Centres Of Excellence

To focus on new and emerging areas of research and education, Centres of Excellence have been established within the Institute. These ‘virtual' centres draw on resources from its stakeholders, and interact with them to enhance core competencies

Read More >>

Faculty

Faculty members at IIMB generate knowledge through cutting-edge research in all functional areas of management that would benefit public and private sector companies, and government and society in general.

Read More >>

IIMB Management Review

Journal of Indian Institute of Management Bangalore

IIM Bangalore offers Degree-Granting Programmes, a Diploma Programme, Certificate Programmes and Executive Education Programmes and specialised courses in areas such as entrepreneurship and public policy.

Read More >>

About IIMB

The Indian Institute of Management Bangalore (IIMB) believes in building leaders through holistic, transformative and innovative education

Read More >>

A Study on the Instance Space of the Shift Minimization Personnel Task Scheduling Problem

Reshma Chandrasekharan, Cimmo Nurmi and Nico Kyngas
2023
Working Paper No
682
Body

Much like any other problem in optimization, the shift minimization task scheduling problem has also greatly benefited from the presence of a benchmark instance set. This paper studies the properties of this benchmark dataset and identifies the factors that most influence the hardness of these instances based on the performance of the state of
the art solution techniques available for the problem.

Key words
optimization, employee scheduling, instance space analysis
WP No. 682.pdf (1.29 MB)

A Study on the Instance Space of the Shift Minimization Personnel Task Scheduling Problem

Author(s) Name: Reshma Chandrasekharan, Cimmo Nurmi and Nico Kyngas, 2023
Working Paper No : 682
Abstract:

Much like any other problem in optimization, the shift minimization task scheduling problem has also greatly benefited from the presence of a benchmark instance set. This paper studies the properties of this benchmark dataset and identifies the factors that most influence the hardness of these instances based on the performance of the state of
the art solution techniques available for the problem.

Keywords: optimization, employee scheduling, instance space analysis
WP No. 682.pdf (1.29 MB)