• Student-Centered Dynamic Syllabus Development for Mathematical Programming
  • Missouri Alternate Lane Shift Configurations Analysis
  • Missouri Alternate Merge Sign Configurations Analysis
  • Computational Intelligence Approach to System of Systems Architecting & Analysis
  • Track Inspection Planning and Risk Measurement Analysis
  • Analysis of Carbon Emission Regulations in Supply Chains with Volatile Demand
  • Truck Congestion Mitigation in Volatile Multi-item Supply Chains
  • RT-44 Enterprise and System of System Modeling Part 3 Phase II

Student-Centered Dynamic Syllabus Development for Mathematical Programming


Student-Centered Dynamic Syllabus Development for Mathematical Programming 

INVESTIGATORS
Dincer Konur (PI, konurd@mst.edu, 573-342-7256)

FUNDING SOURCE
The Center for Educational Research and Teaching Innovation at Missouri S&T.

PROJECT DESCRIPTION
This project focuses on developing a student-centered dynamic syllabus for Mathematical Programming course, a graduate level course offered both on-campus and distance at Missouri University of Science and Technology. Specifically, Mathematical Programming is a set of tools used to mathematically model and solve many engineering, science, and business as well as social science problems. Nevertheless, Mathematical Programming concepts are very broad and it is impossible to cover all of these concepts in one course. Therefore, students enrolled in this course might not learn what they want/need to learn. This project is planning to develop a framework for creating and evaluating the success of a student-centered syllabus preparation. 

PUBLICATIONS
*this project has recently started and is in progress.

Missouri Alternate Lane Shift Configurations Analysis


Work Zone Simulator Analysis: Driver Performance and Acceptance of Missouri Alternate Lane Shift Configurations

 

Dr. Ruwen Qin Project 2 Image

 

INVESTIGATORS
Suzanna Long (PI), Dincer Konur (Co-PI), Ruwen Qin (Co-PI) and Ming Leu (Co-PI) 


FUNDING SOURCE
Missouri Department ofTransportation, Intelligent Systems Center, and Department of Engineering Management and Systems Engineering at Missouri S&T.


PROJECT DESCRIPTION
This project develops driving scenarios using the Missouri S&T driver simulator for use in the evaluation of a Missouri alternate lane shift sign configuration for work zones. Drivers will complete the scenarios comparing the current Federal Highway Administration (FHWA) approved merge sign configuration with an alternate merge sign configuration proposed by Missouri Department of Transportation (MODOT). Specifically, the project evaluates and compares the driving behavior of different driver categories (grouped based on gender and age range) with MODOT and FHWA signs.


PUBLICATIONS

*this project is still in progress.

Missouri Alternate Merge Sign Configurations Analysis


Work Zone Simulator Analysis: Driver Performance and Acceptance of Missouri Alternate Merge Sign Configurations 


Dr. Ruwen Qin Project 3 Image

INVESTIGATORS
Suzanna Long (PI), Dincer Konur (Co-PI), Ruwen Qin (Co-PI) and Ming Leu (Co-PI) 


FUNDING SOURCE
Missouri Department ofTransportation, Intelligent Systems Center, and Department of Engineering Management and Systems Engineering at Missouri S&T.


PROJECT DESCRIPTION
Improving work zone road safety is an issue of great interest due to the high number of crashes observed in work zones. Departments of Transportation (DOTs) use a variety of methods to inform drivers of upcoming work zones. One method used by DOTs is work zone signage configuration. It is necessary to evaluate the efficiency of different configurations, by law, before implementation of new signage designs that deviate from national standards. This research presents a driving simulator based study, funded by the Missouri Department of Transportation (MoDOT) that evaluates a driver’s response to work zone sign configurations. This study has compared the Conventional Lane Merge (CLM) configurations against MoDOT's alternate configurations. Study participants within target populations, chosen to represent a range of Missouri drivers, have attempted four work zone configurations, as part of a driving simulator experience. The test scenarios simulated both right and left work zone lane closures for both the CLM and MoDOT alternatives. Travel time was measured against demographic characteristics of test driver populations. Statistical data analysis was used to investigate the efficiency of different configurations employed in the study. The results of this study were compared to results from a previous MoDOT study.


PUBLICATIONS

  1. Use of traffic simulators to determine driver response to work zone configurations”, Moradpour, S., S.Wu, S. Long, M. C. Leu, D. Konur, R. Qin. 2015. Proceedings of the American Society for Engineering Management 2015 International Annual Conference (Eds. S. Long, E-H. Ng, and A. Squires). 

Computational Intelligence Approach to System of Systems Architecting & Analysis


Computational Intelligence Approach to System of Systems Architecting and Analysis


Dr. Ruwen Qin Project 4 Image

 

INVESTIGATORS
Cihan Dagli (PI, Missouri S&T), Dincer Konur (Co-PI, Missouri S&T, konurd@mst.edu, 573-342-7256), Ruwen Qin (Co-PI, Missouri S&T), Abhijit Gosavi (Co-PI, Missouri S&T), David Enke (Co-PI, Missouri S&T), Nil Ergin (Co-PI, Penn State).

