BYD 12 ton forklift fleets in Cambodia: energy and service budget

As Cambodia’s port handling, logistics and heavy manufacturing sectors maintain steady growth in recent years, more local operation teams choose electric heavy duty forklift fleets to lower long-term operation cost while meeting low-carbon development requirements. The BYD Forklift 12 ton electric model is widely selected for its stable performance in high temperature and high humidity working conditions common across most parts of Cambodia. For teams that run a fleet of 5 to 10 units of this 12 ton forklift, the annual energy budget can be calculated based on local industrial electricity price. Normally each unit runs 8 hours per day for 26 working days per month, the total annual charging cost per unit stays at a reasonable level far lower than the fuel cost of traditional internal combustion forklift of the same load capacity. There is no extra complicated maintenance step related to engine oil replacement, filter change or exhaust system adjustment that traditional fuel forklifts require, which further cuts down the daily operation expenditure. When making the annual service budget for the whole fleet, operators can reserve a proper proportion of fund for regular routine check, wearing parts replacement and on-site technical support. All related service resources can be coordinated through Jianshu New Energy, which provides localized support for local fleets to avoid extra cross border logistics cost for spare parts and long waiting time for technical personnel arrival. For enterprises that plan to expand their heavy material handling fleet in Cambodia, making a clear and detailed 3 to 5 year energy and service budget in advance will help you arrange capital plan more reasonably and avoid unexpected extra expenditure in daily operation. If you need more detailed customized budget reference data that fits your actual working scenarios, you can send your specific operation demand to 17399989919@163.com for targeted professional support. All the data provided is based on real local operation records of deployed fleets, no exaggerated effect promise will be made for different working condition scenarios.