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Journal articles on the topic 'Maintenance strategies integrated into production'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Noyes, Daniel, and François Pérès. "Maintenance Strategies Integrated into Production Management: Towards Performance Optimisation." IFAC Proceedings Volumes 31, no. 15 (1998): 969–74. http://dx.doi.org/10.1016/s1474-6670(17)40677-x.

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2

Hafidi, Nouhayla, Abdellah El Barkany, Abderrahman El Mhamedi, and Morad Mahmoudi. "Integrated planning of production and maintenance for imperfect system with subcontracting strategies." International Journal of Engineering Business Management 12 (January 1, 2020): 184797902092978. http://dx.doi.org/10.1177/1847979020929783.

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The purpose of this article is to deal with subcontracting strategies in the context of production, maintenance and quality integration. We study the multi-item capacitated lot-sizing problem for a production system composed of a single machine. The production system is considered imperfect, producing both conforming and non-conforming items. However, the deterioration of the system is a function of the time and production rate, which affects the quality of the manufactured items. Consequently, a quality control strategy is established, the aim is to inspect, adjust and control the manufacture

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3

Zhao, Zhiyuan, and Qilong Yuan. "Integrated Scheduling of the Production and Maintenance of Parallel Machine Job-shop Considering Stochastic Machine Breakdowns." Journal of Engineering Management and Systems Engineering 1, no. 1 (2022): 15–22. http://dx.doi.org/10.56578/jemse010103.

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The integrated scheduling of production and maintenance can make equipment maintenance in line with the production pace, so as to effectively prevent anormal interruptions of the production process due to equipment failure, and ensure the smooth implementation of the production scheduling plan. Aiming at the parallel machine job-shop environment, and considering stochastic machine failures and different degradation speeds of parallel machines, this paper introduced the minimal maintenance and preventive maintenance strategies to establish an integrated scheduling model for production and maint

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Gidiagba, Joachim Osheyor, Joel Leonard, Oluwaseun Ayo Ogunjobi, Kelechi Anthony Ofonagoro, and Chibuike Daraojimba. "BALANCING EFFICIENCY AND RESILIENCE: A CRITICAL REVIEW OF MAINTENANCE STRATEGIES IN CONVENTIONAL AND UNCONVENTIONAL OIL AND GAS PRODUCTION." Engineering Heritage Journal 7, no. 2 (2023): 157–66. http://dx.doi.org/10.26480/gwk.02.2023.157.166.

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Efficiency and resilience are critical aspects of maintenance strategies in the dynamic oil and gas industry. This paper provides a comprehensive review of maintenance approaches in conventional and unconventional production, highlighting the delicate balance required between efficient operations and the ability to withstand disruptions. Through case studies, emerging technologies, and future trends, the paper explores strategies to optimize production processes while ensuring robustness against challenges. By offering insights into integrated maintenance solutions, this review contributes to

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Khanna, Aditi, Prerna Gautam, Biswajit Sarkar, and Chandra K. Jaggi. "Integrated vendor–buyer strategies for imperfect production systems with maintenance and warranty policy." RAIRO - Operations Research 54, no. 2 (2020): 435–50. http://dx.doi.org/10.1051/ro/2019029.

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Collaboration has evolved as a key component of many modern supply chains, supporting the competitive advantages of companies in a range of operations from manufacturing to sales. With this viewpoint, the present paper develops an integrated inventory model in which manufacturing is carried out at the vendor’s end so as to fulfill demand at the buyer’s doorway. As the production process is presumed to be imperfect it shifts from an “in-control” state to “out-of-control” state at any random time and yields non-conforming items. The vendor uses regular preventive maintenance actions for the effi

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Nawangsari, Lenny Christina, and Ahmad Hidayat Sutawijaya. "SOCIALIZATION OF PRODUCTION MAINTENANCE MANAGEMENT TO IMPROVING THE MSMEs COMPETITIVENESS IN MERUYA SELATAN - WEST JAKARTA." ICCD 2, no. 1 (2019): 71–75. http://dx.doi.org/10.33068/iccd.vol2.iss1.238.

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The development of Small and Medium Enterprises (SMEs) in Indonesia is increasingly rapid, this requires the existence of integrated handling in order to compete in the business world. Increasing competition makes SMEs must have an effective strategy. One strategy in the field of production management is good management of maintenance. Community service activities carried out in the South Meruya attended by 24 participants, the activity took place with an explanation relating to the Socialization & Training of Maintenance Management in Production at SMEs. Material related to Production Mai

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Cazañas, Ronald Díaz, and Daynier Rolando Delgado Sobrino. "On the Integration of Production and Maintenance Planning at the Tactical Level: Proposal of a Contribution Procedure." Applied Mechanics and Materials 474 (January 2014): 35–41. http://dx.doi.org/10.4028/www.scientific.net/amm.474.35.

