To impart management training in the domain of Decision Sciences to senior officers of the three services in the fields of OR, SA, ICT and PM in accordance with the laid down directions and policy of CDM.
From the inception of the College in 1970 till 1977, the Decision Sciences disciplines were gradually introduced into the curriculum through the Faculty of Management Studies (now Faculty of Strategic & Behavioural Sciences) and Faculty of Management Techniques (present Faculty of Resource Management). Over the years, these were consolidated and the Faculty of Decision Analysis came into existence in Aug 77 and was rechristened as Faculty of Decision Sciences on 16 Nov 04. The department of Systems Analysis was re-designated as the Department of Systems Analysis and Design in Feb 05 in order to emphasise the close linkages to the ‘Design’ aspect, and was shifted under Faculty of Information Systems with effect from May 05.
A review of subjects was carried out in 2015. Based on feedback and Faculty experience, Operations Research and Systems Analysis has now been formally separated as two distinct subjects of OR and SA. The Faculty now has the following four Departments:-
Department of Information & Communication Technology.
Department of Operations Research.
Department of Project Management.
The contents of various disciplines for the HDMC (erstwhile LDMC) have been exhaustively reviewed and a paradigm shift in pedagogy (computer based training) introduced with effect from HDMC-01 in Jun 05. Accordingly, the Master Folders of various disciplines of HDMC have been substantially and comprehensively revised. Further, the number of Faculty Projects taken up by the FDS has gone up substantially over the years.
(a) OR. To impart sufficient exposure to mgt concepts and quantitative techniques for eff plg, decision making and exec of ops and lgs in a single and integrated Services envt.
(b) SA. To instil a spirit of adopting sys thinking in arriving at informed decisions at the tac, op & strat level.
(c) ICT.
(i) To teach concepts and applications of ICT to make eff contribution in jt services envt.
(ii) To enable conversion of date to decisions by exposing Offrs to various tools and techniques of data analytics.
(d) PM.
(i) To channelise the Participants thought process into managing large scale projs from their conception to final completion through the stgs of proj formulation, exec and proj eval.
(ii) To enable application of PM tools and techniques in projectisation of mil ops, capacity bldg and adm.
Unit-I
Introduce Operations Research, illustrate applications of Operations Research for problem solving in decision situations involving Deterministic, Probabilistic and Uncertainty Situations. Describe Linear Programming, Decision Model Building, Define Heuristic process for problem solving, Describe Sensitivity Analysis, illustrate latest software and Excel Add-Ins for optimization in LP. Explain Goal Programming for multi objective optimization and Satisficing solutions.
Unit-II
Decision situations involving Deterministic Situations, describe Transportation Model as a variation of LP. Solving balanced and unbalanced problems. Define Trans-shipment Model as a special case of Transportation problem. Structure a variety of medium to large size Transportation and Transhipment Problems. Demonstrate Assignment Model as a special case of Transportation problem, Explain constraint variations for balanced and unbalanced problems.
Unit-III
Decision situations involving Deterministic Situations. Explain Formulation for Travelling Salesman Problem using latest software. Formulate problems involving Multi-criteria through FDM and AHP, working out of weightage, pair wise comparison for attributes and alternatives, working out the criteria hierarchy and ranking the alternatives. Formulate and solve real-life problems using network models like Minimal Spanning Tree, illustrate Shortest Route and Maximal Flow technique.
Unit-IV
Decision situations involving Probabilistic Situations. Solve problems using Decision Theory, explain Decision Tree and Decision Matrix Approach, Explain Importance and use of Utility Theory in Decision-Making, use of Probability values to make decisions, Expected Value as a decision criterion.
Unit-V
Decision situations involving Probabilistic Situations Define Queuing Theory, Outline Queuing System Configurations. Explain Markov Analysis. Static and Dynamic Simulation, Monte Carlo Simulation. Formulate and solve simple problems involving simulation using latest softwares and Add-Ins. Decision situations involving Uncertainty situations, outline Decision Rules and Game Theory under situations of uncertainty. Concept of Game theory, Strategies, Saddle Point, Dominance, Mixed Strategy, explain usefulness of Game theory in conflict situation, formulation and solving two-person Zero-Sum game, Analyse and solve pure/mixed Strategy Games.
