Pub Date : 2022-01-31DOI: 10.4995/ijpme.2022.16666
Alicia Olivares-Gil, Adrián Arnaiz-Rodríguez, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Virginia Ahedo, C. García-Osorio, J. I. Santos, José Manuel Galán
Understanding the scientific and social structure of a discipline is a fundamental aspect for scientific evaluation processes, identifying trends and niches, and balancing the trade-off between exploitation and exploration in research. In the present contribution, the production of doctoral theses is used as a proxy to analyze the scientific structure of the knowledge area of business organization in Spain. To that end, a complex networks approach is selected, and two different networks are built: (i) the social network of co-participation in thesis examining committees and thesis supervision, and (ii) a bipartite network of theses and thesis descriptors. The former has a modular structure that is partially explained by thematic specialization in different subdisciplines. The latter serves to assess the interdisciplinary structure of the discipline, as it enables the characterization of affinity levels between fields, research poles and thematic clusters. Our results have implications for the scientific evaluation and formal definition of related fields.
{"title":"Mapping the scientific structure of organization and management of enterprises using complex networks","authors":"Alicia Olivares-Gil, Adrián Arnaiz-Rodríguez, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Virginia Ahedo, C. García-Osorio, J. I. Santos, José Manuel Galán","doi":"10.4995/ijpme.2022.16666","DOIUrl":"https://doi.org/10.4995/ijpme.2022.16666","url":null,"abstract":"Understanding the scientific and social structure of a discipline is a fundamental aspect for scientific evaluation processes, identifying trends and niches, and balancing the trade-off between exploitation and exploration in research. In the present contribution, the production of doctoral theses is used as a proxy to analyze the scientific structure of the knowledge area of business organization in Spain. To that end, a complex networks approach is selected, and two different networks are built: (i) the social network of co-participation in thesis examining committees and thesis supervision, and (ii) a bipartite network of theses and thesis descriptors. The former has a modular structure that is partially explained by thematic specialization in different subdisciplines. The latter serves to assess the interdisciplinary structure of the discipline, as it enables the characterization of affinity levels between fields, research poles and thematic clusters. Our results have implications for the scientific evaluation and formal definition of related fields.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42156058","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 : 2022-01-31DOI: 10.4995/ijpme.2022.15894
Jia Yuik Chong, P. Perumal
The adoption of lean manufacturing (LM) in small and medium-sized enterprises (SMEs) is not as vigorous as in large organizations. This purpose of this study is to assess the maturity level of LM implementation in the machinery and equipment (ME) SMEs. The close-ended survey questionnaire method was adopted in three Malaysian manufacturing ME SMEs, and data was collected for the descriptive analysis. The findings showed that these case companies are generally at a low-to-moderate level in terms of LM understanding. Meanwhile, the extent of LM implementation and the success level is still moderate. The proposed LM conceptual model provides valuable perspectives and establishes a holistic understanding of the phenomena in LM maturity status for ME SMEs. The proper synchronization of LM understanding, implementation, and success are vital to building the strong LM maturity foundation for lean organizational transformation. It serves as useful guidance and strategic framework to other companies in dealing with the operational excellence challenges. The significance of this study will help ME SMEs to identify their current position and promote progress in the lean application journey. This will benefit the management team and lean practitioners in decision-making and enhance tactics to attain a higher level of success.
