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Aims: Sustainability modeling for conventional milling into CNC machine tool remanufacturing-upgrading. Study design: Remanufacturing-upgrading of conventional milling into CNC machine in its mechanical part, it is merely traditional remanufacturing process of conventional milling where gearbox can be eliminated due to use of motorized axes. Lead screws can be replaced with motorized ball screws. Heavy parts of machine bed such column, knee and saddle are reused. A group of criteria are selected to conduct comprehensive sustainability assessment of remanufacturing-upgrading process include: 1. Remanufacturing cost: It is the cost of milling remanufacturing into CNC machine. 2. Remanufacturing time: It is the duration of time required for milling remanufacturing into CNC machine. 3. Accuracy: It is an expected technical performance of remanufactured milling into CNC machine. 4. Reliability: It is an expected technical performance of remanufactured milling into CNC machine. 5. Processing efficiency: It is the man-hour based productivity efficiency of a remanufactured milling into CNC machine. 6. Processing range: It is the flexibility of remanufactured machine tool into CNC machine. 7. Ergonomics: It is the interaction among operator, remanufactured milling into CNC machine tool and other system unit through the cell of manufacturing. Conventional machine tool into CNC machine remanufacturing-upgrading experience is used to project the suitable literature comparatively to construct sustainability assessment model. Sustainability assessment models in field of remanufacturing-upgrading are reviewed and modified to accommodate new changes that accompany the current case study.
Place and Duration of Study: Middle Technical University, Institute of Technology-Baghdad, Mechanical Techniques Department, between February 2020 and July 2020. Methodology: Literature survey in area of remanufacturing assessment and remanufacturing sustainability assessment. Comparative literature based assessment application. Classification of literature sample. Re-representation of discussions and conclusions. Graphical representation of results. Isolation of criteria. Case study definition. Weighting of criteria. Triangular fuzzication of criteria. Weighting of satisfaction. Global weights calculation. Sustainability Index weight calculation. Results: Summation of sub-sustainabilities index weights is within limit of consistency. Environmental sustainability literature is predominated to be followed by economic and technical sustainbilities literature. Conclusion: Economic, environmental and social sub-sustainabilities are of good performances and directed toward sustainability. Social and management sustainability are interlinked and require more studies to be directed toward sustainability.
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Abdullah, Z. T., Sheng, G. S., & Yun, S. B. (2018). Conventional Milling Machine into CNC Machine Tool Remanufacturing, Eco-comparison Ratio Based Analysis. Current Journal of Applied Science and Technology, 1-18.
Abdulrahman, M. D. A., Subramanian, N., Liu, C., & Shu, C. (2015). Viability of remanufacturing practice: a strategic decision making framework for Chinese auto-parts companies. Journal of Cleaner Production, 105, 311-323.
Abullah, Z. T., Guo, S. S., & Yun, S. B. (2015, May). Remanufacturing aided added-value creation, innovations meeting to deliver sustainable manufacturing. In IOP Conference Series: Materials Science and Engineering (Vol. 83, No. 1, p. 012021). IOP Publishing.
Amrina, E., Ramadhani, C., & Vilsi, A. (2016). A Fuzzy Multi Criteria Approach for Sustainable Manufacturing Evaluation in Cement Industry. Procedia CIRP, 40, 619-624.
Azadnia, A. H., Saman, M. Z. M., Wong, K. Y., Ghadimi, P., & Zakuan, N. (2012). Sustainable supplier selection based on self-organizing map neural network and multi criteria decision making approaches. Procedia-Social and Behavioral Sciences, 65, 879-884.
Du, Y., & Li, C. (2014). Implementing energy-saving and environmental-benign paradigm: machine tool remanufacturing by OEMs in China. Journal of Cleaner Production, 66, 272-279.
Du, Y., Cao, H., Liu, F., Li, C., & Chen, X. (2012). An integrated method for evaluating the remanufacturability of used machine tool. Journal of Cleaner Production, 20(1), 82-91.
Du, Y., Zheng, Y., Wu, G., & Tang, Y. (2020). Decision-making method of heavy-duty machine tool remanufacturing based on AHP-entropy weight and extension theory. Journal of Cleaner Production, 252, 119607.
Dweiri, F., Khan, S. A., & Almulla, A. (2018). A multi-criteria decision support system to rank sustainable desalination plant location criteria. Desalination, 444, 26-34.
Fallahpour, A., Olugu, E. U., Musa, S. N., Wong, K. Y., & Noori, S. (2017). A decision support model for sustainable supplier selection in sustainable supply chain management. Computers & Industrial Engineering, 105, 391-410.
Golinsk, P., Kosack, M., Mierzwiak, R., & Werner-Lewandowsk, K. (2019). Grey Development of a sustainability assessment index for machine tools. Journal of Cleaner Production, 80, 156-161.
Golinska, P., Kosacka, M., Mierzwiak, R., & Werner-Lewandowska, K. (2015). Grey decision making as a tool for the classification of the sustainability level of remanufacturing companies. Journal of Cleaner Production, 105, 28-40.
Gören, H. G. (2018). A decision framework for sustainable supplier selection and order allocation with lost sales. Journal of Cleaner Production, 183, 1156-1169.
