Aninda Saha completed his graduation in Industrial & Production Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh. He does research in Supply Chain, Operations Reaserch, Operations Management and Process Improvement with Lean Six Sigma. His most recent publication is 'A Mixed Integer Linear Programming Model for Solving Closed Loop Supply Chain Problems.'
Scheduling has to consider operations sequences, machine load and availability of machines. Its a... more Scheduling has to consider operations sequences, machine load and availability of machines. Its aim is to optimize the objectives with the allocation of resources to tasks within the given time periods. A typical flow shop scheduling problem involves the determination of the order of processing of jobs with different processing times over different machines. In reality, any inaccuracy in scheduling can cause long lead-time, production cost increase, and lateness. This inaccuracy may occur due the inaccurate information, uncertainties in demand and uncertainties production facilities. In this paper, matrix manipulation method with MATLAB is proposed to solve flow shop scheduling problem of n jobs on m machines under uncertain processing time. The problems have been considered for comparative analysis with Palmer's heuristic, CDS heuristic & NEH heuristic. The preliminary result indicates that the proposed code is very efficient and time saving in comparison with other methods to find out the minimum makes span through an optimal sequence for flow shop scheduling problem of n jobs on m machines.
Design of supply chain network considering both forward and reverse flows has been increasing day... more Design of supply chain network considering both forward and reverse flows has been increasing day by day due to resource constraints, increased costs and the importance of utilizing returned products. This paper attempts to integrate both forward and reverse logistics to design a general closed loop supply chain (CLSC) network consisting of manufacturing plant, distribution center and customer market. In this paper, a single-product multi-period mixed integer linear programming model has been designed to minimize the costs of CLSC and to optimize the facility location along with network flows. To evaluate the efficiency of the designed model, it has been implemented to a real case study on a cement industry. Branch and Bound algorithm is used to determine the optimal solution. The result shows that the designed model has successfully optimized the location of facilities and network flows. The result indicates that, in practice, the proposed model is applicable.
Scheduling has to consider operations sequences, machine load and availability of machines. Its a... more Scheduling has to consider operations sequences, machine load and availability of machines. Its aim is to optimize the objectives with the allocation of resources to tasks within the given time periods. A typical flow shop scheduling problem involves the determination of the order of processing of jobs with different processing times over different machines. In reality, any inaccuracy in scheduling can cause long lead-time, production cost increase, and lateness. This inaccuracy may occur due the inaccurate information, uncertainties in demand and uncertainties production facilities. In this paper, matrix manipulation method with MATLAB is proposed to solve flow shop scheduling problem of n jobs on m machines under uncertain processing time. The problems have been considered for comparative analysis with Palmer's heuristic, CDS heuristic & NEH heuristic. The preliminary result indicates that the proposed code is very efficient and time saving in comparison with other methods to find out the minimum makes span through an optimal sequence for flow shop scheduling problem of n jobs on m machines.
Design of supply chain network considering both forward and reverse flows has been increasing day... more Design of supply chain network considering both forward and reverse flows has been increasing day by day due to resource constraints, increased costs and the importance of utilizing returned products. This paper attempts to integrate both forward and reverse logistics to design a general closed loop supply chain (CLSC) network consisting of manufacturing plant, distribution center and customer market. In this paper, a single-product multi-period mixed integer linear programming model has been designed to minimize the costs of CLSC and to optimize the facility location along with network flows. To evaluate the efficiency of the designed model, it has been implemented to a real case study on a cement industry. Branch and Bound algorithm is used to determine the optimal solution. The result shows that the designed model has successfully optimized the location of facilities and network flows. The result indicates that, in practice, the proposed model is applicable.
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Papers by Aninda Saha