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METHOD FOR SIMULATION-BASED OPTIMIZATION OF SEQUENCE OF IMPROVEMENTS TO MANUFACTURING PROCESS

IP.com Disclosure Number: IPCOM000236784D
Publication Date: 2014-May-15
Document File: 4 page(s) / 61K

Publishing Venue

The IP.com Prior Art Database

Abstract

The invention proposes a process that is used to determine the best order in which improvements are implemented in a manufacturing process. "Best order" refers to the order in which the process achieves maximum output over the course of improvements. The invention involves a simulation model of the manufacturing process which is required to be improved. Manufacturing process is greatly improved by a cloud computing infrastructure that runs the simulation in parallel with different input parameters, vastly improving speed of the process.

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METHOD FOR SIMULATION-BASED OPTIMIZATION OF SEQUENCE OF IMPROVEMENTS TO MANUFACTURING PROCESS

BRIEF ABSTRACT

The invention proposes a process that is used to determine the best order in which improvements are implemented in a manufacturing process. "Best order" refers to the order in which the process achieves maximum output over the course of improvements. The invention involves a simulation model of the manufacturing process which is required to be improved. Manufacturing process is greatly improved by a cloud computing infrastructure that runs the simulation in parallel with different input parameters, vastly improving speed of the process.

KEYWORDS

Simulation, model, sequence of improvements, manufacturing process

DETAILED DESCRIPTION

Usually, plant operators in complex manufacturing facilities face with process improvements. Although final state of the plant with all the improvements is important and remains same no matter which order improvements are implemented, the improvements themselves take a long period of time. During this time, the plant is required to operate and produce as much output as possible. Complex interactions in modern lean manufacturing facilities are very difficult to represent with traditional linear and arithmetic models, hence simulation is necessary. However, large numbers of possible sequences of improvements are prohibitive.

A conventional technique includes analytical model-based approach for quality evaluation of infrastructure-as-a-service cloud by considering expected request completion time, rejection probability, and system overhead rate as key quality metrics. It also features with the modeling of different warm-up and cool-down strategies of machines and an ability to identify optimal balance between system overhead and performance. In order to validate correctness of the model, simulative quality-of-service (QoS) data is obtained and confidence interval analysis is conducted.

However, the above mentioned technique provides inaccurate calculation.

 

Therefore, there is a need in the art for an efficient technique to provide process improvements in a manufacturing process.

The invention proposes a process that is used to determine the best order in which improvements are implemented in a manufacturing process. "Best order" refers to the order in which the process achieves maximum output over the course of improvements.

The invention involves a simulation model of the manufacturing process which is required to be improved. Manufacturing process is greatly improved by a cloud computing infrastructure that runs the simulation in parallel with different input parameters, vastly improving speed of the process. The process starts with a list of improvements to a manufacturing plant or other complex process. A simulation is built to model the plant. The simulation is capable of simulating the plant with and without e...