Kamlesh Lohar | Mumbai University (original) (raw)

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Papers by Kamlesh Lohar

Research paper thumbnail of Multi-criteria evaluation within concept planning phase of assembly system design

Procedia CIRP, 2021

Abstract This paper presents a new multi-criteria evaluation method in the field of assembly syst... more Abstract This paper presents a new multi-criteria evaluation method in the field of assembly system design using graph-based design languages. After introducing in the concept planning phase of assembly system design, this contribution illustrates current approaches and criteria to evaluate the results of the design process. Afterwards, mathematical principles of multi-criteria evaluation and optimization are portrayed. The newly developed evaluation method as core basis for decision making combines the advantages of two approaches: the manufacturing system value as well as the meta-objective function. The information-technical implementation of this new profitable evaluation method is executed using graph-based design languages. By means of a concrete use case – the assembly planning of a self-balancing two-wheeled scooter – both the procedure and extensive advantages of the new multi-criteria evaluation method are demonstrated.

Research paper thumbnail of Condition Monitoring of a Dynamic System using Artificial Intelligence

International journal of engineering research and technology, Feb 25, 2021

Research paper thumbnail of Multi-criteria evaluation within concept planning phase of assembly system design

Procedia CIRP, 2021

Abstract This paper presents a new multi-criteria evaluation method in the field of assembly syst... more Abstract This paper presents a new multi-criteria evaluation method in the field of assembly system design using graph-based design languages. After introducing in the concept planning phase of assembly system design, this contribution illustrates current approaches and criteria to evaluate the results of the design process. Afterwards, mathematical principles of multi-criteria evaluation and optimization are portrayed. The newly developed evaluation method as core basis for decision making combines the advantages of two approaches: the manufacturing system value as well as the meta-objective function. The information-technical implementation of this new profitable evaluation method is executed using graph-based design languages. By means of a concrete use case – the assembly planning of a self-balancing two-wheeled scooter – both the procedure and extensive advantages of the new multi-criteria evaluation method are demonstrated.

Research paper thumbnail of Condition Monitoring of a Dynamic System using Artificial Intelligence

International journal of engineering research and technology, Feb 25, 2021

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