Article
Engineering, Multidisciplinary
Honglin Li, Tongdan Jin, Clara Novoa
Summary: This paper proposes an integrated facility and microgrid location-allocation model for achieving low-carbon supply chain operations. The model considers the uncertainties in product demand and energy supply, and allocates production, inventory, transportation, generation, and energy transactions to lower the net supply chain cost.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Economics
Vijaya Kumar Manupati, Tobias Schoenherr, Stephan M. Wagner, Bhanushree Soni, Suraj Panigrahi, M. Ramkumar
Summary: This paper addresses the location-allocation problem for convalescent plasma bank facilities, presenting a novel plasma supply chain model considering stochastic parameters and unique features of the plasma supply chain. The objective is to determine optimal locations for plasma banks and allocate collection facilities to maintain proper plasma flow, while minimizing transportation time, supply chain network costs, and plasma wastage. The proposed model is validated through a comparison study and real-world case study in India, providing valuable decision support for policymakers.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Ankit Chouksey, Anil Kumar N. Agrawal, Ajinkya Tanksale
Summary: The present work on maternal healthcare in India focuses on addressing the limited availability and accessibility of related facilities. A mixed-integer linear programming formulation is proposed to determine the optimal number and location of these facilities and allocate mothers-to-be while minimizing costs. Additional valid inequalities are incorporated to reduce computational burden, and a sequential approach is proposed for further computational advantage. The results highlight the effectiveness and efficiency of the sequential approach and provide practical insights for establishing a mix of facilities. The application of the model in an Indian district demonstrates its suitability in the Indian context.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Dieter Weninger, Laurence A. W. Olsey
Summary: This paper studies the capacitated facility location problem with (partial) single-sourcing (CFLP-SS). A natural mixed integer formulation for the problem is proposed, and three variants of a Benders' type decomposition algorithm are presented. Computational comparisons are made with a commercial solver (CPLEX) on the original formulation, a CPLEX version of Benders, and a cut-and-solve approach developed specifically for CFLP-SS. The results show that the Benders' variants achieve speedups of between 1.2 and 3.7 for CFLP-SS when the percentage of clients requiring single-sourcing is less than or equal to 25%.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Jin Xin Cao, Zongxi Zhang, Yuguang Zhou
Summary: This paper integrates facility location and vehicle routing problems in biomass supply chains into a single problem, and proposes a hierarchical heuristic algorithm based on Tabu Search to address the computational complexity of LRP-BSCs. Computational examples demonstrate the effectiveness and efficiency of the proposed approach.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Mariana de Oliveira Lage, Claudia Aparecida Soares Machado, Cristiano Martins Monteiro, Clodoveu Augusto Davis Jr, Charles Lincoln Kenji Yamamura, Fernando Tobal Berssaneti, Jose Alberto Quintanilha
Summary: The rise of vehicle sharing has led to a shift from ownership-based private mobility to service usage as a sustainable urban transport alternative, reducing traffic congestion and parking demand while increasing transportation efficiency and reducing costs.
