Article
Engineering, Industrial
Francois Larroche, Odile Bellenguez, Guillaume Massonnet
Summary: This study investigates an industrial lot-sizing and scheduling problem derived from the food industry, proposing the use of a clustering approach to approximate sequence-dependent setup times and effectively improve solutions found on industrial instances. The combination of this clustering method and two heuristic algorithms shows promise in obtaining good solutions within the allocated time frame.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Mahyar Alimian, Vahidreza Ghezavati, Reza Tavakkoli-Moghaddam, Reza Ramezanian
Summary: This paper introduces a novel Mixed-Integer Nonlinear Programming model for dealing with a parallel-line Capacitated Lot-Sizing Problem with sequence-dependent setup time and preventive maintenance planning. By developing MIP-based heuristic algorithms, optimal solutions were obtained and compared with traditional methods.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Josefa Mula, Manuel Diaz-Madronero, Beatriz Andres, Raul Poler, Raquel Sanchis
Summary: This paper proposes a model for solving a capacitated lot-sizing problem with sequence-dependent setups and parallel machines in a bi-part injection moulding context. The model is based on a real-world case study and computational results demonstrate its advantages over a single-machine model.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Management
Younsoo Lee, Kyungsik Lee
Summary: In this paper, new valid inequalities and extended formulations are proposed for the lot-sizing and scheduling problem with sequence-dependent setups. The new inequalities are derived by investigating the single-period sub-structure of the problem, and their facet-defining conditions are identified. The computational experiments demonstrate the effectiveness of the proposed inequalities and formulations in tightening the linear programming relaxation bounds.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Mehdi Charles, Stephane Dauzere-Peres, Safia Kedad-Sidhoum, Issam Mazhoud
Summary: This paper analyzes the negative impact of the end-of-horizon effect on solving the capacitated multi-item lot-sizing problem with setup costs and times on a rolling horizon. It proposes a new optimization problem that is less affected by the end-of-horizon effect and introduces a generation scheme to create new instances for analysis. Computational experiments are conducted to compare solutions and evaluate the relevance of the new instances on a rolling horizon.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Dariush Tavaghof-Gigloo, Stefan Minner
Summary: This study examines a stochastic capacitated lot-sizing problem and introduces an integrated mixed-integer linear program with service-level constraints. The integrated model sets dynamic safety stocks over replenishment cycles and shows promising performance in various capacity scenarios compared to stochastic dynamic programming and sequential approaches.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Margaretha Gansterer, Patrick Foedermayr, Richard F. Hartl
Summary: This study introduces a new problem class in cloud manufacturing involving multi-level batch planning, transshipments, and set up carry-over. The research addresses the collaboration and resource sharing challenges among agents, proposing a centralized planning approach to optimize lot sizing plans. Mathematical modeling and heuristic solution methods are used to demonstrate the potential cost savings and insights into decision variable interrelatedness.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Esra Koca, G. Irmak Koksalan
Summary: This study focuses on the single item capacitated lot sizing problem with multiple resources and periodic carbon emission constraints. While the uncapacitated version of the problem can be solved in polynomial time, the generalisation of the problem with resource capacities is generally NP-Hard. The authors present important structural properties for the optimal solutions and develop a polynomial time dynamic programming algorithm for solving the problem. The algorithm outperforms other methods in terms of efficiency and accuracy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Daryna Dziuba, Christian Almeder
Summary: This paper proposes a general two-step construction heuristic (2-SCH) to solve the classical single-level multi-item capacitated lot-sizing problem (CLSP) in production planning. By sorting customer orders and iteratively adding them to a preliminary production plan, different problem variations can be easily solved. Computational experiments show that the 2-SCH outperforms other construction heuristics in CLSP without setup times and performs better than a genetic programming approach and a construction heuristic in CLSP with setup times.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Manufacturing
Alexandre Forel, Martin Grunow
Summary: Academic approaches considering demand uncertainty in lot sizing are rarely used in practice. This paper proposes a stochastic lot-sizing methodology adapted to rolling-horizon processes, using the martingale model of forecast evolution. The combination of forecast evolution models and production recourse shows significant cost reduction compared to traditional deterministic planning.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Engineering, Industrial
