A three-day, full-time, intensive PhD course on Retail Operations and
Analytics.
When: 17-20 September 2023
Where: Stockholm Business School, Stockholm University
Supported by EURO and the Swedish Wholesale and Retail Council
What:
The aim of this course is to further develop doctoral students' skills and
knowledge on how machine learning and analytics can be used to analyze and
solve Operations Management problems in the retail industry.
Over the last decade, the retail industry has transformed completely.
Having been dominated by brick-and-mortar retailers, the retail industry
now consists of a smorgasbord of hybrid omni-channel formats combining
online and brick-and-mortar channels in different ways. This shift has lead
to numerous challenges for retailers on how to best organize and operate to
meet the needs of its customers in a financially and environmentally
sustainable way. At the same time, numerous digital tools means there is
more data available than ever to help retailers in making these decisions.
Upon successful completion of the course, students will have a sound
understanding of how novel methods for data analysis can be used to analyze
and improve retail operations. In particular, participants are expected to:
-Possess an advanced knowledge base on operations research and other
analytics methodologies in the context of retail operations
-Be able to critically evaluate and assess different methodological
approaches in relation to their own PhD research
-Be able to communicate and discuss complex operational problems in retail
operations with their peers and experts in the field
-Be able to design solution approaches for industrial case studies and
present these to relevant stakeholders
For whom
The course is intended for doctoral students of Operations Management or
similar field (industrial engineering, operations research, business
economics etc.), interested in building a sound understanding of concepts,
methods and tools to improve retail operations.
We expect the course to be particularly useful for students motivated to
develop OR tools to solve real cases in Retail contexts.
Content
The course consists of three full days of course work, together with four
weeks of individual studies on a case assignment and a full day to report
the case assignment. Students are also expected to participate in the EWG
annual meeting which will be held in the days following the summer school.
The course work combines hands-on tutorials on selected topics on the
interface of operations research and retail operations. Over the course of
the three days, there is also time for relaxed time slots to discuss PhD
research plans with peers and expert guests from the field.
Sep 17: Arrival and dinner
Sep 18: Statistical Inference in Operations Analytics, Fredrik Eng-Larsson
and Olov Isaksson, Stockholm University, Sweden; PhD research plans
workshop and social activities
Sep 19: Machine Learning applied to Operations Research, Ali Aouad, London
Business School, U.K. and Antoine Desir, INSEAD, France; practitioner
round-table and social activities
Sep 20: Case study on analytics in retail operations with mentoring
sessions, Victor Martinez de Albeniz, IESE Business School
The case assignments will be based on a real case from industry, which will
be prepared by the course faculty and scientific committee. Students will
work in multidisciplinary teams and will be able to interact in different
formats with company representatives and mentors (a Senior EWG Retail Ops
member). After four weeks of individual case work the class will meet to
discuss the case assignment.
Fee and registration
Participation is €400, which includes accommodation, all meals, and social
activities. Accommodation is provided in double rooms, but option of single
rooms is offered with extra payment. Travel costs should be covered by the
participants, either themselves or through external funding.
Apply by January 20, 2023 to ewg@sbs.su.se.
Application should include:
- Application letter including:
Name, affiliation and email address
Phd Program you are enrolled in, current supervisors' names
Background in Retail and in Operations management
Motivation to attend the Phd summer school
- Short Curriculum Vitae
- Recommendation letter from the PhD supervisor
Notifications of acceptance is expected February 2023.
--
Dr Sarah Fores, FORS
Manager of EURO
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