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Artykuły w czasopismach na temat "Business Model Bottlenecks"
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Veltman, Mark, Robert Kooij i Sebastian Marban. "Sales Bottlenecks And Their Effect On Profit". Journal of Applied Business Research (JABR) 30, nr 6 (29.10.2014): 1725. http://dx.doi.org/10.19030/jabr.v30i6.8889.
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This study introduces the term sales bottleneck, defined as a stage in a total production or service delivery process that limits sales. After analyzing the suitability of traditional methods to find sales bottlenecks, the study proposes the bottleneck accounting model as a method to determine sales bottlenecks and calculate the effect of each of these bottlenecks on profit. Analytical verification shows that this method finds all sales bottlenecks and determines the exact effect on profit. Finally, the methods effectiveness is tested in practice by means of a case study performed within the Rabobank.
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Pekarcikova, Miriam, Peter Trebuna, Marek Kliment i Michal Dic. "Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software". Sustainability 13, nr 14 (17.07.2021): 7989. http://dx.doi.org/10.3390/su13147989.
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The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.
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Lee-Post, Anita. "Developing numeracy and problem-solving skills by overcoming learning bottlenecks". Journal of Applied Research in Higher Education 11, nr 3 (1.07.2019): 398–414. http://dx.doi.org/10.1108/jarhe-03-2018-0049.
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Purpose The purpose of this paper is to present an educational approach to elevating problem-solving and numeracy competencies of business undergraduates to meet workplace demand. The approach is grounded in the theory of constraints following the Decoding the Discipline model. The authors investigated a cognitive bottleneck involving problem modeling and an affective bottleneck concerning low self-efficacy of numeracy and designed specific interventions to address both bottlenecks simultaneously. The authors implemented the proposed approach in an introductory level analytics course in business operations. Design/methodology/approach The authors use an empirical study to evaluate the effectiveness of the proposed approach in addressing deficiency in numeracy and problem-solving skills. Cognitive and affective learning interventions were introduced in an undergraduate core course in analytics. The perceived effectiveness of the interventions was evaluated with the use of a survey at the end of the course. To further investigate the effectiveness of the proposed interventions beyond self-reporting, the impact of the interventions on actual learning was evaluated by comparing the exam scores between classes with and without the interventions. Findings Students who underwent the interventions successfully overcame both learning bottlenecks and indicated a positive change in attitude toward the analytics discipline as well as achieved higher exam scores in the analytics course. Research limitations/implications This study succeeds in strengthening the body of research in teaching and learning. The authors also offer a holistic treatment of cognitive and affective learning bottlenecks, and provide empirical evidence to support the effectiveness of the proposed approach in elevating numeracy and problem-solving competencies of business undergraduates. Practical implications The proposed approach is useful for business educators to improve business students’ quantitative modeling skill and attitude. Researchers can also extend the approach to other courses and settings to build up the body of research in learning and skill development. Educational policy makers may consider promoting promising approaches to improve students’ quantitative skill development. They can also set a high standard for higher education institutions to assess students’ numeracy and problem-solving competencies. Employers will find college graduates bring to their initial positions the high levels of numeracy and problem-solving skills demanded for knowledge work to sustain business growth and innovation. Social implications As students’ numeracy and problem-solving skills are raised, they will develop an aptitude for quantitative-oriented coursework that equips them with the set of quantitative information-processing skills needed to succeed in the twenty-first century society and global economy. Originality/value The proposed approach provides a goal-oriented three-step process to improve learning by overcoming learning bottlenecks as constraints of a learning process. The integral focus on identifying learning bottlenecks, creating learning interventions and assessing learning outcomes in the proposed approach is instrumental in introducing manageable interventions to address challenges in student learning thereby elevating students’ numeracy and problem-solving competencies.
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Mohapeloa, Tshidi. "Effects of silo mentality on corporate ITC’s business model". Proceedings of the International Conference on Business Excellence 11, nr 1 (1.07.2017): 1009–19. http://dx.doi.org/10.1515/picbe-2017-0105.
