UD. Kilang Minyak Hidup Baru merupakan perusahaan yang bergerak di bidang pengolahan kelapa menjadi minyak kelapa. UD. Kilang Minyak Hidup Baru memiliki banyak stasiun kerja yaitu stasiun penyimpanan bahan baku, stasiun parutan kelapa, stasiun perebusan, stasiun pengadukan ampas masak, dan stasiun press. Objek penelitian yang diambil yaitu di stasiun pengadukan ampas masak. Petugas yang diteliti berjumlah dua orang dengan jam kerja 8 jam perhari. Berdasarkan observasi, postur kerja operator termasuk dalam postur kerja berisiko namun belum pernah dilakukan pengukuran. Tujuan penelitian ini adalah untuk mengetahui hasil pengukuran postur kerja pengadukan ampas masak dengan menggunakan metode Workplace Ergonomic Risk Assesment (WERA). Hasil penelitian menunjukkan bahwa pengukuran postur kerja menggunakan metode WERA berada pada tingkat risiko medium. Tingkat risiko tersebut mengindikasikan bahwa dibutuhkan investigasi lebih lanjut dan perbaikan pada sistem kerja.
{"title":"PENGUKURAN POSTUR KERJA PADA OPERATOR PRODUKSI PENGADUKAN AMPAS MASAK MENGGUNAKAN METODE WERA DI UD. KILANG MINYAK HIDUP BARU","authors":"Cut Ita Erliana","doi":"10.53912/iejm.v10i1.651","DOIUrl":"https://doi.org/10.53912/iejm.v10i1.651","url":null,"abstract":"UD. Kilang Minyak Hidup Baru merupakan perusahaan yang bergerak di bidang pengolahan kelapa menjadi minyak kelapa. UD. Kilang Minyak Hidup Baru memiliki banyak stasiun kerja yaitu stasiun penyimpanan bahan baku, stasiun parutan kelapa, stasiun perebusan, stasiun pengadukan ampas masak, dan stasiun press. Objek penelitian yang diambil yaitu di stasiun pengadukan ampas masak. Petugas yang diteliti berjumlah dua orang dengan jam kerja 8 jam perhari. Berdasarkan observasi, postur kerja operator termasuk dalam postur kerja berisiko namun belum pernah dilakukan pengukuran. Tujuan penelitian ini adalah untuk mengetahui hasil pengukuran postur kerja pengadukan ampas masak dengan menggunakan metode Workplace Ergonomic Risk Assesment (WERA). Hasil penelitian menunjukkan bahwa pengukuran postur kerja menggunakan metode WERA berada pada tingkat risiko medium. Tingkat risiko tersebut mengindikasikan bahwa dibutuhkan investigasi lebih lanjut dan perbaikan pada sistem kerja.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81299518","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}
Muhammad Zakaria, Syukriah Syukriah, Rika Ayu Selvia
PT. Wijaya Karya Beton merupakan salah satu perusahaan yang bergerak dalam industri pembuatan tiang beton yang berlokasi di jalan Medan – Binjai Km 15,5 Desa Sei Semayang Kecamatan Sunggal, Kabupaten Deli Serdang. Perusahaan ini berproduksi bersadasarkan pesanan (make to order). Dimana permintaan yang tinggi akan menjadi keuntungan bagi perusahaan tetapi akan menjadi kerugian bagi perusahaan apabila tidak dapat memenuhi pesanan tepat waktu. Berdasarkan data masa lalu PT. Wijaya Karya Beton mengalami permintaan yang berfluktuatif dari bulan Januari- Desember 2019 namun tidak mempertimbangkan sumberdaya kapasitas produksi yang tersedia sehingga terjadi keterlambatan dalam menyelesaikan produk. Penelitian ini bertujuan untuk mengetahui kebutuhan kapasitas produksi dengan metode rough cut capacity planning serta menggunakan perhitungan peramalan sebagai acuan permintaan konsumen dimasa yang akan datang. Berdasarkan hasil laporan RCCP kekurangan kapasitas terjadi pada work centre III, V, VI, VII. Pada work centre III kekurangan kapasitas sebesar 114 jam dan pada work centre V kekurangan kapasitas sebesar 116 jam, langkah yang dilakukan untuk mengatasi kekurangan kapasitas dengan melakukan penyesuaian (readjustment) kapasitas dengan memindahkan beban kerja ke periode yang mengalami kelebihan kapasitas. Pada work centre VI kekurangan kapasitas sebesar 29140 jam dan pada work centre VII kekurangan kapasitas sebesar 2435 jam, langkah yang dilakukan untuk mengatasi kekurangan kapasitas dengan menambahkan jam kerja lembur disetiap bulannya. Setelah dilakukan penyesuain (readjustment) dan penambahan jam kerja lembur maka kapasitas untuk setiap work centre dapat terpenuhi.
