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Yes. Based on the research gap we developed and the literature-review paper you uploaded, I would make the 7 slides **very focused on the research gap**, not on your SIP project…
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Yes. Based on the research gap we developed and the literature-review paper you uploaded, I would make the 7 slides **very focused on the research gap**, not on your SIP project. The story should be: **Industry problem → what literature has studied → what is missing → your research angle → why it matters.** A particularly strong paper for your story is Goltsos et al. (2022), which found that forecasting and inventory-control research has historically been fragmented, with relatively few studies explicitly integrating the two. ([ScienceDirect][1]) Another recent review shows that inventory research is moving toward multi-item, multi-location and more integrated approaches. ([ScienceDirect][2]) ## Slide 1 — Title ### **Research Gap in Inventory Planning and Optimization** **Proposed Research Topic:** **Impact of Integrated Inventory Planning Practices on Inventory Optimization Performance in Manufacturing Industries** **Research focus:** * Demand Forecasting * ABC–XYZ–HML Classification * Reorder Point Planning * ERP-Based Inventory Support * Inventory Optimization Performance **Name | MBA | Christ University** **Visual:** Keep this very clean. Use a simple flow: **Forecasting → Classification → ROP → ERP → Inventory Performance** --- # Slide 2 — What is the Issue? ### **The Problem: Inventory Decisions Are Often Fragmented** * Manufacturing firms manage **large numbers of SKUs**, making equal attention to every item impractical. * Demand forecasting and inventory replenishment are often treated as **separate activities**. * Inventory classification helps prioritize SKUs, but different classification approaches may be applied independently. * Reorder decisions need to translate demand information into **actual inventory actions**. * ERP systems provide information, but the extent to which planning practices are effectively integrated with inventory decisions can vary. ### **Research Angle** > **This study examines whether integrated inventory planning practices—forecasting, inventory classification, replenishment planning and ERP support—can improve inventory optimization performance.** This is strongly supported by the forecasting–inventory literature, which identifies a persistent separation between forecasting research and inventory-control research. ([ScienceDirect][1]) **Visual:** Use a broken-chain graphic: **Forecasting** ❌ **Classification** ❌ **ROP** ❌ **ERP** ↓ **Fragmented inventory decisions** Then below: **Your research:** **Integrated Planning → Inventory Optimization** --- # Slide 3 — Key Developments in the Literature ### **From Traditional Inventory Control to Integrated Optimization** Use a **horizontal timeline**, rather than paragraphs. **1913** 📦 **EOQ / Classical Inventory Control** Focus on order quantities and inventory levels. ↓ **Later developments** 📊 **ABC Classification** SKU prioritization based on importance/value. ↓ **Forecasting era** 📈 **Demand Forecasting** Forecasting becomes an important input to inventory decisions. ↓ **ERP / MRP era** 💻 **Integrated Information Systems** Inventory, production and planning information become connected. ↓ **2022** 🔗 **Forecasting + Inventory Integration** Research highlights the continuing gap between forecasting and inventory control. ([ScienceDirect][1]) ↓ **2025–26** 🤖 **AI / ML + Multi-item + Multi-location Optimization** Recent research increasingly explores machine learning, automation and complex inventory networks. ([ScienceDirect][3]) ### Bottom of slide: **Emerging direction:** **From individual inventory techniques → integrated, data-driven inventory decision-making** This timeline is especially useful because recent review research explicitly describes the evolution toward multi-item and multi-location inventory problems. ([ScienceDirect][2]) --- # Slide 4 — What Sources Did I Use? ### **Literature Base** I would divide this slide into **3 source groups**: ### 1. Review Papers Used to understand the **overall research landscape and gaps**. * Systematic reviews * Critical reviews * Literature reviews ### 2. Empirical Research Used to understand how inventory practices are applied in **real organizations**. * Manufacturing studies * Supply-chain case studies * Inventory-management studies ### 3. Methodological Literature Used to justify the **type of literature review and research approach**. * Snyder (2019) * Tranfield et al. (2003) * Other review-method papers ### **Were the sources credible?** **Yes.** Priority was given to: * Peer-reviewed journal articles * Established academic publishers * Review papers * Recent studies * Highly relevant operations/supply-chain research For example, Snyder's *Journal of Business Research* paper explains that literature reviews can be used to identify knowledge gaps and develop conceptual frameworks. ### **Different perspectives** The literature does **not** look at inventory optimization from one angle: **Operations Research** → mathematical optimization **Supply Chain** → coordination and replenishment **Forecasting** → demand uncertainty **Information Systems** → ERP/digital integration **Industry studies** → practical implementation **This difference itself helped identify the research gap.