Special Issue: Uncertainty Applications in Industrial Engineering

AIMS AND SCOPE

Uncertainty approaches to epistemic situations involving imperfect or unknown information. They are usually most appropriate when human evaluations and the modeling of human knowledge are needed. The lack of certainty, a state of limited knowledge where it is impossible to exactly describe the existing state, a future outcome, or more than one possible outcome. In optimization, uncertainty permits one to describe situations where the user does not have full control on the final outcome of the optimization procedure [1-3].

Industrial engineering (IE) is concerned with the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers are concerned with reducing production costs, increasing efficiency, and improving the quality of products and services [4-7]. IE uses a significant number of applications of uncertainty theory. Also, application uncertainty in operational research tools are needed to solve these decision problems in industrial engineering for decision makers from a multi-dimensional perspective [8-10].

The purpose of this Special Issue is to gather a collection of articles reflecting the latest developments in different fields of industrial engineering by applying uncertainty theory for manufacturing systems and technology management, optimization techniques, supply chain, inventory, scheduling, location-allocation, renweable energy, application of blockchain,  and others.

Topics of interest include but are not limited to:

  • Fuzzy Optimization Techniques,
  • Robust Optimization Techniques,
  • Data-driven Robust Optimization Techniques,
  • Multiobjective Optimization Techniques,
  • Fuzzy and Robust Multi criteria decision making,
  • Neutrosophic Science in Industrial Engineering,
  • Stochastic and Possibilistic programming
  • Chance-constraint approach.

References

[1] Lotfi, R., Yadegari, Z., Hosseini, S. H., Khameneh, A. H., Tirkolaee, E. B., & Weber, G. W. (2022). A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project. Journal of Industrial & Management Optimization, 18(1), 375.

[2] Lotfi, R., Safavi, S., Gharehbaghi, A., Ghaboulian Zare, S., Hazrati, R., & Weber, G. W. (2021). Viable Supply Chain Network Design by considering Blockchain Technology and Cryptocurrency. Mathematical Problems in Engineering, 2021.

[3] Lotfi, R., Kargar, B., Gharehbaghi, A., & Weber, G. W. (2021). Viable medical waste chain network design by considering risk and robustness. Environmental Science and Pollution Research, 1-16.

[4] Lotfi, R.; Kargar, B.; Hoseini, S.H.; Nazari, S.; Safavi, S.; Weber, G.W. Resilience and sustainable supply chain network design by considering renewable energy. Int. J. Energy Res. doi:10.1002/er.6943.

[5] Lotfi, R., Sheikhi, Z., Amra, M., AliBakhshi, M., & Weber, G. W. (2021). Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize. International Journal of Logistics Research and Applications, 1-41.

[6] Lotfi, R., Kheiri, K., Sadeghi, A., & Babaee Tirkolaee, E. (2022). An extended robust mathematical model to project the course of COVID-19 epidemic in Iran. Annals of Operations Research, 1-25.

[7] Zare Mehrjerdi, Y., & Lotfi, R. (2019). Development of a mathematical model for sustainable closed-loop supply chain with efficiency and resilience systematic framework. International Journal of Supply and Operations Management, 6(4), 360-388.

[8] Lotfi, R., Nayeri, M., Sajadifar, S., & Mardani, N. (2017). Determination of start times and ordering plans for two-period projects with interdependent demand in project-oriented organizations: A case study on molding industry. Journal of Project Management, 2(4), 119-142.

[9] Lotfi, R., Mardani, N., & Weber, G. W. (2021). Robust bi‐level programming for renewable energy location. International Journal of Energy Research, 45(5), 7521-7534.

[10] Lotfi, R., Safavi, S., Gharehbaghi, A., Ghaboulian Zare, S., Hazrati, R., & Weber, G. W. (2021). Viable Supply Chain Network Design by considering Blockchain Technology and Cryptocurrency. Mathematical Problems in Engineering, 2021.

The acronym

Uncertainty Applications in Industrial Engineering

Accronym: UAIE

 

Deadline for manuscript submissions:

Important Dates

 

  • Paper Submission Due: 01.05.2022
  • Notification of Review Results: 31.07.2022
  • Revised Manuscript Due: 31.08.2022
  • Final Decision: 05.10. 2022

Guest editors:

1. Dr. Reza Lotfi,

email: rezalotfi@stu.yazd.ac.ir

Yazd University, Tehran, Iran

2. Professor Gerhard-Wilhelm Weber,

email: gerhard.weber@put.poznan.pl

Poznan University of Technology, Poznań, Poland

3. Professor Eren Özceylan

Assoc. Prof Gaziantep University, Gaziantep, Turkey

email: eozceylan@gantep.edu.tr

Please submit a full-length paper through the Journal of Fuzzy Extension & Applications (JFEA) online submission system and indicate it is to this special issue. Papers should be formatted according to the “Guide for Authors” on the journal website. 

To submit your manuscript to this special issue  you need to insert " Select Manuscript Type" as "SI: UAIE"