@article { author = {Moradi, N. and Shadrokh, Sh.}, title = {A simulated annealing optimization algorithm for equal and un-equal area construction site layout problem}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {89-104}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.169867.1073}, abstract = {Construction Site Layout Planning (CSLP) is an important problem because of its impact on time, cost, productivity, and safety of the projects. In this paper, CSLP is formulated by the Quadratic Assignment Problem (QAP). At first, two case studies including equal and un-equal area facilities are solved by the simulated annealing optimization algorithm. Then, the obtained results are compared with the other papers. The comparisons show that the proposed Simulated Annealing (SA) is as efficient as ACO, PSO, CBO, ECBO, WOA, WOA-CBO, and ACO-PA which have been proposed by other papers for the same problems. As a result, the comparisons show that SA is as capable as other meta-heuristics of solving the combinatorial optimization problems like CSLP, while the hardware properties and computational times have been compared. Besides the comparisons, the design of experiments shows the relationship between each SA parameter and the computational time of the algorithm. Also, the history of convergence of the proposed SA indicates the high speed of reaching the optimal solution and the artificial intelligence of the proposed SA.}, keywords = {construction project,Construction site layout planning,Quadratic assignment problem,Simulated Annealing}, url = {https://www.riejournal.com/article_82716.html}, eprint = {https://www.riejournal.com/article_82716_818248fa236900b05edbb5d2a9b868a9.pdf} } @article { author = {Ejigu, M.}, title = {Excessive sound noise risk assessment in textile mills of an Ethiopian-Kombolcha textile industry share company}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {105-114}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.169138.1071}, abstract = {In countries like Ethiopia, the textile industries are facing a big problem of sound noise pollution. In these countries, the industrial hearing conservation program is not yet clearly developed. Thus, characterizing excessive noise pollutions in textile industries have been the aim of this research project and Kombolcha Textile Mill (KTM) is chosen as the case study. The study is concerned with the noise exposure and its characteristics at the different section of the Textile Mill. Before the actual excessive noise level measurements were collected in the Textile Mill, main areas where measurements were done had to be identified. This was done by prior physical observation and A-Weighted time-averaged sound pressure levels (L_Aeq) survey. More than one hundred walkthrough measurement points were done inside the textile mill. These data were analyzed using MATLAB software packages. Based on our analysis, the spinning and the weaving sections of the mills with its unit processes were identified as potential noise pollution in the factory. On these sections, the measurements were done for 4 – 5 h/d. The instrument used for measurements was a precision integrated portable professional sound level meter. The findings revealed that the KTM employees are working in hazardous environments of above 90 dB, which is the recommended safe limit of noise in the working environment for 8 h used in international standard. As a result an engineering and administration programs which includes different methods of how to control the problem has been recommended for conserving hearing at the KTM.}, keywords = {Textile Mill,sound noise pollution,sound pressure levels,MATLAB software,sound level meter}, url = {https://www.riejournal.com/article_85623.html}, eprint = {https://www.riejournal.com/article_85623_e9bb0ae200bd66fd60ae3f78514b6792.pdf} } @article { author = {Hassanpour, M.}, title = {Evaluation of Iranian automotive industries}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {115-139}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.183148.1085}, abstract = {The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization and environment protection agency were reported to the presence of around 71 various kinds of Iranian Automotive Industries (IAI) and provided the data from initial screening once prior to set up industries and process by present research. Current cluster study is targeted to weight and rank all the IAI empirically via Simple Additive Weighting (SAW) and COmplex PRoportional ASsessment (COPRAS) methods supported with weighing systems of Friedman test and Entropy Shannon, SPSS IBM 20, and Excel 2013 software to process raw data. The SAW method is resulted to classify IAI from the largest industry to the smallest one depends on 5 criteria, such as the number of staff, energy consumed (water, fuel, and power), and the land area used. COPRAS model is assigned to rank IAI pertaining to both negative and positive criteria. Finally, awareness of input materials stream introduced into IAI cycle paves the way towards the development of studies related to industrial ecology and industry 4.0.}, keywords = {evaluation,COPRAS,Iranian automotive industries}, url = {https://www.riejournal.com/article_90946.html}, eprint = {https://www.riejournal.com/article_90946_6fee826347e2edb171a9774f710fdbaa.pdf} } @article { author = {Shams, A. and Rabby, Md. F. and Istiak, Md. N.