The salt supply chain consists of a complex pattern. In this case, salt farmers, as a significant part of the salt trade, need careful trade channels to get optimal profits. Determination of supply chain channels on a salt commodity is not lonely affected by the price but driven by many external factors. Identify the most significant contributor to the decision making of it, and the Delphi-based approach becomes a promising way. This study designed using qualitative with two rounds of Delphi method, namely to determine the factors that influence the salt supply chain system and the second stage to establish consensus based on the factors obtained in the previous stage. Using a purposive sampling method, the subjects of the study were seven respondents from salt supply chain players in Indonesia. The questionnaire was arranged based on factors affecting the salt supply chain system. As a result, the consensus with the experts was achieved after the 3rd interview, related to factors: number of family members, income rate, salt quality, salt production, price, payment system, price information, capital, and transaction cost. Factors that influence the choice of supply chain systems will have an impact on the amount of income of farmers.
{"title":"Determination Factors in Supply Chain: Salt Problem","authors":"I. Maflahah, B. Wirjodirdjo, P. Karningsih","doi":"10.1145/3396743.3396751","DOIUrl":"https://doi.org/10.1145/3396743.3396751","url":null,"abstract":"The salt supply chain consists of a complex pattern. In this case, salt farmers, as a significant part of the salt trade, need careful trade channels to get optimal profits. Determination of supply chain channels on a salt commodity is not lonely affected by the price but driven by many external factors. Identify the most significant contributor to the decision making of it, and the Delphi-based approach becomes a promising way. This study designed using qualitative with two rounds of Delphi method, namely to determine the factors that influence the salt supply chain system and the second stage to establish consensus based on the factors obtained in the previous stage. Using a purposive sampling method, the subjects of the study were seven respondents from salt supply chain players in Indonesia. The questionnaire was arranged based on factors affecting the salt supply chain system. As a result, the consensus with the experts was achieved after the 3rd interview, related to factors: number of family members, income rate, salt quality, salt production, price, payment system, price information, capital, and transaction cost. Factors that influence the choice of supply chain systems will have an impact on the amount of income of farmers.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116211042","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}
Considering the environmental awareness of consumers, a Stackelberg game model is established for the closed-loop supply chain composed of manufacturer, retailer and third-party recycler. This paper analyzes three strategies of carbon tax policy (CTP), reward-penalty mechanism (RPM), carbon tax policy and reward-penalty mechanism (CTP and RPM) under decentralized decision. The results show that increasing consumers' awareness of environmental protection can improve price, demand and recovery rate of product under all three strategies. When there is a carbon tax policy, carbon emissions can be reduced. When there is a reward-penalty mechanism, it can improve the recovery rate of waste products and increase the profits of closed-loop supply chain members.
{"title":"Study on Closed-Loop Supply Chain Strategy Based on Carbon Tax Policy and Reward-Penalty Mechanism","authors":"Ju Gou, Sheng Liu, Dan Wu, Hongli Zhou","doi":"10.1145/3396743.3396757","DOIUrl":"https://doi.org/10.1145/3396743.3396757","url":null,"abstract":"Considering the environmental awareness of consumers, a Stackelberg game model is established for the closed-loop supply chain composed of manufacturer, retailer and third-party recycler. This paper analyzes three strategies of carbon tax policy (CTP), reward-penalty mechanism (RPM), carbon tax policy and reward-penalty mechanism (CTP and RPM) under decentralized decision. The results show that increasing consumers' awareness of environmental protection can improve price, demand and recovery rate of product under all three strategies. When there is a carbon tax policy, carbon emissions can be reduced. When there is a reward-penalty mechanism, it can improve the recovery rate of waste products and increase the profits of closed-loop supply chain members.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115766420","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}
Identifying and quantifying the drivers for adopting blockchain technologies are important for developing effective launch plan. Technology Acceptance Model (TAM) and its derivatives have been used for this purpose. However, some of these models only use a few standardized, predetermined independent variables to collectively represent the drivers. Low predictive power of TAM leads to questions on whether this restriction may detrimentally constrain the exploration of other driving factors. Some other extended models with higher R2 are considered impractical and lack of theoretical foundations. This paper demonstrates that reasonable predictive power can be achieved even with simple, practically implementable model when research targets are sampled and segmented properly. By employing a more fundamental theory, this study has also included additional variable that would normally not be considered in TAM.
