Top Challenges for Manufacturing Enterprises through 2030: A Structured Review and Mitigation Operating Model( Vol-12,Issue-2,March - April 2026 ) |
|
Author(s): Dmitrii Voistrocheko |
Download Full Text PDF
Total View : 203
Downloads : 6
Page No: 072-079
|
Keywords: |
|
|
cybersecurity, governance, manufacturing challenges, resilience, skills disruption |
|
Abstract: |
|
|
Manufacturing enterprises through 2030 face compounded pressures: persistent supply chain volatility, continued cost pressure, rapid skills disruption, growing operational technology (OT) cybersecurity exposure, and intensifying sustainability and carbon-related compliance requirements. Although these challenges are widely documented, many organizations struggle to convert them into coherent, scalable transformation programs. This paper presents a structured narrative review and introduces a Mitigation Operating Model (MOM) that links external pressures to internal managerial failure modes and governance mechanisms. Evidence is synthesized from authoritative industry outlooks, global benchmark programs on industrial transformation, policy and standards bodies, and peer-reviewed research on resilience, digital transformation, and performance measurement behavior. The review identifies six recurring failure modes that inhibit scaling: unclear decision rights, weak KPI architecture and incentive alignment, low data integrity, fragmented transformation portfolios, insufficient capability building, and under-managed interfaces between operations and risk/compliance. The MOM consolidates actionable levers—data stewardship, cadence-based performance management, portfolio stage-gates, OT risk controls, and compliance-ready measurement—into a blueprint for prioritizing initiatives under constraints of capital and talent. The review concludes that the highest-leverage interventions institutionalize ownership and measurement integrity before scaling digital/AI |
|
| Article Info: | |
|
Received: 12 Feb 2026; Received in revised form: 15 Mar 2026; Accepted: 18 Mar 2026; Available online: 21 Mar 2026 |
|
Cite This Article: |
|
|
Citations:
APA | ACM | Chicago | Harvard | IEEE | MLA | Vancouver | Bibtex
| |
Share: |
|

DOI: 



























