Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380188
C. Pimentel, Sandra Martins
Nowadays, more than ever, organisations are striving for ways to improve the production flow of different products. This is achieved at the expense of a better use of their resources, such as equipment, people, and materials, among others. Thus, the process of changing production systems, in order to make them more efficient, became a top priority to the manufacturers in the current environment of the global economy. In this context, cellular manufacturing systems arise, providing several different kinds of benefits over traditional production systems, allowing for the improvement of the customer satisfaction. In this paper the changing process, from a job shop production system to a manufacturing cellular system, at the company Durit - Metalurgia Portuguesa do Tungsténio, Lda. is presented. In addition, the gains achieved with the implementation of the manufacturing cellular system, in comparison with the production system previously used are also presented. The results after the implementation of the new production system were impressive. Two critical factors of success were the careful selection of the parts family and of the human resources.
如今，组织比以往任何时候都更努力寻找改善不同产品生产流程的方法。这是以更好地利用他们的资源为代价的，比如设备、人员和材料等等。因此，在当前的全球经济环境下，改变生产系统的过程，以使其更有效率，成为制造商的最高优先事项。在这种情况下，细胞制造系统出现了，提供了几种不同的传统生产系统的好处，允许提高客户满意度。本文介绍了Durit - Metalurgia portuesa do tungstacimnio, Lda公司从作业车间生产系统到制造单元系统的转变过程。提出了。此外，还介绍了制造单元系统的实施与以前使用的生产系统的比较所取得的成果。新生产系统实施后的效果令人印象深刻。成功的两个关键因素是仔细选择零件家族和人力资源。
{"title":"Design and implementation of a manufacturing cell in a job shop environment: An action research study","authors":"C. Pimentel, Sandra Martins","doi":"10.1109/IESM.2015.7380188","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380188","url":null,"abstract":"Nowadays, more than ever, organisations are striving for ways to improve the production flow of different products. This is achieved at the expense of a better use of their resources, such as equipment, people, and materials, among others. Thus, the process of changing production systems, in order to make them more efficient, became a top priority to the manufacturers in the current environment of the global economy. In this context, cellular manufacturing systems arise, providing several different kinds of benefits over traditional production systems, allowing for the improvement of the customer satisfaction. In this paper the changing process, from a job shop production system to a manufacturing cellular system, at the company Durit - Metalurgia Portuguesa do Tungsténio, Lda. is presented. In addition, the gains achieved with the implementation of the manufacturing cellular system, in comparison with the production system previously used are also presented. The results after the implementation of the new production system were impressive. Two critical factors of success were the careful selection of the parts family and of the human resources.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566819","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380325
Amal Gouiaa-Mtibaa, S. Dellagi, Z. Achour, Walid Erray
This paper investigates integrated models joining Non Quality effect and preventive maintenance (PM) policy. We consider a single machine subject to random failure rate and producing progressive deteriorating products. A preventive maintenance (PM) strategy with minimal repair is applied with non negligible durations of maintenance tasks. This study consists in developing analytical models in order to determine the optimal integrated maintenance plan taking into account the impact of non-conforming products. Two strategies are developed. The first strategy consists on selling products at a discount price due to the loss of quality caused by the machine degradation. The aim of this strategy is to determine the optimal number of batches produced N* before applying each preventive maintenance action maximizing the total profit (PT) per time unit. For the second strategy, we propose a rework activity for deteriorated products in order to improve their quality condition to be sold at the best price Pmax. For this second approach, our objective is to determine the number of batches sold after a reworking task N1 and the number of batches sold at a discount price N2. A mathematical model is developed to find simultaneously the optimal value of the two decision variables N1* and N2* which maximize the total net profit (PNT) per time unit for a finite horizon H taking into account rework and setup costs. The preventive maintenance action will be undertaking after each N1+N2 batches. Numerical examples are presented in order to illustrate proposed models and a sensitivity study is used to evaluate the influence of model parameters.
