MBA(A) 218 Supply Chain Analytics Notes cover all 4 units of the GGSIPU MBA (Analytics) Semester 4 marketing elective in 77 pages, with 26 worked numericals, 7 case studies, 35 figures and 70 exam questions (41 short, 29 long). They follow the official MBA (Analytics) Scheme and Syllabus 2022-24 onwards.
Written by Prateek Talwar, Founder, Unnati Educations · Reviewed by Ritik Rawat, B.Tech, Senior Full Stack Developer · Checked against syllMBAAnalytics180225.pdf (Sem 3-4 approved 19.07.2023) · Updated 26 October 2026 · Editorial policy
Scheme: MBA (Analytics) Scheme and Syllabus 2022-24 onwards | Applies to: batches under the 2022-24 onwards scheme | Verified against: syllMBAAnalytics180225.pdf, ipu.ac.in
MBA(A) 218 Supply Chain Analytics at a glance: GGSIPU MBA (Analytics) Sem 4 credits, units and exam pattern
MBA(A) 218 is one of three Semester 4 marketing electives, with MBA(A) 216 and MBA(A) 220. It is a numbers-led paper: forecasting, location and inventory models run through all four units.
| Course and semester | MBA (Analytics), Semester 4, Electives of Marketing |
|---|---|
| Category and credits | Skill Enhancement elective slot · L 3 · 3 credits · 42 teaching hours (12, 8, 10, 12 by unit) |
| Marks | Internal assessment 25: Class Test I 15 + presentation, viva-voce or group discussion 10. End-term marks not printed in the official PDF. |
| End-term pattern | Paper-setter instructions not printed in the official PDF |
| Applies to | Scheme and Syllabus 2022-24 onwards |
| Units and lab | 4 units · no paired lab |
| Rules | GGSIPU Ordinance 11 |
From the evolution of SCM (CO1) through forecasting (CO2) and network design (CO3) to analytics-led decisions (CO4), these GGSIPU MBA (Analytics) Sem 4 Supply Chain Analytics notes follow the course outcomes. See the other GGSIPU MBA (Analytics) Semester 4 papers before choosing electives.
MBA(A) 218 Supply Chain Analytics Notes unit-wise: 26 worked numericals, 7 case studies and 70 exam questions across 4 units
These MBA(A) 218 Supply Chain Analytics IPU notes run from page 5 to 76, with Indian examples throughout. Other papers are listed under GGSIPU MBA (Analytics) notes.
MBA(A) 218 Unit 1: Introduction to Supply Chain Management
Pages 5-25 set up the basics: supply chain surplus, six eras of SCM, analytics mapped to SCOR, KPIs such as OTIF and the cash-to-cash cycle, decision phases with S&OP, three process views, Fisher's and Hau Lee's frameworks, six drivers and strategic fit.
8 sections · 11 figures · 4 worked numericals · 2 case studies · 11 short and 8 long questions.
| Item | Rail (10 days) | Road (3 days) |
|---|---|---|
| Freight cost | ₹18.00 lakh | ₹27.00 lakh |
| In-transit holding cost (20%) | ₹6.58 lakh | ₹1.97 lakh |
| Total | ₹24.58 lakh | ₹28.97 lakh |
Quick look: rail vs express road for 60,000 units a year (from page 18)
- Item
- Freight cost
- Rail (10 days)
- ₹18.00 lakh
- Road (3 days)
- ₹27.00 lakh
- Item
- In-transit holding cost (20%)
- Rail (10 days)
- ₹6.58 lakh
- Road (3 days)
- ₹1.97 lakh
- Item
- Total
- Rail (10 days)
- ₹24.58 lakh
- Road (3 days)
- ₹28.97 lakh
MBA(A) 218 Unit 2: Demand Forecasting
Pages 26-44 open with the four characteristics of forecasts. After the bull-whip effect (see the excerpt) come an 8-week variance table, moving averages, exponential smoothing at two values of α, Holt and Winters models, error measures and a seasonal forecast for an air-cooler brand.
