Perbaikan Tata Letak Gudang Distribusi dengan Data mining, Dedicated Storage dan Multi-product Slot Allocation

Main Article Content

Andi Steven Indrawan
Santoso

Abstract

Intisari— Saat ini jumlah stock keeping unit (SKU) pada perusahaan distribusi semakin meningkat, hal ini menyebabkan kebutuhan akan area penyimpanan menjadi semakin tinggi. Perusahaan distribusi dapat menyelesaikan masalah tersebut dengan menambah luas area penyimpanannya, tetapi jika tidak, maka perusahaan harus mampu memanfaatkan ruang penyimpanan yang dimiliki dengan optimal. Apabila hal ini tidak diperhatikan, perusahaan cenderung menempatkan produk secara acak dan menggunakan gang untuk menyimpan barang yang dimiliki. Hal tersebut menyebabkan proses pencarian dan pengambilan produk menjadi terhambat. Produk yang saling berkaitan satu sama lain menjadi diletakkan secara berjauhan sehingga total jarak yang ditempuh menjadi lebih jauh. Penelitian ini bertujuan untuk memperbaiki tata letak sebuah gudang distribusi dan memanfaatkan ruang penyimpanan sebaik mungkin untuk mempertahankan servicel levelnya. Metode yang digunakan adalah dedicated storage, multi-product slot allocation dan pengolahan data mining untuk mendukung penerapan prinsip similarity. Pengolahan data mining dilakukan menggunakan metode association rule mining dengan algoritma apriori. Penggunaan metode multi-product slot allocation menunjukkan kebutuhan slot penyimpanan berkurang menjadi 92.25% dibandingkan perhitungan menggunakan persediaan maksimum. Dengan menerapkan tata letak yang dirancang, perusahaan dapat mengurangi total jarak tempuh sebesar 20.61% dibandingkan dengan tata letak awal, serta meningkatkan proses penyimpanan dan pengambilan yang dilakukan.


Abstract— Recently, the number of SKUs in distribution companies are more increasing, which causes the requirements of storage areas also increases. The distribution companies can solve this problem by increasing their storage area, but if not, the company must be able to utilize storage space optimally. If it is not considered, companies tend to place products randomly and use aisles to store their SKUs. This causes the process of searching and picking products are disrupted. Products that are related to each other are placed far apart, so the total distance traveled much longer. This study aims to improve the layout of a distribution warehouse and utilize the storage space to maintain its service level. The methods used are dedicated storage, multi-product slot allocation and data mining process to support the application of similarity principle. The process of data mining is following the association rule mining with apriori algorithm. The multi-product slot allocation method shows that the storage slot requirements are reduced to 92.25% compared to the calculation using the maximum inventory. By implementing the designed layout, the company can reduce total travel distance by 20.61% compared to the original layout, as well as improve the storing and picking process.

Dimensions

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biographies

Andi Steven Indrawan, Universitas Kristen Maranatha

Program Studi Teknik Industri Universitas Kristen Maranatha Jln. Prof. drg. Surya Sumantri, M.P.H. No. 65 Bandung 40164

Santoso, Universitas Kristen Maranatha

Program Studi Teknik Industri Universitas Kristen Maranatha Jln. Prof. drg. Surya Sumantri, M.P.H. No. 65 Bandung 40164

References

J. A. Tompkins, J. A. White, Y. A. Bozer, and J. M. A. Tanchoco, Facilities Planning, 4th ed. John Wiler and Sons, Inc, 2010.

I. Agustina and R. Vikaliana, “Analisis Pengaturan Layout Gudang Sparepart Menggunakan Metode Dedicated Storage di Gudang Bengkel Yamaha Era Motor,” J. Manag. Bus. Rev., vol. 18, no. 2, pp. 53–64, 2021, doi: 10.34149/jmbr.v18i2.271.

W. Kartika and A. W. Helvianto, “Perbaikan Tata Letak Penyimpanan Barang Di Gudang Untuk Reduksi Jarak Tempuh Perjalanan Material Handling,” J. Manaj. Ind. Dan Logistik, vol. 1, no. 1, p. 76, 2017, doi: 10.30988/jmil.v1i1.10.

M. M. Tambunan and R. Tambunan, “Product Placement Based on Throughput at PT XYZ Warehouse,” IOP Conf. Ser. Mater. Sci. Eng., vol. 851, no. 1, 2020, doi: 10.1088/1757-899X/851/1/012049.

