Course description
About the Course
The Executive Programme in Supply Chain Management & Analytics for executives is designed to impart skills that are necessary in today’s dynamic world of supply chain management. Moreover, this programme will equip participants with the competencies in terms of improve forecasting, identify inefficiencies, respond better to customer needs, drive innovation and pursue breakthrough ideas. After completion of this programme, participants are expected to have real-time analysis based on interpretation of the data, better decision-making capabilities, and understanding of supply chain intelligence to avoid disruptions while supporting new business models.
The programme uses different pedagogical tools such as case studies, optimization problems, and exercises to best deliver the course content.
The programme aims to impart analytical and problem-solving skills necessary to develop solutions for a variety of supply chain management and design problems and develop an understanding for use of information technology in operations & supply chain optimization. The programme highlights how supply chain can make significant contribution to business results and how to cope up with uncertainties in supply chains.
This programme aims to meet the following objectives:
- Understand the complexity and the challenges of managing supply chains.
- To make participants familiar with basic concepts of supply chain management (SCM) & analytics.
- To equip participants with the analytic techniques to solve different supply chain problems.
- Introduce the participants with application of Big Data & its challenges in supply chain.
Key Highlights
CERTIFICATION FROM IIM KASHIPUR
14 COMPREHENSIVE MODULES (EQUIVALENT TO 75 HOURS)
LEARN FROM INDIA’S TOP FACULTIES
WEEKEND LIVE, INTERACTIVE & CASE BASED SESSIONS
INSIGHTS TO ADVANCED SUPPLY CHAIN & ANALYTICS
2 DAYS CAMPUS IMMERSION
DATA ANALYTICS (I.E., DESCRIPTIVE, PREDICTIVE, & PRESCRIPTIVE ANALYTICS) IN SCM
INTRODUCTION AND APPLICATION OF MULTI-CRITERIA DECISION MAKING (MCDM) TECHNIQUES
EMPHASIS ON EMERGING ISSUES IN SCM (DIGITAL TRANSFORMATION, BLOCKCHAIN TECHNOLOGY, SUPPLY CHAIN 4.0, SUSTAINABLE SCM)
SUPPLY CHAIN RISK ANALYTICS
USE OF SPSS, XLMINER, IDS and LINGO SOFTWARE
PROJECT WORK UNDER THE MENTORSHIP
Course description
Who Should attend & Course Pedagogy
There is a rising demand for 'supply chain professionals with data analytics skills' across different industries and management levels. Whether you are an experienced professional or a small business owner, this programme will facilitate to improve your SCM skills sets for informed decision-making. Participants can easily gain expertise and advance their current knowledge levels.
This programme will be more beneficial for:
- Managers who want to gain a comprehensive understanding of multiple aspects related to new age Supply Chain management and willing to develop the ability to make data-driven decisions using Analytics.
- Supply Chain Professionals seeking to develop competencies using Analytics tools and techniques to make smarter, quicker and more informed decisions.
- Young Executives aspiring to enter and grow their careers in the Supply Chain domain and want to understand how to synchronize supply chain planning and execution by improving real-time visibility into these processes and their impact on customers and the bottom line.
- Working Professionals in the Supply Chain domain who are keen to understand how to improve efficiency and be more responsive to customer needs which can lead to cost-saving adjustments in inventory and faster delivery.
- Business Analysts who want to enhance their skills for informed decision-making in Supply Chain Management.
- Consultants who are driving client projects and looking for cutting edge analytical tools & techniques for informed decision-making in Supply Chain Management.
- Entrepreneurs who want to leverage supply chain and data analytics capabilities as a competitive advantage to scale their business
Eligibility
- Diploma (10+2+3) / Bachelor’s Degree or equivalent (10+2+3 or 10+2+4) / 2 Years Masters Degree or Equivalent / from a recognized university (UGC/ AICTE/ DEC/ AIU/ State Government) in any discipline.
- Minimum 3 years of work experience is preferable.
- Participants who fulfil the above criteria but are not working currently are eligible for the programme.
