In the contemporary industrial landscape, mass customization emerges as a beacon for manufacturers seeking to broaden their product offerings, blending bespoke craftsmanship with off-the-shelf efficiency. This scholarly inquiry focuses on the domain of mass customization within the welding and fabrication sectors, shedding light on its multifaceted implications for supply chains, labour dynamics, and environmental sustainability. Our research delves into the intricacies of mass customization strategies within capital goods fabrication, drawing insights from welding, fabrication, and allied industries. Employing a multidisciplinary approach that melds data analytics and business acumen, we delve into the pivotal role of skills and job parameters, which wield significant influence over standard man-hours (SMH) and the feasibility of mass customization endeavours. Beyond theoretical discourse, our study offers practical insights into multi-criteria decision-making techniques, furnishing tangible evidence of our proficiency in delineating job roles and skill requisites for achieving mass customization excellence. This scholarly endeavour contributes substantially to industrial innovation, data-informed decision-making, and manufacturing efficiency, enriching the discourse on mass customization within capital goods fabrication. By unravelling the intricate interplay of skill parameters, job specifications, and SMH, our findings and recommendations serve to benefit both industry practitioners and academic scholars, thereby advancing the realm of mass customization. Furthermore, our research illuminates mass customization as a strategic management tool, harmonizing productivity amplification with heightened customer satisfaction. Through a comprehensive examination of fundamental principles and methodological approaches, we unveil untapped opportunities and future trajectories, fostering ongoing dialogue and exploration across diverse industrial domain’s efficiency.

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Advancing Mass Customization in Capital Goods Manufacturing Through Standard Man Hours (SMH) Modelling and ESG Considerations

  • Yagnesh Purohit,
  • Shilpa Parkhi

摘要

In the contemporary industrial landscape, mass customization emerges as a beacon for manufacturers seeking to broaden their product offerings, blending bespoke craftsmanship with off-the-shelf efficiency. This scholarly inquiry focuses on the domain of mass customization within the welding and fabrication sectors, shedding light on its multifaceted implications for supply chains, labour dynamics, and environmental sustainability. Our research delves into the intricacies of mass customization strategies within capital goods fabrication, drawing insights from welding, fabrication, and allied industries. Employing a multidisciplinary approach that melds data analytics and business acumen, we delve into the pivotal role of skills and job parameters, which wield significant influence over standard man-hours (SMH) and the feasibility of mass customization endeavours. Beyond theoretical discourse, our study offers practical insights into multi-criteria decision-making techniques, furnishing tangible evidence of our proficiency in delineating job roles and skill requisites for achieving mass customization excellence. This scholarly endeavour contributes substantially to industrial innovation, data-informed decision-making, and manufacturing efficiency, enriching the discourse on mass customization within capital goods fabrication. By unravelling the intricate interplay of skill parameters, job specifications, and SMH, our findings and recommendations serve to benefit both industry practitioners and academic scholars, thereby advancing the realm of mass customization. Furthermore, our research illuminates mass customization as a strategic management tool, harmonizing productivity amplification with heightened customer satisfaction. Through a comprehensive examination of fundamental principles and methodological approaches, we unveil untapped opportunities and future trajectories, fostering ongoing dialogue and exploration across diverse industrial domain’s efficiency.