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DEA Based Approaches and Their Applications in Supply Chain Management

May 7-8, 2014

Objective: The short-course exposes students to the Data Envelopment Analysis (DEA) methodology and its extensions with applications in the area of Supply Chain Management (SCM). Emphasis will be on both theoretical aspects of DEA methodology and applications in SCM.

The course is open to all interested students. Upon request, students from other universities are given a certificate for having completed this course. There are no prerequisites.

The course is organized by Systems Analysis Laboratory.
Lecturer: The course is given by Prof. Srinivas Talluri (Michigan State University), an internationally renowned scholar whose research interests include topics such as purchasing and supply chain management with emphasis on supplier evaluation and rationalization, buyer-seller negotiation models, and optimal supply network design; technology evaluation and justification with emphasis on advanced manufacturing and information technologies; and multi-factor models for performance evaluation and process improvement in manufacturing and service industries. He is the recipient of John D. and Dortha J. Withrow Endowed Emerging Scholar Award for outstanding scholarly contributions, and the Associate Executive Director for Production and Operations Management Society (POMS).
Content: The course is based on lectures, reading materials and a home assignment. The lectures will be held at Otakaari 1 in room M234(M3) on 7.-8.5.2014 from 13:15-16.00 in accordance with the following course outline:

  1. CCR and BCC Models (Constant and Variable Returns to Scale)
  2. Cross-Efficiency Models
  3. Super Efficiency Model
  4. Weight Restrictions in DEA
  5. Benchmarking in DEA
  6. Windows Analysis in DEA
  7. Ordinal and Cardinal Factors in DEA
  8. Applications in Supply Chain Management
    1. Operational Efficiency and Service Quality
    2. Risk Management in Supply Chains
    3. Buyer-Supplier Negotiations
    4. Monitoring System Performance
    5. Supply Base Optimization
    6. Project Efficiency and Performance Tradeoffs
Enrollment: The students who wish to take the course are kindly requested to send an email to the course assistant Yrjänä Hynninen (firstname.lastname@aalto.fi) at their earliest convenience. This early registration is not mandatory, however.
Credits: No formal examination. The students who attend all lectures and complete the home assignment will receive 1.0 ECTS in Mat-2.4194 Research Course in Systems Science.
Assistant: M.Sc. Yrjänä Hynninen, firstname.lastname@aalto.fi
Material: Presentation slides, Research papers, Homework assignment, DEA example excel file