}, title = {Development of a maintenance schedule plan to improve the equipment efficiency of an industry: a case study}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {140-157}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.174907.1082}, abstract = {The aim of this study is to implement Total Productive Maintenance (TPM) in a continuous injection molding industry. By implementing TPM, the industry can increase their Overall Equipment Effectiveness (OEE) and productivity. Before implementing TPM, overall equipment efficiency, availability rate, performance rate, and quality rate of the injection molding machine were 74.9%, 88.54%, 88.5%, and 95.6%, respectively. It needs to be improved for good operating condition of machines. In this paper, some tools are suggested to improve their productivity and maintenance procedure. These tools are cause and effect diagram, Pareto chart, WWBLA, and preventive maintenance schedule. TPM program is to change the culture of the company maintenance policy with involvement of all employees toward the maintenance system of the company. Through the proper planning of maintenance schedule, productivity can be improved. This schedule helps to maintain machines in good operating conditions as well as a good OEE value, and a world class standard OEE is achieved.}, keywords = {Keywords: TPM,Cause and effect diagram,Pareto Chart}, url = {https://www.riejournal.com/article_90977.html}, eprint = {https://www.riejournal.com/article_90977_9abd75ef05870775a1ccc065489a48d9.pdf} } @article { author = {Mirzaei, S. H. and Salehi, A.}, title = {Ranking efficient DMUs using the Tchebycheff norm with fuzzy data in DEA}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {158-175}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.169577.1072}, abstract = {In many real applications, the data of production processes cannot be precisely measured. Hence the input and output of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA) may be imprecise or fuzzy-numbered. In original DEA models, inputs and outputs are measured by exact values on a ratio scale, therefore conventional DEA can't easily measure the performance of DMUs and rank them. The researchers have introduced mane deferent model for ranking DMUs by fuzzy number. In this paper, we proposed a new method by using the Tchebycheff norm for ranking DMUs with fuzzy data. We explain our method by numerical example with the triangular fuzzy number.}, keywords = {Data Envelopment Analysis,Ranking,Tchebycheff norm,Fuzzy System}, url = {https://www.riejournal.com/article_88475.html}, eprint = {https://www.riejournal.com/article_88475_9188efbe5ce5fb746a8b859816eeef1b.pdf} } @article { author = {Ali, A.}, title = {Application of total productive maintenance in service organization}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {176-186}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.170507.1076}, abstract = {This paper discusses the application of TPM in copy centre in Woldia University located in Woldia town, north wollo, Amhara region, Ethiopia. The problem encountered in the centre includes long waiting time due to frequent breakdown of equipment, unpleasant work environment, defective product etc. This leads to disrupt of the university programs such as exams, trainings and so on. This paper uses TPM for solving the above mentioned problem by employing Overall equipment effectiveness (OEE). The OEE value on the centre is 35% which is less than world class standard of 85%. Therefore, the center needs urgent improvement in typical equipment maintenance management program. Advantages of TPM for the center includes better utilized equipment, clean and pleasant workplace, highly motivated employee, and satisfied customer.}, keywords = {Woldia University,Total Productive Maintenance (TPM),Overall Equipment Effectiveness (OEE),Copy centre}, url = {https://www.riejournal.com/article_85624.html}, eprint = {https://www.riejournal.com/article_85624_b67acad3518394ffa8a9e20f48370445.pdf} } @article { author = {Rahman, Md. and Hasan, Md. and Datta, Ms. B.}, title = {Ergonomic furniture design for secondary girls school in Bangladesh}, journal = {International Journal of Research in Industrial Engineering}, volume = {8}, number = {2}, pages = {187-202}, year = {2019}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2019.183323.1086}, abstract = {This study has been carried out to evaluate the number of mismatches between secondary girl student’s anthropometry and existing furniture dimensions in Bangladesh. In this study, 375 students (girls) are in classes 6-10 in the age group between 10-15 years that have randomly selected from three secondary girl schools in Bangladesh. Twelve anthropometric measurements and seven existing furniture dimensions were taken to find out the possible mismatch. A defined match criterion equation used to determine the mismatch. Various researchers gave these equations. The result indicates that there is a significant mismatch between anthropometric measurement and furniture dimensions. The highest mismatch percentage for seat height is about 90% for class 9. Therefore, 90% of girls use the seat that is too high (high mismatch). Mismatch percentage for seat depth is 100% for all classes. As a result, seat depth is so small for all students. Seat width is 100% for class 8 and 60% for class 9. The desktop height is about 100% mismatch for all classes. This paper also proposes dimensions for new furniture. The new furniture improves the match percentages from 50% to 100%.}, keywords = {Ergonomics,Anthropometry,Mismatch}, url = {https://www.riejournal.com/article_90945.html}, eprint = {https://www.riejournal.com/article_90945_27b9774a9cbe19fc6fa5a5160c265084.pdf} }