राष्ट्रीय विकास परिषद

Data-driven supply chain design vs execution analytics

नीति आयोग

Predictive and prescriptive analytics

Descriptive and diagnostic analytics

स्वैच्छिकता क्या है इसकी अवधारणा क्या है ओर यह किस प्रकार विकास को प्रभावित करती है |

स्वैच्छिक प्रयास और जनभागीदारी ग्रामीण विकास में किस प्रकार सहायक होते हैं?

Discuss predictive forecasting using time-series models and linear/mixed-integer optimization for supply chain planning. What challenges arise in implementing these?

नीति आयोग क्या है इसका इतिहास उद्देश्य ओर संरचना पर प्रकाश डाले |

'Production analytics enable real-time quality control and lean operations in supply chains.' Do you agree or disagree? Illustrate with examples from supply chain execution.

Explain warehouse efficiency techniques like slotting algorithms and route optimization with heuristics. How do these impact order fulfillment KPIs such as OTIF rates?

What is transportation planning in supply chains? Discuss how GIS analytics and scenario modeling contribute to risk assessment and resilient supply chains.

 भारत में कृषि एवं ग्रामीण विकास के संदर्भ में आजादी के बाद से अब तक बनाए गए पंचवर्षीय योजनाओं का वर्णन कीजिये |

Describe the role of data analytics in supply chain network design. How can forecasting models optimize inventory and capacity? Provide examples.

भारत में स्वैच्छिक संगठनों का ग्रामीण विकास में क्या योगदान है उदाहरण सहित सविस्तार व्याख्या करें |

Explain data visualization tools such as Tableau and Power BI. What are the various issues involved in interpreting and visualizing supply chain data?

Descriptive and diagnostic analytics are the foundation, but predictive and prescriptive analytics drive true competitive advantage in supply chains.' Do you agree or disagree with this statement? Please explain.

भारत में नियोजन के विभिन्न स्तरों का वर्णन कीजिए |

How do you collect and manage data in supply chains? What precautions must a manager take while handling supply chain data? Provide suitable examples.

'Data analytics transforms supply chain management from reactive operations to proactive, data-driven decision-making.' Does every supply chain application necessarily require advanced analytics, or can basic techniques suffice? Explain with examples from the course.