Lotte van Hezewijk, Nico Dellaert, Tom Van Woensel, Noud Gademann
Summary: This paper studies the multi-item stochastic capacitated lot-sizing problem and applies the Proximal Policy Optimisation algorithm for solving it. The results show that the algorithm performs close to optimal solution in small instances and outperforms the benchmark solution in larger instances. Adjustments to the standard PPO algorithm are implemented to improve scalability. Additionally, the paper presents the growth in computation time and a method for explaining the algorithm's outcomes, and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Younsoo Lee, Kyungsik Lee
Summary: This paper proposes new integer optimization models for the lot-sizing and scheduling problem with sequence-dependent setups. It introduces a standard model and a novel time-flow model, and conducts computational experiments to demonstrate their competitiveness.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Hanen Ben Ammar, Wafa Ben Yahia, Omar Ayadi, Faouzi Masmoudi
Summary: This paper addresses a multi-item capacitated lot-sizing problem with setup times and backlogging, proposing two new versions of multiobjective binary particle swarm optimization algorithms and conducting experimental comparisons to evaluate the efficiency.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
David Lai, Yijun Li, Emrah Demir, Nico Dellaert, Tom Van Woensel
Summary: The Capacitated Lot-Sizing Problem (CLSP) and its variants are important optimization problems. This paper introduces perturbation strategies and a new procedure to improve solution quality. Combinations of the self-adaptive heuristics with Tabu search and lot elimination heuristics have been proven effective.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
Kevin A. Bunn, Jose A. Ventura
Summary: In this paper, a two-product multi-period dynamic lot-sizing problem with a fixed capacity constraint is analyzed. The objective is to minimize the overall cost of placing orders and carrying inventory over a finite planning horizon. The optimal arrangement of placing orders between consecutive regeneration periods is shown, and a pseudo-polynomial algorithm is proposed to solve the problem. The approach is scaled up to a three-product problem and can be generalized to any number of products as long as it is small.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Kamran Forghani, S. M. T. Fatemi Ghomi, Reza Kia
Summary: This article discusses the importance of Cell Formation (CF) and Group Layout (GL) in designing a cellular manufacturing system and proposes an integrated model that simultaneously considers energy consumption, assembly aspects, and process routing to minimize material handling costs and electric energy consumption. Through a case study, managerial insights are provided, and a hybrid solution approach is proposed for the complex problem. Computational results demonstrate the superiority of this hybrid approach over traditional methods.
ENGINEERING OPTIMIZATION
(2022)
Article
Transportation
Mehrdad Gharib, Seyyed Mohammad Taghi Fatemi Ghomi, Fariborz Jolai
Summary: This paper presents a mathematical model for post-disaster planning with human casualties, aiming to guide the proper utilization of emergency resources. The model focuses on maximizing patient survival probability, minimizing treatment completion time, and reducing operational costs. Two innovative meta-heuristic algorithms are proposed to tackle the NP-hardness of the problem, along with a case study and computational analysis for evaluation.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
Summary: This study introduces a supply chain resilience assessment framework that quantifies structural factors and their relationships to different resilience strategies, aiding decision makers in planning more effective resilience improvement actions.
OPERATIONAL RESEARCH
(2022)
Correction
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
OPERATIONAL RESEARCH
(2022)
Article
Multidisciplinary Sciences
Amir M. Fathollahi-Fard, Abbas Ahmadi, Behrooz Karimi
Summary: Research on healthcare logistics is crucial in both developing and developed countries, particularly during a pandemic like COVID-19. This study focuses on home healthcare logistics and services, proposing a multi-objective optimization model for sustainable and robust planning. An efficient heuristic algorithm is developed to tackle the complexity of the model. The findings provide valuable insights for achieving sustainable and robust home healthcare services.
Article
Green & Sustainable Science & Technology
Navid Salmanzadeh-Meydani, S. M. T. Fatemi Ghomi, Seyedhamidreza Shahabi Haghighi, Kannan Govindan
Summary: This paper presents a method for evaluating the sustainability performance of an organization using PCA, NT, and statistical analysis. The results show that the factors related to the outcomes are of great importance for organizational performance, and there has been a decline in sustainability performance in recent years.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Operations Research & Management Science
M. Jenabi, S. M. T. Fatemi Ghomi, S. A. Torabi, Moeen Sammak Jalali
Summary: This paper presents a stochastic programming model and a combined solution algorithm to address the integrated resource planning problem in electric power systems, taking into account uncertainties and implementing on IEEE test systems.
