Article
Management
Marcelus Fabri, Helena Ramalhinho
Summary: This work focuses on the internal logistics processes in SEAT S.A, a car assembling company. It proposes an integer linear programming model and a simulation-based iterated local search algorithm to solve the in-house logistics routing problem. The experimental results demonstrate the effectiveness of the proposed methods in improving the company's processes.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Leonie M. Johannsmann, Emily M. Craparo, Thor L. Dieken, Armin R. Fugenschuh, Bjoern O. Seitner
Summary: The study focuses on optimizing the use of spare parts in a limited warehouse space for military operations to address parts failures. It utilizes a two-stage stochastic programming model and scenario-based approach.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Energy & Fuels
Hilal Yilmaz, Betul Yagmahan
Summary: Equipping highways with charging stations is essential for convenient travel with electric vehicles between cities and countries. A new binary integer linear programming model is presented in this article to determine the minimum required charging stations and their locations, considering the minimum driving range for all possible paths in a transportation network. Two versions of the model are introduced and validated through computational experiments, showing efficient and practical solutions for large-scale problems in a short CPU time.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Amirhossein Baghestani, Mohammadhossein Abbasi, Saeed Rastegar, Amir Reza Mamdoohi, Atoosa Afaghpoor, Mahmoud Saffarzadeh
Summary: The paper proposes a conceptual framework for finding the optimal location and capacity for a logistics village establishment using mixed-integer linear programming (MILP). The model considers various logistics operations and their capacities as distinct decision variables. The results show that the optimal location has the maximum total profit.
Article
Transportation Science & Technology
Karmel S. Shehadeh, Emily L. Tucker
Summary: This study addresses the problem of determining warehouse locations and prepositioning relief item inventory in preparation for a disaster season. It proposes two-stage stochastic programming and distributionally robust optimization models to tackle uncertainty. The experimental results show the potential of these methods in improving computational efficiency and operational performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Economics
Juyoung Wang, Mucahit Cevik, Saman Hassanzadeh Amin, Amir Ali Parsaee
Summary: The study focuses on a reverse logistics network for household hazardous wastes, utilizing multiobjective mixed-integer deterministic and stochastic mathematical models to optimize transportation costs, reduce risks, maximize convenience, and enhance participation. By proposing an optimization framework and using a testbed, the analysis aims to address waste management challenges.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Rodolfo Mendoza-Gomez, Roger Z. Rios-Mercado
Summary: This paper addresses the problem of locating primary health care centers that integrate outpatient medical services and a set of complementary services. It aims to maximize the coverage of the complementary services while constraining the total travel distance for the outpatient service allocation. The study presents two bi-objective programming models to identify the trade-off between the total travel distance and different budgets. A case study based on the public health care system of the State of Mexico in Mexico is conducted to assess the trade-off. The proposed models are shown to be useful in the empirical work.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Agricultural Engineering
Jin Xin Cao, Xiangting Wang, Jiachen Gao
Summary: Biomass as an important renewable energy source has gained attention, but inefficient biomass logistics systems hinder biomass utilization. This study proposes a hybrid heuristic algorithm to address the biomass resource location-routing problem, and tests its effectiveness and efficiency through computational examples.
BIOSYSTEMS ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Hatice Calik, Ammar Oulamara, Caroline Prodhon, Said Salhi
Summary: This paper focuses on finding the optimal locations of recharging stations and routing electric vehicles in a goods distribution system. A novel mathematical formulation and an efficient Benders decomposition algorithm are proposed to minimize total costs. The study provides insights for both management and methodology in solving environmental logistics problems efficiently.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Software Engineering
Ilias Zadik, Miles Lubin, Juan Pablo Vielma
Summary: We investigate the structural geometric properties of mixed-integer convex representable (MICP-R) sets and compare them with the class of mixed-integer linear representable (MILP-R) sets. We provide examples of MICP-R sets that are countably infinite unions of convex sets with countably infinitely many different recession cones, and countably infinite unions of polytopes with different shapes. These examples highlight the differences between MICP-R sets and MILP-R sets.
