Subramanian Pazhani

Published: Mar 12, 2021 by Multiple Criteria Decision Making in Supply Chain Management
Authors: Subramanian Pazhani
Subjects: Engineering - Industrial & Manufacturing

Bi-Criteria Model for Closed-Loop Supply Chain Network Design Incorporating Customer Behavior

Published: Mar 12, 2021 by Computers & Industrial Engineering
Authors: Subramanian Pazhani, Abraham Mendoza, Ramkumar Nambirajan, TT Narendran, K Ganesh, Elias Olivares-Benitez
Subjects: Engineering - Industrial & Manufacturing

This paper develops decision-making models for two different CLSCs with multiple products over multiple periods. One of the networks has six levels, while the other has four levels, and they can be applied to products with different levels of complexity during inspection and remanufacturing operations. The supply chain networks are modeled as ILP. Taking advantage of the properties of the formulations, we propose an integer relaxation approach to obtain the optimal solution to ILP.

Published: Jan 11, 2020 by Wireless Networks
Authors: Ramkumar Nambirajan, Abraham Mendoza, Subramanian Pazhani, TT Narendran, K Ganesh
Subjects: Engineering - Industrial & Manufacturing

This paper addresses an IRP with a manufacturer that supplies a product using a fleet of vehicles to a set of warehouses over a defined time horizon. We develop a mixed integer linear program to determine the optimal allocation and the routing schedule for warehouses over the defined time horizon. To solve this problem, we propose a three-phase heuristic approach.

Published: Apr 30, 2018 by 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
Authors: Subramanian Pazhani, Thomas Beeg, Kristopher Kowalczyk, Todd Dietrich
Subjects: Engineering - Industrial & Manufacturing

Wafer cleaning process in semiconductor fabrication comprises multiple steps at various stages of the product flow to remove particles and oxidize organic contaminants, using different chemicals. This paper focusses on front-end of the line wafer cleaning steps. We propose a bi-criteria mixed integer linear programming model to allocate daily demands to the equipment groups with the objectives of minimizing the maximum utilization and reducing chemical pre-dispenses.

Published: Jul 31, 2016 by Computers & Industrial Engineering
Authors: Ramkumar Nambirajan, Abraham Mendoza, Subramanian Pazhani, TT Narendran, K Ganesh
Subjects: Engineering - Industrial & Manufacturing

This paper studies an IRP involving multiple products from different suppliers, a central depot (CD) and a set of warehouses. We develop an ILP model to determine the optimal replenishments from suppliers to the CD as well as the routing schedules of vehicles from CD to the multiple warehouses over the defined time horizon. We propose an extended three-phase heuristic. In the heuristic, the replenishment schedules, from suppliers to the CD, is solved using a DP model.

Published: Mar 16, 2015 by International Journal of Production Economics
Authors: Ventura José, Pazhani Subramanian, Mendoza Abraham
Subjects: Engineering - Industrial & Manufacturing

In this paper, we address the problem of optimally locating dwell points for a given number of AGVs in a general guide-path layout. Based on an optimality property, we propose new mixed integer linear programming (MILP) formulations for three versions of the problem: (i) minimizing the mean response time in the system, (ii) minimizing the maximum response time in the system, and (iii) minimizing the maximum response time in the system considering time restrictions on vehicle availability.

Published: Jan 01, 2015 by Applied Mathematical Modelling
Authors: S Pazhani, J Ventura, A Mendoza
Subjects: Engineering - Industrial & Manufacturing

Given the importance of incorporating transportation costs in inventory replenishment and supplier selection decisions, this article addresses the issue of supplier selection and order quantity allocation in a multi-stage serial supply chain system with multiple suppliers considering inventory replenishment, holding, and transportation costs simultaneously.

Published: Jan 01, 2014 by International Journal of Business Analytics (IJBAN)
Authors: Subramanian Pazhani, A Ravi Ravindran
Subjects: Engineering - Industrial & Manufacturing

We consider a closed loop supply chain (CLSC) network with primarily commercial returns, which could be potentially recovered by light repair operations or by refurbishing. The annual estimate of commercial returns in the United States is in excess of $100 billion. This paper discusses the optimal design of a CLSC network. A MILP model is developed to determine the optimal locations of the facilities and the distribution of flows between facilities in the CLSC to maximize the total profit.

Published: Feb 28, 2013 by Applied Soft Computing
Authors: P Subramanian, N Ramkumar, TT Narendran, K Ganesh
Subjects: Engineering - Industrial & Manufacturing

Concerns over environmental degradation, legislative requirements and growing needs of business have fueled the growth of CLSC. We consider a CLSC and address the issues of designing the network and of optimizing the distribution. Four variants of the problem are considered. The problem is modeled as an ILP. We develop a constructive heuristic to provide good initial solutions to a priority-based simulated annealing heuristic, to accelerate its convergence.

Published: Jan 06, 2013 by Journal of Industrial and Production Engineering
Authors: Subramanian Pazhani, N Ramkumar, TT Narendran, K Ganesh
Subjects: Engineering - Industrial & Manufacturing

This paper addresses a bi-objective network design problem for multi-period, multi-product CLSC to minimize the total supply chain costs and to maximize the service efficiency of the warehouses and hybrid facilities. We develop a bi-objective mixed integer linear programming model to assist decisions in (1) location/operating decisions for warehouses, hybrid facilities and manufacturing facilities and (2) production and distribution of products between stages in the supply chain.