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Decision-Making Process Development for Industry 4.0 Transformation

Sajjad Ahmad, Ahmad Wasim, Hussain Sulman

Advances in Science and Technology. Research Journal

2022

Vol. 16, no 3

1--11

Development of design characteristics based dynamic decision support framework is presented in the current study, to facilitate the decision makers in the transformation of system in the industry 4.0 paradigm. The model development is designed for a robust decision-making approach to integrating human and machine knowledge to adopt smart technologies and system design. The system is based on prioritization of the industry 4.0 design principles and characteristics including flexibility, self-adaptability, self-reconfigurability, context awareness, decision autonomy, and real-time capabilities. It has been revealed from an industrial field study, the companies facing difficulty to transform the system, and systematics approach needed to overcome the challenge. A decision support process has been developed as an integrated approach to embedding human knowledge. The developed process has been validated using Technique for Order of Preference by Similarity to Ideal Solution, the results depict the operational flexibility, has been most crucial transformation characteristics prioritized using the Analytical Hierarchical Process. The developed process has the capability to help the system development and estimate the factors involved in the transformation.

Effects of forming tools and process parameters on surface roughness in incremental sheet forming

Khalil Umair, Aziz Muhammad Haris, Jahanzaib Mirza, Ahmad Wasim, Hussain Salman, Hafeez Faisal

Advances in Science and Technology. Research Journal

2018

Vol. 12, no 3

75--95

Literature has vastly advocated for incremental sheet forming as a significant process for formation of sheet metal components, because of its higher formability in comparison with the rest of metal forming processes such as deep drawing and stamping. Due to high formability of incremental sheet forming it becomes important to investigate the main factors, influencing the quality of forming products. However, less attention has been given to investigate the inconsistencies reflected often in determining the effect of multiple forming parameters and parametric interactions comprising of spindle rotational speed and feed rate, tool size and sheet thickness, sheet thickness and step depth. This study investigates the effect of various principal factors including tool type, tool size, sheet thickness, spindle speed, feed rate, step increment including and their respective interaction on surface roughness. Research data was collected by undertaking extensive literature review of previous studies on incremental sheet forming regarding surface quality. A quantitative one way analysis of variance (ANOVA) was employed to analyze the significance and contribution of factors influencing surface quality of sheet forming. The findings highlight the contribution of forming parameters and their combined interactions on surface roughness. Based on the empirical findings, this study derives implications for the optimization of tool type, parametric interactions among principal factors and their respective optimized operational range for incremental sheet forming.