{"title":"Joint integrated maintenance-quality policy with reworking activity","authors":"Amal Gouiaa-Mtibaa, S. Dellagi, Z. Achour, Walid Erray","doi":"10.1109/IESM.2015.7380325","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380325","url":null,"abstract":"This paper investigates integrated models joining Non Quality effect and preventive maintenance (PM) policy. We consider a single machine subject to random failure rate and producing progressive deteriorating products. A preventive maintenance (PM) strategy with minimal repair is applied with non negligible durations of maintenance tasks. This study consists in developing analytical models in order to determine the optimal integrated maintenance plan taking into account the impact of non-conforming products. Two strategies are developed. The first strategy consists on selling products at a discount price due to the loss of quality caused by the machine degradation. The aim of this strategy is to determine the optimal number of batches produced N* before applying each preventive maintenance action maximizing the total profit (PT) per time unit. For the second strategy, we propose a rework activity for deteriorated products in order to improve their quality condition to be sold at the best price Pmax. For this second approach, our objective is to determine the number of batches sold after a reworking task N1 and the number of batches sold at a discount price N2. A mathematical model is developed to find simultaneously the optimal value of the two decision variables N1* and N2* which maximize the total net profit (PNT) per time unit for a finite horizon H taking into account rework and setup costs. The preventive maintenance action will be undertaking after each N1+N2 batches. Numerical examples are presented in order to illustrate proposed models and a sensitivity study is used to evaluate the influence of model parameters.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133841925","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380166
A. Guinet, Roberto Faccincani
As many public institutions, hospitals are open spaces. Patients, staffs, visitors..., can access a lot of care units without control and can be in contact with many people. The most crowded places are often the most vulnerable areas where terrorist attacks can be the most damageable. This paper proposes an approach to evaluate the most crowded places in order to implement countermeasures against terrorist attacks. Firstly, a static model is constructed using the IDEF0 method in order to identify the different units of a hospital with their processes, and the accesses between units. Secondly by extracting the units and the accesses between the units, a flow model is specified to calculate the traffic in the hospital per hour. A linear program allows us to implement our dynamic model and to evaluate the most crowded areas. This communication relates one of the first results of the CIPS European Project called “THREATS”. This project aims to increase the resilience of EU hospitals as a critical infrastructure, by improving their protection capability and security awareness against terrorist attacks.
{"title":"Hospital's vulnerability assessment","authors":"A. Guinet, Roberto Faccincani","doi":"10.1109/IESM.2015.7380166","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380166","url":null,"abstract":"As many public institutions, hospitals are open spaces. Patients, staffs, visitors..., can access a lot of care units without control and can be in contact with many people. The most crowded places are often the most vulnerable areas where terrorist attacks can be the most damageable. This paper proposes an approach to evaluate the most crowded places in order to implement countermeasures against terrorist attacks. Firstly, a static model is constructed using the IDEF0 method in order to identify the different units of a hospital with their processes, and the accesses between units. Secondly by extracting the units and the accesses between the units, a flow model is specified to calculate the traffic in the hospital per hour. A linear program allows us to implement our dynamic model and to evaluate the most crowded areas. This communication relates one of the first results of the CIPS European Project called “THREATS”. This project aims to increase the resilience of EU hospitals as a critical infrastructure, by improving their protection capability and security awareness against terrorist attacks.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890888","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380236
Roberto Domínguez, S. Cannella, J. Framiñan
This paper addresses the impact of inventory errors on the performance of arborescent supply chains, characterized by the bullwhip effect. The inventory records inaccuracy is caused by a permanent shrinkage. Periodic inventory audits are used to control the consequences of the inventory records inaccuracy phenomenon. Different levels of shrinkage and different frequency of audits are considered in the analysis. The performance of the arborescent supply chain is compared with the performance of a classical serial supply chain in order to provide benchmarking. Data is obtained through multi-agent simulation. Results show that the impact of inventory records inaccuracy on the bullwhip effect is higher in the arborescent supply chain: (1) the arborescent supply chain is more vulnerable to inventory shrinkage than the serial supply chain, and (2) the adoption of periodic inventory audits is more beneficial in terms of bullwhip reduction in the arborescent supply chain than the serial supply chain.
