At Hyster, we know that each and every application requirement and work environment can vary. We have customers in a wide array of businesses which inspire us to provide a really diverse variety of materials handling product solutions. Regardless of what your industry is or what the environmental conditions we have a machinery to suit your requirements and get tasks completed effectively. We have built trusting relationships between service, production and marketing groups so that we can guarantee you that all equipment are manufactured to the highest quality standards and that you will be given the ongoing support you require when you have a Hyster machine on your work site.
From the initial concept and design to the production and selling of the machine, each and every machine that Hyster markets will go through a nine stage development process. Every stage of the development process has been established to ensure product quality over the lifetime of the machine. Hyster testing centers can simulate the life cycle of a forklift in order to make certain that the equipment performs as designed and that it lasts.
In order to be sure that we know what all our customers truly want, Hyster performs a great deal of research about client needs. All this research is then utilized to the products design. Designs are built utilizing cutting edge computer aided design systems that help to lessen the risk of weak points and make sure that positioning of each and every component is optimal for both performance and servicing requirements. Then, prototypes are made in cooperation with professionals and specialists in compartment design and ergonomics. Each and every prototype and component is put through thorough life cycle testing to find and correct any issues that could lessen the life of a machinery or a component to a less than optimal level. When a machine comes out of the testing stage of development, we want to be certain that it would perform to a high standard. Testing in real life settings is also done so that we can collect more data on the machine's performance and be confident that it would meet the standards needed to complete the task.