Analysis of Warehouse’s Performance (Shipping, Order Picking, Storage, Putaway, Receiving) to Achieve Effective and Efficient Performance (Financial, Productivity, Utilization, Quality, Cycle Time)

Authors

  • Andre Yosafat Simarmata Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Juliater Simarmata Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia

DOI:

https://doi.org/10.31933/dijemss.v5i3.2412

Keywords:

Efficient, AHP, KPI, Warehouse, Effective, S-No

Abstract

Warehousing plays a pivotal role in ensuring the smooth flow of materials and spare parts to support production processes. The efficiency and reliability of warehouse operations significantly impact overall company operations, enhancing their reliability, effectiveness, and efficiency. Achieving optimal performance relies on various interconnected factors, with one crucial aspect being the enhancement of warehouse performance. Employing methodologies such as Analytical Hierarchical Process (AHP), Key Performance Indicators (KPIs), and Standard Normalization (S-NORM) aids in data processing and evaluation. For instance, PT XYZ Café Indonesia's warehouse in Jakarta utilizes 25 KPIs, divided into categories like Receiving, Putaway, Storage, Order Picking, and Shipping, each containing 5 KPIs. Analysis reveals 10 KPIs in the green category, signaling satisfactory performance, while 11 fall into the yellow category, indicating areas for improvement, and 4 are in the red category, signifying critical areas requiring immediate attention. Utilizing the S-Norm De Boer method for performance evaluation, the Jakarta warehouse achieves a performance index of 93.20335, meeting expected performance levels. However, there's a need for targeted improvements in KPIs categorized as yellow or red to enhance overall warehouse efficiency and effectiveness.

 

Keywords     : Efficient; AHP; KPI; Warehouse; Effective ; S-No

References

Setiawan, Budi. (2015). Teknik Praktis Analisis Data Penelitian Sosial & Bisnis Dengan SPSS, Edisi Pertama, Semarang.

Frazelle Edward H, Ph.D. (2002). Supply Chain Strategy, 1st Edition, Kindle Edition.

Rushton, Simon K, Prof., BSc CNAA, PhD Edinburgh. (2010). Logistics and Supply Chain Management.

Saaty, Thomas L.; Ernest H. Forman. (1992). The Hierarchon: A, Dictionary of Hierarchies, Pittsburgh, Pennsylvania: RWS Publications.

Warren Jacques, (2011). Key Performance Indicators (KPI) – Definition And Action, www.atinternet.com, © 2011 AT Internet. DE.CL.8-000001075

Banerjee, J., & Buoti, C. (2012). General specifications of KPIs, International Telecomunnication Union.

Robert S.Kaplan, David P.Norton. (1996). The Balance Scorecard, Harvard Business,School Press Boston, Massachusetts.

Kadarsah Suryadi, Dr. Ir, M. Ali Ramdhani, Ir. MT.. (1998). Sistem Pendukung Keputusan : Suatu Wacana Struktural Idealisasi dan Implementasi Konsep Pengambilan Keputusan, PT. Remaja Rosda Karya, Bandung.

PARJI. (2018). “Model Peningkatan Kinerja Warehouse 5, Services And Warehousing (S&W)-Procurement Pt. Pertamina (Persero) Refinery Unit V Balikpapan”

Astuti, J., & Fatma, E. (2017). Evaluasi Pemilihan Penyedia Jasa Kurir Berdasarkan Metode Analytical Hierarchy Process (Ahp). Jurnal Manajemen Industri Dan Logistik. , 1(1),28.https://doi.org/10.30988/jmil.v1i1.5.

Qurtubi, R. A. J., & Wihdah Safitri. (2018). Analisis Kinerja Gudang Dengan Pendekatan Key Performance Indicator (Kpi) Dan Analitycal Hierarchy Process (Ahp). Jurnal Teknik Industri ( Jurnal Keilmuan Teknik Dan Manajemen Industri ), 6(2), 71–78. https://doi.org/http://dx.doi.org/10.24912/jitiuntar.v6i2.4086

Tri Wigati, D., Budi Khoirani, A., Alsana, S., & Rizki Utama, D. (2017). Pengukuran Kinerja Supply Chain Dengan Menggunakan Supply Chain Operation Reference (Scor) Berbasis Analytical Hierarchy Process (Ahp). Journal Industrial Servicess, 3(1), 46–52.

Published

2024-03-20

How to Cite

Andre Yosafat Simarmata, & Juliater Simarmata. (2024). Analysis of Warehouse’s Performance (Shipping, Order Picking, Storage, Putaway, Receiving) to Achieve Effective and Efficient Performance (Financial, Productivity, Utilization, Quality, Cycle Time). Dinasti International Journal of Education Management And Social Science, 5(3), 364–372. https://doi.org/10.31933/dijemss.v5i3.2412