Article
Computer Science, Artificial Intelligence
R. Micale, C. M. La Fata, M. Enea, G. La Scalia
Summary: Dynamic production scheduling is a complex process that can become even more complicated due to the arrival of new orders. To address this issue, a mathematical model is proposed in this paper, and its application is illustrated through a real case study.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Chemistry, Multidisciplinary
Vincent F. Yu, Hsuan-Chih Kao, Fu-Yuan Chiang, Shih-Wei Lin
Summary: This paper explores the decision problem of Aggregate Production Planning (APP) and proposes a solution using the TOPSIS method to address the multi-objective APP problem. By transforming multiple objectives into two objectives, utilizing compromise control and a max-min operator to resolve conflicts, the effective resolution of decision problems is achieved.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Adrian Pascual, Sergio de-Miguel
Summary: This study examines the potential benefits of forest management treatments aimed at increasing mushroom supply using high-resolution forest mapping technology and spatial optimization methods. The results show that mushroom yield can increase by up to 18% through regular treatments of forest areas. The findings of this study have important implications for decision-makers in enhancing non-wood ecosystem services.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Behrouz Alizadeh Mousavi, Cathal Heavey, Chirine Millauer, Zhikang Tian, Hans Ehm
Summary: This article focuses on designing, developing, and testing a prototype Decision Support System (DSS) based on a mathematical model to assist human planners and improve demand fulfillment systems in tight supply situations, specifically in the semiconductor industry. By incorporating digitalization and supporting human intervention, our approach enhances the complex hierarchical supply chain planning systems. The developed mathematical model, applied as a web application decision support tool called the Regional Customer Allocation Support Tool (ReCAST), is shown to effectively support decision-making processes in a real-world context, as demonstrated through a semiconductor case study.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Operations Research & Management Science
Stephane Dauzere-Peres, Sigrid Lise Nonas
Summary: This paper presents a mathematical model for solving a scheduling problem in a company's production process for custom propellers. The model proposed by Nonas and Olsen in 2005 aimed to minimize total tardiness, but its solution time was too long for realistic problem instances. In this paper, a new time indexed formulation is proposed, which can solve most industrial problem instances in less than 10 minutes. Additionally, the paper considers limited storage capacity and proposes different methods to balance between total tardiness and maximum tardiness. The authors also discuss the extension of the model to include unexpected events.
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Marzieh Ghiyasinasab, Nadia Lehoux, Sylvain Menard, Caroline Cloutier
Summary: This paper proposes a production planning method for engineer-to-order systems and tests four optimization models. The study applies the models to a case considering 15 construction projects, providing decision support tools.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Agronomy
Carlos F. Brunner-Parra, Luis A. Croquevielle-Rendic, Carlos A. Monardes-Concha, Bryan A. Urra-Calfunir, Elbio L. Avanzini, Tomas Correa-Vial
Summary: Chile is one of the largest walnut producers and exporters globally, but there is a lack of scientific advice regarding decision support systems in the walnut sector. This study introduces a DSS for walnut processing decisions, aiming to maximize the benefits by considering the quality of raw materials. The implemented DSS in a Chilean walnut exporter resulted in a significant profit increase.
Article
Computer Science, Information Systems
Nida Rasheed, Shoab Ahmed Khan, Ali Hassan, Saria Safdar
Summary: This paper proposes a decision support framework for defining planning parameters for national crop production. The framework addresses gaps in policymaking and aims to maximize farmer's earnings while optimizing crop production.
Article
Engineering, Industrial
Robert Brachmann, Rainer Kolisch
Summary: This paper addresses the tactical production planning problem of engineer-to-order companies by extending the resource-constrained project scheduling problem to the multi-project case with flexible resource availability. The study demonstrates the value of flexibility in optimizing project schedules to minimize total weighted lateness and balance working time accounts within reasonable computation time.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Chemistry, Multidisciplinary
Jose Emmanuel Gomez-Rocha, Eva Selene Hernandez-Gress
Summary: A mixed integer, linear, multi-stage, stochastic programming model was developed for multi-product aggregate production planning, aiming to determine a feasible solution to real APP in a reasonable computational time by comparing different methods. The proposed model had the same solution as the original model but required fewer iterations and CPU time, providing an advantage in real APP.
APPLIED SCIENCES-BASEL
(2022)
Review
Computer Science, Interdisciplinary Applications
Eduardo Guzman, Beatriz Andres, Raul Poler
Summary: Production planning, scheduling, and sequencing are crucial for manufacturing companies to meet the market demands efficiently. Recent research has focused on addressing the challenges posed by new and changing market demands, and has identified future research opportunities.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Environmental Sciences
Hassan Tavakol-Davani, Michael Violante, Saeed Manshadi
Summary: This multidisciplinary research aims to assess and reduce the probability of utility pole failure caused by flooding through an optimization framework. By utilizing conventional hydrological, hydrostatic, and geotechnical calculations, the flow rates that lead to utility pole overturn can be determined, and the most cost-efficient subterranean pipe network configuration can be created to redirect flood waters. The implementation of this optimization model in different watersheds demonstrated its effectiveness in preventing utility pole failure.
