Email Artikel ini The organic waste management supply chain performance evaluation strategy uses an Interpretive Structural Modeling approach
Sari
National Waste Management Information System shows that the amount of waste handled in Semarang City over the last three years has decreased with an average decline index of 1.06% per year. This is reinforced by the results of interviews with the Semarang City Environmental Service, that the handling of organic waste is still very limited because so far the handling has been more focused on an-organic waste. Therefore, it is necessary to evaluate supply chain performance to determine the constraints in organic waste management from upstream to downstream. Based on the research results using the Interpretive Structural Modeling (ISM) method through a focus group discussion process involving eight experts in the field of waste management, it is known that the supply chain performance for handling organic waste in Semarang City has 11 elements of constraints, which are divided into seven priority levels. The element with the highest priority is related to the availability of organic waste supplies, while the element with the lowest priority is technological innovation and the application of appropriate technology. Improving the performance of organic waste management supply chains should focus on elements according to priority.
Kata Kunci
Teks Lengkap:
PDF (English)Referensi
P. Kaszycki, M. Głodniok, and P. Petryszak, “Towards a bio-based circular economy in organic waste management and wastewater treatment – The Polish perspective,” N Biotechnol, vol. 61, 2021, doi: 10.1016/j.nbt.2020.11.005.
O. Melnyk, V. Scliar, S. Sabadash, and V. Butova, “EU municipal organic wastes management and its implementation prospects in Ukraine,” Environmental and Climate Technologies, vol. 25, no. 1. 2021. doi: 10.2478/rtuect-2021-0014.
K. ur Rehman et al., “Black soldier fly, Hermetia illucens as a potential innovative and environmentally friendly tool for organic waste management: A mini-review,” Waste Management and Research, vol. 41, no. 1. 2023. doi: 10.1177/0734242X221105441.
J. A. Shukor, M. F. Omar, M. M. Kasim, M. H. Jamaludin, and M. A. Naim, “Assessment of composting technologies for organic waste management,” International Journal of Technology, vol. 9, no. 8, 2018, doi: 10.14716/ijtech.v9i8.2754.
L. Hénault-Ethier, J. P. Martin, and J. Housset, “A dynamic model for organic waste management in Quebec (D-MOWIQ) as a tool to review environmental, societal and economic perspectives of a waste management policy,” Waste Management, vol. 66, 2017, doi: 10.1016/j.wasman.2017.04.021.
R. van der Velden et al., “Closed-loop organic waste management systems for family farmers in Brazil,” Environmental Technology (United Kingdom), vol. 43, no. 15, 2022, doi: 10.1080/09593330.2021.1871660.
M. Rotthong, M. Takaoka, K. Oshita, P. Rachdawong, S. H. Gheewala, and T. Prapaspongsa, “Life Cycle Assessment of Integrated Municipal Organic Waste Management Systems in Thailand,” Sustainability (Switzerland), vol. 15, no. 1, 2023, doi: 10.3390/su15010090.
P. Chintapalli and A. Vakharia, “The waste management supply chain: a decision framework,” SSRN Electronic Journal, 2023, doi: 10.2139/ssrn.4348912.
M. Mohammadi, E. Martín-Hernández, M. Martín, and I. Harjunkoski, “Modeling and analysis of organic waste management systems in centralized and decentralized supply chains using Generalized Disjunctive Programming,” Ind Eng Chem Res, vol. 60, no. 4, 2021, doi: 10.1021/acs.iecr.0c04638.
S. Chopra and P. Meindl, Supply Chain Management. Strategy, Planning & Operation. 2007. doi: 10.1007/978-3-8349-9320-5_22.
O. Kwon and J. Han, “Organic-waste-derived butyric acid-to-biodiesel supply-chain network: Strategic planning design using a deterministic snapshot model,” J Environ Manage, vol. 293, 2021, doi: 10.1016/j.jenvman.2021.112848.
M. Hugos, ESSENTIALS of Supply Chain Management Third Edition Michael, no. November. 2008.
A. Novra, F. Fatati, D. Devitriano, and S. Syarif, “Compost fertilizer business supply chain management strategy for stability of potential added value of waste raw materials in Jambi province, Indonesia,” African Journal of Food, Agriculture, Nutrition and Development, vol. 23, no. 3, 2023, doi: 10.18697/ajfand.118.21625.
C. Hussain and S. Hait, Advanced Organic Waste Management: Sustainable Practices and Approaches. 2022. doi: 10.1016/B978-0-323-85792-5.00060-5.
C. Vlachokostas, “Closing the loop between energy production and waste management: A conceptual approach towards sustainable development,” Sustainability (Switzerland), vol. 12, no. 15, 2020, doi: 10.3390/su12155995.
G. Haseli, A. E. Torkayesh, M. Hajiaghaei-Keshteli, and S. Venghaus, “Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts,” Appl Soft Comput, vol. 137, 2023, doi: 10.1016/j.asoc.2023.110120.
S. Kharola et al., “Barriers to organic waste management in a circular economy,” J Clean Prod, vol. 362, 2022, doi: 10.1016/j.jclepro.2022.132282.
