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A small manufacturing company is currently designing a new production system, organized in job shops. It is installing 3 different departments (M1, M2, M3), which will serve to produce at least 3 types of product (A, B, C). We have the following information:

ProductProduction process (Department, Cycle Time [min / pcs])Average annual demand (pieces)
A(M1, 15) – (M2, 10)15000
B(M1, 9) – (M3, 8)25000
C(M2, 17) – (M3, 7)35000

The production system will work 3 shifts of 7 hours per day, 240 days/year. Departments have different coefficient. M1 considers a human coefficient (HC) of 0.96 and an Availability (A) of 0.96.  M2 considers a human coefficient (HC) of 0.95 and an Availability (A) of 0.93. M3 considers a human coefficient (HC) of 0.91 and an Availability (A) of 0.93. The scheduling efficiency (SE) must be set equal to 0.82. M1 scrap rates (SR) is equal to 0.07, M2 scrap rates is equal to 0.05, while M3 scrap rates is equal to 0.09. In M1 department, setup lasts 2.8 hours for each change of production; in M2 setup lasts 2.3 hours for each change of production; in M3 setup lasts 1.9 hours for each change of production. It is expected to produce average batches of about 1000 pieces (regardless of the type of product). The objective is to determine the number of machines and the rate of saturation for each department.

Solution:

Product IDM1 (min/pcs)M2 (min/pcs)M3 (min/pcs)pieces/year
A1510015000
B90825000
C017735000
Setup (h)2,82,31,9 
Setup (min)168138114 
Average batch (pieces)100010001000 
pieces400005000060000 
Number of setup405060 
     
Setup (min)672069006840 
Scrap Rate0,070,050,09 
Production (min)483870,9677784210,5263489010,989 
A0,960,950,91 
HC0,960,930,93 
NH (min)532325,27895427,87585904,51 
     
 240days  
 3shift  
 7hours  
WH (h)5040   
WH (min)302400   
SE0,82   
AH (min)247968,00247968,00247968,00 
NM2,1467498583,6110622082,362823076 
NM343 
S0,7155832860,9027655520,787607692 

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