Smart semiconductor manufacturing for pricing, demand planning, capacity portfolio and cost for sustainable supply chain management

Leading nations have re-emphasised the importance of semiconductor manufacturing to supply chain safety and resilience. Limitations of the existing studies can be traced in part to the lack of a framework within which the interrelated decisions for corporate strategic planning can be coordinated whi...

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Bibliographic Details
Published in:International journal of logistics 2024-01, Vol.27 (1), p.193-216
Main Authors: Chien, Chen-Fu, Kuo, Hsuan-An, Lin, Yun-Siang
Format: Article
Language:English
Subjects:
Agile manufacturing
capacity planning
Collaboration
cost structure
Decisions
Demand
demand planning
Manufacturing
price strategy
Pricing
semiconductor manufacturing
Smart production
Strategic management
Supply chains
sustainable supply chain management
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Summary:Leading nations have re-emphasised the importance of semiconductor manufacturing to supply chain safety and resilience. Limitations of the existing studies can be traced in part to the lack of a framework within which the interrelated decisions for corporate strategic planning can be coordinated while integrating the associated actions. This research aims to review related studies involved in the decision elements of the proposed Pricing-Demand-Capacity-Capital Expenditure-Cost-Return (PDCCCR) framework and discuss the influence relationships among pricing, demand planning, capacity portfolio and cost structure for the overall financial return to derive the implications for smart manufacturing. Thus, a decision framework is proposed to integrate collaborative decisions for international interests and practical implications. As computational capability is increasing, the interrelated strategic decisions for pricing, demand planning, capacity portfolio and cost structure can be considered simultaneously via the proposed framework at the digital decision platform to coordinate flexible decisions for an agile and sustainable supply chain.
ISSN:1367-5567
1469-848X
DOI:10.1080/13675567.2022.2076818