Unit-I
Understand systems theories, concepts and systemic approach for defining problems. Appreciate the iterative process in systems thinking. Application of systems thinking across different fields including strategic management and organizational development.
Unit-II
Describe the system of systems methodologies. Illustrate Jacksons grid including classification of systems and participants involved. Define simple, difficult, complex and messy situations. Differentiate between unitary, pluralistic and coercive participants involved in a situation. Identify the methodologies to be employed within various matrices of Jackson’s grid. Appreciate the fluidity of the boundaries existing between various problem situations.
Unit-III
Define complex systems, recognise the nature of systems problems. Learn the systemic approaches to studying systems, including cause-effect relationships, utilise cause-effect diagrams to visually represent relationships within systems, describe the process of root cause analysis, identify points of intervention and effective intervention types, differentiate between low and high leverage points, utilise case tools to capture and manage system requirements effectively, understand the significance of incommensurables and intangibles in decision-making.
Unit-IV
Illustrate causal loop diagrams with behaviour over time(BOTG) graphs and differentiate between reinforcing and balancing loops with examples. Define systems archetypes and identify commonly recurring archetypes within the causal loop diagrams representing various problem situations. Describe suitable mitigating strategies. Discuss laws of systems with examples. Introduce Vensim software for application in CLD. Define the concept of stock and flow, demonstrate the utilisation of Vensim to simulate behaviour over time.
Unit-V
Introduce soft systems methodology(SSM). Explain the seven step methodology of SSM. Outline the data collection process, express messy situations as a rich picture, identify the relevant systems/process and express the same under CATWOE framework, formulate conceptual models, carryout comparison with real world scenarios, illustrate the process of debate for change.
Unit-I
ICT Overview
Unit –II
New Trends in ICT, Open Source Applications. Internet of Things (loT), 3D Printing, AI Machine Learning, Cloud Computing to cover infrastructure as a service (lasS), Platform as a service (PaaS), Software as a service (SaaS) and applicability to the Armed Forces. OTW
Unit-III
Excel for Basic Data Analytics. Create flexible data aggregations using pivot tables, represent data visually using pivot charts, filter data using slicers in multiple pivot tables for displaying dynamic data, use VLOOKUP, HLOOKUP to find values in Excel lists or tables, convert data and pivot tables into interactive dashboards display key data, using form controls for adding interactivity to Excel Work sheets, use of Macros for automation.
Unit-IV
Big Data and Data Visualization. Introduction to Big Data, Big Data Analytics, tools for Big Data Analytics, harnessing the power of open source data. Introduction to Data Visualization, Data Visualization techniques. Introduction to Microsoft power BI – creating interactive reports, drilling down on large datasets, detecting patterns and insights in the large datasets, tools for geo-spatial analysis for location analysis in large datasets. Big data project on a live dataset integrating Excel, Power BI. Introduction to open source applications for military uses.
Unit – V
Artificial Intelligence (AI) and Machine Learning (ML). Introduction to AI & ML, understanding the basic concepts of AI & ML, learning the types of AI based on nature and functionality, various components of AI, approaches to AI and its use in Armed Forces environment. Introduction to types of machine learning including Supervised and Un-Supervised learning, Semi-Supervised learning, Reinforcement learning and Deep learning. Components and characteristics of the above and their application in military domain.
Unit – I
Essentials of PM and Project Formulation, various phases of a project, development of a Project Plan, Work Breakdown Structure, Task Responsibility Matrix and Project Schedules, introduction to Network Analysis, drawing of AOA and AON networks, PERT and CPM, concept of Float and Slack including Total Float and Free Float, effect of slippages along activities, analysing an AON network given precedence relationships with Lead/ Lag factors using computer software.
Unit – II
Estimation of project time, triple time estimate, definition and allotment of various types of resources, concept of Resource Levelling and Smoothing, Cost vs time conflict, concept of Crashing a Network with specified Normal and Crash Cost, financial management of project using Earned Value Management System (EVMS) utilizing, Earned Value, Cost Variance and Schedule Variance and indices.
