Arkadiology illustrated in Section $1\mathrm{.}9\mathrm{.}3,$ performance measures, manager in charge of is a Serbian manufacturer of diesel engines. The logistics manager in charge of designing the supply chain for product named WMF has identified four configurations $($denoted as i $=1,2,3,4$ in the following$).$ Based on the judgement of a panel of experts $($see Section $2\mathrm{.}2$ for more details$),$ the"

The text from the second image $(10.$png$)$ is as follows:

"Table $1\mathrm{.}27$ Profit $($in k$)$ for each configuration$-$demand scenario pair in the Arka problem.

Demand in the next five years

Configuration $($i$)$ low medium high

$1800400-400$

$2500250100$

$3400650100$

$4-2007001200$

demand in the next five years is expected to be high, medium, or low, with probabilities $0\mathrm{.}5,0\mathrm{.}3,$ and $0\mathrm{.}2,$ respectively. An in$-$depth analysis of the company's cost structure has allowed the manager to determine the profit of the four configurations for every demand scenario $($see Table $1\mathrm{.}27).$ Determine the optimal configurations with respect to the Bayes criterion. Also compute the expected value under perfect information."

It seems that these texts are taken from a case study or problem description involving decision$-$making under uncertainty for a company's logistics configurations. The Bayes criterion mentioned in the problem is a decision rule that takes into account the probability of each state of nature and chooses the decision that maximizes the expected payoff.