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This paper deals with the problematic of the ProductionMaintenance integration and what it represents to the correct functioning of the companies. As a consequence of this, it is introduced a general contribution procedure for the integration of production and maintenance planning at the tactical level. With it, elements of the Value Analysis, the Reliability Centered Maintenance and the Fuzzy Control Theory are integrated in the context of an existing method for selecting maintenance strategies. The key outputs of the proposal consist on defining (1) the roles played by the fixed assets that

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8

Deng, Boxing, Siyuan Shao, Guoqing Cheng, and Yujia Wang. "Modeling and Optimization of Maintenance Strategies in Leasing Systems Considering Equipment Residual Value." Modelling 6, no. 3 (2025): 52. https://doi.org/10.3390/modelling6030052.

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This study addresses the limitations of existing maintenance decision-making approaches that predominantly rely on single-objective strategies for leased production systems with complex series–parallel configurations. An integrated opportunity-based adaptive maintenance strategy is proposed, and a multi-objective optimization model incorporating multiple maintenance alternatives is developed. First, a proportional hazards model to characterize the degradation-dependent failure rates of key components is used to characterize equipment failure rates, which inform the selection of maintenance act

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BouAbid, H., K. Dhouib, and A. Gharbi. "Integrated production and maintenance policy for manufacturing systems prone to products' quality degradation." Advances in Production Engineering & Management 19, no. 4 (2024): 512–26. https://doi.org/10.14743/apem2024.4.521.

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This paper proposes an integrated production planning and preventive maintenance strategy for manufacturing systems prone to quality degradation. The production planning focus on the regulation of production rates and the sizing of finished product’s safety stock to meet costumer’s demand. The safety stock is built to palliate shortages when the manufacturing operation begins generating non-conforming products and is shutdown to perform restoration action. In the other hand, preventive maintenance activities are also planned to minimise the quantity of non-conforming products. Mathematical mod

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Lingegård, Sofia, Malena I. Havenvid, and Per-Erik Eriksson. "Circular Public Procurement through Integrated Contracts in the Infrastructure Sector." Sustainability 13, no. 21 (2021): 11983. http://dx.doi.org/10.3390/su132111983.

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Public clients’ procurement strategies are central in facilitating innovation towards sustainability. In the infrastructure sector, the three main project activities—design, production, and maintenance—are traditionally not procured in an integrated way, which results in sub-optimizations and a lack of life cycle perspective. As project actors are accustomed to traditional, non-integrated forms of contract, implementing integrated contracts imposes fundamental changes to the interdependencies among actors, resources, and activities. This study analyzes the interfaces among key project actors a

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11

Schutz, Jérémie, Anis Chelbi, Nidhal Rezg, and Safa Ben Salem. "Production and maintenance strategies for parallel machines with load transfer in case of failure." Journal of Quality in Maintenance Engineering 25, no. 4 (2019): 525–44. http://dx.doi.org/10.1108/jqme-07-2017-0049.

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PurposeThe purpose of this paper is to deal with the problem of integration of production and maintenance policies. In this context, the authors consider production systems made of parallel machines producing a single product over a finite horizon made of equal periods for which a forecasted demand is known. The authors investigate the impact of switching production in case of failure of any given machine.Design/methodology/approachA mathematical model is first developed to find an optimal production plan which minimizes the average total storage, shortage and production costs. Then, using thi

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Rivera-Gómez, Héctor, Joselito Medina-Marin, Francisca Santana-Robles, Oscar Montaño-Arango, Irving Barragán-Vite, and Gabriel Cisneros-Flores. "Impact of Unreliable Subcontracting on Production and Maintenance Planning Considering Quality Decline." Applied Sciences 12, no. 7 (2022): 3379. http://dx.doi.org/10.3390/app12073379.

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Manufacturing systems face several disturbances during production, such as sudden failures, defects, and unreliable subcontractors that reduce their production capacity. Currently, subcontracting represents an efficient alternative to support production decisions. The novelty of the study was the development of a new integrated model that properly coordinates production, subcontracting, and maintenances strategies in the context of stochastic uncertainty, quality deterioration, and random subcontracting availability. Such a set of characteristics has not been addressed before in the literature

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Rivera-Gomez, Hector, Diana Sanchez-Partida, Antonio Ortega-Reyes, and Isidro Gonzalez-Hernandez. "Optimizing JIT production and maintenance strategies for material management in the presence of quality decline and random demand fluctuations." Acta logistica 11, no. 02 (2024): 281–92. http://dx.doi.org/10.22306/al.v11i2.511.

