The Design and Development of a Reconfigurable Manufacturing System

Oke, AO; Abou-El-Hossein, Khaled; Theron, N.J.

doi:10.7166/22-2-20

Cited by 8 publications

(6 citation statements)

References 25 publications

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“…By doing this, simulation techniques have revolutionized cost variance analysis. This gives different organizations the opportunity to gain even more perfect insights into cost variances [23]. The future trends in predictability simulation techniques include but not limited to:…”

Section: Progress and Evolution Of Simulation-based Optimization In M...mentioning

confidence: 99%

“…However, managers and employees may be resistant to changes in processes or procedures, especially if they have been doing things the same way for a long time. This can cause defiance or even sabotage of the optimization process [23]…”

Section: Resistance To Changementioning

confidence: 99%

“…Optimization efforts often require data analysis to identify areas for improvement. If the organization does not have access to the necessary data or if the data is unreliable or incomplete, it can be difficult to accurately identify and address problem [23].…”

Section: Lack Of Datamentioning

confidence: 99%

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Process Optimization in Manufacturing Industries Using Simulation Technologies

Okuyelu,

Doskenov,

Aribike

2024

CJAST

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The industrial application and importance of simulation technologies for process optimization in manufacturing industries cannot be underestimated. Adequate monitoring of raw materials processing to finished products and their conveyance to the end users is required together with profits and cost optimization to ensure the company attained the set goals. Thus, it is imperative to adopt the use of simulation-based optimization tools. This paper succinctly discussed the importance of simulation-based optimization technologies as effective techniques in manufacturing industries. The concept of process optimization, simulation and simulation techniques as related to manufacturing were discussed. Various techniques of simulation-based optimization in manufacturing were presented. These include Monte Carlo simulation, discrete event simulation and system dynamics. Also, typical examples of manufacturing optimization techniques were stated. These include Just-in-Time, statistical process control, total quality management, six sigma, value stream mapping and computer numerical control. Various applicable areas of simulation-based optimization technologies in manufacturing were also addressed. However, resistance to change, lack of expertise, lack of data, unintended consequences, over-reliance on technology and insufficient testing are the associated problems to simulation-based optimization in manufacturing. In conclusion, relevant simulation-based optimization technologies should be adopted by various manufacturing companies to ensure profit maximization while still keeping the chain between production of good and supply to customers intact.

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Section: Progress and Evolution Of Simulation-based Optimization In M...mentioning

confidence: 99%

Section: Resistance To Changementioning

confidence: 99%

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Process Optimization in Manufacturing Industries Using Simulation Technologies

Okuyelu,

Doskenov,

Aribike

2024

CJAST

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“…The designed system capability can then be easily reconfigured for each change within the part family. Oke et al (2011) distinguish the design of RMS as the problem of RMT selection at the process level, and machine layout design at a system level.…”

Section: Problem Descriptionmentioning

confidence: 99%

Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment

Ameer

Dahane

2021

J Intell Manuf

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Reconfigurable manufacturing systems (RMS) are designed for adjustable production capabilities to cope with the fluctuating market demand. This adjustable capability and customised flexibility are offered by the modular Reconfigurable Machine Tools (RMTs), considered as the key component of an RMS. The main objective of this work is to develop a new approach to jointly consider the setup and process plan constraints. Indeed, based on the relationships between the operations to perform, a integrated setup and process plan is generated, minimising the total cost, including cost of processing, tolerance, setup change and tool module. The proposed new hybrid genetic algorithm-based approach is conducted in two stages. In the first stage, a heuristic is developed for the generation of setups and the assignments of fixtures to each set of operations. While in the second stage, a genetic algorithm is proposed to determine the best process plan to associate with the generated setup plan, under the economic cost consideration. A numerical experiment is performed to show the applicability and the efficiency of the developed approach. A test results highlight the economic gain of the simultaneous consideration of setup and process planning.

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“…Due to the lack of appropriate technological support, network organizations cannot effectively implement collaborative and reconfigurable processes when their stakeholders work at some distance from each other. An emerging strategy that might enable industries to cope with rapidly changing product specifications is the implementation of reconfigurable processes 23 .…”

Section: Introductionmentioning

confidence: 99%

Iot-Enabled Knowledge Sharing-Based Collaborative Software Maintenance Design Approach

Chen

Fangtsou

2015

ijecs

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Modifying corrective programming code according to requirements modifications so that the modifications work with existing code is a challenge for software maintenance design, because it is difficult to understand the meaning of existing code. This refers to both software specifications and business implications associated with modifying a software system. The lack of a knowledge-based collaborative environment is one of the prominent problems in software maintenance design. This paper presents the IoT-enabled knowledge sharing architecture using combination and internalization for collaborative software maintenance design to derive a collaborative software design procedure from the problem-solving systematic methods TRIZ, AHP and Maturity Index on Reliability (MIR). Next, we illustrate three elements of the proposed approach in more detail: combination using MIR, collaborative tagging decision-making using AHP, and internalization of problem-solving using TRIZ. Finally, a case study and evaluation are presented to demonstrate a practical application of the proposed approach.

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The Design and Development of a Reconfigurable Manufacturing System

Cited by 8 publications

References 25 publications

Process Optimization in Manufacturing Industries Using Simulation Technologies

Process Optimization in Manufacturing Industries Using Simulation Technologies

Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment

Iot-Enabled Knowledge Sharing-Based Collaborative Software Maintenance Design Approach

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