Abstract
The Optimization utilization of raw material and components is one of the main challenges in production and project management success. Executives usually face with waste and shortage of raw material which cause delay and cost, however the material and required components are usually provided more than needed. Therefore planning to provide these components from existing spools of material is one of these challenges especially when the number of the needed material pieces and the existing spools are high. For instance, in power plant projects cables are usually provided in form of spools which later cut down to required pieces in the project location. Extraction of each needed piece of cable from specific existing spool is a decision to be made. In this paper, a heuristic method based on integrating Integer Goal Programming and Taguchi Method is suggested to optimize cutting down process of these materials.
Similar content being viewed by others
References
Ahern A., Anandarajah G.: Railway projects prioritisation for investment: Application of goal programming. Transp. Policy. 14, 70–80 (2007)
Badri M., Mortagy A., Amr K., Alsayed A.: Multi-objective model for locating fire stations. Eur. J. Oper. Res. 110, 243–260 (1998)
Behboodian J.: Introductory Statistics and Probability. Astan Ghods Razavi, Mashhad (1995)
Cheng B.W., Chang C.L.: A study on flowshop scheduling problem combining Taguchi experimental design and genetic algorithm. Expert. Syst. Appl. 32, 415–421 (2007)
Chiang Y.M., Hsieh H.H.: The use of the Taguchi method with grey relational analysis to optimize the thin-film sputtering process with multiple quality characteristic in color filter manufacturing. Comput. Ind. Eng. 56, 648–661 (2009)
Fukukawa T., Chan Hong S.C.: The determination of the optimal number of kanbans in a Just-In-Time production System. Comput. Ind. Eng. 24, 551–559 (1993)
Ganguly S., Sahoo N.C., Das D.: A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation. Energy Syst. 1, 291–337 (2010)
Garcia F., Guijarro F., Moya I.: A goal programming approach to estimating performance weights for ranking firms. Comput. Oper. Res. 37, 1597–1609 (2010)
Hammons T.J., Naidoo P.: Africa—integrated gas and electricity transmission planning in power generation and HVDC engineering in harnessing large-scale hydroelectric sites for interconnected regional power systems. Energy Syst. 1, 79–112 (2010)
Hannah L., Powell W., Stewart J.: One-stage R&D portfolio optimization with an application to solid oxide fuel cells. Energy Syst. 1, 141–163 (2010)
Helseth A., Mo B., Warland G.: Long-term scheduling of hydro-thermal power systems using scenario fans. Energy Syst. 1, 377–391 (2010)
Homem-de-Mello T., Matos V.L., Finardi E.C.: Sampling strategies and stopping criteria for stochastic dual dynamic programming: a case study in long-term hydrothermal scheduling. Energy Syst. 2, 1–31 (2011)
Jahanshahloo G.R., Hosseinzadeh Lotfi F., Izadikhah M.: Extension of the TOPSIS method for decision-making problems with fuzzy data. Appl. Math. Comut. 181, 1544–1551 (2006)
Kilickap E.: Optimization of cutting parameters on delamination based on Taguchi method during drilling of GFRP composite. Expert. Syst. Appl. 37, 6116–6122 (2010)
Kuo Y., Yang T., Cho C., Tseng Y.C.: Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors. Math. Comput. Simulat 78, 40–56 (2008)
Kwak N.K., Lee C.W., Kim J.H.: An MCDM model for media selection in the dual consumer/industrial market. Eur. J. Oper. Res. 166, 255–265 (2005)
Lei Wu., Shahidehpour M.: Accelerating the Benders decomposition for network-constrained unit commitment problems. Energy Syst. 1, 339–376 (2010)
Lin J.L., Wang K.S., Yan B.H., Tarng Y.S.: Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics. J. Mater. Process. Technol. 102, 48–55 (2000)
Lohndorf N., Minner S.: Optimal day-ahead trading and storage of renewable energies—an approximate dynamic programming approach. Energy Syst. 1, 61–77 (2010)
Mehrgan M.R.: Advanced Operation Research. Ketab daneshgah, Tehran (2005)
Moulin L.S., Poss M., Sagastizábal C.: Transmission expansion planning with re-design. Energy Syst. 1, 113–139 (2010)
O’Neill R.P., Hedman K.W., Krall E.A., Papavasiliou A., Oren S.S.: Economic analysis of the N-1 reliable unit commitment and transmission switching problem using duality concepts. Energy Syst. 1, 165–195 (2010)
Pati R.K., Prem V., Kumar P.: A goal programming model for paper recycling system. Omega-Int. J. Manag. Sci. 36, 405–417 (2008)
Phananiramai P., Rosenberger J.M., Victoria C.P., Chen Kim S.B., Melanie L.S.: A mathematical optimization technique for managing selective catalytic reduction for coal-fired power plants. Energy Syst. 2, 171–188 (2011)
Raju K., Pillai C.R.S.: Multicriterion decision making in performance evaluation of an irrigation system. Eur. J. Oper. Res. 112, 479–488 (1999)
Rebennack S., Pardalos P.M., Pereira M.V.F., Iliadis N.A.: Handbook of Power Systems (vols. I & II). Springer, Heidelberg (2010)
Reyes P.M., Frazier G.V.: Goal programming model for grocery shelf space allocation. Eur. J. Oper. Res. 181, 634–644 (2007)
Rose p.: Taguchi Techniques for engineering. McGraw Hill, New York (1996)
Saad O.M., Sharif W.H.: Stability set for integer linear goal programming. Appl. Math. Comput. 153, 743–750 (2004)
Shin Kuo M., Gin S.L., Chih Huang W.: Extensions of the multi criteria analysis with pair wise comparison under a fuzzy environment. Int. J. Approx. Reason. 43, 268–275 (2006)
Syrcos G.P.: Die casting process optimization using Taguchi methods. J. Mater. Process. Technol. 135, 68–74 (2003)
Taha H.: Operation Research, An Introduction. Prentice Hall of India, New Delhi (2004)
Tamiz M., Mirrazavi S.K., Jones D.F.: Extensions of Pareto efficiency analysis to integer goal programming. Omega-Int. J. Manag. Sci. 27, 179–188 (1999)
Tan K.K., Tang K.Z.: Vehicle dispatching system based on Taguchi-tuned fuzzy rules. Eur. J. Oper. Res. 128, 545–557 (2001)
Tong L.I., Wang C.H., Chen C.C., Chen C.T.: Dynamic multiple responses by ideal solution analysis. Eur. J. Oper. Res. 156, 433–444 (2004)
Tsai C.S.: Evaluation and optimisation of integrated manufacturing system operations using Taguch’s experiment design in computer simulation. Comput. Ind. Eng. 43, 591–604 (2002)
Wang T.Y., Huang C.Y.: Improving forecasting performance by employing the Taguchi method. Eur. J. Oper. Res. 176, 1052–1065 (2007)
Yao A.W.L., Chi S.C.: Analysis and design of a Taguchi–grey based electricity demand predictor for energy management systems. Energ. Conv. Manag. 45, 1205–1217 (2004)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mohammadi, A., Sadeghi, M.r. & Razmjooei, D. A heuristic application of Integer Goal Programming and Taguchi Method for planning cable cutting process in power plant projects. Optim Lett 6, 1291–1302 (2012). https://doi.org/10.1007/s11590-011-0374-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11590-011-0374-3