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Material management is a critical component of any organization, as it encompasses the efficient and effective handling of materials throughout the entire supply chain process. Just-in-time (JIT) strategies play a vital role in streamlining the supply chain process and minimizing waste. The paper examines the optimization of JIT production management, quality, and maintenance planning in the context of material management. An integrated model is proposed based on optimal control theory to formulate a set of innovative systems dynamics that consider quality decline in a stochastic context. The

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Gejo-García, Javier, Jan Reschke, Sergio Gallego-García, and Manuel García-García. "Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept." Applied Sciences 12, no. 4 (2022): 2095. http://dx.doi.org/10.3390/app12042095.

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Historically, manufacturing system researchers and managers have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to develop an integral modeling approach for manufacturing processes in order to assess their status and performance. For this purpose, a novel conceptual model consisting of an integral definition of areas and flows is applied. As a result, manufacturing systems can be modeled, considering all related flows and decision-making options in the respective areas of production, ma

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Liu, Shuo-Fang, Shi-Yu Wang, and Hsueh-Hung Tung. "A Comprehensive Decision-Making Approach for Strategic Product Module Planning in Mass Customization." Mathematics 12, no. 11 (2024): 1745. http://dx.doi.org/10.3390/math12111745.

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This paper explores the integrated optimization of complex coupled industrial manufacturing systems and production strategies based on user customization needs. Two optimization metrics are considered: one is whether the production process of engineering manufacturing is simplified, and the other is whether it is based on the customization requirements of the customer. These two metrics are interrelated, and cases may even be conflicting. Considering the interdependence between engineering manufacturing and user requirements, this paper develops an integrated customized modular engineering man

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De Moraes Rego, Carlos Augusto Rocha, Paulo Sérgio Rabello de Oliveira, Jeferson Tiago Piano, et al. "CHEMICAL PROPERTIES AND PHYSICAL FRACTIONS OF ORGANIC MATTER IN OXISOLS UNDER INTEGRATED AGRICULTURAL PRODUCTION SYSTEMS." JOURNAL OF NEOTROPICAL AGRICULTURE 7, no. 3 (2020): 81–89. http://dx.doi.org/10.32404/rean.v7i3.4747.

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The main cause of decreased soil fertility and soil organic matter content is intensive crop farming with inadequate management. This study aimed to evaluate soil chemical properties, total organic carbon content, physical granulometric fractions (particulate organic carbon and mineral-associated organic carbon), carbon stocks, and carbon management indices of oxisols in different integrated agricultural production systems (IAPSs) with reference to values in a haymaking area and native forest. The experiments were performed using completely randomized design, considering nine differently manag

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Chaudhari, Sachin Deoram. "Mastering SAP S/4HANA for Manufacturing: Strategies for Optimizing Production and Quality Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 04, no. 08 (2020): 1–8. https://doi.org/10.55041/ijsrem8927.

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SAP S/4HANA transforms manufacturing by integrating production and quality management processes, enabling operational efficiency and regulatory compliance. This paper explores strategies to optimize production and quality management using SAP S/4HANA, focusing on its key modules, best practices, and real-world applications. Through phased implementation, real-time analytics, and lean principles, businesses can achieve operational excellence. Case studies from pharmaceutical and chemical industries demonstrate significant reductions in lead times and downtime, underscoring SAP S/4HANA’s impact

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18

Obinna Joshua Ochulor, Oludayo Olatoye Sofoluwe, Ayemere Ukato, and Dazok Donald Jambol. "Technological innovations and optimized work methods in subsea maintenance and production." Engineering Science & Technology Journal 5, no. 5 (2024): 1627–42. http://dx.doi.org/10.51594/estj.v5i5.1112.

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Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and productio

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Ge, Zhenpeng, and Hongfeng Wang. "Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer." Symmetry 15, no. 8 (2023): 1600. http://dx.doi.org/10.3390/sym15081600.

