1999
DOI: 10.1016/s0169-8141(98)00059-6
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Predicting the optimum number, location, and signal sound level of auditory warning devices for manufacturing facilities

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Cited by 30 publications
(19 citation statements)
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“…Studies about the locating have a long research history and are related to many different research areas, including research in operations, industrial engineering, geography, economics, computer science, mathematics, marketing, power engineering and urban planning (Cheng & Li, 2004 (Nanthavanij & Yenradee, 1999).…”
Section: Locatingmentioning
confidence: 99%
“…Studies about the locating have a long research history and are related to many different research areas, including research in operations, industrial engineering, geography, economics, computer science, mathematics, marketing, power engineering and urban planning (Cheng & Li, 2004 (Nanthavanij & Yenradee, 1999).…”
Section: Locatingmentioning
confidence: 99%
“…The solution will provide the locations of individual alarm devices and the signal sound level of the alarm device. For more details on the model formulation, see Nanthavanij and Yenradee [13].…”
Section: Alarm Location Model (With Unknown Signal Sound Level)mentioning
confidence: 99%
“…The method, however, is limited to only single alarm location problems. Later, Nanthavanij and Yenradee proposed an analytical method for predicting an optimal number, location, and signal sound level of alarm devices [13]. The alarm location problem was formulated as a nonlinear programming problem and can be solved with appropriate optimization software tools.…”
Section: Introductionmentioning
confidence: 99%
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“…The conventional approaches to location selection include heuristics [30], integer programming [31], nonlinear programming [32], multi-objective goal programming [33], analog approach [34], Analytic Hierarchy Process [35], multi-attribute utility method [36], multiple regression analysis [37] and other. According to [29] these approaches can only provide a set of systematic steps for problem solving without considering the relationships between the decisions factors globally.…”
Section: Introductionmentioning
confidence: 99%