@article { author = {Barghash, Mahmoud. A. and Al-Qatawneh, Lina and Ramadan, Saleem and Dababneh, Awwad}, title = {Analytical Hierarchy Process Applied to Supermarket Layout Selection}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {215-226}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.54706}, abstract = {In many cases, supermarkets are founded on rental of already built property and in this case, the space is accepted as is. It is imperative in this case that the supermarket be designed to achieve multiple objectives such as ease of roaming, display area, special display areas etc. It is important for any store to have a good design, because it will be reflected on the customer’s satisfaction, which in turn will increase sales and will ease customer flow. Several possible ready-made designs are available in the literature such as Grid, loop, and mixed. When implemented on the current space limitations, they can have different achievement for the objectives of the design. Analytical Hierarchy process (AHP) represents a suitable technique for comparing these designs and reaching the final layout design selection. AHP layout selection is applied to a local supermarket and different layouts were generated. The design objectives are then evaluated for each of the layouts. It was concluded initially there is variability in the objectives achieved by the different designs, and a suitable multi-objective technique is required to select the final design. AHP is used to determine which of the designs was the most suitable through multiple comparison and consistency check. The results showed that the grid design was the most suitable for the current case study.}, keywords = {Supermarket Layout,Selection Criteria,Analytical Hierarchy Process}, url = {https://www.journal-aprie.com/article_54706.html}, eprint = {https://www.journal-aprie.com/article_54706_af86362d8feb4ea6b96e7a3d2cd2dd40.pdf} } @article { author = {Kapuria, Taposh Kumar and Rahman, Mustafizur and Haldar, Shuvo}, title = {Root Cause Analysis and Productivity Improvement Of An Apparel Industry In Bangladesh Through Kaizen Implementation}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {227-239}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.108637.1025}, abstract = {Garments industry is playing the pioneering role in improving Bangladesh economic condition. It was started in late 1970’s and now the leading foreign currency earner for Bangladesh. It’s no dubiousness to say that, the Bangladesh garment industry is ameliorating garment’s service quality and innovative design features to exist in the global competitive market. Global competition in the garment’s market is changing day to day. Leading garment manufacturer from all over the world are adopting new innovative features and techniques to sustain global fierce competitive market. But the point is, Bangladeshi garment manufacturers are not lingered. They are also emphasizing on better service quality by adding latest design features and using the latest technologies to the garments. The sole purpose of this paper is to identify the root causes of sewing defects of an apparel industry in Bangladesh and continuous improvement in reducing the defects through Kaizen (Continuous Improvement) system. In short, productivity improvement of the apparel industry. Our studied garment manufacturing company is “ABONTI Color Tex. Ltd.”. Pareto Analysis is used to identify the top defect items. Cause-Effect Analysis helped to identify the root causes of sewing defects. Then, Kaizen is used for continuous improvement of the minimization of sewing defects.}, keywords = {Kaizen,Productivity Improvement,Pareto,Cause-Effect,Lean manufacturing}, url = {https://www.journal-aprie.com/article_54267.html}, eprint = {https://www.journal-aprie.com/article_54267_7fd87a9d5bccb2e1c0afdae08e6618b7.pdf} } @article { author = {Olaniyi Adeniran, Adetayo and Ben, Sidiq Okwudili}, title = {Understanding Econometric Modeling: Domestic Air Travel in Nigeria and Implication for Planning Process}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {240-251}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.97899.1018}, abstract = {For planning process, this study examined the econometric model of domestic air travel in Nigeria vis-à-vis some selected economic variables. Furthermore, quantitative (inferential) statistics has used which relies on data obtained from relevant government institutions in Nigeria. Also the model was estimated using Ordinary Least Square (OLS) regression. From the estimate; the predictor variables constant revealed that Domestic Passenger demand is a negative value which signifies that the predictors (economic variables) cannot give true estimate of the domestic airline forecast regardless of the positive regression coefficient for the predictors. On the other side, Domestic Passenger demand positively contributes to economic indicators. When validating the model estimate, test of significance revealed that there is no statistically significant relationship between the variables. Based on the insignificance, the model estimate cannot give a good forecast. Test for multicollinearity revealed that the coefficient of determination (R2) is 0.805 which is greater than 0.8. This signifies that there is a problem of multicollinearity. Based on this problem, the model estimate cannot give a good forecast. Goodness of fit test revealed that 80.5% of the dependent variable (Domestic Passenger demand) can be explained by the independent variables. The regression value signifies that the model can give a true forecast. Finally, based on the issues of validation, it is therefore concluded that the model cannot give a true forecast, hence economic indicators contributes little or no to air transport demand but rather air transport demand contributes significantly to economic indicators.