SUPPLY CHAIN OPTIMIZATION AT MADURAI MILK DAIRY Harvard Case Solution & Analysis

SUPPLY CHAIN OPTIMIZATION AT MADURAI MILK DAIRY Case Solution

Introduction

Madurai Aavin Milk Dairy started its milk project in the year 1967, which was funded by UNICEF under the New Zealand Freedom from Hunger Campaign Committee. The mission of the company is to provide quality products to its customers and in the least possible cost so that the customer loyalty could be maintained for a longer period of time.

The quality of milk can be analyzed through the proportion of fat about 4.5% and SNF about 9%. However, the current situation is problematic not only for the company as a whole, but also for its customers. The gap between the demand and supply is increasing because of the increasing competition with private distributors.

The company has the alternative of producing premium milk from the usage of SMP and butter, which could be acquired from the other sources. This is also known as recombination. In addition to this, in the case when the quality of milk is not up to the standard, then SMP is required to be added. This is also known as reconstitution. The process of recombination is used by the company to meet the demands of the customers in unusual time period.

The issue, which the company is currently facing, is to increase the supply of demand from 70% to meet the overall demand of the customer efficiently, in a way to maintain profitability. The meeting of demand was also challenged by the increasing diseases and the lack of interest on part from farmers to better grow its products. The other issue in meeting the demand was related to the urbanization as well as the increased demand in the period of festivals in the country, which significantly increase the consumption of milk.

Analysis

The analysis of the situation is performed by considering the product demand profile, manufacturing capacity of the company, outsourcing the milk from other dairies, recombination of SMP as well as butter, and lastly, the inventory capacity. The demand of premium milk product from April 2011 to September 2011 is forecasted below, using the figures of estimated sale of packaged milk in liters. The demand is computed by adding 10% to the sale of premium milk product as illustrated below:

Month N ear Forecasting Demand
2008-2009 2009-2010 2010-2011 2011
April 6436977 8168753 8727300 9600030
May 8038673 9042377 9936678 10930346
June 7699105 8535593 9777312 10755043
July 7446966 9159860 10408932 11449825
August 6893954 8660746 9666011 10632612
September 7266777 7985469 8922312 9814543
October 9577732 10287574 11038170 12141987
November 6959258 8865297 9234684 10158152
December 9196648 10106207 10751284 11826412
January 7703373 8763792 9737546 10711301
February 6337111 6573767 7068566 7775423
March 6661873 7012498 7622280 8384508

In order to meet demand in the optimal way by considering the supply of 250000 per day, the demand could be met by performing the gap analysis of the company, which is given below for the overall month of April 2011.

Day Demand Supply Supply Gap Butter SMP
1 286387 232031 36387 18 1700 991
2 307453 249099 57453 29 2684 1565
3 288095 233415 38095 19 1780 1038
4 267987 217123 17987 9 840 490
5 288652 233866 38652 19 1806 1053
6 327752 265545 77752 39 3633 2118
7 260029 210676 10029 5 469 273
8 278243 225433 28243 14 1320 769
9 299058 242297 49058 25 2292 1336
10 323536 262129 73536 37 3436 2003
11 269299 218186 19299 10 902 526
12 275672 223350 25672 13 1200 699
13 308182 249689 58182 29 2719 1585
14 287419 232867 37419 19 1748 1019
15 307718 249313 57718 29 2697 1572
16 316682 256576 66682 33 3116 1816
17 330245 267565 80245 40 3749 2186
18 335029 271441 85029 43 3973 2316
19 342925 277838 92925 46 4342 2531
20 309399 250675 59399 30 2775 1618
21 272493 220774 22493 11 1051 613
22 298470 241821 48470 24 2265 1320
23 318493 258043 68493 34 3200 1866

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