$\backslash$table$[[$Activity$,\backslash$table$[[$Normal Time$],[($weeks$)]],\backslash$table$[[$Crash Time$],[($weeks$)]],\backslash$table$[[$Normal$],[$Cost$]],\backslash$table$[[$Total Cost$],[$with$],[$Crashing$]],\backslash$table$[[$Immediate$],[$Predecessor$($s$)]]],[$A$,4,3,$$$2,000,$$$2,600,-],[$B$,2,1,$$$2,100,$$$2,800,-],[$C$,3,3,$$$500,$$$500,-],[$D$,8,4,$$$2,500,$$$2,780,$A$],[$E$,6,3,$$$1,000,$$$1,375,$B$],[$F$,3,2,$$$3,400,$$$4,900,$C$],[$G$,4,2,$$$1,500,$$$2,000,$D$,$ E$]]$

a$)$ Based on the given information regarding the activities for the project, the project length $=16$ weeks

b$)$ The total cost required for completing this project on normal time $=$ :

c$)$ For reducing the duration of the project by one week, the activity that should be crashed first is activity D $.$

The cost of the project based on the first activity selected for crashing will increase by $$70.$

d$)$ The maximum weeks by which the project can be reduced by crashing $=$ weeks.

Total cost of crashing the project to minimum $($or maximum weeks possible$)=$$