**Author details**

**6. Conclusion**

**Table 3.** *FMCS results.*

**Table 2.**

*Alternatives of equipment configurations.*

cost and duration of the project.

Virginia, United States of America.

**Acknowledgements**

**176**

This chapter proposes a new FMCS model. This model can consider both fuzzy and probabilistic uncertainty in the resource planning problem. The model provides decision-makers with the ability to reduce risk in the output in the form of fuzziness and probabilistic uncertainty, and he/she can use subjective judgment and experience to make the final decision. A case study has been analyzed to evaluate the robustness of the FMCS model. The outcomes show that the proposed FMCS model could help reduce the duration and cost of a certain task, which will help reduce the

**Alternatives Configurations** Alt 1 4 of 20-cu yd haulers

*Concepts, Applications and Emerging Opportunities in Industrial Engineering*

Alt 2 5 of 20-cu yd haulers

Alt 3 4 of 20-cu yd haulers Alt 4 3 of 20-cu yd haulers Alt 5 2 of 20-cu yd haulers

Alt 6 8 of 20-cu yd haulers

Alt 7 6 of 20-cu yd haulers

**Alternatives Shift duration (days) Shift cost (\$)** Alt 1 26 77,438 Alt 2 26 86,667 Alt 3 27 63,780 Alt 4 31 67,549 Alt 5 33 61,170 Alt 6 17 98,014 **Alt 7 17 79,050**

2 of 15-cu yd haulers

2 of 15-cu yd haulers

2 of 15-cu yd haulers

3 of 15-cu yd haulers

3 of 15-cu yd haulers

The research leading to the publication of this chapter was partially supported by the Department of Civil Engineering at Marshall University in Huntington, West Mohammad Ammar Alzarrad Marshall University, Huntington, USA

\*Address all correspondence to: alzarrad@marshall.edu

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
