enterprise systems collaboration logistics game

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Enterprise Systems Enterprise Systems Collaboration Collaboration Logistics Game Logistics Game Valeria Balseca Valeria Balseca Sales & Marketing Manager Claudia Prada Claudia Prada MM Manager Jhonattan Polo Jhonattan Polo CEO

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Enterprise Systems Collaboration Logistics Game. Valeria Balseca Sales & Marketing Manager Claudia Prada MM Manager Jhonattan Polo CEO. 1. Cumulative profit and revenues. 2. Sold Quantities & Revenue - TOTAL. 2. Sold Quantities by Product. Highest: Milk Lowest: Cream. - PowerPoint PPT Presentation

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Page 1: Enterprise Systems Collaboration Logistics Game

Enterprise Systems CollaborationEnterprise Systems Collaboration

Logistics GameLogistics Game

Valeria BalsecaValeria BalsecaSales & Marketing Manager

Claudia PradaClaudia PradaMM Manager

Jhonattan PoloJhonattan PoloCEO

Page 2: Enterprise Systems Collaboration Logistics Game

1. Cumulative profit and revenues1. Cumulative profit and revenues

Page 3: Enterprise Systems Collaboration Logistics Game

2. Sold Quantities & Revenue - TOTAL2. Sold Quantities & Revenue - TOTAL

TOTALPP 31535QQ 26000RR 31728

TOTALPP 1,409,629.47$ QQ 1,491,937.32$ RR 1,527,484.72$

Page 4: Enterprise Systems Collaboration Logistics Game

2. Sold Quantities by Product2. Sold Quantities by Product

Total TotalRR-T01 Milk 22151 RR-T04 Cheese 10378RR-T02 Cream 9552 RR-T05 Butter 12369RR-T03 Yoghurt 20640 RR-T06 Ice Cream 14173

Product Product

Highest: MilkLowest: Cream

Page 5: Enterprise Systems Collaboration Logistics Game

2. Revenue by Product2. Revenue by Product

Total TotalRR-T01 Milk $656,195.85 RR-T04 Cheese $901,121.49RR-T02 Cream $730,146.41 RR-T05 Butter $812,221.79RR-T03 Yoghurt $634,177.28 RR-T06 Ice Cream $695,188.69

Product Product

Highest: CheeseLowest: Yoghurt

Page 6: Enterprise Systems Collaboration Logistics Game

3. Revenue for each product and area 3. Revenue for each product and area in each company in each company

Page 7: Enterprise Systems Collaboration Logistics Game

4. Profit for each product and area 4. Profit for each product and area in each company in each company

Page 8: Enterprise Systems Collaboration Logistics Game

5. Revenue for each area and company.5. Revenue for each area and company.6. Profit for each area and company6. Profit for each area and company

Company RR dominates profits

in NO and WE areas

NO was the most profitable area for

all companies

Company RR dominates

revenues in NO and WE areas

NO was the most profitable area for all companies

Page 9: Enterprise Systems Collaboration Logistics Game

7. Price Changes7. Price Changes

€20

€25

€30

€35

€40

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Milk

PP QQ RR

€70

€75

€80

€85

€90

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Cream

PP QQ RR

Page 10: Enterprise Systems Collaboration Logistics Game

7. Price Changes7. Price Changes

€80

€85

€90

€95

€100

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Cheese

PP QQ RR

€20

€25

€30

€35

€40

€45

€50

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Yoghurt

PP QQ RR

Page 11: Enterprise Systems Collaboration Logistics Game

7. Price Changes7. Price Changes

€55

€60

€65

€70

€75

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Butter

PP QQ RR

€40€42€44€46€48€50€52€54

1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9 2 5 8 1 4 7 10 3 6 9

1 2 3 4 5 6 7 8

Ice Cream

PP QQ RR

Page 12: Enterprise Systems Collaboration Logistics Game

7. Price Changes – Standard Deviation7. Price Changes – Standard Deviation

• Company PP had high price variation for Cream, Yoghurt, Cheese and Butter.