** --- # Slide 5 — Why Does This Matter? ## **Why It Matters to Industry** ### For Companies **Large SKU portfolios** → Difficult to prioritize inventory **Demand uncertainty** → Difficult to determine future requirements **Fragmented planning** → Forecasts may not directly translate into replenishment decisions **Multiple inventory decisions** → Classification, ROP, storage and planning need coordination **Digital transformation** → ERP and advanced analytics create opportunities for more integrated decisions ### Business Outcome **Better integration can potentially lead to:** 📉 Lower stockout risk 📦 Better inventory availability 💰 Better inventory investment 🔄 More effective replenishment 📊 Data-driven decisions Recent literature also points toward automation and multi-criteria inventory analysis as emerging directions, rather than relying only on one-dimensional classification. ([Springer Link][4]) ### **Professional relevance** > As an Operations/Lean professional, this research connects analytical techniques with actual managerial decision-making rather than treating forecasting, classification and replenishment as isolated tools. --- # Slide 6 — What Did I Learn / Unlearn? This should feel **personal and reflective**, because the professor specifically asks what you learned. ## **What I Learned** ### 1. Inventory optimization is not just about reducing inventory. It is about finding the **right inventory at the right level** while maintaining availability. ### 2. Forecast accuracy alone is not enough. A forecast becomes valuable when it supports an actual **inventory or replenishment decision**. This is also a major theme in the forecasting–inventory literature. ([ScienceDirect][1]) ### 3. Classification techniques serve different purposes. ABC, XYZ and HML should not be treated as interchangeable; they capture different characteristics of inventory. ### 4. Integration is more important than using more techniques. The research gap became clearer when I looked at how the different practices connect rather than studying each one separately. ### **What I Unlearned** > **“The best inventory model is necessarily the most technically advanced model.”** I learned that a model also needs to be **practical, interpretable and usable by managers**. ### **How this changed my research** My research moved from: **“Which inventory technique is best?”** to: **“How do integrated inventory planning practices influence inventory optimization performance?”** That is your strongest takeaway from the entire literature-gap exercise. --- # Slide 7 — References Keep this slide simple and don't put 15–20 references. ### **References** **Goltsos, T. E., Syntetos, A. A., Glock, C. H., & Ioannou, G. (2022).** Inventory–forecasting: Mind the gap. *European Journal of Operational Research, 299*(2), 397–419. [https://doi.org/10.1016/j.ejor.2021.07.040](https://doi.org/10.1016/j.ejor.2021.07.040) ([ScienceDirect][1]) **Snyder, H. (2019).** Literature review as a research methodology: An overview and guidelines. *Journal of Business Research, 104*, 333–339. [https://doi.org/10.1016/j.jbusres.2019.07.039](https://doi.org/10.1016/j.jbusres.2019.07.039) **Tranfield, D., Denyer, D., & Smart, P. (2003).** Towards a methodology for developing evidence-informed management knowledge by means of systematic review. *British Journal of Management, 14*, 207–222. **Babai, M. Z., Syntetos, A. A., & Teunter, R. H. (2025/2026).** Fifty years of inventory research from a forecasting perspective. *European Journal of Operational Research, 331*(1), 1–20. [https://doi.org/10.1016/j.ejor.2025.07.003](https://doi.org/10.1016/j.ejor.2025.07.003) ([ScienceDirect][2]) **Mature inventory management for supply chain automation: An interlinked process-reference model. (2025).** *Electronic Markets, 35*, 34. ([Springer Link][4]) Follow Design: {"palette":["Deep Supply Navy #0F2038 — primary headers, major structural cards, and high-emphasis callouts","Industrial Amber #E06D14 — highlight accents, broken chain indicators, and key gap emphasis","Precision Slate #475569 — secondary body text, subheadings, and diagram connectors","Technical Rule Gray #CBD5E1 — hairline borders, timeline dividers, and flow step arrows","Clean Paper Off-White #F8FAFC — slide background canvas and neutral surface backing"],"fonts":{"Space Grotesk":"https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300..700&display=swap","Inter":"https://fonts.googleapis.com/css2?family=Inter:ital,wght@0,100..900;1,100..900&display=swap","JetBrains Mono":"https://fonts.googleapis.com/css2?family=JetBrains+Mono:ital,wght@0,100..800;1,100..800&display=swap"},"type":"Space Grotesk in bold tracking -0.02em for sharp industrial titles; Inter in regular/medium weights for legible academic body and synthesis bullets; JetBrains Mono in uppercase 11pt for methodological labels and citations.","layout":"A 12-column analytical grid with wide 56px gutters, consistent left-aligned header zones, modular 3-box horizontal groupings, and disciplined horizontal progress bands across timeline slides.","framework_treatment":"Boxed structural cards with crisp 1px borders, segmented process-flow pipelines with badge connectors, contrasting amber highlight pill tags for research gap callouts, and clean 2-column comparative metric panels.","feels_like":"An MIT Operations Research briefing meets an executive supply-chain gap analysis whitepaper"}
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This community presentation was shared by jyothika sg as a complete 7-slide example. Yes. Based on the research gap we developed and the literature-review paper you uploaded, I would make the 7 slides **very focused on the research gap**, not on your SIP project… The preview lets you review the full sequence in order, rather than judging the design from a single cover image.
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