Pub Date : 2012-03-01DOI: 10.1080/10170669.2012.663796
C. Lu
This research deals with the path-based system optimal dynamic traffic assignment (SODTA) problem with uncertain demands that are assumed to be bounded by a prescribed uncertainty set. A robust optimization approach is adopted to address this problem. The objective is to minimize the total network travel time under the worst-case scenario defined by a pre-determined demand uncertainty set. We formulate the robust counterpart optimization problem of SODTA for a general uncertainty set and show that solving the robust SODTA problem is not more difficult than solving the deterministic SODTA problem for some specific types of uncertainty set. Moreover, a column generation-based algorithmic framework that embeds a scaled gradient projection algorithm is proposed to solve the SODTA problem. Numerical experiments were conducted to demonstrate the effectiveness of the algorithm and to examine the impact of different types of demand uncertainty set on solution quality.
{"title":"Robust optimization approach for system optimal dynamic traffic assignment with demand uncertainty","authors":"C. Lu","doi":"10.1080/10170669.2012.663796","DOIUrl":"https://doi.org/10.1080/10170669.2012.663796","url":null,"abstract":"This research deals with the path-based system optimal dynamic traffic assignment (SODTA) problem with uncertain demands that are assumed to be bounded by a prescribed uncertainty set. A robust optimization approach is adopted to address this problem. The objective is to minimize the total network travel time under the worst-case scenario defined by a pre-determined demand uncertainty set. We formulate the robust counterpart optimization problem of SODTA for a general uncertainty set and show that solving the robust SODTA problem is not more difficult than solving the deterministic SODTA problem for some specific types of uncertainty set. Moreover, a column generation-based algorithmic framework that embeds a scaled gradient projection algorithm is proposed to solve the SODTA problem. Numerical experiments were conducted to demonstrate the effectiveness of the algorithm and to examine the impact of different types of demand uncertainty set on solution quality.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130375172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-03-01DOI: 10.1080/10170669.2012.660200
Chen-Fu Chien, Kuo-Yi Lin
Hsinchu Science Park (HSP) is a high-tech cluster where semiconductor industry plays a decisive role in Taiwan's economy as well as global supply chains. Semiconductor industry is capital intensive, in which capacity utilization significantly affects the capital effectiveness and profitability of semiconductor companies. Thus, demand forecasting provides critical input to support strategic decisions of capacity planning and the associated capital expenditure that require long lead-time. This study aims to predict the sales of semiconductor industry in HSP as a reference signal for supporting the decisions of individual companies and the government to maintain a healthy ecosystem. Empirical data of semiconductor industry in HSP from 1983 to 2010 was collected and analyzed. Furthermore, this study incorporated historical events to adjust the prediction. The results have shown practical viability of this research to support companies to improve the demand forecast as well as to make strategic decisions for semiconductor ecosystem as a whole.
{"title":"Manufacturing intelligence for Hsinchu Science Park semiconductor sales prediction","authors":"Chen-Fu Chien, Kuo-Yi Lin","doi":"10.1080/10170669.2012.660200","DOIUrl":"https://doi.org/10.1080/10170669.2012.660200","url":null,"abstract":"Hsinchu Science Park (HSP) is a high-tech cluster where semiconductor industry plays a decisive role in Taiwan's economy as well as global supply chains. Semiconductor industry is capital intensive, in which capacity utilization significantly affects the capital effectiveness and profitability of semiconductor companies. Thus, demand forecasting provides critical input to support strategic decisions of capacity planning and the associated capital expenditure that require long lead-time. This study aims to predict the sales of semiconductor industry in HSP as a reference signal for supporting the decisions of individual companies and the government to maintain a healthy ecosystem. Empirical data of semiconductor industry in HSP from 1983 to 2010 was collected and analyzed. Furthermore, this study incorporated historical events to adjust the prediction. The results have shown practical viability of this research to support companies to improve the demand forecast as well as to make strategic decisions for semiconductor ecosystem as a whole.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122747685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1080/10170669.2012.654828
Hong-Fwu Yu, W. Hsu
The main purpose of this article is to investigate an economic ordering quantity model with imperfect quality under an announced price increase. It is assumed that a 100% inspection process is conducted to screen out the defectives contained in the received lot, and the defectives thus screened out will be returned to the vendor immediately. In practice, the mechanism of returning defectives to the vendor immediately may result from the increasingly exerted power of retailers, the need of satisfying strict quality requirement of customers, or the limitation of the storage space of retailers. Besides, the mechanism of immediate return usually indicates a promise of the vendor to his/her customers and is used to highlight the vendor's confidence in his/her products. The optimal ordering policies associated with three kinds of effective times of the price increase are obtained. A numerical example is then provided to illustrate the proposed model. The results indicate that the optimal special ordering quantity and the corresponding saving cost for an increase in price are both increasing with the increment of the price. For any price increase, both of the optimal special ordering quantity and the corresponding saving cost are negatively related to the remnant stock level at the time that the price increase is effective.
