Supply Chain Optimization Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

Supply Chain Optimization Case Study Help

In order to meet demand in the optimal way by considering the supply of 250,000 per day, the demand could be met by performing the gap analysis of the company, which is given below in Table 2 for the overall month of April 2011.

Table 2:

Day	Demand	Supply	Supply Gap		Butter	SMP
1	286,387	232,031	36,387	18.19	1,700	998
2	307,453	249,099	57,453	29	2,684	1,576
3	288,095	233,415	38,095	19	1,780	1,045
4	267,987	217,123	17,987	9	840	493
5	288,652	233,866	38,652	19	1,806	1,060
6	327,752	265,545	77,752	39	3,633	2,133
7	260,029	210,676	10,029	5	469	275
8	278,243	225,433	28,243	14	1,320	775
9	299,058	242,297	49,058	25	2,292	1,346
10	323,536	262,129	73,536	37	3,436	2,017
11	269,299	218,186	19,299	10	902	529
12	275,672	223,350	25,672	13	1,200	704
13	308,182	249,689	58,182	29	2,719	1,596
14	287,419	232,867	37,419	19	1,748	1,027
15	307,718	249,313	57,718	29	2,697	1,583
16	316,682	256,576	66,682	33	3,116	1,829
17	330,245	267,565	80,245	40	3,749	2,202
18	335,029	271,441	85,029	43	3,973	2,333
19	342,925	277,838	92,925	46	4,342	2,549
20	309,399	250,675	59,399	30	2,775	1,630
21	272,493	220,774	22,493	11	1,051	617
22	298,470	241,821	48,470	24	2,265	1,330
23	318,493	258,043	68,493	34	3,200	1,879
24	304,744	246,904	54,744	27	2,558	1,502
25	285,709	231,482	35,709	18	1,669	980
26	308,121	249,640	58,121	29	2,716	1,595
27	316,298	256,265	66,298	33	3,098	1,819
28	257,257	208,430	7,257	4	339	199
29	314,569	254,864	64,569	32	3,017	1,771
30	272,352	220,660	22,352	11	1,044	613

Recommendations

After conductinga detailed analysis, it has been concluded that the company should go to procure the SMP and butter in order to meet the demand gap as this method will reduce the per liter cost to 11 INR, which is about half of the cost that the company will have to bearif it chooses to produce in house. The calculations are shown in the Table 3 of the document..................................

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