Article
Engineering, Chemical
Marcela Malindzakova, Patrik Garaj, Jarmila Trpcevska, Dusan Malindzak
Summary: This article presents a systematic framework that combines the ABC method and the MRP planning method in Lean management. The benefits of implementing this combination are demonstrated through a case study, showing significant reduction in changeover downtimes and financial savings.
Article
Green & Sustainable Science & Technology
M. Assid, A. Gharbi, A. Hajji
Summary: The study focuses on the production planning and control problem within a hybrid manufacturing-remanufacturing system, proposing control policies to optimize long-term costs. Through simulation-optimization approach, the control policies are evaluated and compared, showing practicality in managing remanufacturing, manufacturing, and switching operations simultaneously.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Pravin P. Tambe, Makarand S. Kulkarni
Summary: This paper presents an integrated planning approach for the three core functions of shop floor management, namely maintenance, production scheduling, and quality. Mathematical models and a flow chart are proposed, and metaheuristic approaches are used for optimization. Simulation studies and experimental analysis demonstrate the improved operational performance and cost-effectiveness of the integrated planning approach.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Economics
Esma Birisci, Ronald G. McGarvey
Summary: This study explores production planning in all-you-care-to-eat food service operations by considering forecast uncertainty and deriving strategies to minimize food waste. The results provide insights for food service operators to modify production levels and manage the tradeoff between demand shortfall and food waste.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Engineering, Industrial
Milad Elyasi, Basak Altan, Ali Ekici, Okan Orsan Ozener, Ihsan Yanikoglu, Alexandre Dolgui
Summary: This paper examines the impact of the global crisis on supply chain resilience and suggests the implementation of flexible/hybrid manufacturing systems as a viable strategy. Using Vestel Electronics as a case study, the research proposes a flexible/hybrid manufacturing production setup to address uncertain demand. By employing a scenario-based approach and a heuristic algorithm based on column generation, the optimization model demonstrates effective and cost-efficient solutions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Environmental Studies
Francesco Zullo, Gianni Di Pietro, Chiara Cattani, Cristina Montaldi
Summary: In a time of global disruption caused by wars and pandemics, there is a growing focus on the energy and food independence of nation-states. Achieving these goals will take time, but land use planning must consider these important aspects. The excessive development of settled areas hinders effective land use regardless of geographic location, demographic dynamics, and the value of the administered territory. This study aims to analyze the impact of proposed transformations on agricultural production in the provinces of Modena and Reggio nell'Emilia, while also suggesting solutions for promoting sustainability in these areas of high agri-food value.
Article
Management
B. Gerrits, E. Topan, M. C. Van Der Heijden
Summary: This study aims to improve the performance of multi-echelon, closed loop spare part supply chains through operational interventions based on real-time status information. Proactive interventions, including lateral transshipments, emergency shipments, stock reservations, expediting part repairs, and early new buys of parts, are found to have the most impact in reducing costs. Communicating losses in the supply chain for early new buys has a positive impact on fill rates at negligible costs. Expedite repair and stock reservations using the proposed rules are not profitable. The results are based on simulation experiments using data from a global IT company in Germany.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Pedram Farghadani-Chaharsooghi, Pooria Kamranfar, Mohammad Seyed Mirzapour Al-e-Hashem, Yacine Rekik
Summary: This paper addresses the gap in literature related to the impact of workforce planning on costs and productivity in Production Routing Problem. By designing a novel framework to integrate decisions, the study demonstrates the effectiveness and efficiency of the new hybrid method in both real case and literature instances, providing interesting managerial insights.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Karthick Gopalswamy, Reha Uzsoy
Summary: Several concave clearing functions used in production planning models can be reformulated as conic programs, which provide more accurate and efficient solutions for dual prices estimation compared to linear programming. The CP formulation outperforms LP solutions in terms of nervousness.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Hubert Missbauer, Reha Uzsoy
Summary: Production planning and control systems are crucial for the competitiveness of manufacturing firms and their ability to leverage technological advancements. The research on order release function within PPC systems reveals a need for optimization models and further understanding of the dynamic response of production units. There are still unresolved research questions in this area that warrant further exploration.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Mahtab Karimpoor, G. Reza Nasiri, Sayyed Ehsan Monabbati
Summary: This paper examines two different scenarios of supply chain management under uncertain conditions, focusing on centralized decision-making and integrated coordination. The study shows that capacity planning plays a critical role in inventory management and cost reduction, while limited access to transport fleet requires effective planning and management measures to mitigate stock-out effects.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Falguni Mahato, Chandan Mahato, Gour Chandra Mahata
Summary: This study aims to develop a sustainable smart manufacturing model by reducing waste and controlling pollution in the production system. Two different production models are proposed to decrease pollution levels, and an application experiment is conducted with three pollution control mechanisms. The results show that the model with variable pollution costs is more sustainable.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Automation & Control Systems
Subhajit Das, Rajan Mondal, Ali Akbar Shaikh, Asoke Kumar Bhunia
Summary: The theory of optimal control plays a vital role in solving real-life problems. This work addresses the challenge of uncertainty by developing the theory of optimal control in an interval environment. The necessary and sufficient optimality conditions for the existence of maximizers in interval valued optimal control problems are proposed. The validity of the theory is demonstrated through the development of an imperfect production inventory model and the use of meta-heuristic algorithms for solving numerical examples. Sensitivity analyses are conducted to observe the impact of system parameters on the optimal policy.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Like Zhang, Qianwang Deng, Zhen Wang, Guiliang Gong, Xiaoyu Wen, Xiaoyan Liu
Summary: This study addresses the neglected impact of inventory allocation supply mode on production scheduling and the guiding significance of delivery information. It proposes a collaborative scheduling model and feedback guidance to satisfy demand-side spare parts requirements and reduce the negative impact of delayed spare parts. The study also introduces optimization objectives to visualize the effect of the scheduling scheme and minimize the service provider's costs. A modified algorithm is proposed to solve the model, and experiments demonstrate its effectiveness.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Huali Sun, Suning Sun, Yi Zhou, Yaofeng Xue
Summary: In this paper, the authors address an integrated production-inventory-routing problem for multiple perishable products. They propose two models to evaluate the trade-off between total emissions and total costs, considering carbon emissions and value loss due to deterioration. They introduce constraints to ensure that perishable products are not held, delivered, or used after their lifetimes have expired. The authors devise a PSO-based method to solve the models and conduct computational experiments to validate their effectiveness and rationality. The results provide insights on generating strategies to minimize costs or achieve environmental goals.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
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)