Unit – III
Scheduling of activities using MS Project PM Software Package and Microsoft Excel. Utilization of MS Project software including initialization, calendar setting, generation of Gantt Chart, resource definition and allocation, resource optimisation, minimal work force required for a Project, resource sharing and EVMS monitoring, Concept of Crashing and Overtime using MS Project, creation of PM reports and dashboards. Utilization of POM QM Package for triple time estimate, crashing and network planning.
Unit – IV
Project Risk Management including risk vs uncertainty, types of risk, risk planning, Risk Priority Number (RPN), risk mitigation, execution of Risk Management plan. Concept of stake holders and risk comparison. Critical Chain Project Management (CCPM) path method – concept, Salient aspects of CCPM, CCPM Vs CPM process and buffer management. Trends in Project management domain.
Unit – V
Practical application of PM in armed forces, military applications of PM in various domains. Concept of PM competencies as per IPMA Individual Competence Baseline (ICB) global standard.
| Gp Capt Mahesh G Emmi | HoD OR |
| Col Vijayakrishnan V | Fac Coord |
| Col Raj Abhinav, SM** | HoD SA |
| Gp Capt D Bhadoria, VM | DS OR & SA |
| Col Prashant | DS OR & SA |
| Col Srinivas Parthasarthy | DS OR & SA |
| Col Rohit Sambyal | HoD ICT |
| Capt(IN) Abhinand Ramakrishnan | HoD PM |
| Gp Capt C Suresh | DS ICT & PM |
| Col Ravindra Gonte | DS ICT & PM |
| Col Hemant Rana | DS ICT & PM |
| Col Sunil Kumar Udeck | DS ICT & PM |
Nominations for MDP courses is through formations as per vacancy allotted. You can find from your formation the details of vacancies allotted. You can also contact DS Coord, CDM at dscoordcdm.ids@gov.in for additional information.
Topic | Sessions | Topic | Sessions |
Introduction to OR | 1 | Introduction to Systems Thinking & System Terminology | 1 |
Linear Programming | 4 | System Definitions and Concepts | 1 |
LP Problems | 2 | Laws of Systems | 1 |
Transportation Model | 1 | System Dynamics | 1 |
Transhipment Model | 2 | System Archetypes | 2 |
Assignment Model | 2 | Leverages | 1 |
Practice Transportation Problem | 1 | SFD | 1 |
Networks | 3 | VENSIM Software | 1 |
Networks Problem | 1 | Soft Systems Thinking | 3 |
TSM | 1 | Application of Systems Analysis – Case Study | 2 |
MCDM | 3 | Total SA | 14 |
AHP Practice Problem | 1 |
|
|
Decision Theory | 2 |
|
|
Decision Tree | 2 |
|
|
Practice Decision Theory and Tree | 1 |
|
|
Queuing Theory | 2 | Exercise – Assignment Presentation | 1 |
Simulation | 2 | Assimilation Quiz | 1 |
Decision Rules | 1 | General | 4 |
Game Theory | 2 | Total Gen | 6 |
Total OR | 34 | Total Sessions | 54 |
The programme aims to cover the following modules :-
Data modelling and management for big data.
Technology infrastructure for big data: DFS, Map Reduce, Hadoop.
Fundamentals of Analytics.
Mining unstructured data.
Visual analytics : Basic and Advanced constructs.
Exploratory visual analytics for understanding large data sets.
Design and development of dashboards
Storytelling using data analytics.
Nominations for MDP courses is through formations as per vacancy allotted. You can find from your formation the details of vacancies allotted. You can also contact DS Coord, CDM at dscoordcdm.ids@gov.in for additional information.
