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[CT162]

Session Date & Time : 3E (Aug.23, 17:40-19:20)
Type : Industrial Contributed Talk
Abstract : The non-linear fixed-charge transportation problems are one of the challenging NP-hard problems. Hence, a new non-linear particle swarm optimization algorithm (NPSO) with new inertia weight and acceleration coefficients have been introduced that not only explores the search space but also maintains the feasibility condition of the transportation problem. The performance of the proposed NPSO is compared with its existing variants. Also, some benchmarks problems from the literature have been solved and the results are compared.
Classification : 90B06, 90C30, 90C90, 90C06
Author(s) :
- Shivani Saini (Dr B R Ambedkar National Institute of Technology Jalandhar (INDIA))
- Deepika Rani (Dr B R Ambedkar National Institute of Technology Jalandhar (INDIA))

Session Date & Time : 3E (Aug.23, 17:40-19:20)
Type : Contributed Talk
Abstract : 5G networks deal with high-frequency data rates, ultra-low latency, more reliability etc. To optimize energy in UE, long-term evolution (LTE)-5G networks adopt the Discontinuous Reception (DRX) Scheme with a fixed number of short sleep. Hence, we have modeled a new modified DRX (MD-DRX) for LTE-5G networks and obtained the system's optimal energy-saving and throughput. To get the energy efficiency for LTE-5G networks, the trade-off between average energy consumption/ energy-saving and throughput is shown.
Classification : 90B18, 90B22, 68M20
Author(s) :
- Priyanka Kalita (Amity University Noida)
- Dharmaraja Selvamuthu (Indian Institute of Technology Delhi)

Session Date & Time : 3E (Aug.23, 17:40-19:20)
Type : Industrial Contributed Talk
Abstract : This investigation deals with the performance modeling of Markovian fault tolerant machining system with imperfect switching and reneging. The system operates under the care of failure prone software and multiple reliable servers and skilled operator for the repair of system software. Using Runge-Kutta IV method, the system state probabilities and other key performance indices are obtained. Adaptive Neuro-Fuzzy Inference Systems is employed to compare the numerical results obtained by R-K method.
Classification : 90B22, 90B22, 90B25, 60K25, 60K30
Author(s) :
- Madhu Jain (Indian Institute of Technology Roorkee)
- Mayank Singh (Indian Institute of Technology Roorkee)

Session Date & Time : 3E (Aug.23, 17:40-19:20)
Type : Industrial Contributed Talk
Abstract : Our industrial problem consists of building batch annealings from a sample of steel coils. We have to consider all the rules/constraints related to the characteristics of coils and constraints related to technology. The objective is to ensure the annealing of coils at the minimum cost. This problem is a simultaneous NP-hard bin packing type. A two-stage method is developed in this paper to address this problem: stage one refers to a smart enumeration of all possible and feasible bins. Then, the second stage will consist of finding the optimal solution for an ILP.
Classification : 90B30, 90C10
Author(s) :
- Abdelghani Bouras (Industrial Engineering Department, College of Engineering, Al lFaisalUniversity)

Session Date & Time : 3E (Aug.23, 17:40-19:20)
Type : Contributed Talk
Abstract : We concentrate on the scheduling problem in surgical operating room that involves limited equipment and surgical specialities. Our objective is develop a feasible schedule that consider resources utilization, prioritized patients in health risk condition and availability of the surgical specialities teams. Our approach is the assignation of operating room by block using week horizon with different relative weight. A mathematical model is proposed to optimum the operating room scheduling performance.
Classification : 90B35
Author(s) :
- Syarifah Zyurina Nordin (Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia)