Decision Support System for Designing Effective Noise Hazard Prevention Strategies

• Autorzy: Asawarungsaengkul K. , Nanthavanij S. , Chalidabhongse J.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

decision support system; noise hazard prevention; genetic algorithms; noise control; capital budgeting

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 2007
• Tom: Vol. 13, No. 4
• Strony: 451--470
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Asawarungsaengkul K.

• Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

autor

Nanthavanij S.

• Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

autor

Chalidabhongse J.

• Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

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