{"title":"On the evaluation of arborescent supply chains with inventory errors","authors":"Roberto Domínguez, S. Cannella, J. Framiñan","doi":"10.1109/IESM.2015.7380236","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380236","url":null,"abstract":"This paper addresses the impact of inventory errors on the performance of arborescent supply chains, characterized by the bullwhip effect. The inventory records inaccuracy is caused by a permanent shrinkage. Periodic inventory audits are used to control the consequences of the inventory records inaccuracy phenomenon. Different levels of shrinkage and different frequency of audits are considered in the analysis. The performance of the arborescent supply chain is compared with the performance of a classical serial supply chain in order to provide benchmarking. Data is obtained through multi-agent simulation. Results show that the impact of inventory records inaccuracy on the bullwhip effect is higher in the arborescent supply chain: (1) the arborescent supply chain is more vulnerable to inventory shrinkage than the serial supply chain, and (2) the adoption of periodic inventory audits is more beneficial in terms of bullwhip reduction in the arborescent supply chain than the serial supply chain.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115546077","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380281
N. Nahas, M. Nourelfath
In this paper, we consider a serial production line consisting of n unreliable machines with n-1 buffers. The objective is to determine the optimal preventive maintenance policy, the optimal selection of machines and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. We assume that the mean time between failures (MTBF) of all machines will be increased when performing periodic preventive maintenance. An analytical decomposition-type approximation is used to estimate the production line throughput. The optimal design problem is formulated as a combinatorial optimization one where the decision variables are buffer levels, types of machines and times between preventive maintenance. To solve this problem, a Genetic algorithm is proposed. A numerical example is presented to illustrate the model.
{"title":"Buffer allocation, machine selection and preventive maintenance optimization in unreliable production lines","authors":"N. Nahas, M. Nourelfath","doi":"10.1109/IESM.2015.7380281","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380281","url":null,"abstract":"In this paper, we consider a serial production line consisting of n unreliable machines with n-1 buffers. The objective is to determine the optimal preventive maintenance policy, the optimal selection of machines and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. We assume that the mean time between failures (MTBF) of all machines will be increased when performing periodic preventive maintenance. An analytical decomposition-type approximation is used to estimate the production line throughput. The optimal design problem is formulated as a combinatorial optimization one where the decision variables are buffer levels, types of machines and times between preventive maintenance. To solve this problem, a Genetic algorithm is proposed. A numerical example is presented to illustrate the model.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854347","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380207
Youcef Bereriche, D. Kadi
In this paper, we propose a probabilistic analysis approach for assessing the reliability of supply chain for contingency operation consisting of several cities. We consider that the demand of cities and the quantity of products available at distribution centre are uncertain. Also, we analyze the case where the quality of products available at distribution center is considered uncertain. We evaluate the reliability of supply chain without making any particular assumption on normality of distribution of population demand and the quantity of products available at distribution center. Also, we analyse the problem with making correlation between demand of each city and quantity of products available at distribution center. To conduct a probabilistic analysis we consider the supply chain as a structure that undergoes an external load represented by the demand of population during the crisis period and resist to this load by its strength represented by the quantity of products available at distribution center. The reliability of supply chain for contingency operation is defined as the probability that the available inventory at distribution center meets all population demand during crisis period. The supply chain is considered “failed” if the quantity available at distribution center is less than population demand during crisis period. First Order Reliability Method is used to evaluate the reliability of supply chain.
{"title":"Reliability analysis of supply chain for contingency operations","authors":"Youcef Bereriche, D. Kadi","doi":"10.1109/IESM.2015.7380207","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380207","url":null,"abstract":"In this paper, we propose a probabilistic analysis approach for assessing the reliability of supply chain for contingency operation consisting of several cities. We consider that the demand of cities and the quantity of products available at distribution centre are uncertain. Also, we analyze the case where the quality of products available at distribution center is considered uncertain. We evaluate the reliability of supply chain without making any particular assumption on normality of distribution of population demand and the quantity of products available at distribution center. Also, we analyse the problem with making correlation between demand of each city and quantity of products available at distribution center. To conduct a probabilistic analysis we consider the supply chain as a structure that undergoes an external load represented by the demand of population during the crisis period and resist to this load by its strength represented by the quantity of products available at distribution center. The reliability of supply chain for contingency operation is defined as the probability that the available inventory at distribution center meets all population demand during crisis period. The supply chain is considered “failed” if the quantity available at distribution center is less than population demand during crisis period. First Order Reliability Method is used to evaluate the reliability of supply chain.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906769","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380274
D. Horla
In this regular session some different research areas are introduced with regards to the Operations, Human Factor and Safety problems.