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In recent years, integration of production scheduling and machine maintenance has gained increasing attention in order to improve the stability and efficiency of flowshop manufacturing systems. This paper proposes a Q-learning-based aquila optimizer (QL-AO) for solving the integrated optimization problem of blocking flowshop scheduling and preventive maintenance since blocking in the jobs processing requires to be considered in the practice manufacturing environments. In the proposed algorithmic framework, a Q-learning algorithm is designed to adaptively adjust the selection probabilities of f

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Kiki, Mazen, and Shengyong Wang. "OPTIMIZING MAINTENANCE STRATEGIES FOR ELECTRICAL AND MECHANICAL EQUIPMENT IN PVC MANUFACTURING: A MACHINE LEARNING AND SIMULATION FRAMEWORK." International Journal of Professional Business Review 10, no. 3 (2025): e05399. https://doi.org/10.26668/businessreview/2025.v10i3.5399.

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Objectives: This paper examines real-world data from a PVC manufacturing plant in Saudi Arabia to develop predictive statistical models using machine learning techniques. Theoretical Framework: A framework to optimize a maintenance strategy in a PVC production line begins with obtaining historical data. This data provides insights into the behavior of each station, highlighting performance patterns, failure rates, and maintenance histories. Analyzing this data helps identify critical areas prone to downtime or inefficiencies. Method: The method begins with collecting real-world historical data

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Jajimoggala, Sarojini, V. V. S. Kesava Rao, and Beela Satyanarayana. "Maintenance Strategy Evaluation Using ANP and Goal Programming." International Journal of Strategic Decision Sciences 2, no. 2 (2011): 56–77. http://dx.doi.org/10.4018/jsds.2011040104.

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An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming

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RAMAMOORTHY, C. V., DANIEL E. COOKE, and CHITTA BARAL. "MAINTAINING THE TRUTH OF SPECIFICATIONS IN EVOLUTIONARY SOFTWARE." International Journal on Artificial Intelligence Tools 02, no. 01 (1993): 15–31. http://dx.doi.org/10.1142/s0218213093000035.

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In this paper we explore how methods of truth maintenance and nonmonotonic reasoning may be applied in the engineering of integrated, dynamic systems. In the life of a large system, it is not possible to foresee every significant event which may affect the behavior of the system. Truth maintenance techniques may prove useful in the production and maintenance of these large systems. We discuss how it is that the decision making aspects of a system which change. Both the information on which we base our decisions and our strategies for decision making change. We discuss truth maintenance with re

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Maierhofer, Alexandra, Sebastian Trojahn, and Frank Ryll. "Dynamic Scheduling and Preventive Maintenance in Small-Batch Production: A Flexible Control Approach for Maximising Machine Reliability and Minimising Delays." Applied Sciences 15, no. 8 (2025): 4287. https://doi.org/10.3390/app15084287.

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Single- and small-batch production requires flexible production control to maximise machine reliability and minimise delivery delays. Existing planning approaches often do not take into account the dynamic production conditions of these environments, where machine breakdowns, variable order volumes and short-term changes lead to inefficiencies. This paper presents an enhanced job-shop scheduling model that integrates preventive maintenance strategies directly into production control. Using a mixed-integer programming approach, machine allocation and maintenance measures are optimised simultane

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Hamilton, Nicholas, Dennice Gayme, and Raúl Bayoán Cal. "Wind plant controls." Journal of Renewable and Sustainable Energy 14, no. 6 (2022): 060401. http://dx.doi.org/10.1063/5.0133996.

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The development of operational strategies for wind farms as an integrated plant system to achieve a variety of goals from elevating power production to reducing maintenance needs has generated a great deal of interest in recent years. Achieving these operational goals requires an estimate of the energy available and the wind conditions affecting each turbine. The importance of the aerodynamic interaction of wind turbines with the dynamic atmospheric resource means that wakes (the momentum deficit due to power extraction) and their interactions through the farm have the largest influence on the

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Karim, Md Rezaul. "OPTIMIZING MAINTENANCE STRATEGIES IN SMART MANUFACTURING: A SYSTEMATIC REVIEW OF LEAN PRACTICES, TOTAL PRODUCTIVE MAINTENANCE (TPM), AND DIGITAL RELIABILITY." Review of Applied Science and Technology 04, no. 02 (2025): 176–206. https://doi.org/10.63125/np7nnf78.

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This systematic review investigates the integration of Lean practices, Total Productive Maintenance (TPM), and digital reliability strategies to optimize maintenance operations in the context of smart manufacturing ecosystems. Drawing upon a comprehensive analysis of 96 peer-reviewed studies published between 2015 and 2024, the review rigorously follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure transparency, methodological rigor, and replicability. The review critically examines how traditional maintenance frameworks—namely Lean Mainte

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Jiang, Aiping, Ning Dong, Kwok Leung Tam, and Chonghao Lyu. "Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System." Mathematical Problems in Engineering 2018 (2018): 1–19. http://dx.doi.org/10.1155/2018/4187575.

