15,571 research outputs found

    Master production schedule using robust optimization approaches in an automobile second-tier supplier

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    [EN] This paper considers a real-world automobile second-tier supplier that manufactures decorative surface finishings of injected parts provided by several suppliers, and which devises its master production schedule by a manual spreadsheet-based procedure. The imprecise production time in this manufacturer's production process is incorporated into a deterministic mathematical programming model to address this problem by two robust optimization approaches. The proposed model and the corresponding robust solution methodology improve production plans by optimizing the production, inventory and backlogging costs, and demonstrate the their feasibility for a realistic master production schedule problem that outperforms the heuristic decision-making procedure currently being applied in the firm under study.Funding was provided by Horizon 2020 Framework Programme (Grant Agreement No. 636909) in the frame of the "Cloud Collaborative Manufacturing Networks" (C2NET) project.MartĂ­n, AG.; DĂ­az-Madroñero Boluda, FM.; Mula, J. (2020). Master production schedule using robust optimization approaches in an automobile second-tier supplier. Central European Journal of Operations Research. 28(1):143-166. https://doi.org/10.1007/s10100-019-00607-2S143166281Alem DJ, Morabito R (2012) Production planning in furniture settings via robust optimization. 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    “Asset Partner” Service model – Challenges and Opportunities for service industry. - A case from Norwegian Continental Shelf (NCS)

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    The oil and gas (O&G) industry is facing numerous challenges, including fluctuating oil prices, increasing regulatory pressures, and a growing demand for cleaner energy sources. To remain competitive and maximize value creation, companies must adopt customized and flexible approaches to their offshore operations and think of new solutions to solve tomorrow’s challenges. Examining the concept and implications of an Asset Partner reveals various opportunities and challenges for both operator- and service companies. In recent years, operational partnerships have emerged as a strategic solution for companies aiming to optimize their operations, minimize risks, and enhance their competitive edge. The Norwegian Continental Shelf (NCS) presents a unique operating environment, combining harsh climatic conditions, advanced technologies, and stringent safety and environmental standards. Operating in this challenging environment requires specialized knowledge, strong regulatory compliance, and a commitment to sustainable practices. By forming alliances with third-party service providers, O&G companies can leverage external expertise, share risks, and pool resources to achieve common objectives. While partnerships offer several benefits, there are also notable challenges in the collaboration between operator companies and oil service companies on the NCS. This thesis will examine various perspectives, including those of operator companies that typically manage their assets independently, as well as the viewpoints of oil service companies, trade unions, and governmental authorities. The thesis aims to investigate the following research questions: 1. What are the benefits and challenges of implementing an "Asset Partner" model in the Oil and Gas (O&G) industry, and how can it be used to increase competitiveness in the market? 2. How do regulations and authorities, such as the Petroleum Safety Authority (PSA) impact the implementation and success of the "Asset Partner" model in the O&G industry? 3. How does the "Asset Partner" model compare to traditional contractor and partnership models such as Technical Service Provider (TSP) model. 4. What are the specific business models and strategies that can be used to effectively implement the "Asset Partner" model in the O&G industry? A case study was conducted, involving data collection through interviews with professionals representing various roles in the industry. These included individuals from operator companies, oil service companies, trade unions, and government or regulatory authorities. The insights gathered from their responses have served as the base for addressing the research questions. The study reveals the complications and aspects related to the Asset Partner model. It provides a comprehensive understanding of the opportunities, challenges, and potential future implications of this model from the perspectives of operator companies, trade unions, oil service companies, and governmental authorities. It reveals that the Asset Partner model in the O&G industry offers the potential of significant benefits, including increased efficiency, cost savings, and access to specialized resources I terms of competence and capacity. However, challenges such as the loss of control over critical activities and potential erosion of core competencies must be carefully managed. The green transition and technological advancements can also have an impact in the future of the Asset Partner model in the future, emphasizing the need for regulatory adjustments for its sustainable implementation and alignment with environmental goals. To effectively implement the Asset Partner model, clear contractual agreements, open communication, performance monitoring, risk management, and competence development are essential. The research suggests a need for further research and collaboration among stakeholders to develop best practices, guidelines, and regulatory frameworks for the successful operation of the Asset Partner model in the O&G industry