• Company QQ was not the most variable in any product.• Company RR had high price variation for Milk and Ice Cream

€ -

€ 0.50

€ 1.00

€ 1.50

€ 2.00

€ 2.50

€ 3.00

€ 3.50

Milk Cream Yoghurt Cheese Butter Ice Cream

Price Standard Deviation

PP

QQ

RR

Page 13: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

500

1000

1500

2000

2500

1 2 3 4 5 6 7 8

Milk

PP QQ RR

Prices PP QQ RR Total1 31,533.30€ 22,445.10€ 50,627.70€ 104,606.10€ 2 41,011.65€ 11,796.30€ 30,362.85€ 83,170.80€ 3 -€ 5,163.75€ 22,123.80€ 27,287.55€ 4 23,776.20€ 20,104.20€ 26,667.90€ 70,548.30€ 5 27,654.75€ 16,501.05€ 31,189.05€ 75,344.85€ 6 27,195.75€ 7,825.95€ 23,684.40€ 58,706.10€ 7 29,926.80€ 13,517.55€ 20,471.40€ 63,915.75€ 8 9,019.35€ 19,117.35€ 9,799.65€ 37,936.35€

Total 190,117.80€ 116,471.25€ 214,926.75€

Page 14: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

200

400

600

800

1000

1 2 3 4 5 6 7 8

Cream

PP QQ RR

Prices PP QQ RR Total1 54,484.92€ 63,637.81€ 50,304.86€ 168,427.59€ 2 50,304.86€ 28,035.23€ 27,458.67€ 105,798.76€ 3 -€ 19,963.39€ -€ 19,963.39€ 4 1,513.47€ 42,377.16€ 41,872.67€ 85,763.30€ 5 25,368.64€ 42,737.51€ 49,440.02€ 117,546.17€ 6 11,242.92€ 34,449.46€ 18,449.92€ 64,142.30€ 7 21,476.86€ 48,647.25€ 52,178.68€ 122,302.79€ 8 13,693.30€ 34,953.95€ 22,053.42€ 70,700.67€

Total 178,084.97€ 314,801.76€ 261,758.24€

Page 15: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

500

1000

1500

2000

2500

1 2 3 4 5 6 7 8

Yoghurt

PP QQ RR

Prices PP QQ RR Total1 35,802.25€ 22,360.25€ 57,154.35€ 115,316.85€ 2 38,904.25€ 6,927.80€ 33,760.10€ 79,592.15€ 3 -€ 646.25€ -€ 646.25€ 4 19,129.00€ 14,243.35€ 23,652.75€ 57,025.10€ 5 34,277.10€ 15,665.10€ 24,324.85€ 74,267.05€ 6 46,685.10€ 13,157.65€ 15,173.95€ 75,016.70€ 7 38,852.55€ 18,818.80€ 22,954.80€ 80,626.15€ 8 30,580.55€ 16,621.55€ 18,482.75€ 65,684.85€

Total 244,230.80€ 108,440.75€ 195,503.55€

Page 16: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

200

400

600

800

1000

1 2 3 4 5 6 7 8

Cheese

PP QQ RR

Prices PP QQ RR Total1 67,797.60€ 64,242.36€ 59,612.28€ 191,652.24€ 2 73,419.84€ 18,520.32€ 65,151.84€ 157,092.00€ 3 -€ 19,512.48€ -€ 19,512.48€ 4 -€ 63,911.64€ 34,229.52€ 98,141.16€ 5 -€ 56,801.16€ 27,449.76€ 84,250.92€ 6 42,166.80€ 51,013.56€ 48,285.12€ 141,465.48€ 7 17,114.76€ 63,746.28€ 69,947.28€ 150,808.32€ 8 13,063.44€ 26,622.96€ -€ 39,686.40€

