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The definition of lot sizes represents one of the most important decisions in production planning. Lot-sizing turns into an increasingly complex set of decisions that requires efficient solution approaches, in response to the time-consuming exact methods (LP, MIP). This paper aims to propose a Tabu list-based algorithm (TLBA) as an alternative to the Generic Materials and Operations Planning (GMOP) model. The algorithm considers a multi-level, multi-item planning structure. It is initialized using a lot-for-lot (LxL) method and candidate solutions are evaluated through an iterative Material Requirements Planning (MRP) procedure. Three different sizes of test instances are defined and better results are obtained in the large and medium-size problems, with minimum average gaps close to 10.5%.

Applied sciences, 2019-04, Vol.9 (7), p.1464

A Tabu List-Based Algorithm for Capacitated Multilevel Lot-Sizing with Alternate Bills of Materials and Co-Production Environments

The contributions of Operations Research (OR) in the healthcare field have been extensively studied in the scientific literature since the 1960s, covering decision support tools with operational, tactical, and strategic approaches. The aim of this article is to analyze the historical development of the application of OR models in healthcare. The application trends for optimization, planning, and decision- making models are studied through a descriptive literature review and a bibliometric analysis of scientific papers published between 1952 and 2016. An upward trend in the usage of operational models is observed with the predominance of resource optimization approaches and strategic decision-making for public health.

Dyna (Medellín, Colombia), 2017, Vol.84 (201), p.129-137

Operations research as a decision-making tool in the health sector: A state of the art

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Algorithms maintains its standards for the high quality of its published papers. Thanks to the cooperation of our reviewers, in 2020, the median time to first decision was 17 days and the median time to publication was 40 days. Abbruzzo, Antonino Lipowski, Adam Abdalla, Rifaat Lirkov, Ivan Dimov Abdellatif, Mohamed Liu, Chang Abreu, António Liu, Chenglin Adacher, Ludovica Liu, Huafeng Adhi Tama, Bayu Liu, Qingfeng Alanqar, Anas Liu, Tong Albu, Felix Liu, Wei-Min Alexan, Wassim Liu, Yajing Alger, Nick Livieris, Ioannis E. Al-Gumaei, Yousef Lizcano, David Ali, Sajid Loddo, Andrea Alicea, Bradly Loperfido, Nicola Allouche, David Lopez-Cruz, Irineo Almeida Mendes, Mateus Daniel López-Núñez, Alejandro Almeida, Thiago Lorig, Fabian Alonso, Miguel A. Lotfian, Saeid Al-qaness, Mohammed A. A. Lou, Yang (Felix) Al-Rifaie, Mohammad Majid Loukrezis, Dimitrios Al-Sadoon, Mohammed Louza, Felipe Alsharif, Mohammed H. Loza Mencía, Eneldo Amancio, Diego Lu, Min Amaral, Marco Antonio Lucia, Parussini Amezquita Sanchez, Juan Pablo Lucille, Alonso Amin, Sikandar Luo, Hanjiang Amirghasemi, Mehrdad Ma, Will Amirshahi, Seyed Ali Machura, Lukasz Andronache, Ion C. Maciel, Carlos Dias Anselm, Blumer Madleňák, Radovan Antunes, Mário Madokoro, Hirokazu Apruzzese, Giovanni Madsen, Chad Aranda-Corral, Gonzalo A. Mahmud, M. Rizaludin Aryal, Jagannath Majdara, Aref Asensi, Adrià Makris, Christos Aslam, Muhammad Malinowska, Agnieszka Aßmus, Marcus Malinowski, Marek T. Audrito, Giorgio Mambretti, Joe Augusto, Adriano Mancini, Simona Ávalos, Juan Gerardo Mandarawi, Waseem Azam, Naveed Ahmed Mandric, Igor Babii, Andrii Manis, George Bacolla, Albino Mantzaris, Alexander V. Baek, Joong-Hwan Mao, Yao Bai, Song Marcinkiewicz, Michal Baioletti, Marco Margaris, Dionisis Baker, Thar Mari, Federico Balado Frías, Jesús Mariani, Maria Balaras, Constantinos A. Marongiu, Jean Christophe Bannach, Max Marović, Ivan Baptista, Marcia Marques, Antonio Garcia Barabino, Benedetto Marrero, Domingo Baranovskii, Evgenii S. Marszalek, Zbigniew Barbosa, Ramiro S. Martínez López, José Israel Barbucha, Dariusz Martínez López, Luis Barile, Sergio Martino, Luca Barthelme, Simon Martyshko, Peter S. Barton, Michael Maru, Marcia M. Basak, Sanchita Marx, Edgard Basan, Elena Maskeliunas, Rytis Basler, Georg Mata Miquel, Christian Bautu, Elena Matevossian, Hovik Bawazeer, Saleh A. Matouk, Ahmed Ezzat Bazighifan, Omar Maturo, Fabrizio Bazydło, Grzegorz Mawlana, Mohammed Beham, Andreas Mayer, Joceli Belzunce, Martin McAlinn, Kenichiro Benítez, Rafael McKendall, Alan Bentes, Carlos McPheron, Benjamin D. 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Farquharson, Colin Sadollah, Ali Feld, Sebastian Saeed, Nagham Fernández Fernández, Francisco Javier Safari, Nima Fernández-Isabel, Alberto Safonov, Ilia Fernau, Henning Sahin, Bekir Ferreira, Ricardo Saiko, Guennadi Ferri, Massimo Sajavičius, Svajūnas Feschet, Fabien Sałabun, Wojciech Fieno Da Silva, Alexandre Salamanca, Juan Jesús Figueroa, Karina Saleh, Adel Fijorek, Kamil Salehi, Saeed Fiorini, Rodolfo A. Salido Tercero, Jesús Firšt Rogale, Snježana Salimi, Mehdi Fish, Andrew Salmela, Leena

Algorithms, 2021-01, Vol.14 (2), p.33

Acknowledgment to Reviewers of Algorithms in 2020

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A Tabu List-Based Algorithm for Capacitated Multilevel Lot-Sizing with Alternate Bills of Materials and Co-Production Environments

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Operations research as a decision-making tool in the health sector: A state of the art

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Acknowledgment to Reviewers of Algorithms in 2020

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