Douglas Alem

Lecturer

University of Edinburgh Business School

United Kingdom

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Douglas Alem is a Lecturer at the University of Edinburgh Business School in the UK. His research focuses on optimization and decision-making strategies in various industries, including the beverage and pharmaceutical sectors. Recent articles examine topics such as lot-sizing and scheduling, disaster preparedness, and equitable humanitarian logistics, emphasizing the application of mathematical models to real-world challenges.

Articles (13)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

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2020

Collaborators (4)

Susana Relvas

Associate Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Adam Abdin

Associate Professor

CentraleSupélec

FRANCE

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Yiping Fang

Assistant Professor

CentraleSupélec

FRANCE

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Aakil Caunhye

Senior Lecturer

University of Edinburgh

UNITED KINGDOM

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Douglas Alem

Research Interests

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Articles (13)

A critical review of MIP models for lot-sizing and scheduling in the beverage industry

Long-Lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity

Crew Scheduling and Routing Problem in Road Restoration via Branch-and-Price Algorithms

Fragility-based lot-sizing in veterinary pharmaceutical plants under demand uncertainty

An optimization model for planning testing and control strategies to limit the spread of a pandemic – The case of COVID-19

Service-level-driven procurement and production lot-sizing problem with demand fulfilment

Revisiting Gini for equitable humanitarian logistics

Brazilian disaster datasets and real-world instances for optimization and machine learning

Building disaster preparedness and response capacity in humanitarian supply chains using the Social Vulnerability Index

A shortage risk mitigation model for multi-agency coordination in logistics planning

Decomposition-based algorithms for the crew scheduling and routing problem in road restoration

A practical assessment of risk-averse approaches in production lot-sizing problems

Cash flow management by risk-neutral and risk-averse stochastic approaches

Collaborators (4)

Susana Relvas

Adam Abdin

Yiping Fang

Aakil Caunhye

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