Integrated lot-sizing and scheduling: Mitigation of uncertainty in demand and processing time by machine learning

M Rohaninejad, M Janota, Z Hanzálek - Engineering Applications of …, 2023 - Elsevier
Production rescheduling is one of the most challenging problems in production
management, in which some parameters, such as customer demand and job processing …

[HTML][HTML] Clustering and routing in waste management: A two-stage optimisation approach

M Caramia, DM Pinto, E Pizzari, G Stecca - EURO Journal on …, 2023 - Elsevier
This paper proposes a two-stage model to tackle a problem arising in Waste Management.
The decision-maker (a regional authority) is interested in locating sorting facilities in a …

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

RA Campos, AM Caunhye, D Alem… - International Journal of …, 2024 - Taylor & Francis
We study a production lot-sizing problem inspired by a veterinary pharmaceutical plant in
which demands are uncertain. First, we develop a deterministic capacitated lot-sizing model …

[HTML][HTML] Optimal Network Design for Municipal Waste Management: Application to the Metropolitan City of Rome

M Boresta, AL Croella, C Gentile, L Palagi, DM Pinto… - Logistics, 2024 - mdpi.com
Background: This work is part of the regional research project PIPER—Intelligent Platform
for the Optimization of Recycling Operations, which aims to develop a network design model …

Bridging operations research and machine learning for service cost prediction in logistics and service industries

M Boresta, DM Pinto, G Stecca - Annals of Operations Research, 2024 - Springer
Optimizing shared resources across multiple clients is a complex challenge in the
production, logistics, and service sectors. This study addresses the underexplored area of …

A data-driven multi-channel supply chain multi-factory collaborative production planning problem

S Wang, G Yang, S Liu - Soft Computing, 2024 - Springer
Proper production planning is significantly for enhancing revenue and productivity of
manufacturing companies. This paper focuses on multi-channel supply chain multi-factory …

A Fuzzy Multi‐Objective Mathematical Model for Supplier Evaluation in a Reliable Supply Chain considering Different Risk Levels

Y Tian, S Bahrami - Discrete Dynamics in Nature and Society, 2022 - Wiley Online Library
One of the advantages of sustainable competition for manufacturing systems is to make
supply chain activities more efficient and effective. One of the major parts of these activities …

Optimizing the cryptocurrency investment portfolio in conditions of uncertainty using the method of Data Envelopment Analysis-Robust programming

A Ghiasi, A Hamidieh - Financial Management Strategy, 2023 - jfm.alzahra.ac.ir
Optimizing the investment portfolio is one of the vital issues in investment management. The
various fluctuations of the financial markets and the uncertainty of the parameters make …

Mathematical optimization and learning models to address uncertainties and sustainability of supply chain management

D Pinto - 2023 - iris.uniroma1.it
As concerns about climate change, biodiversity loss, and pollution have become more
widespread, new worldwide challenges deal with the protection of the environment and the …

Подсистема анализа данных как способ автоматизации процессов мониторинга и анализа цен интернет-магазинов

AV Vsevolodova, OV Kartasheva - … информационные технологии и …, 2023 - sitito.cs.msu.ru
Аннотация В статье представлена разработка подсистемы для автоматизации
процессов мониторинга и анализа цен интернет-магазинов. Актуальность …