}, keywords = {Econometric Model,Air transport demand,Transportation}, url = {https://www.journal-aprie.com/article_54268.html}, eprint = {https://www.journal-aprie.com/article_54268_efff4339385cb848aaaadd330d836a1e.pdf} } @article { author = {Abu-Rumman, Ala’ K. and Muslih, Iyad and Barghash, Mahmoud. A.}, title = {Life Cycle Costing of PV Generation System}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {252-258}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.54724}, abstract = {Life cycle costing (LCC) is a methodology used first time by the Department of Defense of United State, it’s an economic calculation of all costs propagated during the life span of any technical system. For Renewable Energy (RE) systems, LCC is a good methodology, which shows the cost-effectiveness of using RE as an alternative source compared to conventional power generations. A LCC model was introduced for PV generation system. Data collection was done through four different cost data sources. The results shows that the average module price is $0.56/Wp and the capital investment cost is $1.184/Wp. For a 20 years PV project life-time, the operation and maintenance cost forms 27% of the total LCC of the system.}, keywords = {Life Cycle Costing,PV system,PV Module,Maintenance Cost}, url = {https://www.journal-aprie.com/article_54724.html}, eprint = {https://www.journal-aprie.com/article_54724_4e5a256ff89a93cd0a5b12c5116c96f3.pdf} } @article { author = {Roshan, Hadi and Afsharinezhad, Masoumeh}, title = {The new approach in market segmentation by using RFM model}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {259-267}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.91297.1011}, abstract = {Data analytics allows companies mining the patterns and trends in their customers data to implement more effective market segmentation strategies, then customize promotional offers, allocate marketing resources efficiently, and improve customer relationship management. However the implementation of such strategies often hampered by limited budgets and the ever-changing priorities and goals of marketing campaigns. So, This paper suggests and demonstrates the novel approach dividing a broad target market into subsets of consumers who have common needs, interests, and priorities, and then designing and implementing strategies to target them to achieve profit maximization. Therefore, the aims of this study are twofold, first, is to use historical data (such as purchased items and the associative monetary expenses), the proposed model identifies customer segments based on Firefly Algorithm (FA). Second, is the identification of the most profitable segment according to the RFM model (recency, frequency and monetary). In this article real marketing data are used to illustrate the proposed approach.}, keywords = {Customer segmentation,Profitably,Fire fly algorithm,RFM model}, url = {https://www.journal-aprie.com/article_53422.html}, eprint = {https://www.journal-aprie.com/article_53422_536598f5e6bb29cb85ae20b09930b8ce.pdf} } @article { author = {Abu-Alshaikh, Ibrahim Mousa}, title = {A new Technique for Investigating the Dynamic Response of a Beam Subjected to a Load-Moaving System}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {268-278}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.54714}, abstract = {The dynamic response of a homogeneous elastic simply-supported beam subjected to a load system moving with a uniform velocity is studied in detail in this paper. Analytical expressions for the dynamic responses of the beam and the load-moving system are obtained by means of a new technique using decomposition method whereby the generalized displacement of the beam is written as an infinite series. The method is versatile and simple so that its application to other related problems is possible. Comparisons between different cases of load-moving systems are made clear. Interaction, load, mass, velocity effects on the beam as well as on the load-moving system are investigated. It is concluded that the inertia effect of the load-moving system cannot be neglected when the traveling velocity and its mass ratio to that of the beam are large. }, keywords = {Decomposition Method,Load-Moving Systems,Simply-Supported Beam}, url = {https://www.journal-aprie.com/article_54714.html}, eprint = {https://www.journal-aprie.com/article_54714_a8c1d4c6e47e739bcc739bfd75a00910.pdf} } @article { author = {Al-Hawamdeh, Othman and Abu-Alshaikh, Ibrahim Mousa and Al-Huniti, Naser}, title = {Finite Element Coding of Functionally Graded Beams under Various Boundary and Loading Conditions}, journal = {Journal of Applied Research on Industrial Engineering}, volume = {4}, number = {4}, pages = {279-290}, year = {2017}, publisher = {Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education}, issn = {2538-5100}, eissn = {2676-6167}, doi = {10.22105/jarie.2017.54713}, abstract = {Detailed formulation and coding of exact finite element is carried out to study the static behavior of a layered beam structure. The beam element is modelled based on the first-order shear deformation theory and it is assumed to be composed of three layers whereas the middle layer is made of functionally graded material (FGM), i.e. with variable elastic properties in the thickness direction. The shape of the FGM mechanical properties variation in the thickness direction takes the form of exponential or power-law. The governing equations and boundary conditions are derived by applying the virtual work principle. Variations of displacements along the beam and stresses across the depth due to mechanical loadings are investigated. Comparative examples are carried out to highlight the static behavior difference between FGM layered beams and pure metal-ceramic beams.}, keywords = {Beam Structure,Shear Deformation Theory,Functionally Graded Material}, url = {https://www.journal-aprie.com/article_54713.html}, eprint = {https://www.journal-aprie.com/article_54713_b66b4694db7c9da855711d32d41fa607.pdf} }