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Abstract Background & orientation: The existence of silo mentality has direct effect on the business model used by any ITC company. Its contribution slows service delivery whilst increasing customer’s despondency. However mitigation could help overcome barriers within divisions, improve customer experience and increase productivity. But when different units as components of a company fail to integrate, collaborate and work together to achieve a common objective goal, not only are performances affected but also operations at all levels. A business model canvas can help determine how a company intends to create value for customers whilst it makes money. Thus deliverance of an effective value proposition for efficient customer needs, can be affected through silos. Purpose: This study explore the effects of silo mentality within an ITC company (at organisational level) using the 9 elements of the business model canvas as framework. Methodology and research questions: As an exploratory study qualitative methods were used where in-depth interview questions looked at how silo mentality within the organisation affects the core business model elements and why. Twelve participants were selected from an enterprise business unit through a convenience sampling method. Content analysis helped with the development of core themes that looked at the how silos affect each element (process) and why (meaning). Findings: Silo mentality affects not only the individuals but team, products, value proposition, relations with partners, customers, stakeholders. Thus undermines internal capabilities and key resources. Absence of teamwork within the divisions leads to conflicts which delays achievements of common goals. Bottlenecks affect inter-divisional progress and relations, customer output and relations and compromise the quality of service. Implications: Silo mentality is a bottleneck that not only weakens firms’ capabilities and growth potential but destroys any value created by the firm.
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Baldina, Julia, i Natalya Masyuk. "Organizational Business Model of State Franchising". SHS Web of Conferences 73 (2020): 01002. http://dx.doi.org/10.1051/shsconf/20207301002.
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The development of entrepreneurship in any country is inextricably linked with the participation of the state, without the intervention and support of which it is impossible to create a friendly institutional environment conducive to the development of entrepreneurial initiatives and entrepreneurial activity of the population. Small and medium entrepreneurship is the main driving force of the country's economic development throughout the world. The development strategy of the Russian Federation for 2018-2024 includes seven strategic priorities, some of which relate to the development of entrepreneurship and support for civic entrepreneurial initiative, the creation of a competitive economy in which government policy will be aimed at partnership with private business and reducing the direct participation of the state in the economy, and support of such socially important areas as health, education, social sphere, etc. In this connection, there is a need for s forms of the partnership of state and business structures in socially important sectors in order to attract small and medium-sized businesses. At the same time, a mechanism is needed to implement such a partnership, which should be based on a business model that will allow you to clearly understand the logical links and relationships. This paper describes the author's version of the configuration (template) of the business model of state franchising as a form of partnership between business and government. The basis is the canvas of the classic business models of Osterwalder-Pigneur and Ash Maurya. Special attention is paid to unfair (non-market) competitive advantage, which business receives. The described business model makes it possible to cover the partnership in general, concentrate on the main things, discover bottlenecks and interdependencies, contradictions and alternatives. Work within the framework of this business model gives a chance to significantly increase the efficiency of partners and to support socially significant areas of business.
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Zhao, Yuancheng, Qingjin Peng, Trevor Strome, Erin Weldon, Michael Zhang i Alecs Chochinov. "Bottleneck detection for improvement of Emergency Department efficiency". Business Process Management Journal 21, nr 3 (1.06.2015): 564–85. http://dx.doi.org/10.1108/bpmj-06-2014-0060.
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Purpose – The purpose of this paper is to introduce a method of the bottleneck detection for Emergency Department (ED) improvement using benchmarking and design of experiments (DOE) in simulation model. Design/methodology/approach – Four procedures of treatments are used to represent ED activities of the patient flow. Simulation modeling is applied as a cost-effective tool to analyze the ED operation. Benchmarking provides the achievable goal for the improvement. DOE speeds up the process of bottleneck search. Findings – It is identified that the long waiting time is accumulated by previous arrival patients waiting for treatment in the ED. Comparing the processing time of each treatment procedure with the benchmark reveals that increasing the treatment time mainly happens in treatment in progress and emergency room holding (ERH) procedures. It also indicates that the to be admitted time caused by the transfer delay is a common case. Research limitations/implications – The current research is conducted in the ED only. Activities in the ERH require a close cooperation of several medical teams to complete patients’ condition evaluations. The current model may be extended to the related medical units to improve the model detail. Practical implications – ED overcrowding is an increasingly significant public healthcare problem. Bottlenecks that affect ED overcrowding have to be detected to improve the patient flow. Originality/value – Integration of benchmarking and DOE in simulation modeling proposed in this research shows the promise in time-saving for bottleneck detection of ED operations.