{"title":"Blockchain Technology Adoption: Examining the Fundamental Drivers","authors":"Jerry Chun-Fung Li","doi":"10.1145/3396743.3396750","DOIUrl":"https://doi.org/10.1145/3396743.3396750","url":null,"abstract":"Identifying and quantifying the drivers for adopting blockchain technologies are important for developing effective launch plan. Technology Acceptance Model (TAM) and its derivatives have been used for this purpose. However, some of these models only use a few standardized, predetermined independent variables to collectively represent the drivers. Low predictive power of TAM leads to questions on whether this restriction may detrimentally constrain the exploration of other driving factors. Some other extended models with higher R2 are considered impractical and lack of theoretical foundations. This paper demonstrates that reasonable predictive power can be achieved even with simple, practically implementable model when research targets are sampled and segmented properly. By employing a more fundamental theory, this study has also included additional variable that would normally not be considered in TAM.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130174359","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}
For the multiple attribute decision-making problem, the decision-making approach which considers hesitant fuzzy decision information and unknown attribute weights is investigated. Primarily, the formed vectors of alternative, positive and negative ideal direction are defined. Subsequently, a bidirectional projection based on hesitant fuzzy information is established. Simultaneously, the improved closeness degree equation is proposed. Further, an attribute weight determination model which maximizes the closeness degree and entropy is constructed. In the last, an illustrative example is provided to demonstrate the validity and feasibility of the proposed approach.
{"title":"A Decision Making Approach under Hesitant Fuzzy Information","authors":"Baodong Li, Sheng Wang, Yu Yang, Jiafu Su","doi":"10.1145/3396743.3396755","DOIUrl":"https://doi.org/10.1145/3396743.3396755","url":null,"abstract":"For the multiple attribute decision-making problem, the decision-making approach which considers hesitant fuzzy decision information and unknown attribute weights is investigated. Primarily, the formed vectors of alternative, positive and negative ideal direction are defined. Subsequently, a bidirectional projection based on hesitant fuzzy information is established. Simultaneously, the improved closeness degree equation is proposed. Further, an attribute weight determination model which maximizes the closeness degree and entropy is constructed. In the last, an illustrative example is provided to demonstrate the validity and feasibility of the proposed approach.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134073102","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}
The ability to rise from a sitting position is considered as a key determinant of independence. An ergonomic analysis of sit-to-stand (STS) is needed for people to improve the daily activity, avoid the re-injury and be a reference by documenting the influences on human musculoskeletal system. The goal is to investigate the effects of arm postures and leg positions on joint motion and joint loads during sit to stand period. The twelve young college students without any musculoskeletal disorder were recruited. Three contexts of the sit-to-stand experiment were a normal sit posture with 90 degree of knee joint (N), a normal sit with feet backward 10 cm from sitting with 90 degree of knee joint (FB) and a normal sit posture with arms forward (AF). The height of the chair was adjusted with their leg length from ground to knee joint. The six-camera motion analysis capture system with two force plates were used to collect the segmental movement and ground reaction force. The movement time, kinematics and kinetics of joint were then analyzed. The results were found the range of motion of the hip, knee and ankle were significantly affected by chair raising strategies (p<0.05). FB groups had lower peak moments of the hip than N and AF groups. The largest peak knee moment occurred in FB groups. The peak knee moments among three groups are significantly different (p<0.05). The results of this research would be a reference for strategy use for older people or people who are difficult to rise from sit.