7 sections · 8 figures · 7 worked numericals · 1 case study · 10 short and 7 long questions.
| MAD | 55 ÷ 6 = 9.17 units |
|---|---|
| RMSE | √95.83 = 9.79 units |
| MAPE | 4.08%, so accuracy is about 95.9% |
| Tracking signal | RSFE 5 ÷ MAD 9.17 = 0.55, inside ±4 |
MBA(A) 218 Unit 3: Network Design in Supply Chain
Pages 45-61 decide where facilities go: the four-phase framework, global risks, six distribution designs up to ONDC, factor rating and break-even location, the transportation and capacitated plant location models, a plant-size decision tree and Jordan and Graves' chaining.
7 sections · 8 figures · 8 worked numericals · 2 case studies · 10 short and 7 long questions.
Quick look: centre of gravity for one central warehouse (from page 52)
- Delhi (2, 8; 400 t), Mumbai (1, 4; 300 t), Kolkata (8, 6; 200 t), Chennai (5, 1; 100 t).
- Cx = 3,200 ÷ 1,000 = 3.2.
- Cy = 5,700 ÷ 1,000 = 5.7.
- (3.2, 5.7) lies roughly around Nagpur.
MBA(A) 218 Unit 4: Optimum Level of Product Availability in Supply Chain
Pages 62-76 weigh availability against cost: safety stock at 90, 95 and 99%, NPV of warehouse automation, the analytics maturity ladder, a promotion regression (R² 0.981), a spot-versus-lease decision tree and new trends.
7 sections · 8 figures · 7 worked numericals · 2 case studies · 10 short and 7 long questions.
Quick look: newsvendor order for a Diwali gift hamper (from page 63)
- Cu = 250 − 100 = ₹150; Co = 100 − 80 = ₹20.
- CSL* = 150 ÷ 170 = 0.882, so z ≈ 1.19.
- O* = 350 + 1.19 × 100 = 469 hampers, well above mean demand.
Bull-whip effect and the variance ratio in demand forecasting: excerpt from page 28 of the MBA(A) 218 notes
Excerpt from page 28
Meaning of the bull-whip effect
The bull-whip effect is the pattern in which the variability of orders grows as orders move up the supply chain, from retailers to distributors to manufacturers to suppliers, even when end-customer demand is fairly stable. A small change in consumer demand becomes a much bigger swing at the upstream stages, just as a small flick of the wrist creates a large crack at the end of a whip.
Origin of the term
It is also called the Forrester effect, after Jay Forrester of MIT, who described it in Industrial Dynamics (1961). The name "bullwhip" became popular when Procter & Gamble noticed that babies used Pampers diapers at a very steady rate, yet distributors' orders to P&G, and P&G's orders to its own suppliers, rose and fell sharply.
HP saw the same pattern for printers. Lee, Padmanabhan and Whang explained the causes in their 1997 Sloan Management Review paper, "The Bullwhip Effect in Supply Chains".
Do you know? The Beer Distribution Game
Developed at MIT in the 1960s, the Beer Game is a classroom simulation of a four-stage chain: retailer, wholesaler, distributor and factory. Customer demand changes only once, from 4 to 8 cases, yet players create huge swings in orders and stock. The lesson is that the bull-whip effect comes from the structure of the chain and its information delays, not from the players lacking intelligence.
Measuring the bull-whip effect
The effect is measured as the ratio of the variance of orders a stage places to the variance of the demand it receives:
Bullwhip ratio = Variance of orders ÷ Variance of demand (σ²orders ÷ σ²demand)
| Ratio | What it shows |
|---|---|
| Greater than 1 | Amplification: the bull-whip effect is present |
| Equal to 1 | Orders vary exactly as much as demand |
| Less than 1 | The stage is smoothing demand |
Reading the bullwhip ratio (from page 28)
- Ratio
- Greater than 1
- What it shows
- Amplification: the bull-whip effect is present
- Ratio
- Equal to 1
- What it shows
- Orders vary exactly as much as demand
- Ratio
- Less than 1
- What it shows
- The stage is smoothing demand
MBA(A) 218 exam corner: 41 two-to-five-mark and 29 ten-to-fifteen-mark questions by unit, from strategic fit to newsvendor
Each unit lists "2–5 Marks" and "10–15 Marks" questions without model answers; its worked numericals are the practice for calculations.