Total 213,562.44€ 364,370.76€ 304,675.80€

Page 17: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

200

400

600

800

1000

1200

1 2 3 4 5 6 7 8

Butter

PP QQ RR

Prices PP QQ RR Total1 45,269.28€ 52,993.80€ 53,832.12€ 152,095.20€ 2 59,880.00€ 27,784.32€ 33,712.44€ 121,376.76€ 3 -€ 15,389.16€ 20,958.00€ 36,347.16€ 4 -€ 38,263.32€ 48,143.52€ 86,406.84€ 5 23,293.32€ 42,634.56€ 21,676.56€ 87,604.44€ 6 17,484.96€ 26,227.44€ 40,299.24€ 84,011.64€ 7 22,993.92€ 49,341.12€ 43,233.36€ 115,568.40€ 8 15,568.80€ 37,365.12€ 13,772.40€ 66,706.32€

Total 184,490.28€ 289,998.84€ 275,627.64€

Page 18: Enterprise Systems Collaboration Logistics Game

8. Procurement8. Procurement

0

200

400

600

800

1000

1200

1400

1 2 3 4 5 6 7 8

Ice Cream

PP QQ RR

Prices PP QQ RR Total1 43,150.00€ 31,197.45€ 34,778.90€ 109,126.35€ 2 45,868.45€ 20,539.40€ 32,060.45€ 98,468.30€ 3 -€ 12,384.05€ -€ 12,384.05€ 4 31,758.40€ 24,768.10€ 13,117.60€ 69,644.10€ 5 48,543.75€ 29,644.05€ 30,765.95€ 108,953.75€ 6 54,023.80€ 19,288.05€ 20,021.60€ 93,333.45€ 7 40,302.10€ 28,608.45€ 14,627.85€ 83,538.40€ 8 13,247.05€ 16,267.55€ 30,334.45€ 59,849.05€

Total 276,893.55€ 182,697.10€ 175,706.80€

Page 19: Enterprise Systems Collaboration Logistics Game

9. Purchase Orders9. Purchase Orders

1 2 3 4 5 6 7 8PP 4 7 4 5 4 3 3QQ 2 2 1 3 3 2 3 2RR 4 2 2 3 3 2 4 3

012345678

Number of Purchase Orders

•Overall, company PP had higher number of P.O., followed by company RR.•Company QQ had less number of P.O. placed

Page 20: Enterprise Systems Collaboration Logistics Game

10. Purchase Orders Total Costs10. Purchase Orders Total Costs

• Company PP placed more P.O. followed by company RR• The quantities are about €400,000.00

€0€200,000€400,000€600,000€800,000

€1,000,000€1,200,000€1,400,000

1 5 9 3 7 1 5 9 3 7 1 5 9 3 7 1 5 9 3 7

1 2 3 4 5 6 7 8

Company PP

€0€200,000€400,000€600,000€800,000

€1,000,000€1,200,000€1,400,000

1 5 9 3 7 1 5 9 3 7 1 5 9 3 7 1 5 9 3 7

1 2 3 4 5 6 7 8

Company QQ

€0€200,000€400,000€600,000€800,000

€1,000,000€1,200,000€1,400,000

1 5 9 3 7 1 5 9 3 7 1 5 9 3 7 1 5 9 3 7

1 2 3 4 5 6 7 8

Company RR

Page 21: Enterprise Systems Collaboration Logistics Game

11. & 12. Total numbers and Total $ of Purchase 11. & 12. Total numbers and Total $ of Purchase OrdersOrders

€10,773,578.82 €6,275,131.32 €7,288,684.08€0

€2,000,000

€4,000,000

€6,000,000

€8,000,000

€10,000,000

€12,000,000

PP QQ RR

Total Cost of Purchase Orders

30 18 230

5

10

15

20

25

30

35

PP QQ RR

Number of P.O.

Page 22: Enterprise Systems Collaboration Logistics Game

13. Average Cost of P.O.13. Average Cost of P.O.

€61,917.12 €58,103.07 €52,816.55€48,000

€50,000

€52,000

€54,000

€56,000

€58,000

€60,000

€62,000

€64,000

PP QQ RR

Average Total Cost of P.O.