PT. Wijaya混凝土产品是位于Medan street的混凝土铸造厂之一。这家公司根据订单生产。高需求会给公司带来好处，但如果公司不能按时完成订单，就会成为损失。根据PT. Wijaya混凝土公司过去的数据，自2019年1月至12月以来，该公司一直在经历一种产品波动的需求，但考虑到现有生产能力，因此无法完成产品。本研究的目的是用不公平切割卡帕城计划的方法来确定生产能力的需求，并将预测计算作为未来消费者需求的参照。根据RCCP报告，工作中心III、V、VI、VII中出现能力不足。在工作中心工作缺乏114小时的能力，而工作中心V缺少116小时的能力，通过调整能力来解决能力不足，将工作负荷转移到工作负荷过重的时期。在工作中心6号缺少29140小时的容量，工作中心缺少2435小时的容量，正在采取措施，通过增加每月的加班时间来解决能力不足。一旦调整和加班，每个工作中心的能力就会得到满足。
{"title":"ANALISIS KEBUTUHAN KAPASITAS PRODUKSI DENGAN MENGGUNAKAN METODE ROUGH CUT CAPACITY PLANNING DI PT WIJAYA KARYA BETON","authors":"Muhammad Zakaria, Syukriah Syukriah, Rika Ayu Selvia","doi":"10.53912/iejm.v10i1.624","DOIUrl":"https://doi.org/10.53912/iejm.v10i1.624","url":null,"abstract":"PT. Wijaya Karya Beton merupakan salah satu perusahaan yang bergerak dalam industri pembuatan tiang beton yang berlokasi di jalan Medan – Binjai Km 15,5 Desa Sei Semayang Kecamatan Sunggal, Kabupaten Deli Serdang. Perusahaan ini berproduksi bersadasarkan pesanan (make to order). Dimana permintaan yang tinggi akan menjadi keuntungan bagi perusahaan tetapi akan menjadi kerugian bagi perusahaan apabila tidak dapat memenuhi pesanan tepat waktu. Berdasarkan data masa lalu PT. Wijaya Karya Beton mengalami permintaan yang berfluktuatif dari bulan Januari- Desember 2019 namun tidak mempertimbangkan sumberdaya kapasitas produksi yang tersedia sehingga terjadi keterlambatan dalam menyelesaikan produk. Penelitian ini bertujuan untuk mengetahui kebutuhan kapasitas produksi dengan metode rough cut capacity planning serta menggunakan perhitungan peramalan sebagai acuan permintaan konsumen dimasa yang akan datang. Berdasarkan hasil laporan RCCP kekurangan kapasitas terjadi pada work centre III, V, VI, VII. Pada work centre III kekurangan kapasitas sebesar 114 jam dan pada work centre V kekurangan kapasitas sebesar 116 jam, langkah yang dilakukan untuk mengatasi kekurangan kapasitas dengan melakukan penyesuaian (readjustment) kapasitas dengan memindahkan beban kerja ke periode yang mengalami kelebihan kapasitas. Pada work centre VI kekurangan kapasitas sebesar 29140 jam dan pada work centre VII kekurangan kapasitas sebesar 2435 jam, langkah yang dilakukan untuk mengatasi kekurangan kapasitas dengan menambahkan jam kerja lembur disetiap bulannya. Setelah dilakukan penyesuain (readjustment) dan penambahan jam kerja lembur maka kapasitas untuk setiap work centre dapat terpenuhi.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74806605","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}
Beban kerja merupakan beban yang diterima oleh pekerja akibat pelaksanaan kerja, yang mana beban kerja ini diterima oleh tubuh akibat melaksanakan suatu aktivitas kerja. Stasiun boiler merupakan salah satu stasiun yang ada di PT Perkebunan Nusantara III PKS Sisumut. Ketel uap (boiler) digunakan sebagai sumber tenaga dan sumber uap yang akan dipakai untuk mengolah kelapa sawit.. Stasiun boiler mempunyai suhu ruangan sebesar 29-420C akibat dipengaruhi oleh paparan panas dari tungku pembakaran boiler. Operator bekerja selama 8 jam kerja per hari dan berada di lingkungan kerja yang panas. Melalui pengukuran beban kerja, maka akan diketahui apakah kerja beban kerja seorang operator sudah optimal dengan adanya pengaruh temperatur disekitar lingkungan. Beban kerja yang diperoleh dari perhitungan komsumsi energi didapat hasil nilai rata-rata E = 8,031 Kkal/menit dan nilai rata-rata %CVL = 60,39 (kerja dalam waktu singkat) dikategorikan bahwa beban kerja operator merupakan beban kerja berat yang berarti operator tidak diperbolehkan beraktivitas dalam waktu yang lama. Dan temperatur yang diperoleh dari perhitungan rata-rata nilai ISBB pada stasiun boiler adalah 33,50C. Hal ini menunjukkan bahwa iklim kerja di stasiun boiler melebihi NAB. Dengan demikian, temperatur pada lingkungan kerja merupakan salah satu penyebab terjadinya kelelahan operator boiler saat bekerja. Berdasarkan persamaan regresi antara denyut nadi kerja dan temperatur diperoleh nilai korelasi 1,000. Hal ini menunjukkan bahwa denyut nadi kerja mempunyai hubungan antara denyut nadi kerja dengan temperatur. Semakin tinggi temperatur maka denyut nadi juga akan semakin cepat.