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In the field of condition-based maintenance, maintenance costs and system reliability criteria are the primary considerations for traditional maintenance management. These methods lack consideration of the environmental impact caused by equipment degradation, such as excessive emissions and energy consumption. In addition, because equipment degradation has various impacts on the ecological environment, companies with excessive emissions and energy consumption can receive huge fines, making it of great value to study ecoconscious maintenance strategies. In this paper, we propose a condition-bas

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Shriprakashan. L. Parapalli and Jithen Shetty. "Leveraging Hybrid Edge-Cloud Predictive Maintenance in Pharmaceutical MES: An Industry 4.0 Approach Using Big Data." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 86–94. https://doi.org/10.32996/jcsts.2025.7.2.7.

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The pharmaceutical sector relies on stringent manufacturing environments to safeguard product integrity and uphold regulatory standards. Unexpected equipment failures can lead to costly downtime, regulatory exposure, and compromised quality. To address these challenges, this paper presents an integrated Hybrid Edge-Cloud Predictive Maintenance (HEC-PdM) framework embedded within a Manufacturing Execution System (MES). By combining edge computing for real-time anomaly detection with cloud-based machine learning (ML) analytics, manufacturers can transition from reactive to predictive and prescri

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Jordan, Christopher. "Curiosity, creativity and collaboration – creating a digitally integrated supply chain." APPEA Journal 57, no. 2 (2017): 477. http://dx.doi.org/10.1071/aj16148.

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With the need to extend the life of ageing assets, manage shorter maintenance campaigns and ensure availability of resources, companies are becoming more curious and creative about possible solutions and more willing to collaborate across traditional silos. Oil and gas companies are building more digitally integrated supply chains and are seeing significant results. When a damaged gasket can cost US$1M/day and create a major safety hazard, even early stage implementation of digital technologies can generate significant improvements. A liquefied natural gas (LNG) plant was curious about what th

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Mountjoy, Daniel C., and Stephen R. Gliessman. "Traditional management of a hillside agroecosystem in Tlaxcala, Mexico: An ecologically based maintenance system." American Journal of Alternative Agriculture 3, no. 1 (1988): 3–10. http://dx.doi.org/10.1017/s0889189300002058.

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AbstractTraditional agricultural systems are increasingly being recognized as important examples of ecologically sustainable production methods and as such deserve agroecological attention. In a study of terrace agriculture in Tlaxcala, Mexico, the authors identify several management features which have been used for as long as three thousand years. The theoretical approach employs the notion of open versus closed agroecosystems for examining soil and water management, species diversity, and nutrient cycling. In the traditional system, conservation of existing resources is the distinctive feat

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Ayalew, Girmay, and Genet Ayalew. "Integrating Fuzzy AHP and Fuzzy TOPSIS Models for Construction Equipment Maintenance Strategy Selection." International Journal of Management and Fuzzy Systems 11, no. 2 (2025): 33–61. https://doi.org/10.11648/j.ijmfs.20251102.11.

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Maintenance is the combination of all technical, administrative, and managerial actions during the life cycle of an item intended to retain it in, or restore it to a state in which it can perform the required function under normal stated operating conditions. Maintenance management is a crucial element that governs the economic value of the organization itself. Maintenance costs constitute a major part of the total operating costs of all construction equipment. Currently, industries are facing a lot of challenges encountered due to the continually evolving world of technologies, and environmen

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Romanov, Vladimir S., and Valery G. Goldshtein. "To the question of damage, maintenance and repairs of submersible electric equipment for oil production." Vestnik of Samara State Technical University. Technical Sciences Series 28, no. 2 (2020): 111–23. http://dx.doi.org/10.14498/tech.2020.2.8.

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In optimizing and managing the life cycles of submersible electrical equipment (SEE) for oil production, an integrated approach to the organization of maintenance and repairs (MRO) is advisable based on the development of a more advanced strategy for carrying out repair cycles. It is stated that the maintenance and repair strategies adopted by the oil industry do not fully ensure operational efficiency, which leads to an increase in premature equipment failures, a reduction in turnaround times and, as a result, losses for oil companies. The advantages and disadvantages of approaches to organiz

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Paraschos, Panagiotis D., Georgios Papadopoulos, and Dimitrios E. Koulouriotis. "Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments." Machines 13, no. 7 (2025): 611. https://doi.org/10.3390/machines13070611.