Topic | Sessions | Topic | Sessions |
Introduction to OR | 1 | Introduction to Systems Thinking & System Terminology | 1 |
Linear Programming | 4 | System Definitions and Concepts | 1 |
LP Problems | 2 | Laws of Systems | 1 |
Transportation Model | 1 | System Dynamics | 1 |
Transhipment Model | 2 | System Archetypes | 2 |
Assignment Model | 2 | Leverages | 1 |
Practice Transportation Problem | 1 | SFD | 1 |
Networks | 3 | VENSIM Software | 1 |
Networks Problem | 1 | Soft Systems Thinking | 3 |
TSM | 1 | Application of Systems Analysis – Case Study | 2 |
MCDM | 3 | Total SA | 14 |
AHP Practice Problem | 1 |
|
|
Decision Theory | 2 |
|
|
Decision Tree | 2 |
|
|
Practice Decision Theory and Tree | 1 |
|
|
Queuing Theory | 2 | Exercise – Assignment Presentation | 1 |
Simulation | 2 | Assimilation Quiz | 1 |
Decision Rules | 1 | General | 4 |
Game Theory | 2 | Total Gen | 6 |
Total OR | 34 | Total Sessions | 54 |
The programme aims to cover the following modules :-
Data modelling and management for big data.
Technology infrastructure for big data: DFS, Map Reduce, Hadoop.
Fundamentals of Analytics.
Mining unstructured data.
Visual analytics : Basic and Advanced constructs.
Exploratory visual analytics for understanding large data sets.
Design and development of dashboards
Storytelling using data analytics.
| Topic | Content | Contact Periods |
| Project Formulation & Planning | Def of Proj, PM, Proj Life Cycle, Feasibility Study and Detailed Project Report, Work Breakdown Structure, Task Responsibility Matrix, Proj Schedule, Proj Org | 4 |
| Network Analysis | Layout of AON networks, Precedence Relationships, Analysis of AON Networks, Fwd Pass, Backward Pass, Critical Path & Activities, Floats | 4 |
| Time Estimation | Single & Three Time Estimates, Determination of Project Duration in PERT using MS Excel. | 4 |
| Resource Optimisation and schedule Compression Techniques | ||
| Earned Value Management System | Earned Value and Variance Analysis, Progress monitoring in Cost & Time Dimensions | 6 |
| Project Monitoring & Control | 2 | |
| Project Risk Management | Risk Identification, Prioritization and Contingency Plans. | |
| Exploiting Microsoft Project Software | 2 | |
| IPMA Individual Competency Baseline Concept | ||
| Recent Trends In Project Management |
At the College of Defence Management, we are dedicated to moulding the next generation of leaders by seamlessly blending the realms of defence and strategic management.
An alumnus of the prestigious National Defence Academy, Major General Harsh Chhibber was commissioned into the Army Service Corps in December 1988. His distinguished career is marked by academic excellence, steering technology absorption and a passion for adventure.
Throughout his service, he has consistently demonstrated exceptional academic prowess. He holds a Doctor of Philosophy (PhD) on Public Policy along with two M.Phil degrees in Business Management and Public Administration. His dedication to professional development is further evidenced by his qualifications on the Technical Staff Officers Course(TSOC), Higher Defence Management Course (HDMC), and the Advanced Professional Programme in Public Administration (APPPA).
Major General Chhibber’s military experience is vast and encompasses various important assignments in Eastern, Northern and Western Sectors including command of the Para ASC company, an ASC Battalion and the ASC training Centre. He has been Brigadier General Staff (Information System) in Eastern Sector and Major General (Operational Logistics) in Northern Sector. He has also served as an instructor at the Army Service Corps Centre and College and as the Directing Staff and Head of the Financial Management Department at College of Defence Management.
A prolific writer he has written many papers on technology absorption in Indian Army and presented same at National Seminars. Software applications developed and implemented by him are in use in a large number of units.
Beyond his academic and military achievements, General officer is a passionate adventurer. A skilled skydiver, mountaineer and car rally driver, he exemplifies the spirit of courage and determination that defines the Indian Army.
His distinguished service has been recognized through numerous awards including Ati Vishisht Seva Medal (AVSM) on 26 Jan 2025, Vishisht Seva Medal (VSM) on 26 Jan 2022, the Chief of Army Staff Commendation Card, and the General Officer Commanding-in-Chief Commendation Cards (twice). On 01 Oct 2024, the General Officer was appointed Colonel Commandant of Army Service Corps.
Currently, he holds the prestigious appointment of Commandant of the College of Defence Management (CDM), effective June 1, 2024. His vast experience and leadership qualities make him well-positioned to guide future generations of military leaders.
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