工作负荷是工人因为工作而得到的负担，这是身体通过进行工作活动而得到的负担。锅炉站是PT种植园Nusantara III PKS Sisumut的一个站。锅炉被用作处理油棕的电源和蒸汽来源。锅炉站的室温为29-420C，这是由于锅炉炉灶的热力。操作人员每天工作8个小时，在炎热的环境中工作。通过测量工作量，可以知道操作员的工作量是否在环境周围的温度影响下处于最佳状态。从能源消费量计算中获得的工作量是E = 8.031 Kkal/分钟的平均得分，而%CVL = 60.39(工作时间短)的平均得分是60.39(工作时间短)，这意味着运营商不允许长期活动。从锅炉站的ISBB平均值计算中获得的温度是33.50c。这表明锅炉站的工作气候超过了NAB。因此，工作环境中的温度是锅炉操作员工作时疲劳的原因之一。基于工作脉冲和温度之间的回归方程获得相关性1000。这表明工作脉冲与温度之间有联系。温度越高，脉搏就越快。
{"title":"ANALISIS BEBAN KERJA OPERATOR BAGIAN BOILER DENGAN LINGKUNGAN KERJA FISIK DI PT. PERKEBUNAN NUSANTARA III PKS SISUMUT","authors":"S. Syarifuddin, Ayrianti Melinda Pane, M. Muzakir","doi":"10.53912/iejm.v10i1.623","DOIUrl":"https://doi.org/10.53912/iejm.v10i1.623","url":null,"abstract":"Beban kerja merupakan beban yang diterima oleh pekerja akibat pelaksanaan kerja, yang mana beban kerja ini diterima oleh tubuh akibat melaksanakan suatu aktivitas kerja. Stasiun boiler merupakan salah satu stasiun yang ada di PT Perkebunan Nusantara III PKS Sisumut. Ketel uap (boiler) digunakan sebagai sumber tenaga dan sumber uap yang akan dipakai untuk mengolah kelapa sawit.. Stasiun boiler mempunyai suhu ruangan sebesar 29-420C akibat dipengaruhi oleh paparan panas dari tungku pembakaran boiler. Operator bekerja selama 8 jam kerja per hari dan berada di lingkungan kerja yang panas. Melalui pengukuran beban kerja, maka akan diketahui apakah kerja beban kerja seorang operator sudah optimal dengan adanya pengaruh temperatur disekitar lingkungan. Beban kerja yang diperoleh dari perhitungan komsumsi energi didapat hasil nilai rata-rata E = 8,031 Kkal/menit dan nilai rata-rata %CVL = 60,39 (kerja dalam waktu singkat) dikategorikan bahwa beban kerja operator merupakan beban kerja berat yang berarti operator tidak diperbolehkan beraktivitas dalam waktu yang lama. Dan temperatur yang diperoleh dari perhitungan rata-rata nilai ISBB pada stasiun boiler adalah 33,50C. Hal ini menunjukkan bahwa iklim kerja di stasiun boiler melebihi NAB. Dengan demikian, temperatur pada lingkungan kerja merupakan salah satu penyebab terjadinya kelelahan operator boiler saat bekerja. Berdasarkan persamaan regresi antara denyut nadi kerja dan temperatur diperoleh nilai korelasi 1,000. Hal ini menunjukkan bahwa denyut nadi kerja mempunyai hubungan antara denyut nadi kerja dengan temperatur. Semakin tinggi temperatur maka denyut nadi juga akan semakin cepat.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87075302","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1920761.1085
Davood Saremian, R. Noorossana, S. Raissi, P. Soleimani
Profile monitoring is one of the new statistical quality control methods used to evaluate the functional relationship between the descriptive and response variables to measure the process quality. Most of the studies in this field concern processes whose response variables follow the normal distribution function, but in many industries and services, this assumption is not true. The presence of outliers in the historical data set could have a deleterious effect on phase I parameter estimation. Therefore, in this paper, we propose a robust cluster-based method for estimating the parameters of generalized linear profiles in phase I. In this method, the effect of data contamination on estimating the generalized linear model parameters is reduced and as a result, the performance of T^2 control charts is improved. The performance of this method has been evaluated for two specific modes of generalized linear profiles, including logistic and Poisson profiles, based on a step shift. The simulation results indicate the superiority of this cluster-based method in comparison to the non-clustering method and provide a more accurate estimation of the parameters.
