To aid human experts in conducting HAZOP analysis in a more thorough and systematic way, a software system called PHASuite has been developed. The work is divided into two parts. First, a knowledge engineering framework has been proposed and discussed in Part I of this two-part paper. Based on the proposed framework, the second part focus on issues related to design and implementation of PHASuite. Standard software engineering methodologies have been applied to guide the design and development of PHASuite in order to achieve the goal of efficiency, flexibility and high quality. Layered and repository software architecture have been designed to handle the complex information flow and the multipart knowledge base in the system. Objected-oriented and component-oriented methodologies are adopted for design and implementation. Unified modelling language is used for design and documentation of development details. The results management facilities of PHASuite, including results summary, details and reports are presented. An industrial pharmaceutical process is presented as a case study to illustrate the applicability and procedure of using PHASuite for automated HAZOP analysis.