 
FUNDING SOURCE
Department of Defense through Systems Engineering Research Center (a University-Army-Research-Center) at Stevens Institute of Technology.

 
PROJECT DESCRIPTION
Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. Our quest in this project is to handle complexities, design and operations of these systems. The challenge in Complex Adaptive Systems design is to design an organized complexity that will allow a system to achieve its goals. This report attempts to push the boundaries of research in complexity, by identifying challenges and opportunities. Complex adaptive system-of-systems (CASoS) approach is developed to handle this huge uncertainty in socio-technical systems.

 
PUBLICATIONS

  1. A multi-objective system of systems architecting problem with inflexible and flexible systems: formulation and solution methods” Konur, D., H. Farhangi, C.H. Dagli. 2016. OR Spectrum 38 (4), 967-1006.
  2. Multi-Objective System of Systems Architecting with Performance Improvement Funds” Farhangi, H., D. Konur, C.H. Dagli. 2016. Proceedings of the 2016 Complex Adaptive Systems Conference, Accepted.
  3. Combining Max-Min and Max-Max Approaches for Robust SoS Architecting” Farhangi, H., D. Konur, C.H. Dagli. 2016.  Proceedings of the 2016 Complex Adaptive Systems Conference, Accepted. 
  4. A Separation Method for the Multi-objective Set Covering Problem” Farhangi, H., D. Konur, C.H. Dagli. 2016. Proceedings of the 2016 Industrial and Systems Engineering Research Conference (Eds. H. Yang, Z. Kong, and MD Sarder), Accepted.
  5. A contract negotiation model for constituent systems in the acquisition of acknowledged system of systems,” Qin, R., C. Dagli, N. Amaeshi 2016. IEEE Transactions on Systems, Man, and Cybernetics: Systems. Accepted. 

Track Inspection Planning and Risk Measurement Analysis


Track Inspection Planning and Risk Measurement Analysis


Dr. Dincer Konur Project 5

INVESTIGATORS
Dincer Konur (PI), konurd@mst.edu, 573-342-7256), Suzanna Long (Co-PI) longsuz@mst.edu, Ruwen Qin (Co-PI) qinr@mst.edu, and A. Curt Elmore (Co-PI).


FUNDING SOURCE
Missouri Department of Transportation and Mid-America Transportation Center at University of Nebraska-Lincoln.


PROJECT DESCRIPTION
This project models track inspection operations on a railroad network and discusses how the inspection results can be used to measure the risk of failure on the tracks. In particular, the inspection times of the tracks, inspection frequency of the tracks, and times between consecutive inspections on the same tracks should be considered for scheduling inspections on the railroad tracks. Furthermore, an inspection plan should schedule inspections considering the characteristics of different tracks. Therefore, it is important to schedule track inspections such that the potential defects are captured as much as possible within minimum times to increase safety. The project formulates a mathematical optimization problem for the track inspection planning considering the practical settings of track inspection operations such as inspection times, inspection frequencies required, time between consecutive inspections, and importance of distinct tracks. The two objectives simultaneously captured in this model are minimization of total inspection times and maximization of the weighted inspections. An efficient solution method is proposed for solving this model. The solution method is compared to a scheduling procedure, which can be used in absence of the findings in this project, on a set of railroad track networks of different sizes. Based on the comparison, the solution method proposed proves to find improved inspection schedules regardless of the railroad network size. A review of the techniques on how to use the inspection results to measure risk of failure is provided.


PUBLICATIONS

  1. Track Inspection Planning with Safety and Time Considerations”, Farhangi, H., D. Konur, S. Long, R. Qin, J. Harper. 2016. Under second round review with Journal of Rail Transport Planning and Management.
  2. A Bi-objective Railroad Inspection Planning Problem,” Farhangi, H., D. Konur, S. Long, R. Qin, J. Harper. 2015. Proceedings of the 2015 Industrial and Systems Engineering Research Conference (Eds. S. Cetinkaya and J. K. Ryan), 694-703.
  3. Track Inspection Planning and Risk Measurement Analysis,” Missouri Department of Transportation, Technical Report. 

Analysis of Carbon Emission Regulations in Supply Chains with Volatile Demand


Analysis of Carbon Emission Regulations in Supply Chains with Volatile Demand

Dr. Dincer Konur Project 6

INVESTIGATORS
Dincer Konur (PI, Missouri S&T, konurd@mst.edu, 573-342-7256), James Campbell (Co-PI, University of Missouri – St. Louis)


FUNDING SOURCE
University of Missouri System Interdisciplinary Intercampus Program and National University Transportation Center (NUTC) at Missouri S&T.


