Making engineering projects more thoughtful with the use of fuzzy value-based project planning

Abstract

Generally, engineering projects are getting bigger and bigger and more complex to handle. Due to the developments of information technology, managers have the opportunity to plan the execution of their projects and calculate the critical paths of those projects precisely, regardless of the types and sizes of their projects. However, these indicators are not realistic; in many cases the predetermined partial-deadlines cannot be kept, therefore the end of the project must be postponed. The aim of the research is to modify the inputs of the critical path method with the application of fuzzy values. The use of fuzzy values in business planning can support project managers in building the uncertainty factor into their model.

Comparative case study on system-integrated measurement technologies

“…6). The rating scores for mean scores are significantly affected by the following weighted points: E5-Data collection for reports; E6 -Data evaluation; E3 -Difficulty of programming; E8 -Sensor compatibility; E4 -User friendliness [11], [12], [13], [14], [15], [16].…”

Robustness Evaluation Process for Scheduling under Uncertainties

“…Considering the uncertainties modeled by fuzzy description, the possibility theory provides the theoretical basis for defining relevant metrics based on the concepts of belief and plausibility [7]. For an application of fuzzy description in scheduling, the reader can refer to [24] or [17].…”

“…The bounded form is typically relevant when this information is not enough in order to develop an accurate description of the probability distribution, but only error bounds can be obtained [16]. The fuzzy description [17] is relevant when historical data are not readily available. Regarding the Industry 4.0 context, it is reasonable to consider that data coming back from the shopfloor can be used to build sufficiently rich information on the uncertainties.…”

The impact of the software architecture on the developer productivity

“…Enterprise resource planning-system is one of the instruments to implement disruptive ideas in business and create long-time competitive advantages [8]. Fuzzy based production planning became more accurate and more realistic than the result of a traditional network model due to the factors of unpredictability of the human workforce and those of unforeseeable interruptions in the production [9].…”