Knowledge-based Systems to Support Production Planning
نویسندگان
چکیده
Peter Bubeník, Filip Horák Original scientific paper Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occurred events, which is done by applying data mining methods to known historical data. Results of analysis are then recorded into knowledge-based system for further use. Application of data mining techniques helps to find hidden relationships with high influence on final decision of planner. This concept aims to navigate planner during creation of real plans resulting from real situations. Unknown situations are modelled using simulation module.
منابع مشابه
An application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case
Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...
متن کاملA Compound Decision Support System for Corporate Planning
Providing a plan for any corporate or firm at macro level, as an organization or enterprise resource planning has particular importance nowadays. To meet the enterprise resource planning needs applications software packages provide a set of uniform pre-prepared and pre-designed that covers all business process throughout an organization. To achieve maximum efficiency in the implementation of th...
متن کاملAn intelligent interactive support system for short- and mid-term planning in a production planning and control system
Although production planning and control systems were developed and used for about thirty years, a whole bunch of problems remains unresolved. Simple data management tasks – like retrieval and manipulation of master data concerning products, orders, staff, machines and stocks – are handled quite well. However the more complex task of creating or adapting production schedules is not yet satisfac...
متن کاملDomain specific DSS tools for knowledge-based model building
The formulation of complex planning models, such as linear programming (LP) systems, is a difficult task that enjqs little support by current decision support systems tools. It is aypothesized that current artificial intelligence technology is insufficient to build generalized formulation tools that would be usable by OR-naive end users. As an alternative, this paper presents a domain-specific ...
متن کاملA Knowledge Based Approach to Production Planning and Scheduling in a Metallurgical Company
Decision-making supported by task-oriented software tools plays more and more role in the production companies, including metallurgical plants. Decision-making in production planning and scheduling requires the response in an interactive real-time mode. It is an incentive for developing decision support system (DSS) that enables a fast prototyping of production flows in multi-project environmen...
متن کاملProposing an Appropriate Architecture for Decision Support Systems in the Field of Complex Chronic Care: Micro-Services Based Software Architecture in Kidney Transplant Care
Introduction: Development and successfully implementation of knowledge based clinical decision support system (KBCDSS) in kidney transplantation (KT) could support decision-making, reduce cost and improve quality of care. For practical use of these systems, however, many challenges have to be met. Besides to well-recognized challenges of design and implementation of information systems in heal...
متن کامل