{"title":"Robust Cluster-Based method for monitoring generalized linear profiles in phase I","authors":"Davood Saremian, R. Noorossana, S. Raissi, P. Soleimani","doi":"10.30495/JIEI.2021.1920761.1085","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1920761.1085","url":null,"abstract":"Profile monitoring is one of the new statistical quality control methods used to evaluate the functional relationship between the descriptive and response variables to measure the process quality. Most of the studies in this field concern processes whose response variables follow the normal distribution function, but in many industries and services, this assumption is not true. The presence of outliers in the historical data set could have a deleterious effect on phase I parameter estimation. Therefore, in this paper, we propose a robust cluster-based method for estimating the parameters of generalized linear profiles in phase I. In this method, the effect of data contamination on estimating the generalized linear model parameters is reduced and as a result, the performance of T^2 control charts is improved. The performance of this method has been evaluated for two specific modes of generalized linear profiles, including logistic and Poisson profiles, based on a step shift. The simulation results indicate the superiority of this cluster-based method in comparison to the non-clustering method and provide a more accurate estimation of the parameters.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"18 1","pages":"88-97"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88838367","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1919032.1076
F. Salahi, A. Daneshvar, M. Homayounfar, M. Shokouhifar
Today, with the development of Information Technology (IT) and economic globalization, the suppliers’ selection has been emphasized in supply chain systems. Accordingly, artificial intelligence-based methods have attracted much attention. Hence, in this research, the selection of appropriate suppliers with respect to the multi-resource supply policy, and the implementation of lateral transshipment have been studied, and meta-heuristic algorithms have been employed to solve the problem. In the proposed method, the supply chain network is improved by minimizing the inventory shortages through utilizing lateral transshipment between different factories. In order to efficiently solve the problem, a hybrid meta-heuristic algorithm based on population-based genetic algorithm (GA) and single-solution simulated annealing (SA), named GASA, is propose, in order to simultaneously gain with the advantages of both algorithms, i.e., global search ability of GA and local search ability of SA. In order to compare the results of the proposed GASA, it is compared with GA and SA, to find the best solution. Given the parameters optimization and conducted analyses and comparisons of primary and hybrid algorithms performance, the hybrid GASA algorithm has been identified as the most efficient algorithm to solve the problem,compared to the other algorithms, emphasizing cost reduction and shortage volume.