{"title":"An EOQ model with immediate return for imperfect items under an announced price increase","authors":"Hong-Fwu Yu, W. Hsu","doi":"10.1080/10170669.2012.654828","DOIUrl":"https://doi.org/10.1080/10170669.2012.654828","url":null,"abstract":"The main purpose of this article is to investigate an economic ordering quantity model with imperfect quality under an announced price increase. It is assumed that a 100% inspection process is conducted to screen out the defectives contained in the received lot, and the defectives thus screened out will be returned to the vendor immediately. In practice, the mechanism of returning defectives to the vendor immediately may result from the increasingly exerted power of retailers, the need of satisfying strict quality requirement of customers, or the limitation of the storage space of retailers. Besides, the mechanism of immediate return usually indicates a promise of the vendor to his/her customers and is used to highlight the vendor's confidence in his/her products. The optimal ordering policies associated with three kinds of effective times of the price increase are obtained. A numerical example is then provided to illustrate the proposed model. The results indicate that the optimal special ordering quantity and the corresponding saving cost for an increase in price are both increasing with the increment of the price. For any price increase, both of the optimal special ordering quantity and the corresponding saving cost are negatively related to the remnant stock level at the time that the price increase is effective.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128553511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1080/10170669.2012.656329
J. Lee, Ping-Teng Chang
Numerous techniques have been proposed for handling almost all kinds of constraints in searching for solutions to constrained optimization problems. Among these methods, penalty function has been the most commonly used approach. However, a drawback of the penalty function method lies in the difficulty of setting adequate penalty factors. Thus, due to the unavailability of appropriate penalty factors, the factor-free penalty function is created to decide penalties directly by the severities of constraint violations, and is expected to capture the distance to feasibility without any user-defined factors. However, although various factor-free penalty functions have been developed, a formal comparison of these functions is short. Therefore, in order to have a clearer picture of the factor-free penalty functions and their performances, this article surveys and compares the factor-free penalty functions proposed in prior literature, and performs a numerical comparison of these (nine) functions by applying the genetic algorithm on a collection of 37 popular test problems.
{"title":"A survey and numerical comparison of factor-free penalty function constraint-handling techniques in genetic algorithms","authors":"J. Lee, Ping-Teng Chang","doi":"10.1080/10170669.2012.656329","DOIUrl":"https://doi.org/10.1080/10170669.2012.656329","url":null,"abstract":"Numerous techniques have been proposed for handling almost all kinds of constraints in searching for solutions to constrained optimization problems. Among these methods, penalty function has been the most commonly used approach. However, a drawback of the penalty function method lies in the difficulty of setting adequate penalty factors. Thus, due to the unavailability of appropriate penalty factors, the factor-free penalty function is created to decide penalties directly by the severities of constraint violations, and is expected to capture the distance to feasibility without any user-defined factors. However, although various factor-free penalty functions have been developed, a formal comparison of these functions is short. Therefore, in order to have a clearer picture of the factor-free penalty functions and their performances, this article surveys and compares the factor-free penalty functions proposed in prior literature, and performs a numerical comparison of these (nine) functions by applying the genetic algorithm on a collection of 37 popular test problems.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125599731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1080/10170669.2011.653994
Fong-Fan Wang
In this article, we use a quasi-birth-and-death (QBD) modeling approach to model queueing-inventory systems with a single removable server. We consider both finite and infinite queueing capacities. Breakdowns and start-up times are also taken into account. All stochastic times are allowed to be general distributions except for the breakdown intervals, which are assumed to be exponential. The general distributions are approximated by phase type representations, resulting in the matrix-algebraic approach to derive the probability vector of the queue length. Some performance measures of interest are obtained by using both hybrid and standard procedures to solve the proposed QBD models. An optimal control policy based on a two-critical number approach using some convexity properties is proposed and its validity is verified through extensive numeric studies.