PROJECT DESCRIPTION
The objective of this research is to evaluate the impact of carbon emission regulations on supply chains with volatile demand. Supply chain operations such as inventory holding, freight transportation, logistics, and warehousing activities are major contributors to emissions for manufacturing, retailing, transportation, health, and service industries.  Therefore, it is crucial that supply chain agents plan their operations with environmental considerations. Recently, several forms of carbon emission regulations have been proposed and/or implemented to reduce emissions. This research models and solves a supply chain agent’s operations planning problem under two well-known carbon regulations: carbon-taxing and carbon-cap-and-trade. The growing literature on “green” supply chains and emissions is nearly exclusively focused on settings with deterministic demand. To better capture practical aspects of supply chains/logistics, our research formulates an integrated inventory control and transportation model with stochastic demand under the aforementioned carbon regulations. This model is solved using engineering management/operations research concepts.

PUBLICATIONS

  1. Economic and Environmental Considerations in A Stochastic  Inventory Control Model with Order Splitting uncer Different Delivery Schedules Among Suppliers,” Konur, D.,J. Campbell, S.A. Monfared. 2016. OMEGA, Accepted.
  2. Economic and environmental comparison of grouping strategies in coordinated multi-item inventory systems,” Konur, D., B. Schaefer. 2016. Journal of the Operational Research Society 67 (3), 421-436.
  3. Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions,” Schaefer, B., D. Konur. 2015. Transportation Research Part E 80, 142-165.
  4. Integrated inventory control and transportation decisions under carbon emissions regulations: LTL vs. TL carriers,” Konur, D., B. Schaefer. 2014. Transportation Research Part E 68, 14-38.
  5. NUTC/Analysis of Carbon Emission Regulations in Supply Chains with Volatile Demand,” Final Report.

Truck Congestion Mitigation in Volatile Multi-item Supply Chains


Truck Congestion Mitigation through Freight Consolidation in Volatile Multi-item Supply Chains

Dr. Dincer Konur Project 7

INVESTIGATORS
Dincer Konur (PI, Missouri S&T, konurd@mst.edu, 573-342-7256), Mihalis M. Golias (Co-PI, University of Memphis)


FUNDING SOURCE
Department of Transportation through Intermodal Freight Transportation Institute (a University-Transportation-Center) at University of Memphis


PROJECT DESCRIPTION
This research initiative investigates innovative policies for efficient planning of shipments by trucks in supply chains. In particular, the focus will be on increasing the utilization of different types of trucks used in a multi-item supply chain with demand volatility. Therefore, anticipated reductions in the number of trucks, as a result of this research, will also decrease congestion and maintenance costs, and increase safety on the transportation network.This research introduces new shipment consolidation policies that will create a win-win situation by lowering transportation costs and reducing truck congestion. One of the outcomes is optimization tools that enables determining efficient shipment consolidation policies for multi-item supply chains with volatile demand. These tools are expected to be used by supply chain agents for efficient and greener logistics planning.


PUBLICATIONS 

  1. Intermodal Freight Transportation Institute, University of Memphis, Final report: http://www.memphis.edu/ifti/research/truckcongestion.pdf 

RT-44 Enterprise and System of System Modeling Part 3 Phase II


RT-44 Enterprise and System of System Modeling Part 3 Phase II

 

Dr. Ruwen Qin Project 5 Image


INVESTIGATORS
Cihan Dagli (PI, Missouri S&T), Dincer Konur (Co-PI, Missouri S&T, konurd@mst.edu, 573-342-7256), Ruwen Qin (Co-PI, Missouri S&T), Abhijit Gosavi (Co-PI, Missouri S&T), David Enke (Co-PI, Missouri S&T), Nil Ergin (Co-PI, Penn State), John Colombi (Co-PI, Airforce Institute of Technology), Kristin Giammarco (Co-PI, Naval Postgraduate School).


FUNDING SOURCE
Department of Defense through Systems Engineering Research Center (a University-Army-Research-Center) at Stevens Institute of Technology.


PROJECT DESCRIPTION
The goal of this research is to model the evolution of the architecture of an acknowledged System of Systems that accounts for the ability and willingness of constituent systems to support the System of Systems capability development. In particular, the research focuses on the impact of individual system behavior on the System of Systems capability and architecture evolution processes.

 
PUBLICATIONS

  1. Military system of systems architecting with individual system contracts”, Konur, D., C.H. Dagli. 2015. Optimization Letters 9 (8), 1749-1767. 
  2. Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of- Systems” Siddhartha, A., L.E. Pape, C.H. Dagli, N.K. Ergin, D. Enke, A. Gosavi, R. Qin, D. Konur, R.Wang, R.D. Gottapu. 2015.  Procedia Computer Science 44 (Proceedings of the 2015 Conference on Systems Engineering Research), 76-85. 
  3. On the Flexibility of Systems in System of Systems Architecting” Konur, D., H. Farhangi, C.H. Dagli. 2014. Procedia Computer Science 36C (Proceedings of the 2014 Complex Adaptive Systems Conference), 65-71.