{"title":"A Comparative Study of Meta-heuristic Algorithms in Supply Chain Networks","authors":"F. Salahi, A. Daneshvar, M. Homayounfar, M. Shokouhifar","doi":"10.30495/JIEI.2021.1919032.1076","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1919032.1076","url":null,"abstract":"Today, with the development of Information Technology (IT) and economic globalization, the suppliers’ selection has been emphasized in supply chain systems. Accordingly, artificial intelligence-based methods have attracted much attention. Hence, in this research, the selection of appropriate suppliers with respect to the multi-resource supply policy, and the implementation of lateral transshipment have been studied, and meta-heuristic algorithms have been employed to solve the problem. In the proposed method, the supply chain network is improved by minimizing the inventory shortages through utilizing lateral transshipment between different factories. In order to efficiently solve the problem, a hybrid meta-heuristic algorithm based on population-based genetic algorithm (GA) and single-solution simulated annealing (SA), named GASA, is propose, in order to simultaneously gain with the advantages of both algorithms, i.e., global search ability of GA and local search ability of SA. In order to compare the results of the proposed GASA, it is compared with GA and SA, to find the best solution. Given the parameters optimization and conducted analyses and comparisons of primary and hybrid algorithms performance, the hybrid GASA algorithm has been identified as the most efficient algorithm to solve the problem,compared to the other algorithms, emphasizing cost reduction and shortage volume.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"58 1","pages":"52-62"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84784451","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1923885.1101
D. Shishebori, Hossein Shirani Bidabadi, A. A. Yazdi
Process capability indices play a vital role in evaluating the conformity of the process properties to the required specifications. Process incapability indices are created by transformation in the process capability indices, leading to the separation of information related to the process accuracy and precision. This separation of information can be very beneficial to specify whether the process is capable or not and to detect deviations in the production processes that produce high-tech products, such as the electronics industry. The main goal of this study is to propose a process incapability index by considering the measurement error for processes with multivariate quality characteristics. The efficiency of this index is then examined by a numerical example using Monte Carlo simulation method. Moreover, the performance of proposed approach is compared with the case where there is no measurement error. In addition, as a practical example, this index is compared with a number of recently proposed indices in the literature, and sensitivity analysis is conducted, as well. The simulation results showed that the measurement error has a significant effect on process capability and incapability indices. Therefore, we strongly suggest that the measurement error has to be considered in the process analysis.
{"title":"Multivariate incapability index for high technology manufacturing processes in presence of the measurement errors: A case study in electronic industry","authors":"D. Shishebori, Hossein Shirani Bidabadi, A. A. Yazdi","doi":"10.30495/JIEI.2021.1923885.1101","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1923885.1101","url":null,"abstract":"Process capability indices play a vital role in evaluating the conformity of the process properties to the required specifications. Process incapability indices are created by transformation in the process capability indices, leading to the separation of information related to the process accuracy and precision. This separation of information can be very beneficial to specify whether the process is capable or not and to detect deviations in the production processes that produce high-tech products, such as the electronics industry. The main goal of this study is to propose a process incapability index by considering the measurement error for processes with multivariate quality characteristics. The efficiency of this index is then examined by a numerical example using Monte Carlo simulation method. Moreover, the performance of proposed approach is compared with the case where there is no measurement error. In addition, as a practical example, this index is compared with a number of recently proposed indices in the literature, and sensitivity analysis is conducted, as well. The simulation results showed that the measurement error has a significant effect on process capability and incapability indices. Therefore, we strongly suggest that the measurement error has to be considered in the process analysis.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"15 1","pages":"14-31"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73164201","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1924887.1102
M. Ebrahimi, N. Pilevari
A truly renewable energy source, solar energy is considered within the context of climate change by various countries among which China, USA, and Germany rely more on solar power. Since there are rare studies regarding how energy drives secure access to sustainability, this study explores the role of solar energy generation in economic, social, and environmental sustainability and energy security in Iran as the main purpose. Using a system dynamics computer simulation model, this paper defines factors affecting the system including four sub-models such as energy and three aspects of sustainability. Besides, energy security is defined as the availability of adequate energy supply to satisfy existing demand. After determining a causal loop diagram, dynamic models, specific trends, and validation and simulation of the system, separate policies are presented along with a combined policy for system improvement. The policies include enhancing foreign investment, increasing tariffs of non-renewable energies, and decreasing energy intensity. This study further reviews relevant policies set forth in the USA, Germany, and China. According to the results, improvement policies are coming to an end. The main contributions are the insights into the sector to support policy-makers and finally, proposing policies for the system improvement.
