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dc.contributor.authorYuliawati, Evi
dc.date.accessioned2020-04-30T04:08:30Z
dc.date.available2020-04-30T04:08:30Z
dc.date.issued2020
dc.identifier.citationAbdulrahman, M. D., Gunasekaran, A., & Subramanian, N. (2014). Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors. International Journal of Production Economics, 147(PART B), 460–471. https://doi.org/10.1016/j.ijpe.2012.08.003 Atasu, A., Guide, J. V. D. R., & Van Wassenhove, L. N. (2008). Product Reuse Economics in Closed-Loop Supply Chain Research. Production And Operations Management, 17(5), 483– 496. https://doi.org/10.3401/poms.1080.0051 Barker, S., & King, A. (2007). Organizing reuse: managing the process of design for remanufacture (DFR). The Proceedings of POMS 18th Annual Conference, (007). Bouzon, M., Govindan, K., Taboada, C. M., & Campos, L. M. S. (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. “Resources, Conservation & Recycling.” https://doi.org/10.1016/j.resconrec.2015.05.021 Chen, D., Ignatius, J., Sun, D., Zhan, S., Zhou, C., Marra, M., & Demirbag, M. (2018). Reverse logistics pricing strategy for a green supply chain: A view of customers’ environmental awareness. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2018.08.031 Choudhary, N., & Singh, N. K. (2011). Remanufacturing in India: Approaches, Potentials & Technical challenges. International Journal Of Industrial Engineering And Technology, 3(3), 223–227. de Brito, M. P., & Dekker, R. (2004). A Framework for Reverse Logistics. Reverse Logistics, 3–27. https://doi.org/10.1007/978-3-540-24803-3_1 Galbreth, M. R., & Blackburn, J. D. (2006). Optimal acquisition and sorting policies for remanufacturing. Production and Operations Mangement, 15(3), 384–392. https://doi.org/10.1111/j.1937-5956.2006.tb00252.x Guide, V. D. R., & Van Wassenhove, L. N. (2009). The Evolution of Closed-Loop Supply Chain Research. Operations Research, 57(1), 10–18. https://doi.org/10.1287/opre.1080.0628 Liu, S., Kasturiratne, D., & Moizer, J. (2012). A hub-and-spoke model for multi-dimensional integration of green marketing and sustainable supply chain management. Industrial Marketing Management, 41(4), 581–588. https://doi.org/10.1016/j.indmarman.2012.04.005 Luthra, S., Kumar, V., Kumar, S., & Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique-an Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231–257. https://doi.org/10.3926/jiem.2011.v4n2.p231-257 Pigosso, D. C. A., Rozenfeld, H., & McAloone, T. C. (2013). Ecodesign maturity model: A management framework to support ecodesign implementation into manufacturing companies. Journal of Cleaner Production, 59, 160–173. https://doi.org/10.1016/j.jclepro.2013.06.040 Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. 72(April 2004), 1011–1029. https://doi.org/10.1016/j.techfore.2004.07.002 Sharma, S. K., Panda, B. N., Mahapatra, S. S., & Sahu, S. (2011). Analysis of Barriers for Reverse Logistics: An Indian Perspective. International Journal of Modeling and Optimization, 1(2), 101–106. https://doi.org/10.7763/ijmo.2011.v1.18 Srivastava, S. K. (2008). Value recovery network design for product returns. International Journal of Physical Distribution & Logistics Management, 38(4), 311–331. https://doi.org/10.1108/09600030810875409 Statham, S. (2006). Remanufacturing – Towards a More Sustainable Future. Electronics Enabled Products Knowledge-Transfer Network, 1–24. Subramoniam, R., Huisingh, D., & Babu, R. (2009). Remanufacturing for the automotive aftermarket-strategic factors : literature review and future research needs. Journal of Cleaner Production, 17(13), 1163–1174. https://doi.org/10.1016/j.jclepro.2009.03.004 Team, C. P. (2010). CMMI for Acquisition Version 1.3. In https://resources.sei.cmu.edu/asset_files/Techn icalReport/2010_005_001_15284.pdf. https://doi.org/10.1097/01.ccm.0000509728.19090.e6 Vaidyanathan, K., & Howell, G. (2007). Construction supply chain maturity model - Conceptual framework. Lean Construction: A New Paradigm for Managing Capital Projects - 15th IGLC Conference, (July), 170–180. van Griethuijsen, R. A. L. F., van Eijck, M. W., Haste, H., den Brok, P. J., Skinner, N. C., Mansour, N., … BouJaoude, S. (2015). Global patterns in students’ views of science and interest in science. Research in Science Education, 45(4), 581–603. https://doi.org/10.1007/s11165-014-9438-6 Wei, S., Cheng, D., Sundin, E., & Tang, O. (2015). Motives and barriers of the remanufacturing industry in China. Journal of Cleaner Production, 94, 340–351. https://doi.org/10.1016/j.jclepro.2015.02.014 Wooi, G. C., & Zailani, S. (2010). Green Supply Chain Initiatives: Investigation on the Barriers in the Context of SMEs in Malaysia. International Business Management, 4(1), 20–27.id_ID
dc.identifier.issn2621-0789
dc.identifier.urihttp://hdl.handle.net/11617/11971
dc.description.abstractPenelitian ini bertujuan mengukur tingkat keberhasilan perusahaan cartridge PT. XYZ dalam mengimplementasikan reverse logistics systems. Secara tradisional, aktivitas reverse logistics dikategorikan dalam tiga aspek yaitu : manajemen pengembalian produk (front end), isu operasional pada proses reverse (engine) dan pengembangan pasar produk recovery (back end). Tahapan penyelesaian penelitian diawali dengan pengumpulan data, yaitu melalui studi litertur, survei lapangan dan penyebaran kuesioner. Pada tahap ini disusun kerangka kerja yang terdiri dari tiga aspek reverse logistics system, lima tingkat kematangan model serta enam belas indikator. Selanjutnya adalah tahap pengujian validasi dan reliabilitas data. Tujuan dari tahap ini adalah pengujian terhadap alat ukur yang digunakan dalam penelitian, yang berupa kuesioner dalam skala likert. Setelah itu dilakukan konversi data kualitatif menjadi data kuantitatif. Tahap ini dilakukan dengan menggunakan Method Succesive Interval melalui Microsoft Excel. Dan sebagai langkah terakhir adalah penentuan maturity level. Penelitian ini menggunakan lima level maturity model, yaitu initial level, aware level, defined level, managed level dan optimizing level. Penilaian terhadap keberhasilan implementasi reverse logistics system menunjukkan bahwa PT. XYZ berada pada level managed. Selanjutnya, analisis pada masing-masing aspek menunjukkan bahwa aspek yang penting untuk ditingkatkan performansinya adalah aspek engine.id_ID
dc.language.isootherid_ID
dc.publisherIENACO (Industrial Engineering National Conference) 8 2020id_ID
dc.titlePenilaian Keberhasilan Implementasi Reverse Logistics System pada Perusahaan Cartridge PT. XYZid_ID
dc.typeArticleid_ID


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