| Unit | 2–5 Marks | 10–15 Marks | Worked numericals | Case studies |
|---|---|---|---|---|
| I | 11 | 8 | 4 | 2 |
| II | 10 | 7 | 7 | 1 |
| III | 10 | 7 | 8 | 2 |
| IV | 10 | 7 | 7 | 2 |
MBA(A) 218 exam questions and worked material per unit
- Unit
- I
- 2–5 Marks
- 11
- 10–15 Marks
- 8
- Worked numericals
- 4
- Case studies
- 2
- Unit
- II
- 2–5 Marks
- 10
- 10–15 Marks
- 7
- Worked numericals
- 7
- Case studies
- 1
- Unit
- III
- 2–5 Marks
- 10
- 10–15 Marks
- 7
- Worked numericals
- 8
- Case studies
- 2
- Unit
- IV
- 2–5 Marks
- 10
- 10–15 Marks
- 7
- Worked numericals
- 7
- Case studies
- 2
- Unit I (10–15 Marks): What is supply chain strategy? Explain efficient and responsive supply chains with reference to Fisher's and Lee's frameworks. Pointer: section 5 (pages 14-16), the Fisher matrix and Lee's four strategies.
- Unit II (2–5 Marks): What is a tracking signal? How is it interpreted? Pointer: section 6 (pages 37-39), where an α = 0.2 forecast drifts to +7.
- Unit III (2–5 Marks): What is total landed cost? Why is it important in global sourcing? Pointer: section 2 (pages 46-48): Vietnam's ₹462.85 beats China's ₹482.54 despite a higher price.
- Unit IV (2–5 Marks): What is meant by optimum level of product availability? Distinguish between fill rate and cycle service level. Pointer: the table on page 62.
The MBA(A) 218 notes list 41 two-to-five-mark and 29 ten-to-fifteen-mark questions across 4 units, backed by 26 worked numericals.
A separate question bank sits in the MBA(A) 218 important questions.
Who writes and checks the MBA(A) 218 Supply Chain notes?
- Prateek Talwar · author · Founder, Unnati Educations · Associate Company Secretary (ACS), ICSI, membership no. 58704, since 15 May 2019 · B.Com, University of Delhi (School of Open Learning), 2012 · profile
- Ritik Rawat · subject reviewer for the models and numericals · Senior Full Stack Developer, Unnati Educations · B.Tech · profile
The 2026-27 edition is mapped to the 2022-24 onwards scheme, and its Indian context covers GST, the National Logistics Policy and ONDC. Updated 26 October 2026; read the editorial policy.
Revision sets for other courses are collected in GGSIPU important questions.
Do the MBA(A) 218 notes cover the full GGSIPU syllabus?
Yes: all 26 topics in the four official units have their own numbered section, and each unit follows the official order.