W. Septiani, G. A. Divia, and S. Adisuwiryo, “Warehouse Layout Designing of Cable Manufacturing Company using Dedicated Storage and Simulation Promodel,” IOP Conf. Ser. Mater. Sci. Eng., vol. 847, no. 1, 2020, doi: 10.1088/1757-899X/847/1/012054.

C. Dianto, F. Widiandoko, D. Rahmanasari, Yuniaristanto, and W. Sutopo, “Redesign Production Layout Using Dedicated Storage Method: Case Study of PT.Solo Grafika Utama,” IOP Conf. Ser. Mater. Sci. Eng., vol. 943, no. 1, 2020, doi: 10.1088/1757-899X/943/1/012042.

U. M. Sugeng, “Perancangan Tata Letak Warehouse Baru Untuk Meningkatkan Kapasitas Penyimpanan Material Dengan Metode Dedicated Storage Di Pt.Xx,” Jisi J. Integr. Sist. Ind. Vol., vol. 3, no. 1, pp. 23–28, 2016.

A. Irman, Y. Muharni, and A. Yusuf, “Design of warehouse model with dedicated policy to minimize total travel costs: A case study in a construction workshop,” IOP Conf. Ser. Mater. Sci. Eng., vol. 909, no. 1, 2020, doi: 10.1088/1757-899X/909/1/012088.

Olivia Audrey, Wayan Sukania, and Siti Rohana Nasution, “Analisis Tata Letak Gudang Dengan Menggunakan Metode Dedicate Storage,” J. ASIIMETRIK J. Ilm. Rekayasa Inov., vol. 1, no. 1, pp. 43–49, 2019, doi: 10.35814/asiimetrik.v1i1.221.

F. Angelia, Santoso, and K. Suhada, “Perbaikan Tata Letak Gudang dengan Association Rule Mining dan Dedicated Storage Policy di PD Andika – Indramayu Warehouse Layout Improvement with Association Rule Mining and Dedicated Storage Policy at PD Andika – Indramayu menghindari gangguan rayap . P,” J. Integr. Syst., no. November, pp. 161–179, 2020.

I. Noor, “Peningkatan kapasitas gudang dengan redesign layout menggunakan metode shared storage,” J. JIEOM, vol. 1, no. 1, p. 1, 2018, [Online]. Available: https://ojs.uniska-bjm.ac.id/index.php/jieom/article/viewFile/1312/1105.

I. A. Marie, C. Claudia, and Adianto, “Optimasi Persediaan Bahan Baku Berdasarkan Pengali Lagrange serta Rancangan Tata Letak Gudang Menggunakan Metode Shared Storage,” J. Tek. Ind., vol. 10, no. 02, pp. 105–112, 2020.

I. H. Kuswoyo and A. S. Cahyana, “Tata Letak Gudang Raw Material Chemical Menggunakan Metode Shared Storage Dan Rel Space,” Spektrum Ind., vol. 14, no. 1, p. 1, 2016, doi: 10.12928/si.v14i1.3683.

J. Arifin and T. Pamungkas, “Perbaikan Tata Letak Gudang Dengan Menggunakan Metode Shared Storage Pada Perum Bulog Subdivre Karawang,” J. Media Tek. dan Sist. Ind., vol. 3, no. 1, p. 7, 2019, doi: 10.35194/jmtsi.v3i1.548.

S. Santoso and R. M. Heryanto, Perancangan Tata Letak Fasilitas, 1st ed. Bandung: Penerbit ALFABETA, 2020.

B. Baby, N. Prasanth, and S. S. Jebadurai, “Implementation of lean principles to improve the operations of a sales warehouse in the manufacturing industry,” Int. J. Technol., vol. 9, no. 1, pp. 46–54, 2018, doi: 10.14716/ijtech.v9i1.1161.

K. Y. Tippayawong, A. Sopadang, and P. Patitad, “Improving warehouse layout design of a chicken slaughterhouse using combined ABC class based and optimized allocation techniques,” Lect. Notes Eng. Comput. Sci., vol. 1 LNECS, no. April 2017, pp. 479–483, 2013.

G. Richards, Warehouse Management A complete guide to improving efficiency and minimizing costs in the modern warehouse, 3rd ed. New York: Kogan Page Limited, 2018.

