In the current state of the Covid-19 pandemic, many industrial sectors are experiencing difficulties due to facing various kinds of problems, one of which is the newspaper industry. These problems are a risk that must be controlled by the company in order to minimize losses. The purpose of this study is to carry out supply chain risk management during the Covid-19 pandemic in newspaper companies. The method used is a quantitative approach using SCOR and SCRIS to calculate the expected cost of risk based on the magnitude of the impact and probability of a risk event. The results show that there are 5 risks with the biggest costs, namely machine damage, personnel absenteeism due to health problems, delays in gathering news content, natural disasters during delivery, and decreased paper quality when it arrives at the end customer. Of the 5 risks with the largest total cost, a possible mitigation strategy is proposed to overcome these risks.
Supply Chain Risk Management During the Covid-19 Pandemic Using a Quantitative Approach (Case Study: PT Aksara Solopos Newspaper)
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