Supply chain performance measurement for manufacturing industry: A study during pandemic (Covid-19)
This paper illustrates this pandemic as absolute catastrophic, which has distracted the overall supply chain activities, with significant shortcomings for businesses, consumers, and the overall global economy. Though in a regular time, it has been extremely challenging to ensure seamless supply chai...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | This paper illustrates this pandemic as absolute catastrophic, which has distracted the overall supply chain activities, with significant shortcomings for businesses, consumers, and the overall global economy. Though in a regular time, it has been extremely challenging to ensure seamless supply chain operations, and senior management had to struggle to respond to critical uncertainties to protect their employees, safeguard supply security, alleviate the financial collision, tackle reputational risks, and steer the market uncertainty. During this worldwide disruption, due to the pandemic, the world economy uncovers itself in an unbearable state - predominantly unpredictable consumer demand, uncertainty in supply, inflation of raw material, excessive shipping charges, unavailability of workforces, job losses, net profit plunges due to increasing Cost of Goods Sold (COGS), a pileup of inventory, slumping of exports, declining remittances, and so on. This paper demonstrates the current global disruption demands to revalidate the Supply Chain Performance Measurement (SCPM) of an organization, audit the existing models and tools to measure its performance with an utmost priority, and focus on resilience, risk management has now become inevitable. Finally, the researcher classified ten supply chain performance measurement attributes to address the overall operational efficiency and measure its performance and unlocks an Integrated Supply Chain Performance Measurement (ISCPM) model which supersedes all the current limitations of the Balanced Scorecard (BSC) model and the SCOR model to measure performance measurement in the current context. |
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ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0118758 |