M. H. Sabki, C. T. Lee, C. P. C. Bong, Z. Zhang, C. Li, and J. J. Klemeš, “Sustainable organic waste management framework: A case study in Minhang district, Shanghai, China,” Chem Eng Trans, vol. 72, 2019, doi: 10.3303/CET1972002.
H. R. Kopaei, M. Nooripoor, A. Karami, and M. Ertz, “Modeling consumer home composting intentions for sustainable municipal organic waste management in iran,” AIMS Environ Sci, vol. 8, no. 1, 2021, doi: 10.3934/environsci.2021001.
N. Abdullah et al., “Integrated Approach to achieve a sustainable organic waste management system in Saudi Arabia,” Foods, vol. 11, no. 9, 2022, doi: 10.3390/foods11091214.
A. Verma and N. Singhal, “An integrated ISM-AHP computing framework for evaluating supply chain competitiveness,” in Lecture Notes in Mechanical Engineering, 2022. doi: 10.1007/978-981-16-5281-3_6.
P. Arsiwi and P. W. Adi, “Strategi peningkatan keunggulan kompetitif UKM Mina Indo Sejahtera dengan metode Interpretive Structural Modelling dan Analytic Network Process,” Jurnal Teknik Industri, vol. 10, no. 3, 2020, doi: 10.25105/jti.v10i3.8407.
S. Sorooshian, M. Tavana, and S. Ribeiro-Navarrete, “From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research,” J Bus Res, vol. 157, 2023, doi: 10.1016/j.jbusres.2022.113642.
Z. R. Marak and D. Pillai, “Supply chain finance factors: an Interpretive Structural Modeling approach,” Central European Management Journal, vol. 29, no. 1. 2021. doi: 10.7206/cemj.2658-0845.42.
D. L. Hughes, N. P. Rana, and Y. K. Dwivedi, “Elucidation of IS project success factors: an interpretive structural modelling approach,” Ann Oper Res, vol. 285, no. 1–2, 2020, doi: 10.1007/s10479-019-03146-w.
N. Shin and S. Park, “Evidence-based resilience management for supply chain sustainability: An interpretive structural modelling approach,” Sustainability (Switzerland), vol. 11, no. 2, 2019, doi: 10.3390/su11020484.
P. Agrawal and R. Narain, “Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach,” International Journal of Productivity and Performance Management, vol. 72, no. 2, 2023, doi: 10.1108/IJPPM-09-2020-0481.
N. P. Rana, Y. K. Dwivedi, and D. L. Hughes, “Analysis of challenges for blockchain adoption within the Indian public sector: an interpretive structural modelling approach,” Information Technology and People, vol. 35, no. 2, 2022, doi: 10.1108/ITP-07-2020-0460.
R. R. Menon and V. Ravi, “Analysis of barriers of sustainable supply chain management in electronics industry: An interpretive structural modelling approach,” Cleaner and Responsible Consumption, vol. 3, 2021, doi: 10.1016/j.clrc.2021.100026.
D. Mathivathanan, K. Mathiyazhagan, N. P. Rana, S. Khorana, and Y. K. Dwivedi, “Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach,” Int J Prod Res, vol. 59, no. 11, 2021, doi: 10.1080/00207543.2020.1868597.
D. Rukmayadi, Y. Saputra, R. Muhendra, and Z. F. Ikatrinasari, “Oasis pool corporate strategy planning using AHP-SWOT and ISM methods,” International Journal of Industrial Engineering and Production Research, vol. 35, no. 1, Mar. 2024, doi: 10.22068/ijiepr.35.1.1961.
R. Setyaningrum and P. N. Sari, “Organic waste management based on supply chain management using arena simulation and macro ergonomics approach,” Opsi, vol. 16, no. 2, 2023, doi: 10.31315/opsi.v16i2.11325.
P. Rathore, S. Chakraborty, M. Gupta, and S. P. Sarmah, “Towards a sustainable organic waste supply chain: A comparison of centralized and decentralized systems,” J Environ Manage, vol. 315, 2022, doi: 10.1016/j.jenvman.2022.115141.
Y. Hu, M. Scarborough, H. Aguirre-Villegas, R. A. Larson, D. R. Noguera, and V. M. Zavala, “A supply chain framework for the analysis of the recovery of biogas and fatty acids from organic waste,” ACS Sustain Chem Eng, vol. 6, no. 5, 2018, doi: 10.1021/acssuschemeng.7b04932.
O. Kwon, J. Kim, and J. Han, “Organic waste derived biodiesel supply chain network: deterministic multi-period planning model,” Appl Energy, vol. 305, 2022, doi: 10.1016/j.apenergy.2021.117847.
DOI: https://doi.org/10.31315/opsi.v17i1.12242
Refbacks
- Saat ini tidak ada refbacks.
Sekretariat :
Jurusan Teknik Industri
FTI UPN "Veteran" Yogyakarta
d.a Jalan Babarsari 2 Tambakbayan Yogyakarta 55281
Telp. (0274) 486256
Website http://jurnal.upnyk.ac.id/index.php/opsi
email : jurnal.opsi@upnyk.ac.id
indexed by:
 |  |  |  |
 |  |  |  |
 |
This work is Licensed Under a Creative Commons Attribution 4.0 International license.
View My Stats