S. Arunyanart, P. Tangkitipanusawat, and K. Yoshimoto, “Improving efficiency on warehouse management: A case study of beverage company’s distribution center,” Asia-Pacific J. Sci. Technol., vol. 24, no. 3, pp. 1–11, 2019, doi: 10.14456/APST.2019.29.

B. Pierre, B. Vannieuwenhuyse, and D. Dominanta, “Dynamic Abc Storage Policy in Erratic Demand Environments,” J. Tek. Ind., vol. 5, no. 1, pp. 1–12, 2003, doi: 10.9744/jti.5.1.pp.1-12.

L. Gozali, I. A. Marie, Natalia, G. M. Kustandi, and E. Adisurya, “Suggestion of raw material warehouse layout improvement using class-based storage method (case study of PT. XYZ),” IOP Conf. Ser. Mater. Sci. Eng., vol. 1007, no. 1, 2020, doi: 10.1088/1757-899X/1007/1/012024.

H. Juliana and N. U. Handayani, “Peningkatan Kapasitas Gudang Dengan Perancangan Layout Menggunakan Metode Class-Based Storage,” J@ti Undip J. Tek. Ind., vol. 11, no. 2, p. 113, 2016, doi: 10.14710/jati.11.2.113-122.

J. Johan and K. Suhada, “USULAN PERANCANGAN TATA LETAK GUDANG DENGAN MENGGUNAKAN METODE CLASS-BASED STORAGE (Studi Kasus di PT Heksatex Indah, Cimahi Selatan),” J. Integr. Syst., vol. 1, no. 1, pp. 52–71, 2018, doi: 10.28932/jis.v1i1.989.

T. P. Sari, A. Y. Ridwan, and R. Aurachman, “Designing Floor Tile Warehouse Layout Using Heuristic Approach Method to Increase Warehouse Capacity and Reduce Travel Distance,” Int. J. Innov. Enterp. Syst., vol. 1, no. 01, pp. 44–52, 2017, doi: 10.25124/ijies.v1i01.8.

T. A. Ajol and S. S. Gran, Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017 – Volume 2, vol. 2. Springer Singapore, 2018.

Y. Muharni, A. I. S. M, and Y. Noviansyah, “Perancangan Tata Letak Gudang Barang Jadi Menggunakan Kebijakan Class-Based Storage dan Particle Swarm Optimization Di PT XYZ,” J. Tek. Ind., vol. 10, no. 3, pp. 200–209, 2020.

G. K. Adil, V. R. Muppani, and A. Bandyopadhyay, “A review of methodologies for class-based storage location assignment in a warehouse,” Int. J. Adv. Oper. Manag., vol. 2, no. 3/4, p. 274, 2010, doi: 10.1504/ijaom.2010.038341.

C. Paveenchana and N. Phumchusri, “Optimal storage locations for warehouse efficiency improvement in a haircare manufacturer,” Eng. J., vol. 23, no. 5, pp. 141–168, 2019, doi: 10.4186/ej.2019.23.5.141.

M. A. M. Trindade, P. S. A. Sousa, and M. R. A. Moreira, “Product allocation planning with handling constraints: a case study analysis,” Int. J. Manag. Sci. Eng. Manag., vol. 16, no. 3, pp. 175–183, 2021, doi: 10.1080/17509653.2021.1907812.

F. Bindi, R. Manzini, A. Pareschi, and A. Regattieri, “Similarity-based storage allocation rules in an order picking system: An application to the food service industry,” Int. J. Logist. Res. Appl., vol. 12, no. 4, pp. 233–247, 2009, doi: 10.1080/13675560903075943.

A. W. Putri and I. A. Marie, “Rancangan Perbaikan Tata Letak Gudang Barang Jadi Produk Stamping Parts Pada Pt. Csm Berdasarkan Metode Fuzzy Subtractive Clustering Algorithm,” J. Ilm. Tek. Ind., vol. 3, no. 2, pp. 130–140, 2017, doi: 10.24912/jitiuntar.v3i2.503.

U. D. Soer and I. . Marpaung, “PENERAPAN DATA MINING ALGORITMA APRIORI DALAM MENGGANTI SPARE PART DIES MAINTENANCE UNTUK MENCEGAH POTENSI DIES ACCIDENT PT. NUSA TOYOTETSU CORPORATION,” vol. 16, no. 2, pp. 1–13, 2021.

