An Effectivity Decision Model for Product Data Management System

Abstract

Change control of a product data management (PDM) system is one of the major approaches for handling engineering changes today. During the change control workflow, there are three different dates utilized for engineering change planning and scheduling: release date, effective date, and effectivity date. Effective date is the date that a documented change is implemented and applied to shop floor workshop. Effectivity date is the date that decision makers expect documented changes begin to be applied. In normal situations, multiple disciplines, such as design and development, purchasing, shop floor workshop, quality control, and so on, are involved in a change decision, which will be made on when a change is to become effective. The algorithm and theory of a possible add-on module to current PDM systems is presented in this paper. In this research, a mixed integer programming effectivity decision model is proposed to support changes of design scheduling, and production planning and scheduling concurrently when an engineering change occurred. The proposed model succeeded in solving an integration problem of change management issues (from product data management perspective) and production planning and shop floor scheduling issues (from enterprise resource planning perspective) for engineering change management.