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All Journal IPTEK Journal of Proceedings Series JOIV : International Journal on Informatics Visualization Kaizen : Management Systems and Industrial Engineering Journal To Maega: Jurnal Pengabdian Masyarakat MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering eProceedings of Engineering
Prafajar Suksessanno Muttaqin
Universitas Telkom
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Journal : JOIV : International Journal on Informatics Visualization

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Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking Dida Diah Damayanti; Nia Novitasari; Erlangga Bayu Setyawan; Prafajar Suksessanno Muttaqin
JOIV : International Journal on Informatics Visualization Vol 6, No 2 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2.1006

Abstract

Abstract— The development and use of technological innovations have changed people's behavior from an industrial society to an information society. It can be seen in the increase in people's consumption patterns from trading through physical stores (offline) to trading through electronic systems, often referred to as e-commerce. Logistics services are distribution actors in the downstream line which are tasked with delivering products from the fulfillment center from e-commerce to the end customer. The uncertainty of the number of requests is the biggest challenge for logistics service players. The growth of e-commerce has also led to an increase in sales volume in e-commerce which has given rise to a new generation of warehouses that are specifically tailored to the special needs of online retailers who directly serve the demands of end-customers in the business-to-consumer (B2C) segment. Traditional warehousing systems cannot handle orders with the characteristics of many transactions but smaller sizes. In addition, warehouses that handle e-commerce are also required to have a fast process in the warehouse because shipments must be made on the same day. In this study, the author aims to perform calculations to find the optimal order picking time in the warehouse, so orders in e-commerce can be processed faster by comparing the picking process time using ordinary Single Picker Routing Problem (SPRP) and combined with the concept of wave picking using Genetic Algorithm (GA). Based on a theoretical study in this paper, the combination between SPRP and wave picking can reduce 42.28% picking time. 
Co-Authors Ami Ayu Masturo Ari Yanuar Ridwan Asyifa Freda Salsa Billa Athiyyah Ayuningputri Budi Santosa Dida Diah Damayanti Erlangga Bayu Setyawan Fiet Diana Handayani Kresna Nurfajri Setya Putra Muhammad Nashir Ardiansyah Nia Novitasari Nova Indah Saragih Rizki Afif Finata Yulianti, Femi