Page 23: Enterprise Systems Collaboration Logistics Game

14. Inventory Changes14. Inventory Changes

• Main Warehouse

• Company QQ had good inventory management in regards to level and replenishment frequency.

– Did not affect the number of days without of stock

Company PP Company QQ Company RR

Page 24: Enterprise Systems Collaboration Logistics Game

14. Inventory Changes14. Inventory Changes

• North

• All the companies had lower inventory levels of milk and Ice cream than the rest of products

Company PP Company QQ Company RR

Page 25: Enterprise Systems Collaboration Logistics Game

14. Inventory Changes14. Inventory Changes

• South

• Companies PP and QQ maintained lower inventory levels than company RR in all products.

Company PP Company QQ Company RR

Page 26: Enterprise Systems Collaboration Logistics Game

14. Inventory Changes14. Inventory Changes

• West

Company PP Company QQ Company RR

Page 27: Enterprise Systems Collaboration Logistics Game

15. Days Out of Stock15. Days Out of Stock

• Main Warehouse

• Company RR had the highest number of days without stock for all products, followed by company QQ.

– Company PP placed P.O. more frequently than the others.

Milk Cream Yoghurt Cheese Butter Ice CreamPP 12 11 9 31 6 7QQ 26 13 11 10 13 9RR 46 60 31 43 44 36

0

10

20

30

40

50

60

70

Page 28: Enterprise Systems Collaboration Logistics Game

15. Days Out of Stock15. Days Out of Stock

• North

Milk Cream Yoghurt Cheese Butter Ice CreamPP 29 12 11 8 22 17QQ 27 1 5 8 7 11RR 22 26 8 11 30 28

0

5

10

15

20

25

30

35

Page 29: Enterprise Systems Collaboration Logistics Game

15. Days Out of Stock15. Days Out of Stock

• South

Milk Cream Yoghurt Cheese Butter Ice CreamPP 2 32 26 15 25 6QQ 1 7 26 4 27 1RR 5 17 27 42 34 18

05

1015202530354045

Page 30: Enterprise Systems Collaboration Logistics Game

15. Days Out of Stock15. Days Out of Stock

• West

Milk Cream Yoghurt Cheese Butter Ice CreamPP 16 14 12 40 11 5QQ 3 2 1 23 3 11RR 13 4 40 41 58 59

0

10

20

30

40

50

60

70

Page 31: Enterprise Systems Collaboration Logistics Game

16. Warehouse Cost16. Warehouse Cost

End of Q8PP 5,350$ QQ -$ RR 4,650$

Count Max AvgPP 8 2289 1083.875QQ 0 0 0RR 15 1461 463.5294

$-

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10

1 2 3 4 5 6 7 8

QQ PP RR

Page 32: Enterprise Systems Collaboration Logistics Game

17. Shipping Costs17. Shipping Costs

• This cost includes the transportation to the main warehouse and to each distribution center in the regions.