Article
Engineering, Industrial
Mojtaba Khorram Niaki, Fabio Nonino, Keivan Tafakkori, S. Ali Torabi, Iman Kazemian
Summary: This paper presents a theoretical model incorporating manufacturing competitive capabilities and contingency concepts and validates it through an empirical study on 105 manufacturing firms using AM. The study finds that production volume, material type, country's economic development, and firm's experience have contingency effects on AM's competitive capabilities.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Operations Research & Management Science
Azadeh Farsi, S. Ali Torabi, Mandi Mokhtarzadeh
Summary: The complexity of surgery scheduling negatively affects the efficiency of surgical staff and patient satisfaction. This paper proposes an integrated scheduling approach using a constraint programming model and a hybrid method of NSGA-II and MODA to minimize makespan and maximize satisfaction. Results show that the proposed method outperforms existing approaches in providing high-quality solutions efficiently.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
S. Fateme Attar, Mohammad Mohammadi, Seyed Hamid Reza Pasandideh, Bahman Naderi
Summary: This study focuses on addressing the Electric Vehicle Production Routing Problem through a mixed-integer linear programming model and developing two logic-based Benders Decomposition algorithms to solve the NP-hard problem. Experimental results demonstrate that the proposed algorithms outperform traditional MIP formulation and are efficient in finding high-quality solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Economics
Ali Ghavamifar, S. Ali Torabi, Mohammad Moshtari
Summary: This paper proposes a novel hybrid relief procurement contract that effectively coordinates the supply of relief items between a supplier and a humanitarian organization. By categorizing different provinces according to risk approach and conducting sensitivity analyses, the study demonstrates that using this contract can significantly improve the procurement process in humanitarian organizations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Chemical
Navid Salmanzadeh-Meydani, S. M. T. Fatemi Ghomi, Seyedhamidreza Shahabi Haghighi, Kannan Govindan
Summary: This paper presents a quantitative approach to evaluate the resilience of organizations in sudden-onset disasters, taking into account preparedness actions. The concept of the resilience triangle is expanded and the gradual improvement of functionality level is examined as a type of preparedness action. Measures of robustness and rapidity are used to indicate the loss of functionality and recovery time, while resourcefulness and redundancy measures are used to improve disaster resilience. Mathematical models are developed to assess the impact of these measures on resilience. The approach is applied to an oil and gas company and found to be effective in disaster response, planning, and mitigation.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Civil
F. Radan, S. M. T. Fatemi Ghomi, S. M. J. Mirzapour Al-e-hashem, Moeen Sammak Jalali
Summary: This paper addresses the maritime inventory routing problem (MIRP) and develops a mixed integer nonlinear programming model considering various constraints. Through studying ports in Iran and nearby areas, it is found that wind force and wave angle do not affect the routing, but only change the ship speed and costs. Tide, on the other hand, influences the route and increases costs.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Green & Sustainable Science & Technology
Erfan Shafiee Roudbari, S. M. T. Fatemi Ghomi, Ursula Eicker
Summary: The global population growth leads to increased demand for raw materials, while governments are implementing circular economy strategies in cities and industries. This paper presents a comprehensive model of a multi-echelon closed-loop supply chain network that operates under uncertainty. The model optimizes three contradicting objectives: maximizing profit, minimizing emissions, and maximizing job creation. The augmented epsilon constraint method is applied to improve the model. Applied in the clothing industry in Montreal, Canada, the results show the attractiveness of such a network for companies seeking profit, sustainability, and entrepreneurship.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Multidisciplinary
A. Mohammadbagher, S. Ali Torabi
Summary: This study addresses a new variant of the vehicle routing problem for a mixed fleet of electric and combustion vehicles under the presence of time windows and charging stations. A bi-objective mixed-integer programming model is developed to minimize cost and pollution level concurrently. The study presents a framework that can find a set of Pareto optimal solutions considering different combinations of electric and combustion vehicles.
INTERNATIONAL JOURNAL OF ENGINEERING
(2022)