{"title":"Conceptual model for assessing the lean manufacturing implementation maturity level in machinery and equipment of small and medium-sized enterprises","authors":"Jia Yuik Chong, P. Perumal","doi":"10.4995/ijpme.2022.15894","DOIUrl":"https://doi.org/10.4995/ijpme.2022.15894","url":null,"abstract":"The adoption of lean manufacturing (LM) in small and medium-sized enterprises (SMEs) is not as vigorous as in large organizations. This purpose of this study is to assess the maturity level of LM implementation in the machinery and equipment (ME) SMEs. The close-ended survey questionnaire method was adopted in three Malaysian manufacturing ME SMEs, and data was collected for the descriptive analysis. The findings showed that these case companies are generally at a low-to-moderate level in terms of LM understanding. Meanwhile, the extent of LM implementation and the success level is still moderate. The proposed LM conceptual model provides valuable perspectives and establishes a holistic understanding of the phenomena in LM maturity status for ME SMEs. The proper synchronization of LM understanding, implementation, and success are vital to building the strong LM maturity foundation for lean organizational transformation. It serves as useful guidance and strategic framework to other companies in dealing with the operational excellence challenges. The significance of this study will help ME SMEs to identify their current position and promote progress in the lean application journey. This will benefit the management team and lean practitioners in decision-making and enhance tactics to attain a higher level of success.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48378268","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 : 2022-01-31DOI: 10.4995/ijpme.2022.16021
M. Komarudin, Rosalendro Eddy Nugroho
This study aims to analyze the failure factors of PT. XYZ in 2018 – 2020 in terms of time, cost, labor, Health, Safety, and Environment (HSE), and quality based on the Success Project Factor (SPF). It includes 183 projects with the Non-Probability Sampling technique. The researcher uses fishbone and Pareto to identify problems. The results showed Schedule Performance Index (SPI) 1 indicated the project is in the late category, the Cost Performance Index (CPI) 1 indicated cost overrun, Safety Performance Index (SFPI) 0 indicated the K3 target could not be reached, the Client Satisfaction Index (CSI) = 34.03, indicated that it is in the dissatisfied category, then Productivity Coefficient Plan Realization, it meant the workforce was less productive. After the analysis of fishbone and Pareto, the data show that the highest cause was 13% due to lack of supervision, project cost aspects were 13% due to delays, HSE project aspect were 13% due to no K3 process before work begins, the quality aspect was 17% due to no training, and the labor aspect was 17% due to poor worker discipline.
{"title":"Analysis of the project success factor through time, cost, labour, health, safety, environment and quality aspects at PT XYZ","authors":"M. Komarudin, Rosalendro Eddy Nugroho","doi":"10.4995/ijpme.2022.16021","DOIUrl":"https://doi.org/10.4995/ijpme.2022.16021","url":null,"abstract":"This study aims to analyze the failure factors of PT. XYZ in 2018 – 2020 in terms of time, cost, labor, Health, Safety, and Environment (HSE), and quality based on the Success Project Factor (SPF). It includes 183 projects with the Non-Probability Sampling technique. The researcher uses fishbone and Pareto to identify problems. The results showed Schedule Performance Index (SPI) 1 indicated the project is in the late category, the Cost Performance Index (CPI) 1 indicated cost overrun, Safety Performance Index (SFPI) 0 indicated the K3 target could not be reached, the Client Satisfaction Index (CSI) = 34.03, indicated that it is in the dissatisfied category, then Productivity Coefficient Plan Realization, it meant the workforce was less productive. After the analysis of fishbone and Pareto, the data show that the highest cause was 13% due to lack of supervision, project cost aspects were 13% due to delays, HSE project aspect were 13% due to no K3 process before work begins, the quality aspect was 17% due to no training, and the labor aspect was 17% due to poor worker discipline.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45426099","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 : 2021-09-30DOI: 10.4995/IJPME.2021.16084
Mohammad Zakaraia, H. Zaher, Naglaa Ragaa
The U-shaped assembly lines help to have more flexibility than the straight assembly lines, where the operators can perform tasks in both sides of the line, the entrance and the exit sides. Having more than one operator in any station of the line can reduce the line length and thereby affects the number of produced products. This paper combines the U-shaped assembly line balancing problem with the multi-manned assembly line balancing problem in one problem. In addition, the processing times of the tasks are considered as stochastic, where they are represented as random variables with known means and variances. The problem is formulated as a mixed-integer linear programming and the cycle time constraints are formulated as chance-constraints. The proposed algorithm for solving the problem is a differential evolution algorithm. The parameter of the algorithm is optimized using experimental design and the computational results are done on 71 adapted problems selected from well-known benchmarks.