Page 33: Enterprise Systems Collaboration Logistics Game

18. Interest Expense18. Interest Expense

Page 34: Enterprise Systems Collaboration Logistics Game

19. & 20. Cash Flow and Days w/out Cash19. & 20. Cash Flow and Days w/out Cash

Page 35: Enterprise Systems Collaboration Logistics Game

21. Correlation21. CorrelationPrice and ProfitPrice and Profit

Page 36: Enterprise Systems Collaboration Logistics Game

21. Correlation21. CorrelationPrice and RevenuePrice and Revenue

Page 37: Enterprise Systems Collaboration Logistics Game

21. Correlation: Inventory vs. Revenue21. Correlation: Inventory vs. Revenue

-€2,000

€0

€2,000

€4,000

€6,000

€8,000

€10,000

0 500 1000 1500 2000

Milk

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€2,000

€4,000

€6,000

€8,000

€10,000

€12,000

0 200 400 600 800 1000

Cream

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€2,000

€4,000

€6,000

€8,000

€10,000

€12,000

0 500 1000 1500 2000 2500

Yoghurt

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€2,000

€4,000

€6,000

€8,000

€10,000

€12,000

0 200 400 600 800 1000

Cheese

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€2,000

€4,000

€6,000

€8,000

€10,000

€12,000

€14,000

0 200 400 600 800 1000 1200

Butter

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€2,000

€4,000

€6,000

€8,000

€10,000

0 200 400 600 800 1000 1200

Ice Cream

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

Page 38: Enterprise Systems Collaboration Logistics Game

21. Correlation: Inventory vs. Profit21. Correlation: Inventory vs. Profit

€0

€500

€1,000

€1,500

€2,000

€2,500

0 500 1000 1500 2000

Milk

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0€100€200

€300€400€500

€600€700€800

0 200 400 600 800 1000

Cream

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

-€500

€0

€500

€1,000

€1,500

€2,000

0 500 1000 1500 2000 2500

Yoghurt

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0€100€200€300€400€500€600€700€800€900

0 200 400 600 800 1000

Cheese

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€200

€400

€600

€800

€1,000

0 200 400 600 800 1000 1200

Butter

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

€0

€200

€400

€600

€800

€1,000

€1,200

0 200 400 600 800 1000 1200

Ice Cream

PP QQ RR Linear (PP) Linear (QQ) Linear (RR)

Page 39: Enterprise Systems Collaboration Logistics Game

21. Correlation21. Correlation

Page 40: Enterprise Systems Collaboration Logistics Game

22. Credit Rate22. Credit Rate

• For the size of the company, the highest credit rate given is A.

• During this simulation, no company was downgraded in credit rate

• Company PP had negative cash balance and they paid interest for the bank loan

Page 41: Enterprise Systems Collaboration Logistics Game

2323. . StrategiesStrategies

Company PP Company QQ Company RR

PricePrice Avg. market except cheese. Under cost.

High variability.

Avg Market. Except milk and yoghurt.

High variability

Avg Market. High variability

MarginMargin Low Margin6.4%

High Margin9.5%

Average Margin8.7%

RevenuesRevenues Average Sales High Sales High Sales

InventoryInventory High inventory levelsFast replenishment: did not run out of products

Low inventory levels without running out of

products

High inventory levelsSlow replenishment: ran

out of products

ProcurementProcurement 30 P.O. Placed €61,917.12 on average

18 P.O. Placed €58,103.07 on average

23 P.O. Placed €52,816.55 on average

Warehouse Warehouse CostsCosts

High warehouse expenses€ 5,350

Low warehouse expenses€ 0

High warehouse expenses€ 4,650

Shipping CostsShipping Costs High shipping cost€ 18,300

Average shipping cost€ 10,650

Average shipping cost€ 10,950

Page 42: Enterprise Systems Collaboration Logistics Game

24. & 25. Lessons Learned & Experiences24. & 25. Lessons Learned & Experiences

• The company must analyze demand and determine the best operation strategy– Push? Pull?: we chose to push the inventory to have more control on

transportation and warehouse costs.• Equilibrium between order frequency and total inventory

– Do not incur in excessive transportation or warehouse costs• Update the price in a timely manner to push for sales.• Oversee total inventory

– For planning purposes: the quantities in the P.O. depend on planned independent requirements.

– Do not exceed total capacity of the company (main and regional warehouses). In case this happens, push for sales reducing prices.

Page 43: Enterprise Systems Collaboration Logistics Game

26. Best Strategy26. Best Strategy

• Take in consideration the lead times, between purchasing a product and the actual delivery time.

• Monitor sales and adjust prices at all times. Therefore, the company can respond to the market requirements quickly.

• Identify the Region in which one specific product is having highest sales.

• Always keep track of total inventory to not exceed the warehouse limits and to not run out of stock.

• Communicate at all times with team members.