Supply Chain Innovation at Geddy’s Team Name :GSCMI Warriors 1st Round Room: 4009 Satish Kunchakuri Harshal Samant Erik Parronchi Gokul Nair Indian Context Harshal Samant Low Differentiation High degree of Seasonality Lack of Cold Storage facilities High power and fuel cost Geddy’s Supply Chain GSCMI 2013 Case Competition Milk sourcing from co-operative societies 2 Implication on Supply Chain Harshal Samant High degree of seasonality • No Level production • Limitation to capacity expansion Cold storage facilities • Limitations to expand business • Regional players High power and fuel cost • Centralized production and storage • Forces Geddy’s to maximize usage of depot at factory GSCMI 2013 Case Competition 3 Implication on Supply Chain Harshal Samant Low differentiation between ice-cream and frozen dessert • Maintain high in-stock service level Milk supply • Milk sourcing from co-operative societies • Need to maintain high degree of quality control GSCMI 2013 Case Competition 4 Short-term strategy Erik Parronchi Cost Efficiency Hedge contracts for raw and packaging materials 1 2 3 Benchmark with indirect companies to increase bargaining power Revenue generation through home delivery services GSCMI 2013 Case Competition 5 Long-term strategy Erik Parronchi Market Expansion Awareness B2B Kiosks Cart GSCMI 2013 Case Competition 6 Long-term strategy Erik Parronchi Cost Efficiency Vertical Integration • Increase control Production • Raw material Supply Chain GSCMI 2013 Case Competition • Distribution 7 Planning for the uncertainty! Cost Efficiency Satish K Mixed-production strategy Vertical Integration • Increase control Lease out current under-utilized capacity Rent additional cold-storage for increased • Raw Production demand material Advertising and promotions during winter season Supply • Distribution Chain Optimal production + export to Australia and other countries GSCMI 2013 Case Competition 8 Explaining Discrepancies.. Gokul Nair Sudden drop in Weekly sales from week 28 to 29 A correlation between sales of BT and BBS observed BT stock out results in customers not purchasing BBS Stockouts TV BBS LL BT Total Sales TV BBS LL BT 28 93 108 49 96 345 - Y Y Y 29 91 77 44 16 227 - Week Y Insights The customers are probably mixing both flavors in a cone/scope. Therefore, unavailability of one results in drop in sale of other. Conversely, when BT is in stock, the corresponding sale of BBS also increases, so Geddy should try and maintain their availability. GSCMI 2013 Case Competition 9 Best Performing Policy Gokul Nair We recommend a “Scaled Stocking Level Policy” in order to maximize the profit (12.04/unit) Profit Calculations Policy Type Target Service Level Policy Profit/Unit Profit/Unit 12.30 14.00 12.00 Scaled Stocking Level Policy Common Service Level 12.04 10.00 11.28 8.00 Target Level for Top 3 Margin 8.03 6.00 Target Level for Top 2 Margin 10.45 12.30 12.04 11.28 10.45 8.03 Profit/Unit 4.00 2.00 Achieve highest profits to 0.00 meet space limits of 350 units. Target level policy not selected as it never meets the total space limits, despite having higher profits/unit Target Scaled Common Target Level Target Level Service Level Stocking Service Level for Top 3 for Top 2 Policy Level Policy Margin Margin GSCMI 2013 Case Competition 10 GSCMI 2013 Case Competition 11 GSCMI 2013 Case Competition 12 Calculations.. Anova Chart Coefficients Intercept Standard Error t Stat P-value 11.5935985 6.057849798 1.913814 0.062017 BT 0.5485405 0.11520873 4.761275 2.03E-05 BBS 0.3677582 0.090271696 4.073904 0.000185 Regression Equation BBS Sales = .548 x BT Sales+ .367 x BBS Demand + 11.59 BT_sales BBS_demand BBS_sales BBS_sales_Actual 15.68308 122.88 65.38653 76.72314672 10.81985 124.8 63.42495 76.65585203 15.75081 122.88 65.42368 63.8793426 15.44297 122.88 65.25482 64.755019 18.15733 121.92 66.39071 70.96235342 20.6293 120.96 67.39364 69.43307939 25.49975 119.04 69.35918 70.44340177 GSCMI 2013 Case Competition 13