Course Pedagogy
Programme is a blended programme comprising both online and on- campus modules. For the online modules, the primary method of instruction will be through LIVE lectures that will be delivered online via the internet to participants’ desktops/laptops or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur and expert(s) from the industry (If any). The programme will be primarily taught through a combination of class exercises, presentations, take- home exercises, simulation and case studies. The course contents are organized in a way to provide the participants with an introduction on the application of content to various business aspects. The on-campus module will be delivered in classrooms at IIM Kashipur.
Each participant will do a project under the guidance of one of the course faculty.
Assignments, Videos & Case Studies
Curated Course Syllabus
Introduction to SCM & Inventory Management
- Introduction to Supply Chain Management
- Supply Chain Drivers and Metrics
- Role of Cycle Inventory in a Supply Chain
- Lot Sizing for a Single Product – The EOQ MODEL
- The Role of Safety Inventory
- Cycle service level (CSL)
- Impact of Supply Uncertainty on Safety Inventory
- Newsvendor model
Forecasting
- Demand Forecasting in a Supply Chain
- Classification of forecasting methods, Measures of forecast error
Sales and Operations Planning
- Developing Sales and production plans
- New product development
- Inventory planning and strategic initiatives related to supply chain
Procurement, Strategic Sourcing & Logistics Management
- Introduction to Sourcing and its contribution to business performance
- Sourcing Function and how it works
- Purchasing Policy and Procedures
- Supplier Selection and Evaluation
- Supplier governance & risk management
- E-Procurement /Reverse auction
- Managing the contract and supplier Relationship
- Global Sourcing
Service Supply Chain Management
- Introduction to Service Operations Management
- Service Supply Relationships
- Introduction to Service Operations Management
- Service Supply Relationships
- Forecasting Demand for Services
- Service Design
- Service value proposition
- Delivering service guarantee
- Services and branding
Supply Chain coordination and contracts
- Double-marginalization in a supply chain
- Wholesale price contract, Buyback contract, Quantity discount contract
- Revenue-sharing and Cost-sharing contracts
- Portfolio contracts and risk trade-offs
Lean Supply Chain Management
- Lean, Waste, Toyota Production System, Just-in- Time (JIT)
- Single Minute Exchange of Die, Kaizen, Kanban
- Strategies for designing a lean supply chain
- Risk Pooling
- Agile & Resilient SC
Descriptive Analytics for Supply Chain Management
- Analysis of historical and current trends
- Report generation, dashboards and KPIs
- Visualization techniques in supply chain
Prescriptive Analytics-I: Optimization Techniques for Supply Chain Analytics
- The Concepts of Descriptive, Predictive, and Prescriptive Analytics in Supply Chain Management
- Introduction to Generic Parameters of a Decision-making Problem
- Introduction to Linear Programming and its Applications
- Sensitivity Analysis and its Significance
- Formulation and Solution to Transportation problems
- Introduction to Integer Programming and its Applications
Prescriptive Analytics-II: Distribution Network Optimization, Goal Programming
- Prescriptive Analytics for Distribution Network Optimization
- Goal Programming for Supply Chain Optimization, Multi-objective vs. Single-objective Optimization Problems
- Managing Information Flows and Bullwhip Effect in Supply Chains: Analyzing the Effect of Service Level and Centralized Information
Introduction and application of MCDM techniques
- Introduction to Multi-criteria Decision Making
- Introduction to Analytic Hierarchy Process (AHP)
- Supplier selection using AHP
- Supply Chain Risk Analytics
Predictive Analytics for Supply Chain Management
- Solving prediction problems using Linear Regression and Regression Trees
- Solving classification problems using Logistic regression, Classification trees
- Solving clustering problems using k-means clustering
Advanced Supply Chain Analytics using Big Data
- Building Predictive Models
- Optimization techniques for Supply Chain Analytics
- Big Data Analytics for Supply Chain Management
Emerging Issues in Supply Chain Management
- Current trends in Digital Supply Chain
- Supply Chain 4.0 and its benefits
- Industry 4.0 trends
- Use of Blockchain technology
- Sustainable supply chain
Program Fees
For Indian Residents
85,000 Rs. 75,000 + GST* (Limited Time Offer)
Tenure
Deadline
Amount (INR)
1st instalment
Immediate Payment
Rs. 20000 + GST*
2nd Instalment
10 July 2024
Rs. 30000 + GST*
3rd Instalment
10 September 2024
Rs. 25000 + GST*
For International Students
USD 1500
Kindly Note : Campus visit will be over and above of program fee.
* Loan option available in 6, 9 & 12 EMIs from loan partners.
* 1% + GST* processing fees will be charged by loan partner in 6/9/12 months EMI.
* 1% + GST* processing fees will be charged by loan partner in 6/9/12 months EMI.
Tools to be Used
Program faculty members
Learn from the best
Prof. Abhishek Srivastava
Ph.D. IIM Kozhikode
Abhishek Srivastava holds Ph.D. from Indian Institute of Management Kozhikode in the area of Quantitative Methods and Operations Management. Prior ...
Prof. Devendra Kumar Pathak
Ph.D. IIT Delhi
Dr. Devendra Kumar Pathak holds Ph.D. degree from Indian Institute of Technology Delhi in Operations and Supply Chain Management. He also earned hi...
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Testimonials
Experience of our Alumni
About the institute
IIM KASHIPUR
- The Institute is set up with the objective of providing quality management education while sensitizing students towards the needs of the society.
- The faculty at IIM Kashipur represent the best mix of academic and industrial experiences.
- The Institute is located in one of the most densely industrialized regions in the country with over 180 industries having plants in and around the region. This places the Institute at a vantage point when it comes to ‘Learning by Doing’ via frequent industry interactions and live projects.
- The rigorous curriculum seeks to instil a passion for knowledge and ability to apply that knowledge to real life scenarios.
The Indian Institute of Management Kashipur is set up with the mission to drive academic excellence using innovative teaching methods, promoting research and practice of sustainable leadership. The institute commenced operations in July 2011 with a vision to become, over the next 10 years, one of the top business schools in India developing leaders who can perform globally. The fraternity diligently follows the core values of mutual respect, lifelong learning, the pursuit of excellence, transparency, and integrity.
The flagship programmes of the institute are Master of Business Administration (MBA) and Master of Business Administration (Analytics) which are full time, two-year residential programmes. The rigorous educational curriculum tries to ingrain an enthusiasm for learning and the capacity to apply that information to real-life scenarios. The programme lays accentuation on all-round personality.
The institute also offers a two-year weekend Executive Master in Business Administration (MBA-WX) for working executives. Doctoral Programme – PhD and Executive Fellow Programme (EFPM) are the two doctoral programmes launched in 2015 and 2014 respectively. The faculty at IIM Kashipur represents one of the best mixes of academic and industrial experiences.
The 200-acre campus spreads loudness and cheers in the serene town of Kashipur, nested in the lap of Himalayas. The vibrant youth converging from across the country has lent life to and energized the beautiful campus. The institute brags of being situated in one of the densest industrialized districts in the nation with more than 180 ventures that have set up their plants in and around the region. This places the institution at a vantage moment when it comes to ‘Learning by Doing’ through regular industry interaction and live projects.
Start Your Application
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I have read the details and eligibility criteria for admission to the program, that I am applying for.
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I understand that my application shall be considered complete only when the Application fee along with required documents are received by IIM Rohtak and all mandatory fields in the application form are completed.
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I understand that merely submitting the application form and fee, does not entitle me for the admission to the Diploma programme The admission is purely on the basis of my profile scoring, qualification and further evaluation by the Institute.
Career Assistance
Corporate Prices / Plans
No. of Nomination
Discount
2 to 5
5%
6 to 10
7.5%
11 to 20
10%
21 and above
Contact the team
EMI Options / Plans
Partner
Tenure
EMI
1 Month
Rs. 75000 + 18% GST
3 Months
Rs. 25,000 + 18% GST
6 Months
Rs. 14,750 Monthly
9 Months
Rs. 10,719 Monthly
12 Months
Rs. 8,039 Monthly
Please Note
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Processing Charges may be applicable as per bank rules.
-
No loan facility is available for foreign students.
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