    Food security, risk management and climate change

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    This report identifies major constraints to the adaptive capacity of food organisations operating in Australia. This report is about food security, climate change and risk management. Australia has enjoyed an unprecedented level of food security for more than half a century, but there are new uncertainties emerging and it would be unrealistic – if not complacent – to assume the same level of food security will persist simply because of recent history. The project collected data from more than 36 case study organisations (both foreign and local) operating in the Australian food-supply chain, and found that for many businesses,  risk management practices require substantial improvement to cope with and exploit the uncertainties that lie ahead. Three risks were identified as major constraints to adaptive capacity of food organisations operating in Australia:  risk management practices; an uncertain regulatory environment – itself a result of gaps in risk management; climate change uncertainty and projections about climate change impacts, also related to risk management

    A contribution to supply chain design under uncertainty

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    Dans le contexte actuel des chaĂźnes logistiques, des processus d'affaires complexes et des partenaires Ă©tendus, plusieurs facteurs peuvent augmenter les chances de perturbations dans les chaĂźnes logistiques, telles que les pertes de clients en raison de l'intensification de la concurrence, la pĂ©nurie de l'offre en raison de l'incertitude des approvisionnements, la gestion d'un grand nombre de partenaires, les dĂ©faillances et les pannes imprĂ©visibles, etc. PrĂ©voir et rĂ©pondre aux changements qui touchent les chaĂźnes logistiques exigent parfois de composer avec des incertitudes et des informations incomplĂštes. Chaque entitĂ© de la chaĂźne doit ĂȘtre choisie de façon efficace afin de rĂ©duire autant que possible les facteurs de perturbations. Configurer des chaĂźnes logistiques efficientes peut garantir la continuitĂ© des activitĂ©s de la chaĂźne en dĂ©pit de la prĂ©sence d'Ă©vĂ©nements perturbateurs. L'objectif principal de cette thĂšse est la conception de chaĂźnes logistiques qui rĂ©sistent aux perturbations par le biais de modĂšles de sĂ©lection d'acteurs fiables. Les modĂšles proposĂ©s permettent de rĂ©duire la vulnĂ©rabilitĂ© aux perturbations qui peuvent aV, oir un impact sur la continuitĂ© des opĂ©rations des entitĂ©s de la chaĂźne, soient les fournisseurs, les sites de production et les sites de distribution. Le manuscrit de cette thĂšse s'articule autour de trois principaux chapitres: 1 - Construction d'un modĂšle multi-objectifs de sĂ©lection d'acteurs fiables pour la conception de chaĂźnes logistiques en mesure de rĂ©sister aux perturbations. 2 - Examen des diffĂ©rents concepts et des types de risques liĂ©s aux chaĂźnes logistiques ainsi qu'une prĂ©sentation d'une approche pour quantifier le risque. 3 - DĂ©veloppement d'un modĂšle d'optimisation de la fiabilitĂ© afin de rĂ©duire la vulnĂ©rabilitĂ© aux perturbations des chaĂźnes logistiques sous l'incertitude de la sollicitation et de l'offre

    Self-inspections in Research

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    Treballs Finals de Grau de FarmĂ cia, Facultat de FarmĂ cia i CiĂšncies de l'AlimentaciĂł, Universitat de Barcelona, 2023. Tutor/a: Encarna GarcĂ­aThe implementation of a consolidated and integrated quality management system in Research and Development and innovation (R&D) provides a conceptual framework for the evaluation and continuous improvement of the projects carried out. It is also a key element in ensuring the effectiveness and validity of the results. Research often fails to give the priority it deserves (1). It is assumed that it is more beneficial to invest all the time and resources exclusively in scientific investigation. This represents a missed opportunity to improve team coordination and increase project success (2,3). From the main international regulations such as ISO 9001, UNE 16602, ICH Q8, ICH Q9, ICH Q10, among others, the most reference points in the research have been selected and unified to produce an auditable questionnaire. It consists of 19 different sections with a total of 167 yes/no/ongoing/NA answer questions. It focuses exclusively on the audit of research personnel and their activities. Thus, it allows to create a global and current idea of the management system in R&D and the organization and to evaluate its degree of compliance. Based on the questionnaire, four audits were carried out on three different study groups: the Service of Development of Medicines, the Unit of Pharmaceutical Technology and the Pharmaceutical Chemistry Laboratory. The audit has made it possible to compare and analyse in detail the different levels of compliance and to identify the strengths and weaknesses of each organization. It has also proven useful in assessing the current status of organizations and highlighting areas of optimization. Keywords: Quality Audit, Quality Management System, ISO 9001, UNE 16602

