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A decision support system for designing effective noise hazard prevention (NHP) strategies is proposed. NHP consists of four modules: (a) database, (b) input, (c) algorithms, and (d) solution. The user can choose among single-, two-, and three-approach solution procedures. Heuristic and genetic algorithms are used to determine appropriate noise controls (NCs). From the given noise condition and NC budget, NHP recommends a minimum-cost NHP strategy that prevents any worker’s daily noise exposure from exceeding the permissible level. If the budget is insufficient, NHP is able to search for a feasible noise hazard strategy that requires a minimum NC budget.
Wydawca
Rocznik
Tom
Strony
451--470
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
autor
- Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand
autor
- Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand
autor
- Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand
Bibliografia
- 1.Harris CM. Handbook of noise control. New York, NY, USA: McGraw-Hill; 1979.
- 2.Beranek LL, Vér IL. Noise and vibration control engineering, principles and applications. New York, NY, USA: Wiley; 1992.
- 3.Cheremisinoff PN. Industrial noise control. Englewood Cliffs, NJ, USA: Prentice Hall; 1993.
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- 5.Wilson CE. Noise control, measurement, analysis, and control of sound and vibration. Malabar, FL, USA: Krieger; 1994.
- 6.Bies DA, Hansen CH. Engineering noise control, theory and practice. London, UK: Chapman & Hall; 1996.
- 7.Nanthavanij S, Yenradee P. Analytical determination of worker assignment with workplace noise consideration. In: Dessouky MI, editor. C&IE 1999: Proceedings of the 25th International Conference on Computers and Industrial Engineering. New Orleans, LO, USA: Computers and Industrial Engineering; 1999. p. 411–4.
- 8.Nanthavanij S, Kullpattaranirun T. A genetic algorithm approach to determine minimax work assignments. Int J Ind Eng-Theory. 2001;8;176–85.
- 9.Kullpattaranirun T, Nanthavanij S. A heuristic genetic algorithm for solving complex safety-based work assignment problems. Int J Ind Eng-Theory. 2005;12;43–55.
- 10.Yaoyuenyong K, Nanthavanij S. A modified LPT swap heuristic for solving large minimax work assignment problems. Ind Eng Manage Syst. 2003;2(2):121–30.
- 11.Nanthavanij S, Yenradee P. Minimum number of workers and their daily work assignment to operate n noisy machines based on permissible noise exposure limit. In: Chern MS, Sheu DD, Wang MJ, editors. IJIE 2000: Proceeding of the 5th Annual Conference on Industrial Engineering-Theory, Applications and Practice [CDROM]. Hsinchu, Taiwan; Industrial Engineering-Theory, Applications and Practice; 2000.
- 12.Behar A, Kunov H. Insertion loss from using double protection. Appl Acoust. 1999;57(4):375–85.
- 13.Crabtree RB, Behar A. Measurement of hearing protector insertion loss at ultrasonic frequencies. Appl Acoust. 2000;59(3):287–99.
- 14.Birch RS, Gerges SN, Vergara EF. Design of a pulse generator and shock tube for measuring hearing protector attenuation of high amplitude impulsive noise. Appl Acoust. 2003;64(3):269–86.
- 15.Buchweiller JP, Mayer A, Klein R, Iotti JM, Kusy A, Reinert D, Christ E. Safety of electronic circuits integrated into personal protective equipment (PPE). Safety Sci. 2003;41(5):395–408.
- 16.Feeney RJ. Why is there resistance to wearing protective equipment at work? Possible strategies for overcoming this. J Occup Accid. 1986;8(3):207–13.
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- 19.Sutton P. Process plant noise: evaluation and control. Appl Acoust. 1976;9(1):17-33.
- 20.Asawarungsaengkul K, Nanthavanij S. Design of optimal noise hazard control strategy with budget constraint. International Journal of Occupational Safety and Ergonomics (JOSE). 2006;12(4):355–67.
- 21.Young LF. Decision support systems for workers: a bridge to advancing productivity. Inform Manage. 1989;16:131–40.
- 22.Ntuen CA, Winchester WW, Chestnut J, Park, EH. PASIM: a spreadsheet-based decision support system for performance analysis of production workers. Comput Ind Eng. 1994;27(1–4):193–6.
- 23.Jaturanonda C, Nanthavanij S, Chalidabhongse J. Analytic-based decision support system for employee-job assignment based on competency and job preference (working paper No. MT-0503). Pathumthani, Thailand: Sirindhorn International Institute of Technology, Thammasat University; 2005.
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- 29.Chaudhry SS, Salchenberger L, Beheshtian M. A small business inventory DSS: design, development, and implementation issues. Comput Op Res. 1996;23(1):63–72.
- 30.Kim SH, Lee KK. An optimization-based decision support system for ship scheduling. Comput Ind Eng. 1997;33(3–4):689–92.
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- 32.Kengpol A. Design of a decision support system to evaluate the investment in a new distribution centre. Int J Prod Econ. 2004;90:59–70.
- 33.Olishifski JB, Standard JJ. Industrial noise. In: Plog BA, editor. Fundamentals of industrial hygiene. 3rd ed. Itasca, IL, USA: National Safety Council; 1998.
- 34.Asfahl C Ray. Industrial safety and health management. 4th ed. Upper Saddle River, NJ, USA: Prentice Hall; 1999.
- 35.Goetsch DL. Occupational safety and health for technologists, engineers, and managers. 5th ed. Upper Saddle River, NJ, USA: Prentice Hall; 2005.
- 36.Asawarungsaengkul K, Nanthavanij S. Analytical procedures for designing an optimal noise hazard prevention program. Ind Eng Manage Syst. 2005;4(2):165–75.
- 37.Asawarungsaengkul K, Nanthavanij S. A genetic algorithm approach to the selection of engineering controls for optimal noise reduction. ScienceAsia. 2007;33:89–101.
- 38.Yaoyuenyong S, Nanthavanij S. Hybrid procedure to determine optimal workforce without noise hazard exposure. Comput Ind Eng. 2006;51:743–64.
- 39.Asawarungsaengkul K, Nanthavanij S. Heuristic GA for workforce scheduling with minimum total worker–location changeover (working paper No. MT-0605). Pathumthani, Thailand: Sirindhorn International Institute of Technology, Thammasat University; 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-80161206-cb33-4098-b94a-539b5a5f586a