Pemodelan Biaya Reverse Logistics Pada Pengelolaan Kemasan Minyak Goreng

Authors

  • Rahmi Ramadhany Universitas Andalas Author
  • Rika Ampuh Hadiguna Universitas Andalas Author
  • Ahmad Syafruddin Indrapriyatna Universitas Andalas Author
  • Suci Oktri Viarani Politeknik ATI Padang Author

DOI:

https://doi.org/10.52759/inventory.v4i1.108

Keywords:

Cooking Oil Packaging, Linear Programming, Reverse Logistics, Waste

Abstract

Indonesia  is  listed  as  the  second  largest  contributor  to  plastic  waste  in  the world. The problem currently faced is the increasing amount of plastic waste which  is  one  result  of  the  business  processes  of  companies  using  plastic packaging or plastic packaging manufacturers, one of the plastic packaging waste  that  comes  from  cooking  oil  packaging.  The  method  to  solve  the problem of processing cooking oil packaging waste carried out in this study is  to  modify  the  existing  system  into  a  reverse  logistics  system.  Currently, cooking  oil  companies  have  not  implemented  reverse  logistics  to  reduce plastic  packaging  production.  The  reverse  logistics  system  applied  in  this study  is  to  modify  cooking  oil  packages  into  packages  that  can  be  used repeatedly.  The  reverse  logistics  system  that  is  applied  is  then  modeled linerly to find out the minimal costs in implementing reverse logistics for the packaged  cooking  oil. Based  on the  development  of the packaged  cooking oil waste management model, it is known that the results of determining the model solution with the linear programming model are the minimal costs for reverse  logistics  of  packaged  cooking  oil.  The  model  is  designed  to  do  a sensitivity analysis by making changes to the reverse logistics cost parameters,  changes  in  the  reverse  logistics  cost  parameters  resulting  in changes to the results that are directly proportional. The designed model is implemented  using  PT.  XYZ  which  has  a  similarity  with  the  designed system.

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References

Badan Pusat Statistik (BPS). “Jumlah Penduduk Hasil Proyeksi Menurut Provinsi dan Jenis Kelamin (Ribu Jiwa), 2018-2020”. 2020.

Sistem Informasi Pengelolaan Sampah Nasional Kementrian Lingkungan Hidup dan Kehutanan (SIPSN, 2020) "Komposisi Sampah". 2020.

Badan Pusat Statistik (BPS). “Rata-Rata Konsumsi per Kapita Seminggu Beberapa Macam Bahan Makanan Penting 2007-2019”. 2019.

Badan Pusat Statistik (BPS). "Statistik Daerah Provinsi Sumatera Barat 2020". CV.Graphic Dwipa. Padang. 2020.

N. Ab, H. Nik, and S. Yaakub, “The Pressure for Reverse Logistics Adoption among Manufacturers in,” Asian J. Bus. Account., vol. 8, no. 1, 2015.

Purwaningrum, Pramiati, "Upaya Mengurangi Timbulan Sampah Plastik di Lingkungan, Indonesian Journal of Urban and Environtmental Technology, JTL Vol 8 No.2, Desember 2016, 141- 147

B. M. Arthaya, P. K. Ariningsih, and C. Haryani, “Peran Konsep Reverse Logistic Dalam Perancangan Penanganan Baterai Laptop Bekas,” J. Otomasi Kontrol dan Instrumentasi, vol. 10, no. 2, pp. 97–110, 2018.

W. Adhi, W. P. Rahayu, N. Indonesia, and J. Barat, “Manajemen Rantai Pasok Susu Pasteurisasi dengan Pendekatan Reverse Logistic Pasteurization Chain Marketing Management,” J. Manaj. Transp. dan Logistik, vol. 05, no. 01, pp. 29–42, 2018.

P. Kushwaha, “Conceptual Reverse Logistics Model used by Online Retailers Post Covid-19 Lockdown,” Int. Res. J. Bus. Stud., vol. 14, no. 3, pp. 229–234, 2021.

F. A. S. Dwicahyani, Anindya Rachma; Rifa, “Review Bidang Kajian Model Persediaan pada Reverse Logistics dan Sistem Rantai Pasok Siklus Tertutup,” J. SENOPATI, vol. 3 (1), no. September, pp. 1–10, 2021.

H. Suryana, “Pengembangan Model Daur Ulang Sampah Plastik Dalam Jaringan Sistem Reverse Logistics,” J. Media Tek. dan Sist. Ind., vol. 3, no. 2, pp. 90–94, 2019.

F. Pulansari, “Desain model sistem reverse logistics pada industri elektronika konsumsi,” Institut Teknologi Sepuluh Nopember, 2017.

B. Desticioglu, H. Calipinar, B. Ozyoruk, and E. Koc, “Model for Reverse Logistic Problem of Recycling under Stochastic Demand,” Sustainability, pp. 1–19, 2022.

W. T. Farizqi, U. Ciptomulyono, and A. Rusdiansyah, “Pengembangan Model Reverse Logistics Baterai Aki Bekas dengan Pendekatan Goal Programming,” Institut Teknologi Sepuluh Nopember, 2008.

A. Bal and S. Itir, “A goal programming model for sustainable reverse logistics operations planning and an application,” J. Clean. Prod., vol. 201, pp. 1081–1091, 2018, doi: 10.1016/j.jclepro.2018.08.104.

I. Masudin and T. E. Saputro, “Reverse Logistics Modeling Considering Environmental and Manufacturing Costs: A Case Study of Battery Recycling in Indonesia,” Int. J. Technol., vol. 10 (1), no. February, pp. 189–199, 2019, doi: 10.14716/ijtech.v10i1.2164.

B. H. Thacker, S.W. Doebling, F. M. Hemez, M. C. Anderson, J. E. Pepin and E. A. Rodriguez “Concepts of Model Verification and Validation,” 2004.

H. G. Daellenbach and D. C. Mcnickle, Management Science: Decision Making Through Systems Thinking. New York: Palgrave Macmillan, 2005.

E. Usman, Nurul Afifah; Amrina, “Seminar Sistem Produk XI dan Seminar Nasional VI Manajemen dan Rekaya Kualitas,” in Usulan Rute Pengiriman Produk Minyak Goreng Kemasan di PT Incasi Raya Padang, 2015, p. J-13

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Published

2023-06-30

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