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Pollack, G. A., A. G. Palei i O. S. Buslaeva. "Optimization of the Production Preparation Process by Simulation Modeling Methods". Journal of Physics: Conference Series 2173, nr 1 (1.01.2022): 012076. http://dx.doi.org/10.1088/1742-6596/2173/1/012076.
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Abstract The article describes a stochastic multiphase multichannel queuing system with an unlimited input capacity for the coordination of commercial business deals in an industrial enterprise. To build the model, it is proposed a conceptual map was used. The model allows experiments in the virtual world to optimize the parameters of a real process. As a result of experiments on the model, “bottlenecks” were identified in the process of negotiating deals. Recommendations are proposed to reduce the coordination time, which allows increasing the number of agreed business deals by 3 times.
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Fabianova, Jana, Jaroslava Janekova i Jozef Horbulak. "SOLVING THE BOTTLENECK PROBLEM IN A WAREHOUSE USING SIMULATIONS". Acta logistica 8, nr 2 (30.06.2021): 107–16. http://dx.doi.org/10.22306/al.v8i2.209.
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The uneven workload distribution and working time utilisation create a bottleneck, leading to inefficient utilisation of capacity and increased costs. A bottleneck is a limiting and risk factor for any business entity. In the case of a distribution warehouse, the bottleneck limits its ability to meet the requirements for sending an order within the required time limit. Delays at any phase of a distribution process may result in non-compliance with customer requirements. In solving capacity problems and bottlenecks elimination, computer simulations and optimisation are often used. The article presents a basic simulation analysis of workload distribution and work times, useful for logistics companies, thus for the area of human and financial resources. In the article, the use of simulations in the ExtendSim9 program to eliminate the bottleneck is discussed. The bottleneck is solved by experiments on a simulation model when optimal workers assignment to individual workplaces of the warehouse is sought. The two final proposals for workers allocation, with the current and increased number of workers, are compared in workforce utilisation and system stability. The simulation method allows verification of the proposals' impacts in advance and practically with no financial costs.
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Alves, Carina, i Higor Monteiro. "Integrating Exploitative and Explorative Thinking in Business Process Analysis: A Conceptual Model and Method". Revista de Informática Teórica e Aplicada 28, nr 1 (19.01.2021): 47–62. http://dx.doi.org/10.22456/2175-2745.106891.
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Ambidextrous BPM has gained increasing interest from researchers and practitioners in the last years. It refers to the ability to use exploitative and explorative capabilities in BPM projects. In this paper, we investigate how the integration of exploitative and explorative ideas can leverage the analysis of business processes. The key contributions of this paper are a conceptual model and a method that integrate ambidextrous thinking in a complementary way. Both artefacts were evaluated by means of an expert opinion survey. We also present a case study at an organisation that has implemented our proposed method. We believe that ambidextrous analysis of business processes enables organisations tackling current operational bottlenecks while simultaneously exploring external opportunities for designing innovation in business processes.
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Kopp, Andrii, Dmytro Orlovskyi i Ilyass El Arbaouti. "A SOFTWARE SOLUTION FOR QUALITY ASSESSMENT OF BUSINESS PROCESS MODELS". Computer systems and information technologies, nr 3 (28.09.2022): 91–100. http://dx.doi.org/10.31891/csit-2022-3-12.
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One of the primary tools of the BPM (Business Process Management) paradigm is business process modeling. Business scenarios can be presented in the form of graphical models that can be easily understood by both Information Technology (IT) professionals and non-IT professionals – business analysts, software customers, department heads, top managers, and other stakeholders interested in business process improvement – using business process modeling. Small and large businesses can capture their operations in the form of graphic diagrams using business process modeling as the fundamental tool of the BPM approach, which can then be brainstormed by business analysts to uncover ways to optimize organizational workflows. Typically, business process improvement is accomplished by the automation of operations that have been recognized as “bottlenecks” following analysis. However, analyzing a business process model is only viable if it is clear and correct in terms of compliance with both the notation used and the actual business process it reflects. Therefore, this work examines the structural measures of the BPMN (Business Process Model and Notation) business process model. It is assumed that business process models that violate business process modeling rules are neither understandable nor suitable for further work with them, which can also lead to various errors occurring during the stage of business process analysis, as well as the stage of its improvement and implementation of proposed changes, i.e., during development, testing, and maintenance of distinct software components, information system modules, and so on. The object of this work is a process of quality assessment of business process models created using the BPMN notation. The subject of this work is a software solution for the quality assessment of business process models. The goal of this work is the evaluation of a probability of errors in business process models to improve their quality.