{"title":"Effects of Chair Rise Strategies on Joint Loads","authors":"S. Lou, Yan-Ren Lin, C. L. Lee","doi":"10.1145/3396743.3396782","DOIUrl":"https://doi.org/10.1145/3396743.3396782","url":null,"abstract":"The ability to rise from a sitting position is considered as a key determinant of independence. An ergonomic analysis of sit-to-stand (STS) is needed for people to improve the daily activity, avoid the re-injury and be a reference by documenting the influences on human musculoskeletal system. The goal is to investigate the effects of arm postures and leg positions on joint motion and joint loads during sit to stand period. The twelve young college students without any musculoskeletal disorder were recruited. Three contexts of the sit-to-stand experiment were a normal sit posture with 90 degree of knee joint (N), a normal sit with feet backward 10 cm from sitting with 90 degree of knee joint (FB) and a normal sit posture with arms forward (AF). The height of the chair was adjusted with their leg length from ground to knee joint. The six-camera motion analysis capture system with two force plates were used to collect the segmental movement and ground reaction force. The movement time, kinematics and kinetics of joint were then analyzed. The results were found the range of motion of the hip, knee and ankle were significantly affected by chair raising strategies (p<0.05). FB groups had lower peak moments of the hip than N and AF groups. The largest peak knee moment occurred in FB groups. The peak knee moments among three groups are significantly different (p<0.05). The results of this research would be a reference for strategy use for older people or people who are difficult to rise from sit.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133943044","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}
The effects of load distribution and lifting duration on muscular strain of upper limbs were examined in the study. Fifteen task conditions that consisted of 5 load distributions (1 balanced and 4 unbalanced patterns) and 3 lifting durations (1, 2 and 3 s/lift) were performed in the experiment. A total of 15 subjects were recruited. Electromyographic data were measured from 5 muscles of right upper limb. Hand forces were obtained at both handles, which were equipped with load cells. The results showed that the upper limb muscular strains increased when the load distribution of objects lifted was not balanced. The lifting durations had the significant effect on the biomechanical behavior of upper limbs. The risk of musculoskeletal disorders of upper limbs became higher when fast lifting was performed. The study results suggested that the center of mass should be located at the center of the load and the lifting duration should not be shorter to reduce the risk of musculoskeletal injury to the operator.
{"title":"Load Distribution and Lifting Duration Effects on Upper Limb Strain for Manual Handling","authors":"Cheng-Lung Lee, S. Lou, Yu-Ren Su","doi":"10.1145/3396743.3396783","DOIUrl":"https://doi.org/10.1145/3396743.3396783","url":null,"abstract":"The effects of load distribution and lifting duration on muscular strain of upper limbs were examined in the study. Fifteen task conditions that consisted of 5 load distributions (1 balanced and 4 unbalanced patterns) and 3 lifting durations (1, 2 and 3 s/lift) were performed in the experiment. A total of 15 subjects were recruited. Electromyographic data were measured from 5 muscles of right upper limb. Hand forces were obtained at both handles, which were equipped with load cells. The results showed that the upper limb muscular strains increased when the load distribution of objects lifted was not balanced. The lifting durations had the significant effect on the biomechanical behavior of upper limbs. The risk of musculoskeletal disorders of upper limbs became higher when fast lifting was performed. The study results suggested that the center of mass should be located at the center of the load and the lifting duration should not be shorter to reduce the risk of musculoskeletal injury to the operator.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131227274","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}
Planning maintenance of facilities is an important role for production line. From preventive maintenance to predictive maintenance, the main purpose is cost down by reducing the chance of the unexpected shot down. Thus, this study intends to apply independent recurrent neural network (IndRNN), which is a kind of deep learning technique, and apply it to predict remaining useful life for the ball bearings using vibration signals. The result of the proposed method is compared with original RNN. The experimental results indicate that IndRNN is able to perform better than the other method in terms of score.