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This paper presents a digital twin-driven multi-objective optimization approach for enhancing the performance and productivity of a multi-product manufacturing system under complex operational challenges. More specifically, the concept of digital twin is applied to virtually replicate a physical system that leverages real-time data fusion from Internet of Things devices or sensors. JaamSim serves as the platform for modeling the digital twin, simulating the dynamics of the manufacturing system. The implemented digital twin is a manufacturing system that incorporates a three-stage production li

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Mohamed Ameerdin, Muhammad Irshat, Muhammad Herman Jamaluddin, Ahmad Zaki Shukor, and Syazwani Mohamad. "A Review of Deep Learning-Based Defect Detection and Panel Localization for Photovoltaic Panel Surveillance System." International Journal of Robotics and Control Systems 4, no. 4 (2024): 1746–71. https://doi.org/10.31763/ijrcs.v4i4.1579.

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As the photovoltaic (PV) systems expands globally, robust defect detection and precise localization technologies becomes crucial to ensure their operational efficiency. This review introduces an integrated deep learning framework that leverages Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and You Only Look Once (YOLO) algorithms to enhance defect detection in solar panels. By integrating these technologies with Global Positioning System (GPS) and Real-Time Kinematic (RTK) GPS, the framework achieves unprecedented accuracy in defect localization, facilitating efficien

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Buirs, Liam, and Zamir K. Punja. "Integrated Management of Pathogens and Microbes in Cannabis sativa L. (Cannabis) under Greenhouse Conditions." Plants 13, no. 6 (2024): 786. http://dx.doi.org/10.3390/plants13060786.

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The increased cultivation of high THC-containing Cannabis sativa L. (cannabis), particularly in greenhouses, has resulted in a greater incidence of diseases and molds that can negatively affect the growth and quality of the crop. Among them, the most important diseases are root rots (Fusarium and Pythium spp.), bud rot (Botrytis cinerea), powdery mildew (Golovinomyces ambrosiae), cannabis stunt disease (caused by hop latent viroid), and a range of microbes that reduce post-harvest quality. An integrated management approach to reduce the impact of these diseases/microbes requires combining diff

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Reschke, Jan, and Sergio Gallego-García. "A Novel Methodology for Assessing and Modeling Manufacturing Processes." Applied Sciences 11, no. 21 (2021): 10117. http://dx.doi.org/10.3390/app112110117.

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Historically, researchers and practitioners have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to propose a holistic approach to manufacturing processes in order to assess their status and performance to improve target indicators such as product quality. For this purpose, a conceptual model is designed by identifying areas, flows, and indicators that are relevant to the assessment of a manufacturing system. Moreover, using the conceptual model, manufacturing systems can be modeled cons

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Gurusamy, Thillai Natarajan. "Transforming Industrial Operations through IoT and Cloud Integration in the Era of Connected Factories." International Journal of Engineering and Science Invention 14, no. 4 (2025): 107–12. https://doi.org/10.35629/6734-1404107112.

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This study examines the integration of IoT and cloud technologies to enhance efficiency in innovative industrial production environments. It highlights the importance of real-time monitoring, scalability, and the development of analytics to improve decision-making and operational performance. The research concludes that integrated systems lead to increased productivity, predictive maintenance, and improved responsiveness to both external and internal business environments in manufacturing operations. Despite these benefits, challenges such as integration security risks, interoperability issues

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Sandeep, Ramanamuni. "Driving Digital Transformation in the Pharma Industry." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 6, no. 4 (2020): 1–5. https://doi.org/10.5281/zenodo.15087585.

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Manufacturing and supply chain transformation through digital technology is best illustrated in the pharmaceutical industries. This paper investigates critical initiatives of digitalization in pharmaceutical companies, including integrated engineering, paperless manufacturing, and digital supply chains. These initiatives are driven by emerging technologies such as AI, IoT, blockchain, and big data analytics. The paper reveals how digital tools drive predictive maintenance and enhanced decision-making while boosting agility across manufacturing lines. Insights from the market project increase i

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Rocha, Patricia, and Rui Calejo Rodrigues. "Bibliometric review of improvements in building maintenance." Journal of Quality in Maintenance Engineering 23, no. 4 (2017): 437–56. http://dx.doi.org/10.1108/jqme-07-2016-0030.