在这个定期会议上，介绍了有关操作，人为因素和安全问题的一些不同的研究领域。
{"title":"Regular session industrial processes","authors":"D. Horla","doi":"10.1109/IESM.2015.7380274","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380274","url":null,"abstract":"In this regular session some different research areas are introduced with regards to the Operations, Human Factor and Safety problems.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905310","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380138
Eva Vallada, Rubén Ruiz
The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.
{"title":"Realistic manufacturing scheduling - 1","authors":"Eva Vallada, Rubén Ruiz","doi":"10.1109/IESM.2015.7380138","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380138","url":null,"abstract":"The gap between scheduling theory and practice has been long known, recognized and studied. More often than not, elaborated scheduling models and procedures are proven to be extremely effective in controlled and synthetic laboratory problems but rarely applied in practical manufacturing scheduling. Real scheduling problems are varied, big and rich in the number of constraints and special characteristics.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121982832","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380179
F. Campuzano-Bolarín, J. Mula, Manuel Díaz-Madroñero
This paper models a traditional supply chain with three levels, manufacturer and retailer, for managing the orders and inventories of perishable products. A hybrid approach, based on systems dynamics and optimization, was used to reduce the bullwhip effect along the supply chain, increase fill rates and reduce total costs (order, inventory and stockout costs). The hybrid approach, with optimization, was able to improve the results for perishable products. This model was also tested by using an electronic point of sales (EPOS) collaborative supply chain structure, which gave improved results.
{"title":"A supply chain dynamics model for managing perishable products under different e-business scenarios","authors":"F. Campuzano-Bolarín, J. Mula, Manuel Díaz-Madroñero","doi":"10.1109/IESM.2015.7380179","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380179","url":null,"abstract":"This paper models a traditional supply chain with three levels, manufacturer and retailer, for managing the orders and inventories of perishable products. A hybrid approach, based on systems dynamics and optimization, was used to reduce the bullwhip effect along the supply chain, increase fill rates and reduce total costs (order, inventory and stockout costs). The hybrid approach, with optimization, was able to improve the results for perishable products. This model was also tested by using an electronic point of sales (EPOS) collaborative supply chain structure, which gave improved results.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122808345","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380293
Amílcar Arantes, Pedro Fernandez da Silva, L. Ferreira
The main aim of this paper is to identify the main causes for the delays in the Portuguese construction industry and its impact, with the purpose of increasing knowledge on the causes and impacts of delays in construction projects. The Relative Importance Index was adopted to classify the importance of the 47 causes and six impacts identified causes of delays. Results show the main causes of delay are slow decision-making, changes to orders, unrealistic timescales and poor contract specifications, financial constraints on the contractor and the type of bidding and contract award process. The main impacts are time and cost overruns and disputes. Factor analysis revealed eight high-level causes that result in 26 of the original causes. Finally, Pearson correlation coefficients were calculated to find the relationship between the extracted factors (latent causes) and impacts, revealing that lack of commitment and substandard contracts are positively correlated with all impacts, and poor consultant performance is negatively correlated with time overrun. These findings are expected to improve the scientific community's knowledge of construction management.
{"title":"Delays in construction projects - causes and impacts","authors":"Amílcar Arantes, Pedro Fernandez da Silva, L. Ferreira","doi":"10.1109/IESM.2015.7380293","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380293","url":null,"abstract":"The main aim of this paper is to identify the main causes for the delays in the Portuguese construction industry and its impact, with the purpose of increasing knowledge on the causes and impacts of delays in construction projects. The Relative Importance Index was adopted to classify the importance of the 47 causes and six impacts identified causes of delays. Results show the main causes of delay are slow decision-making, changes to orders, unrealistic timescales and poor contract specifications, financial constraints on the contractor and the type of bidding and contract award process. The main impacts are time and cost overruns and disputes. Factor analysis revealed eight high-level causes that result in 26 of the original causes. Finally, Pearson correlation coefficients were calculated to find the relationship between the extracted factors (latent causes) and impacts, revealing that lack of commitment and substandard contracts are positively correlated with all impacts, and poor consultant performance is negatively correlated with time overrun. These findings are expected to improve the scientific community's knowledge of construction management.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126272328","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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