{"title":"A generic modeling framework for queueing-inventory systems with a single removable server","authors":"Fong-Fan Wang","doi":"10.1080/10170669.2011.653994","DOIUrl":"https://doi.org/10.1080/10170669.2011.653994","url":null,"abstract":"In this article, we use a quasi-birth-and-death (QBD) modeling approach to model queueing-inventory systems with a single removable server. We consider both finite and infinite queueing capacities. Breakdowns and start-up times are also taken into account. All stochastic times are allowed to be general distributions except for the breakdown intervals, which are assumed to be exponential. The general distributions are approximated by phase type representations, resulting in the matrix-algebraic approach to derive the probability vector of the queue length. Some performance measures of interest are obtained by using both hybrid and standard procedures to solve the proposed QBD models. An optimal control policy based on a two-critical number approach using some convexity properties is proposed and its validity is verified through extensive numeric studies.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1080/10170669.2011.654132
Y. Lio, Tzong-Ru Tsai, Jyun-You Chiang
The breaking strength information of structure components is highly correlated with the safety manufacturing and much concerned by engineers. Components with deficient safety quality will be rejected to rework or discard due to an unsatisfactory level of the lower critical breaking strength percentile. When the breaking strength of components is assumed to have a Burr type-XII distribution, five parametric bootstrap methods are suggested to adjust the bias of the lower confidence limit estimate of the lower percentile with progressive type-II censored samples. The performance of the proposed bootstrap methods is evaluated through an intensive simulation study. Numerical results show that the hybrid bootstrap method and the bias-corrected and accelerated bias-corrected methods perform better with coverage probabilities near the nominal confidence level for almost all the cases considered. An example of the breaking strength data set of aluminum sheets is used for illustration.
{"title":"Estimation on the lower confidence limit of the breaking strength percentiles under progressive type-II censoring","authors":"Y. Lio, Tzong-Ru Tsai, Jyun-You Chiang","doi":"10.1080/10170669.2011.654132","DOIUrl":"https://doi.org/10.1080/10170669.2011.654132","url":null,"abstract":"The breaking strength information of structure components is highly correlated with the safety manufacturing and much concerned by engineers. Components with deficient safety quality will be rejected to rework or discard due to an unsatisfactory level of the lower critical breaking strength percentile. When the breaking strength of components is assumed to have a Burr type-XII distribution, five parametric bootstrap methods are suggested to adjust the bias of the lower confidence limit estimate of the lower percentile with progressive type-II censored samples. The performance of the proposed bootstrap methods is evaluated through an intensive simulation study. Numerical results show that the hybrid bootstrap method and the bias-corrected and accelerated bias-corrected methods perform better with coverage probabilities near the nominal confidence level for almost all the cases considered. An example of the breaking strength data set of aluminum sheets is used for illustration.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127893440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-01-01DOI: 10.1080/10170669.2012.655783
Ming-Jong Yao, Shih-Chieh Chen, Yu-Jen Chang, T. Tseng
The focus of this study is to solve the Economic Lot and Inspection Scheduling Problem (ELISP) using the Extended Basic Period (EBP) approach under Power-of-Two (PoT) policy. The objective of the ELISP is to determine an optimal cycle time and an optimal production and inspection schedule so as to minimize the total cost per unit time. Under PoT policy, we formulate a mathematical model by taking into account the constraints for both production and inspection capacities. Also, we propose a Hybrid Genetic Algorithm (HGA) which is equipped with a search algorithm that not only seeks to improve solution quality, but also assures a feasible solution for each chromosome obtained from the evolutionary processes. Our numerical experiments show that the proposed HGA effectively solves the ELISP using the EBP approach, and its solutions outperform the solutions from the ELISP using the Common Cycle approach.