{"title":"System Dynamics Modeling and Simulation to Analyze the Role of Solar Energy in Secure Access to Sustainability","authors":"M. Ebrahimi, N. Pilevari","doi":"10.30495/JIEI.2021.1924887.1102","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1924887.1102","url":null,"abstract":"A truly renewable energy source, solar energy is considered within the context of climate change by various countries among which China, USA, and Germany rely more on solar power. Since there are rare studies regarding how energy drives secure access to sustainability, this study explores the role of solar energy generation in economic, social, and environmental sustainability and energy security in Iran as the main purpose. Using a system dynamics computer simulation model, this paper defines factors affecting the system including four sub-models such as energy and three aspects of sustainability. Besides, energy security is defined as the availability of adequate energy supply to satisfy existing demand. After determining a causal loop diagram, dynamic models, specific trends, and validation and simulation of the system, separate policies are presented along with a combined policy for system improvement. The policies include enhancing foreign investment, increasing tariffs of non-renewable energies, and decreasing energy intensity. This study further reviews relevant policies set forth in the USA, Germany, and China. According to the results, improvement policies are coming to an end. The main contributions are the insights into the sector to support policy-makers and finally, proposing policies for the system improvement.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"4 1","pages":"63-77"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83806380","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1926554.1110
Zakaria Dahia, A. Bellaouar, J. Dron
This work presents a quantitative approach on the basis of Dynamic Bayesian Network to model and evaluate the maintenance of multi-state degraded systems and their functional dependencies. The reliability and the availability of system are evaluated taking into account the impact of maintenance repair strategies (perfect repair, imperfect repair and under condition-based maintenance (CBM)). According to transition relationships between the states modeled by the Markov process, a DBN model is established. Using the proposed approach, a DBN model for a separator Z1s system of Sour El-Ghozlane cement plant in Algeria is built and their performances are evaluated. Through the result of diagnostic, for improving the performances of separator, the components E, R and F should given more attention and the results of prediction evaluation show that in comparing with perfect repair strategy, the imperfect repair strategy cannot degrade the performances of separator, whereas the CBM strategy can improve the performances considerably. These results show the utility of this approach and its use in the context of a predictive evaluation process, which allows to offer the opportunity to evaluate the impact of the decisions made on the future performances measurement. In addition, the maintenance managers can optimize and improve maintenance decisions continuously.
{"title":"A dynamic approach for maintenance evaluation and optimization of multistate system","authors":"Zakaria Dahia, A. Bellaouar, J. Dron","doi":"10.30495/JIEI.2021.1926554.1110","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1926554.1110","url":null,"abstract":"This work presents a quantitative approach on the basis of Dynamic Bayesian Network to model and evaluate the maintenance of multi-state degraded systems and their functional dependencies. The reliability and the availability of system are evaluated taking into account the impact of maintenance repair strategies (perfect repair, imperfect repair and under condition-based maintenance (CBM)). According to transition relationships between the states modeled by the Markov process, a DBN model is established. Using the proposed approach, a DBN model for a separator Z1s system of Sour El-Ghozlane cement plant in Algeria is built and their performances are evaluated. Through the result of diagnostic, for improving the performances of separator, the components E, R and F should given more attention and the results of prediction evaluation show that in comparing with perfect repair strategy, the imperfect repair strategy cannot degrade the performances of separator, whereas the CBM strategy can improve the performances considerably. These results show the utility of this approach and its use in the context of a predictive evaluation process, which allows to offer the opportunity to evaluate the impact of the decisions made on the future performances measurement. In addition, the maintenance managers can optimize and improve maintenance decisions continuously.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"146 3","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72472997","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1919589.1079
F. Abdi
Abstract Lots of information about customers are stored in the databases of banks. These databases can be used to assess the credit risk. Feature selection is a well-known concept to reduce the dimension of such databases. In this paper, a multi-stage feature selection approach is proposed to reduce the dimension of database of an Iranian bank including 50 features. The first stage of this paper is devoted to removal of correlated features. The second stage of it is allocated to select the important features with genetic algorithm. The third stage is proposed to weight the variables using different filtering methods. The fourth stage selects feature through clustering algorithm. Finally, selected features are entered into the K-nearest neighbor (K-NN) and Decision Tree (DT) classification algorithms. The aim of the paper is to predict the likelihood of risk for each customer based on effective and optimum subset of features available from the customers.