M. Fauzy, K. R. Saleh W, and I. Asror, “Penerapan Metode Association Rule Menggunakan Algoritma Apriori Pada Simulasi Prediksi Hujan Wilayah Kota Bandung,” J. Ilm. Teknol. Infomasi Terap., vol. 2, no. 3, 2016, doi: 10.33197/jitter.vol2.iss3.2016.111.

I. D. Widodo, H. Ulfah, and K. N. Anggraeni, “Redesign Super Market Layout Analysis Based on Hidden Customer Purchase Behaviour,” 2021 IEEE 8th Int. Conf. Ind. Eng. Appl. ICIEA 2021, pp. 261–264, 2021, doi: 10.1109/ICIEA52957.2021.9436714.

T. Hariguna, U. Hasanah, and N. N. Susanti, “Sales Transaction Data Analysis using Apriori Algorithm to Determine the Layout of the Goods,” IJIIS Int. J. Informatics Inf. Syst., vol. 1, no. 1, pp. 16–23, 2018, doi: 10.47738/ijiis.v1i1.19.

R. Agrawal and R. Srikant, “Fast Algorithms for Mining Association Rules,” Ann. Pharmacother., no. 1, 1994, doi: 10.1345/aph.1K157.

M. H. Margahny and A. Shakour, “Fast algorithm for mining association rules,” vol. 34, no. 1, pp. 79–87, 2006.

A. V. Senthil Kumar and R. S.D. Wahidabanu, “Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach,” ITB J. Inf. Commun. Technol., vol. 1, no. 1, pp. 42–55, 2007, doi: 10.5614/itbj.ict.2007.1.1.4.

M. A. Hidayati and H. Purnomo, “Perancangan Tata Letak Gudang Produk Jadi Menggunakan Association Rule Mining Di PT. Supratik Suryamas Yogyakarta,” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2013.

D. Ming-Huang Chiang, C. P. Lin, and M. C. Chen, “Data mining based storage assignment heuristics for travel distance reduction,” Expert Syst., vol. 31, no. 1, pp. 81–90, 2014, doi: 10.1111/exsy.12006.

D. M. H. Chiang, C. P. Lin, and M. C. Chen, “The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres,” Enterp. Inf. Syst., vol. 5, no. 2, pp. 219–234, 2011, doi: 10.1080/17517575.2010.537784.

J. Kim, F. Méndez, and J. Jimenez, “Storage location assignment heuristics based on slot selection and frequent itemset grouping for large distribution centers,” IEEE Access, vol. 8, pp. 189025–189035, 2020, doi: 10.1109/ACCESS.2020.3031585.

Y. F. Chuang, S. H. Chia, and J. Y. Wong, “Enhancing order-picking efficiency through data mining and assignment approaches,” WSEAS Trans. Bus. Econ., vol. 11, no. 1, pp. 52–64, 2014.

Y. Li, F. A. Méndez-Mediavilla, C. Temponi, J. Kim, and J. A. Jimenez, “A heuristic storage location assignment based on frequent itemset classes to improve order picking operations,” Appl. Sci., vol. 11, no. 4, pp. 1–15, 2021, doi: 10.3390/app11041839.

K. W. Pang and H. L. Chan, “Data mining-based algorithm for storage location assignment in a randomised warehouse,” Int. J. Prod. Res., vol. 55, no. 14, pp. 4035–4052, 2017, doi: 10.1080/00207543.2016.1244615.

C. Battista, A. Fumi, L. Laura, and M. M. Schiraldi, “Multiproduct slot allocation heuristic to minimize storage space,” Int. J. Retail Distrib. Manag., vol. 42, no. 3, pp. 172–186, 2014, doi: 10.1108/IJRDM-03-2012-0024.

S. S. Heragu, Facilities Design, 4th ed. New York: CRC Press, 2016.

D. T. Larose, Discovering Knowledge in Data An Introduction to DATA MINING. New Jersey: John Wiley and Sons, Inc, 2005.

M. Kantardzic, Data Mining: Concepts, Models, Methods, and Algorithms: Second Edition. 2011.

C. C. Aggarwal, Data Mining: The Text Book, vol. 14, no. 3. New York: Springer International Publishing, 2015.

J. Han and M. Kamber, Data Mining : Concepts and Techniques University of Illinois at Urbana-Champaign. San Fransisco: Elsevier Inc., 2006.