{"title":"Solving the Economic Lot and Inspection Scheduling Problem using the Extended Basic Period approach under Power-of-Two policy","authors":"Ming-Jong Yao, Shih-Chieh Chen, Yu-Jen Chang, T. Tseng","doi":"10.1080/10170669.2012.655783","DOIUrl":"https://doi.org/10.1080/10170669.2012.655783","url":null,"abstract":"The focus of this study is to solve the Economic Lot and Inspection Scheduling Problem (ELISP) using the Extended Basic Period (EBP) approach under Power-of-Two (PoT) policy. The objective of the ELISP is to determine an optimal cycle time and an optimal production and inspection schedule so as to minimize the total cost per unit time. Under PoT policy, we formulate a mathematical model by taking into account the constraints for both production and inspection capacities. Also, we propose a Hybrid Genetic Algorithm (HGA) which is equipped with a search algorithm that not only seeks to improve solution quality, but also assures a feasible solution for each chromosome obtained from the evolutionary processes. Our numerical experiments show that the proposed HGA effectively solves the ELISP using the EBP approach, and its solutions outperform the solutions from the ELISP using the Common Cycle approach.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-12-01DOI: 10.1080/10170669.2011.651166
Jack C. P. Su, Yih-Long Chang, J. C. Ho
Managing the overlapping of product development activities effectively is paramount to shortening lead-time; and hence, it is an important issue in new product development and has been widely studied. To the best of our knowledge, the literature has not yet addressed the topic of maximizing the product-development outcome by overlapping. In this article, a dynamic optimal control model is developed to maximize total profit of the product-development project. The closed form solutions are found, from which managerial insights are derived. Using two parameters, namely, evolution speed (slow and fast) and sensitivity (high and low), we create and examine four environments in our study – slow and high (SH), fast and high (FH), slow and low (SL), and fast and low (FL). Findings are obtained and organized into a framework to help with the management of product-development activities. We find that in most difficult environment, SH, the firm should invest in downstream activities lightly; while in the easiest environment, FL, the firm should invest heavily in downstream activities. In environment FH, the firm should postpone the investment in downstream activities to a later stage, start at a lower level, and increase efforts later at a faster pace. On the other hand, in environment SL, the firm should invest earlier, start at a higher level, and increase efforts at a slower pace. Finally, we develop the conditions and scenarios under which the final results and profits will be higher.
{"title":"Framework of overlapping product development activities to maximize profit","authors":"Jack C. P. Su, Yih-Long Chang, J. C. Ho","doi":"10.1080/10170669.2011.651166","DOIUrl":"https://doi.org/10.1080/10170669.2011.651166","url":null,"abstract":"Managing the overlapping of product development activities effectively is paramount to shortening lead-time; and hence, it is an important issue in new product development and has been widely studied. To the best of our knowledge, the literature has not yet addressed the topic of maximizing the product-development outcome by overlapping. In this article, a dynamic optimal control model is developed to maximize total profit of the product-development project. The closed form solutions are found, from which managerial insights are derived. Using two parameters, namely, evolution speed (slow and fast) and sensitivity (high and low), we create and examine four environments in our study – slow and high (SH), fast and high (FH), slow and low (SL), and fast and low (FL). Findings are obtained and organized into a framework to help with the management of product-development activities. We find that in most difficult environment, SH, the firm should invest in downstream activities lightly; while in the easiest environment, FL, the firm should invest heavily in downstream activities. In environment FH, the firm should postpone the investment in downstream activities to a later stage, start at a lower level, and increase efforts later at a faster pace. On the other hand, in environment SL, the firm should invest earlier, start at a higher level, and increase efforts at a slower pace. Finally, we develop the conditions and scenarios under which the final results and profits will be higher.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-12-01DOI: 10.1080/10170669.2011.651165
M. Aslam, C. Jun, Y. Lio, M. Ahmad, Mujahid Rasool
In this article, a group acceptance sampling plan (GASP) for lot resubmitting is developed to ensure the quality of product lifetime assuming that the product lifetime follows the Burr-type XII distribution. The parameters of the GASP are determined by satisfying the specified producer's and consumer's risks according to the experiment termination time and the number of testers. A comparison between the proposed group sampling plan and the ordinary group sampling plan shows that the proposed plan requires less sample size. Two examples are used for illustration.