Article
Computer Science, Interdisciplinary Applications
Padraig Corcoran, Andrei Gagarin
Summary: The study introduces new methods for solving the problem of small-size k-dominating sets in graphs, with empirical evaluation showing that the new methods perform better for k > 1, especially for larger values of k.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Karmel S. Shehadeh, Ece Sanci
Summary: This paper considers a decision-maker who needs to determine a subset of locations to open facilities from a set of candidate sites and assign customer demand accordingly. The study focuses on a new setting where customer demand is bimodal, with two spatially distinct probability distributions. By constructing a scenario-wise ambiguity set and formulating a distributionally robust facility location model, the study seeks to minimize costs while considering the ambiguity and multimodality of demand distributions in strategic real-world problems.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Management
Beste Basciftci, Shabbir Ahmed, Siqian Shen
Summary: This paper discusses a distributionally robust facility location problem, highlighting the significant impact of facility location decisions on customer demand. The proposed decision-dependent distributionally robust optimization model demonstrates superior performance in profit and service quality across different scenarios.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
C. Filippi, G. Guastaroba, D. L. Huerta-Munoz, M. G. Speranza
Summary: This study addresses a Fair Facility Location Problem by minimizing the conditional beta-mean to balance system efficiency and fair treatment of users. A heuristic framework based on Kernel Search is proposed to solve the problem, with computational experiments validating the high-quality solutions produced by the framework.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Runze Zhao, Yiyong Xiao, Rui Luo, Ruiyi Yang, Shenghan Zhou, Siyue Zhang
Summary: This study develops a mathematical model based on MILP for the facility location problem. A greedy multiphase location method and a two-variable-based dynamic iterative partial optimization method are proposed to find the locations of new facilities. Experimental results show that MPL-MILP is suitable for small and medium-sized problems, while TVB-DIPO is more efficient for large-scale problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Civil
R. Roozbahani, B. Abbasi, S. Schreider, J. Iversen
Summary: This study addresses conflicts over water resources in transboundary basins by adding a stochastic modeling approach to consider uncertainty in streamflow distribution. By optimizing water allocation policies, the study aims to maximize stakeholders' profit while meeting environmental water requirements in the basin.
WATER RESOURCES MANAGEMENT
(2021)
Article
Economics
Weiwei Liu, Nan Kong, Mingzheng Wang, Lingling Zhang
Summary: In this study, a multi-commodity capacitated facility location problem with sustainability concerns and a complementarity demand function is investigated. It is shown that incorporating this demand function can lead to superior decisions both analytically and computationally. The problem is transformed into a 0-1 mixed-integer concave program using the piecewise-linear envelope method, and an efficient branch-and-refine algorithm with global convergence is proposed. Numerical examples demonstrate the impact of carbon emission limit and carbon trading on company decisions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Valeria Soto-Mendoza, Efrain Ruiz-y-Ruiz, Irma Garcia-Calvillo, Samuel Nucamendi-Guillen, Yajaira Cardona-Valdes
Summary: This study proposes the Collection and Delivery Location Open Routing Problem (CDLORP) to address a local Supply Chain problem. Two formulations, node-based and flow-based, are proposed to solve instances of the problem, with the branch-and-cut algorithm using the node-based formulation achieving the best results. The proposed approach shows efficacy in developing local supply chains for new products.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Tue Rauff Lind Christensen, Andreas Klose
Summary: This paper proposes an exact method for the capacitated facility location problem with convex and differentiable production costs functions, which deals directly with nonlinear costs using Lagrangian relaxation and subgradient optimization. By applying this method to a branch and bound algorithm, proven optimal solutions are found, showing superior performance compared to other solution methods for this problem in most cases.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Giulia Baruffaldi, Riccardo Accorsi, Riccardo Manzini
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2019)
Article
Agricultural Economics & Policy
Alessandro Tufano, Riccardo Accorsi, Riccardo Manzini
BRITISH FOOD JOURNAL
(2020)
Article
Green & Sustainable Science & Technology
Riccardo Accorsi, Giulia Baruffaldi, Riccardo Manzini
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2020)
Article
Automation & Control Systems
Alessandro Tufano, Riccardo Accorsi, Riccardo Manzini
Summary: This study focuses on the impact of tracing data in warehouse management systems beyond simple traceability purposes. By training classifiers to predict storage system attributes, the approach supports strategic warehouse design and shows managerial relevance for 3PL providers facing SKU rotation challenges. The availability of data affects prediction accuracy, validated through a case study involving 16 real companies.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Michele Ronzoni, Riccardo Accorsi, Lucia Botti, Riccardo Manzini
Summary: This paper presents a support-design framework for the cooperative robot system in labor-intensive manufacturing processes, exploring the impact of a cooperative robot in such systems. Using simulation to estimate payback and ergonomics benefits, the framework confirms that adopting a cooperative cobot at the end-of-line is affordable and ergonomically convenient.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Automation & Control Systems
Ilaria Battarra, Riccardo Accorsi, Riccardo Manzini, Sara Rubini
Summary: This paper presents a hybrid analytical-simulative model for designing AVS-RS and applies it to a case study in the beverage industry. The data-driven assessment supports decision-making and control of service time, waiting time, system throughput, and vehicle utilization.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Chemical
Riccardo Accorsi, Marco Bortolini, Mauro Gamberi, Beatrice Guidani, Riccardo Manzini, Michele Ronzoni
Summary: This paper proposes a novel framework using simulation to study the effects of environmental stresses on food products and packaging in the food supply chain. It also introduces a fully equipped physical twin for validation. Case studies demonstrate the flexibility of the framework and physical twin in improving the food supply chain.