Hugh Currin (n.d.). CNC Mill Conversion – Mechanical. Retrieved from http://www.currin.us/machining/cnc/mechanical.shtml.
Jiang, Z., Ding, Z., Zhang, H., Cai, W., & Liu, Y. (2019). Data-driven ecological performance evaluation for remanufacturing process. Energy Conversion and Management, 198, 111844.
Jiang, Z., Wang, H., Zhang, H., Mendis, G., & Sutherland, J. W. (2019). Value recovery options portfolio optimization for remanufacturing end of life product. Journal of Cleaner Production, 210, 419-431.
Jiang, Z., Zhang, H., & Sutherland, J. W. (2011). Development of multi-criteria decision making model for remanufacturing technology portfolio selection. Journal of Cleaner Production, 19(17-18), 1939-1945.
Jiang, Z., Zhou, T., Zhang, H., Wang, Y., Cao, H., & Tian, G. (2016). Reliability and cost optimization for remanufacturing process planning. Journal of cleaner production, 135, 1602-1610.
Jun, Y. S., Jo, H. J., Kim, Y. C., Kang, H. Y., Hwang, Y. W., & Kim, Y. W. (2020). Analysis of Potential Economic and Environmental Effects through Remanufacturing of Construction Equipment in Korea. Procedia Manufacturing, 43, 620-626.
Kannan, D. (2018). Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics, 195, 391-418.
Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., & Kusi-Sarpong, H. (2018). Supplier sustainability performance evaluation and selection: A framework and methodology. Journal of Cleaner Production, 205, 964-979.
Li, J., Fang, H., & Song, W. (2019). Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach. Journal of Cleaner Production, 222, 606-621.
Liu, Q., Shang, Z., Ding, K., Guo, L., & Zhang, L. (2019). Multi-process routes based remanufacturability assessment and associated application on production decision. Journal of Cleaner Production, 240, 118114.
Luthra, S., Govindan, K., Kannan, D., Mangla, S. K., & Garg, C. P. (2017). An integrated framework for sustainable supplier selection and evaluation in supply chains. Journal of Cleaner Production, 140, 1686-1698.
MicroKinetics Corporation. (2020). Retrieved from https://www.microkinetics.com/index.php
Mohammed, A., Setchi, R., Filip, M., Harris, I., & Li, X. (2018). An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production, 192, 99-114.
Mok, H. S., Song, H. S., Kim, D. J., Hong, J. E., Lee, S. M., & Ahn, J. T. (2015). Determination of Failure Cause in Remanufacturing. Procedia Engineering, 100, 14-23.
Mumford Micro Systems. (n.d.). A Homebrew CNC Milling Machine. Retrieved from https://www.bmumford.com/cncmill/.
Omwando, T. A., Otieno, W. A., Farahani, S., & Ross, A. D. (2018). A Bi-level fuzzy analytical decision support tool for assessing product remanufacturability. Journal of cleaner production, 174, 1534-1549.
Peng, S., Li, T., Li, M., Guo, Y., Shi, J., Tan, G. Z., & Zhang, H. (2019). An integrated decision model of restoring technologies selection for engine remanufacturing practice. Journal of Cleaner Production, 206, 598-610.
Pinterest (n.d.). Small mill reconditioning and conversion. Retrieved from https://www.pinterest.com/pin/357473289147037579/
Pishchulov, G., Trautrims, A., Chesney, T., Gold, S., & Schwab, L. (2019). The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection. International Journal of Production Economics, 211, 166-179.
PNGWING. (n.d.). Milling Ajax Machine Tools International LTD Grinding machine Computer numerical control. Retrieved from https://www.pngwing.com/en/free-png-xzfqs
Rosso-Cerón, A. M., Kafarov, V., Latorre-Bayona, G., & Quijano-Hurtado, R. (2019). A novel hybrid approach based on fuzzy multi-criteria decision-making tools for assessing sustainable alternatives of power generation in San Andrés Island. Renewable and Sustainable Energy Reviews, 110, 159-173.
Song, W., Xu, Z., & Liu, H. C. (2017). Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: An integrated approach. Renewable and sustainable energy reviews, 79, 1461-1471.
Subramoniam, R., Huisingh, D., Chinnam, R. B., & Subramoniam, S. (2013). Remanufacturing Decision-Making Framework (RDMF): research validation using the analytical hierarchical process. Journal of Cleaner Production, 40, 212-220.
Tian, G., Chu, J., Hu, H., & Li, H. (2014). Technology innovation system and its integrated structure for automotive components remanufacturing industry development in China. Journal of Cleaner Production, 85, 419-432.
Wang, H., Jiang, Z., Zhang, X., Wang, Y., & Wang, Y. (2017). A fault feature characterization based method for remanufacturing process planning optimization. Journal of Cleaner Production, 161, 708-719.
Xia, X. H., Zeng, Y., Wang, L., Cao, J. H., & Liu, X. (2019). The Selection Method of Remanufacturing Service Knowledge Resource Based on DANP-GS. Procedia CIRP, 80, 560-565.
Zheng, H., Li, E., Wang, Y., Shi, P., Xu, B., & Yang, S. (2019). Environmental life cycle assessment of remanufactured engines with advanced restoring technologies. Robotics and Computer-Integrated Manufacturing, 59, 213-221.