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Purpose The purpose of this paper is to review the status of knowledge on the subject of building maintenance from an integrated perspective that incorporates the building lifecycle, that is, from the design stage to the end of life. This work considered the main aspects to be taken into account in determining and implementing maintenance strategies, which requires a cross-sectional view of the entire construction process. At the same time, this approach contributes to the organisation of building management. Design/methodology/approach Bibliometric review has been carried out to identify rele

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Panicucci, Simone, Nikolaos Nikolakis, Tania Cerquitelli, et al. "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry." Electronics 9, no. 3 (2020): 492. http://dx.doi.org/10.3390/electronics9030492.

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Data management and processing to enable predictive analytics in cyber physical systems holds the promise of creating insight over underlying processes, discovering anomalous behaviours and predicting imminent failures threatening a normal and smooth production process. In this context, proactive strategies can be adopted, as enabled by predictive analytics. Predictive analytics in turn can make a shift in traditional maintenance approaches to more effective optimising their cost and transforming maintenance from a necessary evil to a strategic business factor. Empowered by the aforementioned

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Romanov, Vladimir, Valery Goldstein, and Vladislav Senko. "Resource and Lifecycle Management of Submersible Electrical Equipment for Oil Production Based on Technical Diagnostics and the Dynamics of Changes in Its Current State." Известия высших учебных заведений. Электромеханика 64, no. 4-5 (2021): 46–52. http://dx.doi.org/10.17213/0136-3360-2021-4-5-46-52.

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In optimizing and managing the life cycles of submersible electrical equipment (SEE) for oil production, an integrated approach to the organization of maintenance and re-pairs (MRO) is advisable based on the devel-opment of a more advanced strategy for carrying out repair cycles. It is stated that the maintenance and repair strategies adopted by the oil industry do not fully ensure operational efficiency, which leads to an increase in premature equipment failures, a reduction in turnaround times and, as a result, losses for oil companies. The advantages and disadvantages of approaches to organ

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Fox, Stephen, Patrick Ehlen, and Matthew Purver. "Enabling distributed communication of manual skills." International Journal of Managing Projects in Business 4, no. 1 (2011): 49–63. http://dx.doi.org/10.1108/17538371111096881.

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PurposeThe purpose of this paper is to inform the development of mixed initiative systems for distributed digital communication of manual skills. In particular, manual skills that are essential in project production paradigms such as engineer‐to‐order.Design/methodology/approachFindings from survey research, which included literature review and interviews with practitioners, are reported. Literature review investigated media, strategies, and computation relevant to distributed digital communication of manual skills. Interviews investigated attitudes among industry practitioners towards distrib

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Wen, Yuxin, Yuanlong Yue, Xin Zuo, and Xiaoguang Li. "Reliability-Based Preventive Maintenance Strategy for Subsea Control System." Processes 12, no. 4 (2024): 761. http://dx.doi.org/10.3390/pr12040761.

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The subsea control system, a pivotal element of the subsea production system, plays an essential role in collecting production data and real-time operational monitoring, crucial for the consistent and stable output of offshore oil and gas fields. The increasing demand for secure offshore oil and gas extraction underscores the necessity for advanced reliability modeling and effective maintenance strategies for subsea control systems. Given the enhanced reliability of subsea equipment due to technological advancements, resulting in scarce failure data, traditional reliability modeling methods re

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Chu, Chia-Hua, Chia-Jung Lee, and Hsiang-Yuan Yeh. "Developing Deep Survival Model for Remaining Useful Life Estimation Based on Convolutional and Long Short-Term Memory Neural Networks." Wireless Communications and Mobile Computing 2020 (December 4, 2020): 1–12. http://dx.doi.org/10.1155/2020/8814658.

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The application of mechanical equipment in manufacturing is becoming more and more complicated with technology development and adoption. In order to keep the high reliability and stability of the production line, reducing the downtime to repair and the frequency of routine maintenance is necessary. Since machine and components’ degradations are inevitable, accurately estimating the remaining useful life of them is crucial. We propose an integrated deep learning approach with convolutional neural networks and long short-term memory networks to learn the latent features and estimate remaining us

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Choi, Jintak, Zuobin Xiong, and Kyungtae Kang. "Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model." Mathematics 13, no. 7 (2025): 1093. https://doi.org/10.3390/math13071093.

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The quality of the processed products in CNC machining centers is a critical factor in manufacturing equipment. The anomaly detection and predictive maintenance functions are essential for improving efficiency and reducing time and costs. This study aims to strengthen service competitiveness by reducing quality assurance costs and implementing AI-based predictive maintenance services, as well as establishing a predictive maintenance system for CNC manufacturing equipment. The proposed system integrates preventive maintenance, time-based maintenance, and condition-based maintenance strategies.