{"title":"Solving stochastic multi-manned U-shaped assembly line balancing problem using differential evolution algorithm","authors":"Mohammad Zakaraia, H. Zaher, Naglaa Ragaa","doi":"10.4995/IJPME.2021.16084","DOIUrl":"https://doi.org/10.4995/IJPME.2021.16084","url":null,"abstract":"The U-shaped assembly lines help to have more flexibility than the straight assembly lines, where the operators can perform tasks in both sides of the line, the entrance and the exit sides. Having more than one operator in any station of the line can reduce the line length and thereby affects the number of produced products. This paper combines the U-shaped assembly line balancing problem with the multi-manned assembly line balancing problem in one problem. In addition, the processing times of the tasks are considered as stochastic, where they are represented as random variables with known means and variances. The problem is formulated as a mixed-integer linear programming and the cycle time constraints are formulated as chance-constraints. The proposed algorithm for solving the problem is a differential evolution algorithm. The parameter of the algorithm is optimized using experimental design and the computational results are done on 71 adapted problems selected from well-known benchmarks.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44497768","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 : 2021-07-28DOI: 10.4995/ijpme.2021.14985
Emrae Jung
The objective of this study is to develop a car assembly sequence that is mutually agreed between car manufacturers and Tier-1 module suppliers such that overall modular supply chain efficiency is improved. In the literature so far, only constraints of car manufacturers have been considered in the car sequencing problem. However, an assembly sequence from car manufacturer imposes a module assembly sequence on Tier-1 module suppliers since their assembly activities are synchronous and in sequence with assembly line of that car manufacturer. An imposed assembly sequence defines a certain demand rate for Tier-1 module suppliers and has significant impacts on operational cost of these suppliers which ultimately affects the overall modular supply chain efficiency. In this paper, a heuristic approach has been introduced to generate a supplier cognizant car sequence which does not only provide better operational conditions for Tier-1 module suppliers, but also satisfies constraints of the car manufacturer.
{"title":"Integrating Tier-1 module suppliers in car sequencing problem","authors":"Emrae Jung","doi":"10.4995/ijpme.2021.14985","DOIUrl":"https://doi.org/10.4995/ijpme.2021.14985","url":null,"abstract":"The objective of this study is to develop a car assembly sequence that is mutually agreed between car manufacturers and Tier-1 module suppliers such that overall modular supply chain efficiency is improved. In the literature so far, only constraints of car manufacturers have been considered in the car sequencing problem. However, an assembly sequence from car manufacturer imposes a module assembly sequence on Tier-1 module suppliers since their assembly activities are synchronous and in sequence with assembly line of that car manufacturer. An imposed assembly sequence defines a certain demand rate for Tier-1 module suppliers and has significant impacts on operational cost of these suppliers which ultimately affects the overall modular supply chain efficiency. In this paper, a heuristic approach has been introduced to generate a supplier cognizant car sequence which does not only provide better operational conditions for Tier-1 module suppliers, but also satisfies constraints of the car manufacturer.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45945565","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 : 2020-01-31DOI: 10.4995/ijpme.2020.11953
Ö. Yılmaz, Ö. Demirel, S. Zaim, S. Sevim
The philosophy of production without waste is the fundamental belief behind lean manufacturing that should be adopted by enterprises. One of the waste elimination methods is assembly line balancing for lean manufacturing, i.e. Yamazumi. The assembly line balancing is to assign tasks to the workstations by minimizing the number of workstations to the required values. There should be no workstation with the excessively high or low workload, and all workstations must ideally work with balanced workloads. Accordingly, in this study, the axiomatic design method is applied for assembly line balancing in order to achieve maximum output with the installed capacity. In order to achieve this aim, all improvement opportunities are defined and utilized as an output of the study. Computational results indicate that the proposed method is effective to reduce operators’ idle time by 12%, imbalance workload between workstations by 38%, and the total number of workers by 12%. As a result of these improvements, the production volume is increased by 23%.
{"title":"Assembly line balancing by using axiomatic design principles: An application from cooler manufacturing industry","authors":"Ö. Yılmaz, Ö. Demirel, S. Zaim, S. Sevim","doi":"10.4995/ijpme.2020.11953","DOIUrl":"https://doi.org/10.4995/ijpme.2020.11953","url":null,"abstract":"The philosophy of production without waste is the fundamental belief behind lean manufacturing that should be adopted by enterprises. One of the waste elimination methods is assembly line balancing for lean manufacturing, i.e. Yamazumi. The assembly line balancing is to assign tasks to the workstations by minimizing the number of workstations to the required values. There should be no workstation with the excessively high or low workload, and all workstations must ideally work with balanced workloads. Accordingly, in this study, the axiomatic design method is applied for assembly line balancing in order to achieve maximum output with the installed capacity. In order to achieve this aim, all improvement opportunities are defined and utilized as an output of the study. Computational results indicate that the proposed method is effective to reduce operators’ idle time by 12%, imbalance workload between workstations by 38%, and the total number of workers by 12%. As a result of these improvements, the production volume is increased by 23%.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43808812","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 : 2019-07-31DOI: 10.4995/IJPME.2019.12035
Sugoi Uriarte Marcos, R. Rodríguez-Rodríguez, Maier Uriarte Marcos, J. Alfaro-Saíz
Performance measurement in Judo usually focuses on some KPIs whose values indicate the final performance of the athlete. This paper deals with firstly identifying which these main KPIs in Judo are. Once this is done, the KPIs are classified into four different clusters: Physical training, specific training, Psychology and Lifestyle. Then, it proposes the multi-criteria decision aim technique of Analytic Network Process as the most indicate one to link not only the impact of the Judo KPIs with the achievement of the judoka’s strategic objectives but also to identify both the relative and the global importance of each of these KPIs.