Article
Engineering, Electrical & Electronic
Simona Skere, Ausra Zvironiene, Kazimieras Juzenas, Stase Petraitiene
Summary: Small and medium-sized engineering production companies often struggle with challenges related to the rapid changes in availability of workforce, materials, and equipment. A metal processing company in Lithuania conducted a four-month observation to develop solutions for the most common problems, particularly focusing on the development of a computerized employee centered system to improve task allocation. This algorithm, tested and proven effective during the observation, can be applied universally in different SMEs within the engineering production sector.
Article
Environmental Sciences
C. Dionisio Perez-Blanco, Laura Gil-Garcia, Pablo Saiz-Santiago
Summary: This paper presents a hierarchical framework that connects hydrologic and economic modules to assess the economic repercussions of strengthening irrigation quotas to achieve minimum environmental flows. Results show that reductions in agricultural water allocations lead to incremental profit and employment losses in irrigated agriculture, particularly during extreme droughts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Business
Masoud Rahiminezhad Galankashi, Najmeh Madadi, Syed Ahmad Helmi, Abd Rahman Abdul Rahim, Farimah Mokhatab Rafiei
Summary: This article proposes a multiobjective mathematical model to optimize the multiperiod aggregate production planning of multiproduct companies. By integrating lean manufacturing with the production planning, the model aims to optimize cost, lead time, waste minimization, and product quality. The sensitivity analysis shows that lean weighting of the objective functions provides better results compared to equal weighting.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Review
Engineering, Industrial
Tharcisio Cotta Fontainha, Adriana Leiras, Renata Albergaria de Mello Bandeira, Luiz Felipe Scavarda
Summary: This study aims to identify and analyze the satisfactions of the main stakeholders involved in the disaster response process. Through a structured review and analysis of a real disaster response, the study reveals the wants and needs of stakeholders and explores the relationships between resource flow, coordination, response plans, and interests.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Engineering, Industrial
Rodrigo Goyannes Gusmao Caiado, Luiz Felipe Scavarda, Luiz Octavio Gaviao, Paulo Ivson, Daniel Luiz de Mattos Nascimento, Jose Arturo Garza-Reyes
Summary: Industry 4.0 aims to integrate disruptive technologies with manufacturing systems, and maturity models are valuable methodologies to track the progress of these initiatives. However, there is a lack of empirical work on the development of I4.0 maturity models specific to supply chain management. This study develops a fuzzy logic-based I4.0 maturity model for OSCM, validated through a real application in a multinational manufacturing organization, providing a practical diagnostic tool for measuring digital readiness in manufacturing industries.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Environmental
Bruno Duarte Azevedo, Luiz Felipe Scavarda, Rodrigo Goyannes Gusmao Caiado, Maryegli Fuss
Summary: This study compared waste management practices between a German and a Brazilian city, finding that Germany's system was more effective than Brazil's. The three pillars of the German solid waste management system – clear laws, regular public campaigns, and fee methodology – were highlighted as crucial for efficient waste management.
Article
Multidisciplinary Sciences
Marcelo Xavier Seeling, Tobias Kreuter, Luiz Felipe Scavarda, Antonio Marcio Tavares Thome, Bernd Hellingrath
Summary: This paper aims to analyze the global Sales and Operations Planning process, identifying steps to support consolidated business planning in worldwide operations and large-scale supply chains. The research findings characterize the S&OP process for global operations and highlight challenges related to synchronizing global subsidiaries' efforts and managing a large amount of information. Executives, especially from multinational manufacturers, can benefit from the study's insights to enhance their global planning efforts.
Article
Management
Tobias Kreuter, Christian Kalla, Luiz Felipe Scavarda, Antonio Marcio Tavares Thome, Bernd Hellingrath
Summary: This paper introduces a five-step Enterprise Architecture Management approach to guide the development and implementation of Sales and Operations Planning (S&OP) designs. The research findings demonstrate the suitability of the proposed EAM approach from a contingency theory perspective, contributing to a better understanding of S&OP contingency. The approach offers concrete guidance for managers to face context-specific challenges and improve S&OP effectiveness.
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Rodrigo Goyannes Gusmao Caiado, Luiz Felipe Scavarda, Bruno Duarte Azevedo, Daniel Luiz de Mattos Nascimento, Osvaldo Luiz Goncalves Quelhas
Summary: Industry 4.0 (I4.0) is a global movement to improve productivity and efficiency in operations and supply chain management. This paper proposes an S-OSCM4.0 framework to help organizations achieve sustainable development and integration of I4.0 in supply chain management, in line with the 2030 Agenda.
