%2 types of products p1 and p2:
product(p1,10,0.1). 
%items of product p1 weighs 100gr and cost €10.
product(p2,80,25). 
%items of product p2 weighs 25kg and cost €80.

% 2 orders o1 and o2
order(o1,[p1/2],location(2,2),1). 
% order o1 consists of 2 items of p1 and must be % delivered before day 2 of the planning period.
order(o2,[p2/1],location(2,3),2). 
% order o1 consists of 1 item of p2 and must be 
% delivered before day 3 of the planning period.

% 2 depots d1 and d2:
depot(d1,[p1/7],location(4,3)). 
% depot d1 has 7 items of p1.
depot(d2,[p2/5,p1/1],location(1,1)). 
% depot d2 has 5 items of p2 and 1 of p1.

% 2 vehicles v1 and v2
vehicle(v1,d1,100,0.75,50,0.5). 
% vehicle v1, is at the beginning of the planning
% period located at depot d1. It has a capacity 
% of 100kg and moves at a pace of 0.75 min/km 
% (80 km/h). It costs €50 for each day of use,
% and €0.50 per km driven.
vehicle(v2,d2,200,1,50,0.5). 
% vehicle v2 differs from v1 in that it is 
% initially located at depot d2, has a capacity 
% of 200 kg and moves at 1.0 min/km (60 km/h).

% 2 working days, the first and third of the 
% planning period:
working_day(1,540,1020). 
% on day 1 vehicles can leave the depot as of
% 9am and must return to a depot by 5pm latest.
working_day(3,360,1080). 
% on day 3 vehicles can leave the depot as of 6am % and must return to a depot by 6pm latest.
% no transport can take place on day 2 
% (or 4,5,...).