The Lack of Knowledge? Change the Way You Work

Roblek, Matjaž; Zajec, Maja; Kern, Tomaž

doi:10.1109/hicss.2011.423

Cited by 5 publications

(9 citation statements)

References 4 publications

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“…Regarding the theory of work position breaks, work position knowledge structure and employee knowledge capacity, we modified our previously published model [22]. Figure 1 shows the steps of upgraded conceptual model.…”

Section: Methodsmentioning

confidence: 99%

“…Many cases have been found in practice in ETO companies in which the management solved the problem of outgoing knowledge with reorganization of internal employees rather than with the simple extension of employees' existing capacities, for example, overtime work [22]. We also set two assumptions that were not subjects of this research: first, we accepted that in ETO production, business processes are constantly changing and, therefore, knowledge requirements are also changing.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Surprisingly, even an excess of actual knowledge over the required level of knowledge has the same result of over-educated and intelligent employees becoming bored when they are executing routine activities [22]. Therefore, we modified a classic assignment linear integer problem of Kolman and Beck [3].…”

Section: Measuring Optimal Knowledge Alignmentmentioning

confidence: 99%

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Knowledge‐Based Assignment Model for Allocation of Employees in Engineering‐to‐Order Production

Roblek¹,

Zajec²,

Urh³

2017

Knowledge Management Strategies and Applications

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In today's rapidly changing business environment, it is necessary to react promptly in response to the product changes that happen constantly in an Engineering-to-Order production environment. Very often, there is not sufficient time to educate employees regarding new and necessary knowledge. If we insist on the standardization of a process execution, the process always requires appropriate knowledge from among available employees. In this chapter, an option for adjusting processes to available knowledge is studied. Following calculations, it was concluded that a partial corruption of a perfect process leads to a better knowledge alignment of employees. At first, with the corruption of a perfect process, its efficiency is decreased, but with better knowledge alignment, process efficiency is consequently increased to a level better than the original one. The optimization model presented in this chapter is based on a modified classic assignment problem and it includes a numerical example based on the data of ETO company. We proved our findings from the aspects of balance, employee capacity load and process efficiency.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Knowledge‐Based Assignment Model for Allocation of Employees in Engineering‐to‐Order Production

Roblek¹,

Zajec²,

Urh³

2017

Knowledge Management Strategies and Applications

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“…Every new change in business processes can change the knowledge structure of a work position, because knowledge requirements aggregate on work positions (Meglič et al, 2009). Therefore, a current employee is not sufficiently educated, with regards to process and knowledge requirements (Roblek et al, 2011). This is a so-called knowledge gap (Kern et al, 2005), which can be often seen in engineering-to-order (ETO) production processes, in which a set of unique products is produced for the first and probably the only time (Roblek and Zajec, 2012).…”

Section: Introductionmentioning

confidence: 99%

Eliminating Knowledge Bottlenecks Using Fuzzy Logic

2013

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in the formation of new processes, innovations generated by people possessing the right knowledge and talent play a crucial role. our starting point was the fact that every new change in processes can alter the knowledge structure of a work position or work role. this means that a person can become a knowledge bottleneck in the process. if this person is found on a critical path, the process cannot produce the output in a desired form, extent or quality, unless the bottleneck is removed. for this reason, we developed a decision model founded on fuzzy logic. the result of the fuzzy model is knowledge estimation based on deviation between the required and actual knowledge. for faster decision making, we made a presentation of allocated people on desired roles using the heat map technique. therefore, the employers make better decisions on actual knowledge allocation, acquiring missing knowledge, or defining knowledge required for the future, which makes them more competitive.

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“…Students were asked to prepare the concepts for development or research projects to include the definition of the project purpose, objectives, and constraints. In the project charter, each student developed the project content and created the work breakdown structure (WBS) [30]. The results of student work were carefully reviewed and discussed by the mentor.…”

Section: Assignment 4: Conception and Planning Of An Randd Projectmentioning

confidence: 99%

Implementation of a Multidisciplinary Professional Skills Course at an Electrical Engineering School

Gider¹,

Likar

Kern

et al. 2012

IEEE Trans. Educ.

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Abstract-This paper describes a case study of an innovative approach to teaching at an engineering school. The postgraduate course Project Work and Communication in Research and Development (R&D) was developed at the Faculty of Electrical Engineering of the University of Ljubljana, Ljubljana, Slovenia. The main aim of the course was to make the entry of young engineering graduates into the business environment as easy as possible. Currently, engineers are facing more and more interdisciplinarity and project work in their daily assignments. The course was designed to remedy any deficiencies in the multidisciplinary professional skills and knowledge of the graduate-level students, and it covered the topics of innovation management, communication in R&D, project management, and problem solving in teams. An end-of-course survey showed positive feedback from participating students. The empirical data (enrollment ratio of students, session attendance ratio, and average student grade) proves that the course met its goal of honing the professional skills of postgraduate engineering students.Index Terms-Communication, education, electrical engineering education, problem solving, project management, research and development (R&D).

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The Lack of Knowledge? Change the Way You Work

Cited by 5 publications

References 4 publications

Knowledge‐Based Assignment Model for Allocation of Employees in Engineering‐to‐Order Production

Knowledge‐Based Assignment Model for Allocation of Employees in Engineering‐to‐Order Production

Eliminating Knowledge Bottlenecks Using Fuzzy Logic

Implementation of a Multidisciplinary Professional Skills Course at an Electrical Engineering School

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