Evaluation of the operation expedience of technological resources in a manufacturing network

Abstract

Cost-effective manufacturing and technology-based manufacturing are basic keywords in contemporary manufacturing. Efficiency and productivity require extremely good job management, correlation of resources and competencies to production requirements, as well as continuous monitoring of possible wastes and additional expenditures, i.e. real efficiency of the continuous improvement process. In the current article the methodology of technological resources and competence management evaluation in terms of manufacturing system ontology are analysed in pre-order and post-order fulfilment stages. The expedience of resources operation and order outsourcing, but also corresponding risk management principles are analysed. The elaborated methodology enables enterprises to implement a more rational utilization of manufacturing resources by estimating the influence of existing competencies and technological possibilities into productivity and efficiency.

Optimisation of decision-making process in industrial robot selection

“…For a better understanding of the whole complexity of the problem setup, it is useful to see the wider picture based on the ontology model (see Fig. 3) [6]. This shows the task positioning in the field of manufacturing in its whole complexity.…”

High performance workplace design model

“…Essence and role of the workplace in the order handling process (Fig. 5) is based on the model of ontology of a production system [ 7 ]. …”

“…The application of KPIs provides executives with a high-level (company level) or real-time view about the progress in a process or workplace level. The main groups of KPIs are described in [ 7 ].…”

Risk Management in Product Development Process

“…Loss and probability are usually placed in a prioritized list, with those risks that are most probable and that stand to generate the most loss given the most attention. In reality, a lot of guess work goes into this phase of risk management as at times it is almost impossible to evaluate and know the true likelihood as to whether a potential risk will occur or not [3,12].…”