{"title":"Predicting Remaining Useful Life of Ball Bearing Using an Independent Recurrent Neural Network","authors":"R. Kuo, C. Li","doi":"10.1145/3396743.3396765","DOIUrl":"https://doi.org/10.1145/3396743.3396765","url":null,"abstract":"Planning maintenance of facilities is an important role for production line. From preventive maintenance to predictive maintenance, the main purpose is cost down by reducing the chance of the unexpected shot down. Thus, this study intends to apply independent recurrent neural network (IndRNN), which is a kind of deep learning technique, and apply it to predict remaining useful life for the ball bearings using vibration signals. The result of the proposed method is compared with original RNN. The experimental results indicate that IndRNN is able to perform better than the other method in terms of score.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"795 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485976","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}
Company C has incurred 31 percent of delayed projects for more than three months due to the method of applying the Agile practices. The study assesses which among the Agile practices should Company C improve on to meet its project timeliness. Company C was evaluated against other IT companies, namely Company A, B and D based on how in-depth the Agile practices were applied in the company using one-way ANOVA to test the difference of means of the companies on each Agile practice. The Agile practices that Company C excels and needs improvement were obtained. A binary logistic bootstrap regression is performed to determine which Agile practices positively affect in improving the project timeliness of Company C. Based on the identified best implementation of the Agile Scrum practice in Company C from one-way ANOVA, and the positive and negative coefficients in regression, the practices that should be maintained and improved were obtained for the formulation of the Agile framework of Company C. To improve project completion rate, Company C should improve on the following practices: increasing frequency of evaluating backlog items at least every other sprint, limiting stand-up meeting to 15 minutes, creating separate implementation task, conducting sprint planning with key persons, consistent iteration length, more frequent iteration demos, performance of unit testing, understanding architectural design and implemented by the team, performing pair-programming on key portions, collaborating more frequently of team members and using of formal written document as supplement for informal communication should be implemented.
{"title":"Agile Scrum Adoption of the Application Development Projects of Company C","authors":"Janina Elyse A. Reyes, G. L. Intal","doi":"10.1145/3396743.3396770","DOIUrl":"https://doi.org/10.1145/3396743.3396770","url":null,"abstract":"Company C has incurred 31 percent of delayed projects for more than three months due to the method of applying the Agile practices. The study assesses which among the Agile practices should Company C improve on to meet its project timeliness. Company C was evaluated against other IT companies, namely Company A, B and D based on how in-depth the Agile practices were applied in the company using one-way ANOVA to test the difference of means of the companies on each Agile practice. The Agile practices that Company C excels and needs improvement were obtained. A binary logistic bootstrap regression is performed to determine which Agile practices positively affect in improving the project timeliness of Company C. Based on the identified best implementation of the Agile Scrum practice in Company C from one-way ANOVA, and the positive and negative coefficients in regression, the practices that should be maintained and improved were obtained for the formulation of the Agile framework of Company C. To improve project completion rate, Company C should improve on the following practices: increasing frequency of evaluating backlog items at least every other sprint, limiting stand-up meeting to 15 minutes, creating separate implementation task, conducting sprint planning with key persons, consistent iteration length, more frequent iteration demos, performance of unit testing, understanding architectural design and implemented by the team, performing pair-programming on key portions, collaborating more frequently of team members and using of formal written document as supplement for informal communication should be implemented.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115199189","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}
Sheng-Hsiung Chiu, Rui Yang, Ziyu Xiao, Tzu-Yu Lin
The purpose of this paper is to investigate the regional sustainable development performance of 30 provinces in China from 2012 to 2017, based on a dynamic network slacks-based measure (DNSBM) approach. We construct an evaluation framework with a dynamic two-stage model with serial connection. The major difference between this paper and previous literatures is the assumption of installed capacity, defined as a carry-over linking between two consecutive terms. The empirical result of the average regional sustainable development performance is 0.3487 for 2012-2017, due to lower average performance in the electricity portfolio stage than that in the energy productivity stage. The results from the model suggests that the provincial and central government should be put more efforts in the electricity portfolio, such as raising the zero-carbon capacity, to mitigate CO2 emission.