{"title":"Group acceptance sampling plans for resubmitted lots under Burr-type XII distributions","authors":"M. Aslam, C. Jun, Y. Lio, M. Ahmad, Mujahid Rasool","doi":"10.1080/10170669.2011.651165","DOIUrl":"https://doi.org/10.1080/10170669.2011.651165","url":null,"abstract":"In this article, a group acceptance sampling plan (GASP) for lot resubmitting is developed to ensure the quality of product lifetime assuming that the product lifetime follows the Burr-type XII distribution. The parameters of the GASP are determined by satisfying the specified producer's and consumer's risks according to the experiment termination time and the number of testers. A comparison between the proposed group sampling plan and the ordinary group sampling plan shows that the proposed plan requires less sample size. Two examples are used for illustration.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131735721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-12-01DOI: 10.1080/10170669.2011.647099
Yen-Hui Lin, Chih-Yong Chen, Tengsheng Wang
This study examined fatal occupational falls in the Taiwan construction industry. Data extracted from 1062 work-related accident reports filed in the years 1996–2007 in annual reports by the Council of Labor Affairs (CLA) were analyzed in terms of gender, age, and work experience of the accident victim as well as activity at the time of the incident, personal protective equipment (PPE) worn at the time of accident, height of the work surface, and other accident-related factors (i.e. time of day, day of week, month of year, accident event, fall height) to identify significant contributing factors. The CLA data showed that roofing work was the activity most commonly associated with fatal falls (128 victims, 12.1%). Approximately, 30% (315 victims) of fatal events were attributed to falls from scaffold or staging. Age differences were also noted in fatality rate, which was highest in workers aged 34–44 years. Additionally, most (218 victims, 20.5%) workers who died were in their first year of employment with their current employer. Further, most (536, 50.4%) victims fell from a height of ≤10 m. Notably, most of the fall victims were not using handrails or safety belts at the time of the accident. These analytical findings provide guidelines for developing inspection strategies and programs for preventing occupational falls in the construction industry.
{"title":"Fatal occupational falls in the Taiwan construction industry","authors":"Yen-Hui Lin, Chih-Yong Chen, Tengsheng Wang","doi":"10.1080/10170669.2011.647099","DOIUrl":"https://doi.org/10.1080/10170669.2011.647099","url":null,"abstract":"This study examined fatal occupational falls in the Taiwan construction industry. Data extracted from 1062 work-related accident reports filed in the years 1996–2007 in annual reports by the Council of Labor Affairs (CLA) were analyzed in terms of gender, age, and work experience of the accident victim as well as activity at the time of the incident, personal protective equipment (PPE) worn at the time of accident, height of the work surface, and other accident-related factors (i.e. time of day, day of week, month of year, accident event, fall height) to identify significant contributing factors. The CLA data showed that roofing work was the activity most commonly associated with fatal falls (128 victims, 12.1%). Approximately, 30% (315 victims) of fatal events were attributed to falls from scaffold or staging. Age differences were also noted in fatality rate, which was highest in workers aged 34–44 years. Additionally, most (218 victims, 20.5%) workers who died were in their first year of employment with their current employer. Further, most (536, 50.4%) victims fell from a height of ≤10 m. Notably, most of the fall victims were not using handrails or safety belts at the time of the accident. These analytical findings provide guidelines for developing inspection strategies and programs for preventing occupational falls in the construction industry.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115431794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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