PySCIPOpt  4.3.0
Python Interface for the SCIP Optimization Suite
eoq_en Namespace Reference

Functions

def eoq (I, F, h, d, w, W, a0, aK, K)
 

Variables

 a0
 
 aK
 
 d
 
int EPS = 1.e-6
 
 F
 
 h
 
 I
 
int K = 1000
 
def model = eoq(I,F,h,d,w,W,a0,aK,K)
 
 w
 
int W = 2000
 
 x
 

Function Documentation

◆ eoq()

def eoq_en.eoq (   I,
  F,
  h,
  d,
  w,
  W,
  a0,
  aK,
  K 
)
eoq --  multi-item capacitated economic ordering quantity model
Parameters:
    - I: set of items
    - F[i]: ordering cost for item i
    - h[i]: holding cost for item i
    - d[i]: demand for item i
    - w[i]: unit weight for item i
    - W: capacity (limit on order quantity)
    - a0: lower bound on the cycle time (x axis)
    - aK: upper bound on the cycle time (x axis)
    - K: number of linear pieces to use in the approximation
Returns a model, ready to be solved.

Definition at line 10 of file eoq_en.py.

References pyscipopt.expr.quicksum().

Variable Documentation

◆ a0

a0

Definition at line 66 of file eoq_en.py.

◆ aK

aK

Definition at line 66 of file eoq_en.py.

◆ d

d

Definition at line 59 of file eoq_en.py.

◆ EPS

int EPS = 1.e-6

Definition at line 71 of file eoq_en.py.

◆ F

F

Definition at line 59 of file eoq_en.py.

◆ h

h

Definition at line 59 of file eoq_en.py.

◆ I

I

Definition at line 59 of file eoq_en.py.

◆ K

int K = 1000

Definition at line 65 of file eoq_en.py.

◆ model

def model = eoq(I,F,h,d,w,W,a0,aK,K)

Definition at line 67 of file eoq_en.py.

◆ w

w

Definition at line 59 of file eoq_en.py.

◆ W

int W = 2000

Definition at line 64 of file eoq_en.py.

◆ x

x

Definition at line 70 of file eoq_en.py.