{"title":"Applying The Dynamic Network DEA Model to Evaluate The Chinese Regional Sustainable Performance","authors":"Sheng-Hsiung Chiu, Rui Yang, Ziyu Xiao, Tzu-Yu Lin","doi":"10.1145/3396743.3396774","DOIUrl":"https://doi.org/10.1145/3396743.3396774","url":null,"abstract":"The purpose of this paper is to investigate the regional sustainable development performance of 30 provinces in China from 2012 to 2017, based on a dynamic network slacks-based measure (DNSBM) approach. We construct an evaluation framework with a dynamic two-stage model with serial connection. The major difference between this paper and previous literatures is the assumption of installed capacity, defined as a carry-over linking between two consecutive terms. The empirical result of the average regional sustainable development performance is 0.3487 for 2012-2017, due to lower average performance in the electricity portfolio stage than that in the energy productivity stage. The results from the model suggests that the provincial and central government should be put more efforts in the electricity portfolio, such as raising the zero-carbon capacity, to mitigate CO2 emission.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619356","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}
Most of the courier companies offer both courier service and cargo delivery/shipping. Thus, the courier service industry is classified under Warehousing and Support Activities for Transportation (WSAT) and Postal and Courier Activities (PCA) of the Philippine Standard Industrial Classification (PSIC). The musculoskeletal disorder (MSD) under WSAT and PCA on 2013 totals to 1075 or 56.76% of occupational diseases. The researchers aimed to conduct ergonomic assessment in the outlets and hubs of one of the largest courier companies in the Philippines. The researchers gathered information about the demographics, work methods, workplace design and working conditions of the workers through survey questionnaires, interviews and observations. The prevalence of the MSD of workers in hubs is more serious compared to those in outlets. The most affected body part of workers is lower back. Factors affecting outlet customer service representatives are the setup, table height, frequency of exercise, proper lifting, years working, weekly working days, sitting hours, postures, workplace design and transaction rates. For the workers in hubs, the significant factors that affect them are the frequency of exercise, standing time, workplace design, weekly overtime, age, transaction rates, and whether they know about proper lifting. This paper proposes an ergonomically designed workplace and recommends strategies to reduce the worker's MSD in courier service industry.
{"title":"The Prevalence of Musculoskeletal Disorders among Workers in Outlets and Warehouses of Courier Service Industry","authors":"R. Estember, Benson Que","doi":"10.1145/3396743.3396797","DOIUrl":"https://doi.org/10.1145/3396743.3396797","url":null,"abstract":"Most of the courier companies offer both courier service and cargo delivery/shipping. Thus, the courier service industry is classified under Warehousing and Support Activities for Transportation (WSAT) and Postal and Courier Activities (PCA) of the Philippine Standard Industrial Classification (PSIC). The musculoskeletal disorder (MSD) under WSAT and PCA on 2013 totals to 1075 or 56.76% of occupational diseases. The researchers aimed to conduct ergonomic assessment in the outlets and hubs of one of the largest courier companies in the Philippines. The researchers gathered information about the demographics, work methods, workplace design and working conditions of the workers through survey questionnaires, interviews and observations. The prevalence of the MSD of workers in hubs is more serious compared to those in outlets. The most affected body part of workers is lower back. Factors affecting outlet customer service representatives are the setup, table height, frequency of exercise, proper lifting, years working, weekly working days, sitting hours, postures, workplace design and transaction rates. For the workers in hubs, the significant factors that affect them are the frequency of exercise, standing time, workplace design, weekly overtime, age, transaction rates, and whether they know about proper lifting. This paper proposes an ergonomically designed workplace and recommends strategies to reduce the worker's MSD in courier service industry.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123368552","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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