{"title":"A New Multi-Stage Feature Selection and Classification Approach: Bank Customer Credit Risk Scoring","authors":"F. Abdi","doi":"10.30495/JIEI.2021.1919589.1079","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1919589.1079","url":null,"abstract":"Abstract Lots of information about customers are stored in the databases of banks. These databases can be used to assess the credit risk. Feature selection is a well-known concept to reduce the dimension of such databases. In this paper, a multi-stage feature selection approach is proposed to reduce the dimension of database of an Iranian bank including 50 features. The first stage of this paper is devoted to removal of correlated features. The second stage of it is allocated to select the important features with genetic algorithm. The third stage is proposed to weight the variables using different filtering methods. The fourth stage selects feature through clustering algorithm. Finally, selected features are entered into the K-nearest neighbor (K-NN) and Decision Tree (DT) classification algorithms. The aim of the paper is to predict the likelihood of risk for each customer based on effective and optimum subset of features available from the customers.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"19 1","pages":"78-87"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83323133","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 : 2021-03-01DOI: 10.30495/JIEI.2021.1918748.1075
Shima Harati, E. Roghanian, A. Hafezalkotob, A. Shojaie
The purpose of the current research is to present a location-routing-inventory model for perishable products. The presented model is applied in a two-stage structure. The first-stage decisions confirm the establishment of distribution centers, whereas the second-stage decisions determine the other variables of the problem. For a better management of inventory, it has been used under the names of fresher first and older first policies. In the fresher first policy, the fresher items have a priority to be sent to the customer, whereas in the older first policy, the items with a longer age have the priority to be sent to the customer. The summary of the results of the models demonstrates that among the free, fresher first, and older first policies, it is the free policy that offers a higher profit function to the customer than the other two policies since it is more flexible and general,and encompasses these two extremes. The free policy lets the model determine which items to sell at any given time period in order to maximize profit.Moreover, in the older first policy, since the older items reach the customers sooner than the other items, the number of the expired items is reduced. However, this policy brings the lowest revenue to the customer. In the fresher first policy, since the fresher items are sold first and then the older items are sold, the number of the expired items is increased along the customer horizon. Nevertheless, the customer obtains more revenue compared with the older first policy.
{"title":"A Location-Routing-Inventory Model for Perishable Items Using Fresher First and Older First Inventory Management Policies","authors":"Shima Harati, E. Roghanian, A. Hafezalkotob, A. Shojaie","doi":"10.30495/JIEI.2021.1918748.1075","DOIUrl":"https://doi.org/10.30495/JIEI.2021.1918748.1075","url":null,"abstract":"The purpose of the current research is to present a location-routing-inventory model for perishable products. The presented model is applied in a two-stage structure. The first-stage decisions confirm the establishment of distribution centers, whereas the second-stage decisions determine the other variables of the problem. For a better management of inventory, it has been used under the names of fresher first and older first policies. In the fresher first policy, the fresher items have a priority to be sent to the customer, whereas in the older first policy, the items with a longer age have the priority to be sent to the customer. The summary of the results of the models demonstrates that among the free, fresher first, and older first policies, it is the free policy that offers a higher profit function to the customer than the other two policies since it is more flexible and general,and encompasses these two extremes. The free policy lets the model determine which items to sell at any given time period in order to maximize profit.Moreover, in the older first policy, since the older items reach the customers sooner than the other items, the number of the expired items is reduced. However, this policy brings the lowest revenue to the customer. In the fresher first policy, since the fresher items are sold first and then the older items are sold, the number of the expired items is increased along the customer horizon. Nevertheless, the customer obtains more revenue compared with the older first policy.","PeriodicalId":37850,"journal":{"name":"Journal of Industrial Engineering International","volume":"97 1","pages":"32-41"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85650597","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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