Aplikasi Rute Picking Order pada Gudang Menggunakan Metode Algoritma Harmony Search Berbasis Android

Karina Shelvi Gunawan, Andreas Handojo, Tanti Octavia


Warehouse is an important element in logistic. Warehouse is place to keep raw material, work-in-process material, or finished goods. Warehouse is used to store goods so that it does not easily damaged. Technology is applied to make warehouse system more efficient. It is important for the owner to know what goods are stored in the warehouse or retail store. Incoming, outgoing, and transferred goods must be known to prevent profit loss. To fulfill orders from consumers and to maintain the number of stock items on the shelves in retail store, picking orders are carried out to pick up the items needed from the warehouse. Efficient picking orders can fill orders faster and complete more incoming orders. This application utilizes Harmony Search algorithm to do routing. Routing is made to do picking order at the warehouse to meet demand. The application can also display warehouse map visualizations to make it easier for users. In addition, the use of weight sensors on retail store shelves to detect stock on retail store shelves. Users can fulfill demands based on routes that have been calculated with the Harmony Search algorithm.


Harmony Search; Picking Order; Route; Weight Sensor; Demand Fulfillment

Full Text:



Alia, O., dan Mandava, R. 2011. The variants of the harmony search algorithm: an overview. Artificial Intellegence Review. DOI= https://doi.org/10.1007/s10462-010-9201-y.

Al-Mutlaq, S. n.d. Getting Started with Load Cells. URI= https://learn.sparkfun.com/tutorials/getting-started-with-load-cells/all.

Frontoni, E., Marinelli, F., Rosetti, R., dan Zingaretti, P. 2017. Shelf space re-allocation for out of stock reduction. Computers and Industrial Engineering, 106, 32-40. DOI= https://doi.org/10.1016/j.cie.2017.01.021.

Geem, Z., Kim, J., dan Loganathan, G. 2001. A New Heuristic Optimization Algorithm : Harmony Search. 60-68. DOI= https://doi.org/10.1177/003754970107600201.

Hacizade, U., dan Kaya, I. 2018. GA Based Traveling Salesman Problem Solution and its Application to Transport Routes Optimization. IFAC-PapersOnLine, 51(30), 620-625. DOI= https://doi.org/10.1016/j.ifacol.2018.11.224.

Lestari, S. 2016. Fungsi Gudang dalam Sistem Logistik dan Rantai Pasok. URI= http://supplychainindonesia.com/new/ fungsi-gudang-dalam-sistem-logistik-dan-rantai-pasok/.

Murray, M. 2019. Order Picking in Warehouse. URI= https://www.thebalancesmb.com/order-picking-in-the-warehouse-2221190.

Octavia, T., dan Angelica, S. 2017. Perbandingan Algoritma Simulated Annealing dan Harmony Search dalam Penerapan Picking Order Sequence. Jurnal Teknik Industri, 125-132. DOI= https://doi.org/10.9744/jti.19.2.125-132.

Pansart, L., Catusse, N., dan Cambazard, H. 2018. Exact algorithms for the order picking problem. Computers and Operations Research, 100, 117-127. DOI= https://doi.org/10.1016/j.cor.2018.07.002.

Tongchan, T., Pomsing, C., dan Tonglim, T. 2017. Harmony Search Algorithm’s Parameter Tuning for Traveling Salesman Problem. 2017 International Conference on Robotics and Automation Sciences, ICRAS 2017, 199-203. DOI= https://doi.org/10.1109/ICRAS.2017.8071944.

Zhang, T., dan Geem, Z. 2019. Review of harmony search with respect to algorithm structure. Swarm and Evolutionary Computation, 31-43. DOI= https://doi.org/10.1016/ j.swevo.2019.03.012.


  • There are currently no refbacks.

Jurnal telah terindeks oleh :