikaM.DebS.BiswalD. K., ‘An expert system based computer-aided process planning methodology for set-up planning of machined prismatic parts’ In Proceedings of the 2nd International and 23rd AIMTDR Conference on Competitive manufacturing, IIT, Chennai, India, (2008), pp. 1049–1054.
62.
GiarratanoJ.C., Expert systems: Principles and programming (Boston: PWS Publishers1998).
63.
PalP.TiggaA. M.KumarA., ‘A strategy for machining interacting features using spatial reasoning’Int. J. Mach. Tools Mf.45 (2002): 269–278.
64.
DixitP. M.DixitU. S., Modeling of metal forming and machining processes (London: Springer Verlag2008).
65.
KoS. L.ChangJ. E.YangG. E., ‘Burr minimizing scheme in drilling’J. Mater. Processing Technol.140 (2002): 237–242.
66.
KumarS., ‘Basic approach to a prediction system for burr formation in face milling’SME J. Mfg Processes5 (2002): 127–142.
67.
ChuC. H.DornfeldD., ‘Geometric approaches for reducing burr formation in planar milling by avoiding tool exits’SME J. Mfg Processes7 (2002): 182–194.
68.
ChernG. L., ‘Experimental observation and analysis of burr formation mechanisms in face milling of aluminum alloys’Int. J. Mach. Tools Mf.46 (2002): 1517–1525.
69.
OnwuboluG. C., ‘Prediction of burr formation during face milling using a hybrid GMDH network model with optimized cutting conditions’Int. J. Advd Mfg Technol.44 (2002): 1083–1093.
