To gather reproducible measurement results, metrologists need a variety of competences. Yet, also other groups of staff in a manufacturing enterprise need competences in metrology in order to assure the appropriate specification of tolerances or sufficient consideration of inspectional requirements in production processes.

Therefore, the strict focus of metrological qualification on staff preparing or performing the actual measurements is insufficient for the efficient assurance of conformity. Additionally, on the one hand a demand-oriented qualification concept is needed to impart required fundamental knowledge on manufacturing metrology according to the specific needs of each user group. On the other hand, appropriate measures of knowledge management have to be applied in order to assure a proper application of the gathered knowledge and enhance mutual understanding for the requirements of other involved user groups.

Thus, as amendment for user-specific measures of formal qualification, a concept has been developed to enable knowledge transfer among different groups and departments in an enterprise. By this holistic approach, the impact of measures of qualification can be increased and high product quality can be achieved as a common aim of all related groups of staff.

Today, the changes in market requirements and the technological advancements are influencing

the product development process. Customers demand a product of high quality and fast

delivery at a low price, while simultaneously expecting that the product meet their individual

needs and requirements. For companies characterized by a highly customized production, it

is essential to reduce the trial-and-errors cycles to design new products and process. In such

situation most of the company’s knowledge relies on the lessons learnt by operators in years

of work experience, and their ability to reuse this knowledge to face new problems. In order

to develop unique product and complex processes in short time, it is mandatory to reuse

the acquired information in the most efficient way. Several commercial software applications

are already available for product lifecycle management (PLM) and manufacturing execution

system (MES). However, these two applications are scarcely integrated, thus preventing an

efficient and pervasive collection of data and the consequent creation of useful information.

The aim of this paper is to develop a framework able to structure and relate information

from design and execution of processes, especially the ones related to anomalies and critical

situations occurring at the shop floor, in order to reduce the time for finalizing a new product.

The framework has been developed by exploiting open source systems, such as ARAS

PLM and PostgreSQL. A case study has been developed for a car prototyping company to

illustrate the potentiality of the proposed solution.

The objectives of this research are to study the direct influence on the competitive advantage

and pattern development of variables affecting the competitive advantage of the Thai oil

palm industry. This research employs a quantitative research method. The population for

the study consists of 150 oil palm industrial operators in Thailand. Questionnaires are used

in the data collection and the data are analyzed by using SEM. The research results reveal

that the Knowledge Management Process and Supply Chain Integration positively influence

the competitive advantage in the quality, delivery, and cost. The competitive advantage

receives a positive direct impact from the Knowledge Management Process and Supply

Chain Integration. The variation of competitive advantage can be explained as 84%. The

obtained results can be used for developing the industry to create economic growth and

sustainable competitive advantage.

The dynamically changing environment forces companies to introduce changes in production processes and the need for employees to adapt quickly to new tasks. Therefore, it is expected to implement solutions to support employees. The system that will manage the work on a manufacturing line should work in real time to support the ongoing activities and, to be implemented in SMEs, must not be expensive. The authors identified important system components and expected functionalities. The methodology of the work is based on humancentered design. A concept of a cyber-physical system is proposed. The aim of the proposed edge computing-based system is to manage the work on the manufacturing line in which certain elements communicate with each other to achieve common goals. The paper presents what the system can consist of, how information and knowledge are managed in the system, and what can be the benefits for enterprises from its implementation.

The paper deals with recent developments in the fields of applied mathematics and operational research triggered by the needs of effective support of environmental policy-making processes that require interdisciplinary science-based advice. Mathematical models developed for this purpose demand new modeling paradigms for an adequate integration of pertinent knowledge. and creation of knowledge needed for rational decision-making. The article first summarizes the model-based support for problem solving from the point of view of actual decision-makers. Next, il discusses the model representation of the knowledge pertinent lo a given decision-making problem, and the recently developed modeling technology supporting the whole process of modeling complex problems. The last parł deals with novel methods and tools for integrated management of risks related to natural catastrophes. The presented methodology is illustrated by its application lo actual environmental policy-making support.