Selecting the Optimal LoA to Prevent the Expansion of COVID-19 in the Chemical Industry considering Sustainability Factors: A Fuzzy Mathematical Optimization Approach

Figure 13

Changes in production parameters after implementing different scenarios s0(Before change), s1(Expert), s2(Low-cost), s3(Costly but profitable) (a) Changes in production time after implementing different scenarios (s0, s1, s2, s3) in the manufacturing, filling, and packaging workstations (b) Changes in production waste after implementing different scenarios (s0, s1, s2, s3) in the manufacturing, filling, packaging, and QC workstations. (c). Changes in profit after implementing different scenarios (s0, s1, s2, s3). (d). Changes in production quantity after implementing different scenarios (s0, s1, s2, s3) in the manufacturing, filling, and packaging workstations.

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