{"title":"Performance measurement in Judo: main KPIs, cluster categorization and an ANP-based approach","authors":"Sugoi Uriarte Marcos, R. Rodríguez-Rodríguez, Maier Uriarte Marcos, J. Alfaro-Saíz","doi":"10.4995/IJPME.2019.12035","DOIUrl":"https://doi.org/10.4995/IJPME.2019.12035","url":null,"abstract":"Performance measurement in Judo usually focuses on some KPIs whose values indicate the final performance of the athlete. This paper deals with firstly identifying which these main KPIs in Judo are. Once this is done, the KPIs are classified into four different clusters: Physical training, specific training, Psychology and Lifestyle. Then, it proposes the multi-criteria decision aim technique of Analytic Network Process as the most indicate one to link not only the impact of the Judo KPIs with the achievement of the judoka’s strategic objectives but also to identify both the relative and the global importance of each of these KPIs. ","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45779281","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 : 2019-07-31DOI: 10.4995/IJPME.2019.11435
M. Luchko, I. Lukanovska, Vadym Ratynsky
The model of inventory management on the basis of which the calculations of the efficiency of the use of inventories, minimizing the total costs associated with their delivery, storage and fines for lack of stocks in the presence of demand for them have been made and presented in the article. Using it in practice will allow managing the logistics and warehouse costs, the risk of not receiving or reducing the company's profits due to the excess costs and the efficiency of turnover of inventories. The proposed model takes into account the depending on the price of shipment from the supplier to the warehouse, the cost of holding stocks, the cost of holding the stocks, the amount of storage costs and penalties for non-shipped products. It is proved that rationally organized order in stock management allows companies to calculate the order quantity, its optimal size and time interval between orders taking into account the prospect of delay in supply, to plan the amount of profit, to organize the accounting of the profitable level of stocks, to determine the sizes of the highest and guarantee level of the stock. Approbation of the developed model was carried out on the basis of the data of the woodworking enterprise. We used elements of the Data Mining Results technology – the MARSPline module in the application package Statistica to achieve the goals. This made it possible to construct a regression model in multidimensional space and spline surfaces through the main functions.
{"title":"Modelling inventory management: Separate issues for construction and application","authors":"M. Luchko, I. Lukanovska, Vadym Ratynsky","doi":"10.4995/IJPME.2019.11435","DOIUrl":"https://doi.org/10.4995/IJPME.2019.11435","url":null,"abstract":"The model of inventory management on the basis of which the calculations of the efficiency of the use of inventories, minimizing the total costs associated with their delivery, storage and fines for lack of stocks in the presence of demand for them have been made and presented in the article. Using it in practice will allow managing the logistics and warehouse costs, the risk of not receiving or reducing the company's profits due to the excess costs and the efficiency of turnover of inventories. The proposed model takes into account the depending on the price of shipment from the supplier to the warehouse, the cost of holding stocks, the cost of holding the stocks, the amount of storage costs and penalties for non-shipped products. It is proved that rationally organized order in stock management allows companies to calculate the order quantity, its optimal size and time interval between orders taking into account the prospect of delay in supply, to plan the amount of profit, to organize the accounting of the profitable level of stocks, to determine the sizes of the highest and guarantee level of the stock. Approbation of the developed model was carried out on the basis of the data of the woodworking enterprise. We used elements of the Data Mining Results technology – the MARSPline module in the application package Statistica to achieve the goals. This made it possible to construct a regression model in multidimensional space and spline surfaces through the main functions.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44241212","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 : 2019-07-31DOI: 10.4995/IJPME.2019.10163
H. Hernadewita, I. Rochmad, H. Hendra, Hermiyetti Hermiyetti, E. Yuliani