JOURNAL OF FOOD ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Riccardo Accorsi, Susan Cholette, Riccardo Manzini, Lorenzo Mucci
Summary: This paper explores the tactical operations of a circular containers network in the food supply chain, examining the interplay between uncertainty, service level, and transportation. Through a linear programming model and simulations, the study demonstrates the potential for improving the current solution and quantifies the impact of washing service levels and supplier travel distances on network solution and costs.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Engineering, Multidisciplinary
Riccardo Manzini, Riccardo Accorsi, Emilio Ferrari, Andrea Gallo, Stefano Penazzi
Summary: This paper explores the impacts of reviewing the time to replace spare parts from the perspectives of reliability- and cost-based optimization. It introduces a hierarchical procedure for predicting reliability and scheduling maintenance tasks in order to reduce maintenance costs. The study investigates the role and criticality of data entry in the scheduling problem and provides a reliability-based analysis to determine the optimal time for spare parts replacements.
INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Riccardo Accorsi, Ilaria Battarra, Beatrice Guidani, Riccardo Manzini, Michele Ronzoni, Luca Volpe
Summary: This study examines the environmental sustainability of different secondary packaging systems (SPSs) using a Life Cycle Assessment (LCA) approach and highlights the advantages of reusable plastic containers compared to single-use systems. The results emphasize the sensitivity of LCA results to transport parameters and the importance of adopting supply chain digital twins to improve the accuracy of environmental profiles in complex logistic ecosystems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Proceedings Paper
Automation & Control Systems
B. Guidani, R. Accorsi, G. Lupi, R. Manzini, M. Ronzoni
Summary: This study proposes an IoT-based maintenance framework for optimizing the management of geographically distributed irrigation and drainage water grids. The framework integrates the centralized inventory system with maintenance and logistics operations through the use of barcode and RFID technologies. The framework is applied to a drainage water system in Italy, improving infrastructure visibility and enabling customized and data-driven preventive maintenance plans.
Proceedings Paper
Automation & Control Systems
M. Ronzoni, R. Accorsi, I Battarra, B. Guidani, R. Manzini, S. Rubini
Summary: This paper highlights the importance of adopting RPCs in the food catering supply chain to reduce packaging waste. It proposes a mixed integer linear programming model to optimize the matching between container flow and food supplies, taking into account logistic costs and the impact of container pooler's facilities network.
Proceedings Paper
Automation & Control Systems
I Battarra, R. Accorsi, R. Manzini, S. Rubini
Summary: This paper presents a set of indicators to measure the impact of storage policies and dispatching rules on space efficiency, and applies them to a real case in the food and beverage industry.
Article
Operations Research & Management Science
Andrea Gallo, Riccardo Accorsi, Renzo Akkerman, Riccardo Manzini
Summary: This paper presents the role of a cross-docking terminal in supply chain networks and proposes a solution to the uncertainty in truck arrivals using a stochastic MILP model and a tailored genetic algorithm. The results show significant improvements in the deterministic schedule and a reduction in penalty costs.
EURO JOURNAL ON TRANSPORTATION AND LOGISTICS
(2022)
Article
Business
Giulia Baruffaldi, Riccardo Accorsi, Riccardo Manzini, Emilio Ferrari
BUSINESS PROCESS MANAGEMENT JOURNAL
(2020)