| Official unit | Official topics | In the notes | Status |
|---|---|---|---|
| I Introduction to Supply Chain Management | Evolution of SCM, analytics in SCM, supply chain planning, different perspectives of SCM, supply chain strategy, supply chain drivers, developing supply chain strategy, strategic fit | Sections 1-8, pp 5-23 | Covered |
| II Demand Forecasting | Bull-whip effect and time series forecasting, exponential smoothing, measuring forecasting errors, tracking signals and seasonality models | Sections 1-7, pp 26-42 | Covered |
| III Network Design in Supply Chain | Network design of global supply chain, alternative channels of distribution, location decisions, network optimization models, uncertainty in network design, flexibility | Sections 1-7, pp 45-59 | Covered |
| IV Optimum Level of product availability | Time value of money, types of analytics, predictive modeling for forecasting, uncertainty and decision tree analysis, modeling flexibility, challenges and emerging trends | Sections 1-7, pp 62-74 | Covered |
MBA(A) 218 official units and topics mapped to the notes
- Official unit
- I Introduction to Supply Chain Management
- Official topics
- Evolution of SCM, analytics in SCM, supply chain planning, different perspectives of SCM, supply chain strategy, supply chain drivers, developing supply chain strategy, strategic fit
- In the notes
- Sections 1-8, pp 5-23
- Status
- Covered
- Official unit
- II Demand Forecasting
- Official topics
- Bull-whip effect and time series forecasting, exponential smoothing, measuring forecasting errors, tracking signals and seasonality models
- In the notes
- Sections 1-7, pp 26-42
- Status
- Covered
- Official unit
- III Network Design in Supply Chain
- Official topics
- Network design of global supply chain, alternative channels of distribution, location decisions, network optimization models, uncertainty in network design, flexibility
- In the notes
- Sections 1-7, pp 45-59
- Status
- Covered
- Official unit
- IV Optimum Level of product availability
- Official topics
- Time value of money, types of analytics, predictive modeling for forecasting, uncertainty and decision tree analysis, modeling flexibility, challenges and emerging trends
- In the notes
- Sections 1-7, pp 62-74
- Status
- Covered
Official source: GGSIPU MBA (Analytics) Scheme and Syllabus 2022-24 onwards (MBA(A) 218 is on page 94).
Decision trees appear in both Unit III and Unit IV. The same check covers each paper in GGSIPU notes.
How to write MBA(A) 218 answers: formula, working table and a one-line decision for every numerical
MBA(A) 218 rewards working, not just the answer. The notes' exam tips repeat one pattern: formula, data table, steps, then a decision.
- Bull-whip long answer: meaning and origin, a diagram, the variance ratio, Lee's four causes and a remedies table. A small variance-ratio numerical earns extra credit.
- Drivers: draw the framework, then give each driver its meaning, efficient versus responsive choice and two metrics.
- Tracking signal: RSFE ÷ MAD, ±4 limits, a running table, then a corrective action.
- Sign of the error: the notes use e = D − F, Chopra and Meindl F − D; say which, as it flips the bias sign.
Worked example: a supplier's "2/10, net 30" term (page 65)
Skipping the 2% discount means paying ₹2 to borrow ₹98 for 20 more days. Implied annual rate = (2 ÷ 98) × (365 ÷ 20) = 0.0204 × 18.25 = 37.2%. If working capital costs about 11%, take the discount.
Test the format on past-style questions from GGSIPU MBA (Analytics) important questions.
MBA(A) 218 and the GGSIPU MBA (Analytics) Sem 4 papers it connects to
MBA(A) 218 has no lab paper; credits for every Sem 4 paper are on the GGSIPU MBA (Analytics) syllabus page.
| MBA(A) 218 unit | Sem 4 paper | Shared idea |
|---|---|---|
| III break-even location, IV decision trees | MBA(A) 204 Project Management | Break-even point; risk analysis |
| IV predictive modeling | MBA(A) 208 Multivariate Data Analysis | Regression and model fit |
| I and IV types of analytics | MBA(A) 216 Marketing Analytics | Descriptive, predictive and prescriptive analysis |
| III emerging channels | MBA(A) 220 Digital and Social Media Marketing | B2C and B2B internet selling |
Where MBA(A) 218 units meet other Semester 4 papers
- MBA(A) 218 unit
- III break-even location, IV decision trees
- Sem 4 paper
- MBA(A) 204 Project Management
- Shared idea
- Break-even point; risk analysis
- MBA(A) 218 unit
- IV predictive modeling
- Sem 4 paper
- MBA(A) 208 Multivariate Data Analysis
- Shared idea
- Regression and model fit
- MBA(A) 218 unit
- I and IV types of analytics
- Sem 4 paper
- MBA(A) 216 Marketing Analytics
- Shared idea
- Descriptive, predictive and prescriptive analysis
- MBA(A) 218 unit
- III emerging channels
- Sem 4 paper
- MBA(A) 220 Digital and Social Media Marketing
- Shared idea
- B2C and B2B internet selling
Also in Semester 4: MBA(A) 202 Major Project Report, MBA(A) 206 Ancient Management Philosophy and Indian Ethos (NUES), and the HR (210, 212, 214) and finance (222, 224, 226) electives.