MATHEMATICAL PROGRAMMING
(2023)
Article
Computer Science, Interdisciplinary Applications
Peng Wu, Yun Wang, Junheng Cheng, Yantong Li
Summary: This paper investigates a new bi-objective parallel machine scheduling and location problem and proposes a more efficient solution method. Experimental results show that the proposed method obtains more Pareto-optimal solutions and is faster in computation.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Jan-Erik Justkowiak, Erwin Pesch
Summary: This paper focuses on the order-and rack-sequencing problem in robotic mobile fulfillment systems. It presents a novel linear programming formulation and preprocessing techniques to solve medium-sized instances quickly and prove optimality. For large real-world instances, a three-stage heuristic solution procedure is provided, which delivers competitive solutions within a short run time. Computational experiments and a comparative study verify the effectiveness of the proposed approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Asma Mecheter, Shaligram Pokharel, Faris Tarlochan, Fujio Tsumori
Summary: This research proposes an optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The model focuses on minimizing lead times and assessing the effectiveness of different manufacturing methods for spare parts with varying complexity. The findings show that AM is cost-effective for spare parts with high geometry complexity, while CNC-based manufacturing is economically feasible for spare parts with low geometry complexity and large sizes.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Management
Reza Rahmati, Hossein Neghabi, Mahdi Bashiri, Majid Salari
Summary: This article proposes a two-stage stochastic profit-maximizing hub location problem with uncertain demand and considers various carbon regulations. The proposed models use an enhanced sample average approximation method which incorporates k-means clustering and self-organizing map clustering algorithms to obtain suitable scenarios. The L-shaped algorithm is employed for efficient solving. The computational analysis using Australian Post data demonstrates that all carbon regulations can reduce carbon emissions, with carbon cap-and-trade policy achieving better economic results for transportation. The results also show that the self-organizing map clustering algorithm within the enhanced sample average approximation method is superior to k-means clustering and classical sample average approximation algorithms.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Management
Evren Guney, Markus Leitner, Mario Ruthmair, Markus Sinnl
Summary: Influence maximization aims to identify key individuals in a network to maximize the number of individuals reached through information propagation. It can be modeled as a stochastic maximal covering location problem based on the probabilistic independent cascade model. Preprocessing tests and efficient algorithms for separating Benders cuts play crucial roles in the branch-and-cut algorithm.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Simon Lidberg, Tehseen Aslam, Leif Pehrsson, Amos H. C. Ng
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2020)
Article
Engineering, Industrial
Ainhoa Goienetxea Uriarte, Amos H. C. Ng, Matias Urenda Moris
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Green & Sustainable Science & Technology
Masood Fathi, Amir Nourmohammadi, Morteza Ghobakhloo, Milad Yousefi
Article
Engineering, Industrial
Kaveh Amouzgar, Amir Nourmohammadi, Amos H. C. Ng
Summary: This study addresses the multi-objective optimisation tool-indexing problem by considering changes that must be made to current industrial settings as an additional objective, in addition to minimising tool-indexing time. A novel mathematical model and approach are proposed, and a modified strength Pareto evolutionary algorithm combined with a customised environment-selection mechanism is suggested to achieve a uniform distribution of solutions. Results show a significant reduction in non-machining time and tradeoff solutions for efficient tool management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Green & Sustainable Science & Technology
Morteza Ghobakhloo, Masood Fathi, Mohammad Iranmanesh, Parisa Maroufkhani, Manuel E. Morales
Summary: This study conducted a systematic literature review to explore the concept, scope, definition, functionality, and sustainability implications of Industry 4.0. The findings suggest that Industry 4.0 transformation could address pressing issues in manufacturing-economic development and provide future research directions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Amir Nourmohammadi, Masood Fathi, Amos H. C. Ng
Summary: This study investigates the assembly line balancing problem (ALBP) considering human-robot collaboration (HRC) and proposes a mixed-integer linear programming (MILP) model and a simulated annealing (SA) algorithm with customized solution representation and neighborhood search operators. The results show that allowing multiple humans and robots to collaborate in tasks significantly improves the productivity of the assembly line.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Mathematics
Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng
Summary: In this study, an enhanced simulation-based multi-objective optimization (SMO) approach with customized simulation and optimization components is proposed. It addresses work task and resource allocations to workstations together with buffer capacity allocation in a reconfigurable manufacturing system (RMS) to simultaneously maximize throughput and minimize total buffer capacity under fluctuating production volumes and capacity changes.
Article
Engineering, Manufacturing
Amir Nourmohammadi, Amos H. C. Ng, Masood Fathi, Janneke Vollebregt, Lars Hanson
Summary: This study addresses the mixed-model assembly line balancing problem by considering worker posture. An enhanced non-dominated sorting genetic algorithm is developed to find promising Pareto front solutions.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Henrik Smedberg, Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Sunith Bandaru, Amos H. C. Ng
Summary: This study introduces a knowledge-driven optimization (KDO) approach to accelerate convergence in reconfigurable manufacturing systems (RMS) applications. By generating generalized knowledge from previous scenarios to improve the optimization efficiency of new scenarios, the KDO approach leads to convergence rate improvements in a multi-part flow line RMS.
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Iman Morshedzadeh, Amos H. C. Ng, Manfred Jeusfeld, Jan Oscarsson
Summary: Virtual engineering requires maintenance in a PLM system to manage the increasing rate and diversity of models being created. This research proposes an extension to PLM systems by designing a new information model to effectively manage historical information related to virtual models and engineering activities.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