Article
Green & Sustainable Science & Technology
Eduardo Machado, Luiz Felipe Scavarda, Rodrigo Goyannes Gusmao Caiado, Antonio Marcio Tavares Thome
Summary: The integration of Industry 4.0 and sustainability in supply chains has become a relevant topic attracting interest from academics and practitioners. This study reveals the main barriers and enablers for micro, small, and medium enterprises (MSMEs) to implement this integration, highlighting the complex relationships among them.
Article
Business
Marcelo Seeling, Tobias Kreuter, Luiz Felipe Scavarda, Antonio Marcio Tavares Thome, Bernd Hellingrath
Summary: This paper explores the role of finance in the S&OP process through case studies. The findings demonstrate that finance adds value by enabling decisions on costs, margins, and investment returns. Finance also strengthens S&OP by assessing demand and supply-related risks and facilitating comparisons with budgets. The paper emphasizes the importance of finance's participation in supporting successful S&OP implementations.
BUSINESS PROCESS MANAGEMENT JOURNAL
(2022)
Proceedings Paper
Engineering, Industrial
Philipe da Silva Simoes, Luiz Felipe Scavarda, Taciana Mareth, Rodrigo Goyannes Gusmao Caiado
Summary: The Lean Six Sigma approach has been driving quality and performance improvement in organizations worldwide. The success of its implementation depends on the organization's maturity level, and Lean Maturity Models can provide guidance for continuous improvement.
INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXVIII IJCIEOM
(2022)
Proceedings Paper
Engineering, Industrial
Bruna Cristina Siqueira Kaiser, Renan Silva Santos, Rodrigo Goyannes Gusmao Caiado, Luiz Felipe Scavarda, Paulo Ivson Netto
Summary: This paper aims to combine fuzzy clustering and Data Envelopment Analysis models to evaluate the efficiency of public transport vehicles by analyzing data from embedded sensors in buses in Rio de Janeiro. This approach can help decision-makers and consumers better understand the relationship between energy consumption and bus efficiency, and develop appropriate policies and strategies.
INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXVIII IJCIEOM
(2022)
Proceedings Paper
Engineering, Industrial
Guilherme Henrique de Paula Vidal, Rodrigo Goyannes Gusmao Caiado, Luiz Felipe Scavarda, Renan Silva Santos
Summary: This study demonstrates the effectiveness of using a Support Vector Machine model in predicting maintenance parts demand for a railroad logistic operator, showing significant improvement in demand forecast performance and enhancing the reliability of purchasing and stock maintenance processes.
INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXVIII IJCIEOM
(2022)
Article
Operations Research & Management Science
Jessica Maldonado Paes, Luiz Felipe Scavarda, Paula Ceryno, Eduardo Machado
Summary: The main goal of this research is to provide a preliminary CMO model for sustainable logistics incorporating the HTO dimensions. The results highlight the importance of the relationships and interactions between the HTO dimensions for the success of sustainable logistics and their contribution to economic, social, and environmental performance. However, there is a lack of studies in logistics that integrate the HTO dimensions from the perspective of Triple Bottom Line.
BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2022)
Review
Management
Tobias Kreuter, Luiz Felipe Scavarda, Antonio Marcio Tavares Thome, Bernd Hellingrath, Marcelo Xavier Seeling
Summary: This paper evaluates empirical and theoretical perspectives in Sales and Operations Planning (S&OP) through a systematic literature review of 292 publications. The findings reveal three main research streams, an upward trend in external general theory usage, and initial signs of internal theory development in S&OP. The study calls for more exploratory research and advocates for the integration of design science approach to include practitioners in academic research.
REVIEW OF MANAGERIAL SCIENCE
(2022)
Article
Management
Tharcisio Cotta Fontainha, Leandro de Oliveira Silva, Wesley Moraes de Lira, Adriana Leiras, Renata Albergaria de Mello Bandeira, Luiz Felipe Scavarda
Summary: This paper analyzes existing process models for disaster response operations and develops a reference process model by combining different perspectives. The suitability and reuse of the model as a guide in operations planning are discussed, and a research agenda is offered.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Operations Research & Management Science
Luciana de Oliveira Pedra Romao, Luis Felipe Scavarda, Marcelo Xavier Seeling
Summary: This study characterizes the application of the Sales and Operations Planning (S&OP) process in an audiovisual content production industry with an Engineer-To-Order (ETO) production model through an exploratory case study, showing that S&OP can be a key process in managing business complexity and achieving company objectives even in this unique context.
BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2021)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)