PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RUTE PENGIRIMAN FROZEN FOOD DENGAN MEMPERTIMBANGKAN COLD CHAIN DAN EMISI KARBON (STUDI KASUS: CENTRAL WAREHOUSE CIKUPA - PT SO GOOD FOOD)

• Main Author: Fany, Arina
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/59162
• Institution: Institut Teknologi Bandung

PT So Good Food is a food industry which sells many kinds of frozen food. One of owned depots is Central Warehouse Cikupa (CWH Cikupa). CWH Cikupa serves customers in Banten area. One of important outbound activities is truck assignment and routing. Currently, truck is manually assigned by shipment planner. Meanwhile, routing becomes driver’s responsibility. This manual process has some shortcomings. The worst thing is drivers frequently work over the working duration stated in Articles 77-78 of Law Number 13 of 2003. Furthermore, A massive environmental campaigns is surfacing. Hence, it encourages companies to take action in reducing carbon emissions. Therefore, the proposed alternative solution is to develop routing decision support system which considers cold chain and carbon emission. This information system has several functionalities. Those are automatically routing, master data access, and dashboard. Adaptive Large Neighborhood Search (ALNS) algorithm is used in the system to find solutions of mathematical model. This model is developed from cold chain and green VRP model by Liu, et al. (2020) and VRP model by Erdogan (2017). By comparing to existing method, the algorithm is able to find solutions which can reduce 10,38% of carbon emission. In addition, the proposed routes are estimated incurred fuel cost 19,63% lower than existing method. The decision support system is able to estimate arrival time and departure time at customer stores that fulfill time window. Moreover, the proposed routes have estimation working duration that comply regulation if the vehicles are still available.