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Simarmata, Gayus, Saib Suwilo, Opim Salim Sitompul, and Sutarman Sutarman. "Strategic plant maintenance planning in agriculture by integrating lean principles and optimization." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 6 (2024): 6279. http://dx.doi.org/10.11591/ijece.v14i6.pp6279-6286.

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Operational planning within agricultural production systems plays a pivotal role in facilitating farmers' decision-making processes. This study introduces a novel mathematical model aimed at optimizing plant maintenance planning through the efficient allocation of labor, optimal utilization of machinery, and strategic scheduling. Utilizing mixed integer non-linear programming (MINLP), the model integrates lean principles to minimize waste and improve operational efficiency. The primary contributions of this study include the development of a comprehensive maintenance planning model, the applic

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Tarun, Parmar. "A Review Of Strategies For Mitigating Lot-To-Lot, Wafer-To-Wafer, And Within-Wafer Variations In Semiconductor Production." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 6, no. 2 (2020): 1–12. https://doi.org/10.5281/zenodo.14632755.

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Semiconductor manufacturing faces significant challenges in managing variability at multiple levels including lot-to-lot, wafer-to-wafer, and within-wafer variations. These variations can significantly affect the product quality, yield, and overall manufacturing efficiency. This review provides a comprehensive analysis of the strategies for mitigating variability at each level. For lot-to-lot variations, improved process control and monitoring systems, enhanced equipment maintenance and calibration procedures, statistical process control techniques, and feedforward and feedback control loops w

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Sucipto, S. Wulandari, and I. Ariani. "Quality risk analysis of cocoa agroindustry: a case study in Pesawaran District, Lampung Province." IOP Conference Series: Earth and Environmental Science 892, no. 1 (2021): 012058. http://dx.doi.org/10.1088/1755-1315/892/1/012058.

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Abstract Quality is a critical issue in small and medium scale cocoa agroindustry, which affected competitiveness significantly. Product quality is strongly influenced by implementing best practices in cocoa production and processing. This study aims to identify quality risks, analyze risks, and develop risk management strategies in the cocoa agroindustry using a case study. Analysis used Quality Risk Matrix to map the risks and Analytical hierarchy process to develop a quality risk management (QRM). The results showed that blooming is the highest quality risk, followed by taste differences, m

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Pang, H., M. Makarechian, J. A. Basarab, and R. T. Berg. "Structure of a dynamic simulation model for beef cattle production systems." Canadian Journal of Animal Science 79, no. 4 (1999): 409–17. http://dx.doi.org/10.4141/a99-020.

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A dynamic deterministic model for simulating beef cattle production systems is developed to evaluate the effects of production traits and management strategies on the bioeconomic efficiency of beef production systems. The model, named Alberta Beef Production Simulation System (ABPSS), is composed of four major submodels: herd inventory, nutrient requirement, forage production, and economic submodels. The herd inventory submodel is used to simulate population dynamics and feed requirements in the herd. The nutrient requirements submodel is mainly based on the 1996 version of the National Resear

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Chilibroste, P., M. J. Gibb, P. Soca, and D. A. Mattiauda. "Behavioural adaptation of grazing dairy cows to changes in feeding management: do they follow a predictable pattern?" Animal Production Science 55, no. 3 (2015): 328. http://dx.doi.org/10.1071/an14484.

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Research conducted over recent decades to improve understanding of the functional responses among sward characteristics, intake rate and grazing behaviour has been reviewed. The opportunities to modify grazing pattern by changes in feeding management are discussed and the implications for dairy-farm feeding strategies are highlighted. Progress in the understanding of the functional responses between sward characteristics and intake rate and their main components (bite mass, bite area, bite depth and bite rates) has been substantial. However, progress in understanding the factors that mediate t

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Matviienko, Oleksandr, and Viktor Aulin. "Classification of Signal Types and Machining Methods for Intelligent Assessment of the Technical Mill of Mobile Machines for Agro-Industrial Production." Central Ukrainian Scientific Bulletin. Technical Sciences 2, no. 11(42) (2025): 298–312. https://doi.org/10.32515/2664-262x.2025.11(42).2.298-312.

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The article provides a critical review of current research on the use of machine learning (ML) methods for identifying the technical state of units and mechanisms of agro-industrial production machines for different types of diagnostic signals (vibration, acoustic, temperature, vice, etc.). The exchange of threshold diagnostic strategies is shown and the need for an intelligent technical service system is highlighted, which integrates a sensor base and adaptive MN algorithms for online assessment of the plant, predictive maintenance and minimization of untransferable downtime. The concept of c

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