MBA(A) 218 Supply Chain notes FAQs
How do I get the full MBA(A) 218 notes?
Tap "Get Full Notes" at the top or the WhatsApp button at the end of this page and send the ready-made MBA(A) 218 message. The full notes come only as a printed book, not as a PDF: all 4 units in 77 pages. Delivery takes 5-7 days at most, and the rest depends on your location.
Is MBA(A) 218 Supply Chain Analytics a core paper or an elective?
It is an elective. The official scheme lists MBA(A) 218 under "Electives of Marketing" in Semester 4, with L 3 and 3 credits, filling an Elective III or IV slot typed Skill Enhancement. Students choose any two electives from one stream, so a marketing-stream student picks two of MBA(A) 216 Marketing Analytics, MBA(A) 218 and MBA(A) 220.
What are the passing marks for MBA(A) 218?
For MBA(A) 218 the official PDF prints only the internal assessment: 25 marks, split into Class Test I for 15 and a presentation, viva-voce or group discussion for 10. It prints no end-term marks or pass percentage. The scheme says it follows GGSIPU Ordinance 11, so check that ordinance on ipu.ac.in for end-term minimums and re-appear rules.
Which MBA(A) 218 unit has the most numericals?
Unit III of MBA(A) 218, with 8 worked numericals covering total landed cost, factor rating, centre of gravity, break-even location, a transportation problem, choosing which plants to open, a plant-size decision tree and the value of flexible capacity. Units II and IV have 7 each and Unit I has 4, mostly KPI and trade-off sums.
Do I need Excel to solve the MBA(A) 218 numericals?
No. In MBA(A) 218 every worked numerical is shown step by step with a formula you can do on a calculator. The notes also name the matching Excel tool, such as =VAR.S for bull-whip variances, =NORM.INV for the newsvendor quantity, Solver for the transportation model and =LINEST for regression, which helps when you repeat the models in project work.
Are the MBA(A) 218 notes based on Chopra and Meindl?
Largely, yes. Chopra and Meindl's Supply Chain Management is the second suggested reading for MBA(A) 218, and the notes use its decision phases, drivers, strategic fit, network framework and six distribution designs. They add Fisher (1997), Hau Lee (2002), Lee, Padmanabhan and Whang (1997) on the bull-whip effect, and Jordan and Graves (1995) on chaining.
Get the full MBA(A) 218 Supply Chain Analytics Notes on WhatsApp
| Part | Pages |
|---|---|
| Cover and index | 1-4 |
| Unit I | 5-25 (21) |
| Unit II | 26-44 (19) |
| Unit III | 45-61 (17) |
| Unit IV | 62-76 (15) |
Pages per unit in the full MBA(A) 218 notes book
- Part
- Cover and index
- Pages
- 1-4
- Part
- Unit I
- Pages
- 5-25 (21)
- Part
- Unit II
- Pages
- 26-44 (19)
- Part
- Unit III
- Pages
- 45-61 (17)
- Part
- Unit IV
- Pages
- 62-76 (15)
The 77-page book has 29 sections, 35 figures, 26 worked numericals and a revision table per unit. These Supply Chain Analytics notes in English come as a printed book only, not as a PDF. Delivery takes 5-7 days at most, depending on your location. Price is shared on WhatsApp.
Order the MBA(A) 218 notes book on WhatsApp (4 units, 77 pages)
Unnati Educations is an independent education provider based in Vikaspuri, Delhi. We are not affiliated with, authorised by, or endorsed by Guru Gobind Singh Indraprastha University (GGSIPU). 'GGSIPU' and 'IPU' are used only to describe the syllabus our notes follow. For official information, visit ipu.ac.in.
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