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

**Knowledge**‐**Based Assignment Model for Allocation of** 

DOI: 10.5772/intechopen.70073

Matjaz Roblek, Maja Zajec and Benjamin Urh Matjaz Roblek, Maja Zajec and Benjamin Urh Additional information is available at the end of the chapter

Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/intechopen.70073

### **Abstract**

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.

**Keywords:** knowledge allocation, optimization model, activity‐cutting principle, ETO