    An integrated model for asset reliability, risk and production efficiency management in subsea oil and gas operations

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    PhD ThesisThe global demand for energy has been predicted to rise by 56% between 2010 and 2040 due to industrialization and population growth. This continuous rise in energy demand has consequently prompted oil and gas firms to shift activities from onshore oil fields to tougher terrains such as shallow, deep, ultra-deep and arctic fields. Operations in these domains often require deployment of unconventional subsea assets and technology. Subsea assets when installed offshore are super-bombarded by marine elements and human factors which increase the risk of failure. Whilst many risk standards, asset integrity and reliability analysis models have been suggested by many previous researchers, there is a gap on the capability of predictive reliability models to simultaneously address the impact of corrosion inducing elements such as temperature, pressure, pH corrosion on material wear-out and failure. There is also a gap in the methodology for evaluation of capital expenditure, human factor risk elements and use of historical data to evaluate risk. This thesis aims to contribute original knowledge to help improve production assurance by developing an integrated model which addresses pump-pipe capital expenditure, asset risk and reliability in subsea systems. The key contributions of this research is the development of a practical model which links four sub-models on reliability analysis, asset capital cost, event risk severity analysis and subsea risk management implementation. Firstly, an accelerated reliability analysis model was developed by incorporating a corrosion covariate stress on Weibull model of OREDA data. This was applied on a subsea compression system to predict failure times. A second methodology was developed by enhancing Hubbert oil production forecast model, and using nodal analysis for asset capital cost analysis of a pump-pipe system and optimal selection of best option based on physical parameters such as pipeline diameter, power needs, pressure drop and velocity of fluid. Thirdly, a risk evaluation method based on the mathematical determinant of historical event magnitude, frequency and influencing factors was developed for estimating the severity of risk in a system. Finally, a survey is conducted on subsea engineers and the results along with the previous models were developed into an integrated assurance model for ensuring asset reliability and risk management in subsea operations. A guide is provided for subsea asset management with due consideration to both technical and operational perspectives. The operational requirements of a subsea system can be measured, analysed and improved using the mix of mathematical, computational, stochastic and logical frameworks recommended in this work

    Optimization of administrative processes in beer export : a case study

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    Amidst the expanding global trade landscape, the effective management of global supply chains (GSCs) has become a crucial concern for multinational corporations, significantly impacting their performance. In the context of the beer industry, maritime transportation, particularly through container shipments, plays a pivotal role, influencing and being influenced by various interconnected chains. In 2022, Heineken's French subsidiary faced a €10,000 loss due to inconsistencies in customs clearance documentation, a crucial aspect of export operations. In response, this study presents an approach aimed at optimizing customs document transmission, grounded in a thorough process analysis. This approach involves two optimization strategies: the automation of repetitive tasks through VBA programming and SAP macros, and the reduction of errors through systematic checklists

    Industry 4.0 and the circular economy : melioration of business logistics sustainability

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    Abstract: Mining and mineral resources help provide the requirements of everyday life by contributing to essential products and services. In the era of fourth industrial revolution, the trend in logistics is toward a smart logistics system. Therefore, it becomes important to understand how Industry 4.0 enablers effect smart logistics, i.e., instrumented logistics, interconnected logistics, and intelligent logistics. This study investigates how Industry 4.0 logistics technologies influence dynamic remanufacturing and green manufacturing capability and, the effect on business logistics sustainability. Survey data were collected from 150 respondents using an online survey of South African executives in firms operating mines, quarries, and processing plants. Partial Least Squares based structural equation modelling (PLS-SEM) was used to test the hypotheses. The findings indicate that Industry 4.0 enablers have a strong effect on intelligent logistics compared to its effect on interconnected logistics and instrumented logistics. The effect of intelligent logistics are found to be very high compared to that of interconnected logistics and instrumented logistics on dynamic remanufacturing and green manufacturing capability. Finally, dynamic remanufacturing and green manufacturing capability are found to positively influence business logistics sustainability
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