Information systems for supply chain management in automotive industry

In the business world organizations cannot expect the creation of successful production, process or service advantages without the integration with systems and supply chains in the Internet environment. The development of global economy based on Internet concept enables organizations application of new integration methods with their buyers, suppliers and partners. On these basis systems for supply chain management (SCM) are developed and applied. Research results in the automotive industry, presented in this paper, refer to analysis and determination of supply chain structure, organization management and stakeholders demands for information systems that should enable efficient support to supply chain management processes. For the development of supply chain management information systems, methods and techniques for business system planning (BSP), business process management (BPM), Cost-benefit approach (CBA), process oriented methods for structural complex system analysis (SSA-Structured System Analysis), object oriented methods for system analysis, Fast method for IS projects, method for entity relation diagram (ERD), case tools BPWIN and ERWIN and data base management systems (DBMS) were used. Through application of methodology for information systems projecting a research and complex analysis were performed of the supply chain processes, a request model was developed, logical process model, data and function model, interface and network model, that, by the application of software engineering model represent a basis for the physical design of data bases and solution of application software for supply chain management in Internet environment. The scientific contribution is present, above all, in the development and application of low cost methodology for supply chain management information system projecting in conditions of constraints of financial and human resources. Application of the given methodology develops data bases and application software for supply chain management, whose key results are presented in this paper.