Abstract: Taguchi method is one of a design of experimental (DOE), by using statistical approach to optimize the process parameters and maintaining the minimum variability and also improve the quality of product. Based on data characterisation, Nominal is Best in Taguchi methods is suitable application in this study. Its describe the procedures and steps that occur in DOE to find an optimum quality parameter corresponding quality characterisation. Nominal is the best applied in milling process of pulp on the hydrapulper with pulp freeness 650 Canadian Standard Freeness (CSF). The result is shown by orthogonal array, Signal-to-Noise (S/N) Ratio and analysis of variances (ANOVA). Three factors cosidered in this study and namely the composition of pulp (waste paper), pulp consistency and milling time. The experiment will conducted after determination of each level and the appropriate orthogonal array was selected. After measuring of pulp freeness produced by the pulp milling on the hydrapulper, then Signal-to-Noise (S/N) Ratio is calculated. As the conclussion, the factors and levels of optimum freeness obtained, pulp composition in level 1 (100%), pulp consistency at level 2 (8%) and milling time factor in level 2 (45 minutes). The result of experimental verification was interpreted in the conclusion.Keywords: Taguchi; DOE; pulp; hydrapulper; Nominal is the Best; ANOVA
{"title":"An analysis of implementation of Taguchi method to improve production of pulp on hydrapulper milling","authors":"H. Hernadewita, I. Rochmad, H. Hendra, Hermiyetti Hermiyetti, E. Yuliani","doi":"10.4995/IJPME.2019.10163","DOIUrl":"https://doi.org/10.4995/IJPME.2019.10163","url":null,"abstract":"Abstract: Taguchi method is one of a design of experimental (DOE), by using statistical approach to optimize the process parameters and maintaining the minimum variability and also improve the quality of product. Based on data characterisation, Nominal is Best in Taguchi methods is suitable application in this study. Its describe the procedures and steps that occur in DOE to find an optimum quality parameter corresponding quality characterisation. Nominal is the best applied in milling process of pulp on the hydrapulper with pulp freeness 650 Canadian Standard Freeness (CSF). The result is shown by orthogonal array, Signal-to-Noise (S/N) Ratio and analysis of variances (ANOVA). Three factors cosidered in this study and namely the composition of pulp (waste paper), pulp consistency and milling time. The experiment will conducted after determination of each level and the appropriate orthogonal array was selected. After measuring of pulp freeness produced by the pulp milling on the hydrapulper, then Signal-to-Noise (S/N) Ratio is calculated. As the conclussion, the factors and levels of optimum freeness obtained, pulp composition in level 1 (100%), pulp consistency at level 2 (8%) and milling time factor in level 2 (45 minutes). The result of experimental verification was interpreted in the conclusion.Keywords: Taguchi; DOE; pulp; hydrapulper; Nominal is the Best; ANOVA","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41875293","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}
This work presented in this paper is based on the simulation of the routing flexibility enabled manufacturing system. In this study four levels of each factor (i.e. routing flexibility, system load conditions, system capacity and four part sequencing rules) are considered for the investigation. The performance of the routing flexibility enabled manufacturing system (RFEMS) is evaluated using three performance measures like make-span time, resource utilization and work-in-process. The analysis of results shows that the performance of the manufacturing system may be improved by adding in routing flexibility at the initial level along with other factors. However, the benefit of this flexibility diminishes at higher levels of routing flexibilities.
{"title":"Effect of routing flexibility on the performance of manufacturing system","authors":"Mohammed Ali, W. Khan","doi":"10.4995/IJPME.2019.8726","DOIUrl":"https://doi.org/10.4995/IJPME.2019.8726","url":null,"abstract":"This work presented in this paper is based on the simulation of the routing flexibility enabled manufacturing system. In this study four levels of each factor (i.e. routing flexibility, system load conditions, system capacity and four part sequencing rules) are considered for the investigation. The performance of the routing flexibility enabled manufacturing system (RFEMS) is evaluated using three performance measures like make-span time, resource utilization and work-in-process. The analysis of results shows that the performance of the manufacturing system may be improved by adding in routing flexibility at the initial level along with other factors. However, the benefit of this flexibility diminishes at higher levels of routing flexibilities.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46287481","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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