Rozprawy doktorskie na temat "Business Model Bottlenecks"
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Roos, Malin, i Linda Rydman. "Portfolio Model Supporting Development of Purchasing Strategies A case study concerning raw materials at Casco Adhesives". Thesis, Linköping University, Department of Management and Economics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2801.
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In this thesis a complete portfolio model for supporting development of purchasing strategies for raw material at Casco Adhesives is developed. The model consists of a classification tool which divides the raw material into four distinct quadrants with different main tasks. The second part of the model is a strategy template which gathers necessary information dependent on the quadrant.
Książki na temat "Business Model Bottlenecks"
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Petit, Nicolas. Big Tech and the Digital Economy. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198837701.001.0001.
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To date, world antitrust and regulatory agencies have invariably described large technology companies—such as Google, Amazon, Microsoft, Apple, and Facebook—as dominant, bottleneck or gatekeeping companies comparable to the textbook monopolists of the early twentieth century. They have proceeded on this basis to discipline their business activities with unprecedented financial penalties and other regulatory obligations. This “techlash” is the subject of this book. Proceeding from the observation that big tech firms engage in both monopoly and oligopoly competition across digital markets, the book introduces a theory of moligopoly competition. It suggests that rivalry-spirited antitrust and regulatory laws are both conceptually and methodologically impervious to the competitive pressure that bears on big tech firms, resulting in a risk of well-intended but irrelevant policy intervention. The book proposes a refocusing of competition policy towards certain types of tipped markets where digital firms extract monopoly rents, and careful adoption of regulation toward other social harms generated by big tech’s business models.
Części książek na temat "Business Model Bottlenecks"
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Pery, Andrew, Majid Rafiei, Michael Simon i Wil M. P. van der Aalst. "Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities". W Lecture Notes in Business Information Processing, 395–407. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_29.
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AbstractThe premise of this paper is that compliance with Trustworthy AI governance best practices and regulatory frameworks is an inherently fragmented process spanning across diverse organizational units, external stakeholders, and systems of record, resulting in process uncertainties and in compliance gaps that may expose organizations to reputational and regulatory risks. Moreover, there are complexities associated with meeting the specific dimensions of Trustworthy AI best practices such as data governance, conformance testing, quality assurance of AI model behaviors, transparency, accountability, and confidentiality requirements. These processes involve multiple steps, hand-offs, re-works, and human-in-the-loop oversight. In this paper, we demonstrate that process mining can provide a useful framework for gaining fact-based visibility to AI compliance process execution, surfacing compliance bottlenecks, and providing for an automated approach to analyze, remediate and monitor uncertainty in AI regulatory compliance processes.
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Lahann, Johannes, Peter Pfeiffer i Peter Fettke. "LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks". W Lecture Notes in Business Information Processing, 229–41. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_17.
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AbstractAnomaly detection can identify deviations in event logs and allows businesses to infer inconsistencies, bottlenecks, and optimization opportunities in their business processes. In recent years, various anomaly detection algorithms for business processes have been proposed based on either process discovery or machine learning algorithms. While there are apparent differences between machine learning and process discovery approaches, it is often unclear how they perform in comparison. Furthermore, deep learning research in other domains has shown that advancements did not solely come from improved model architecture but were often due to minor pre-processing and training procedure refinements. For this reason, this paper aims to set up a broad benchmark and establish a baseline for deep learning-based anomaly detection of process instances. To this end, we introduce a simple LSTM-based anomaly detector utilizing a collection of minor refinements and compare it with existing approaches. The results suggest that the proposed method can significantly outperform the existing approaches on a large number of event logs consistently.
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Prasetya, Herbert Ray, Nazarruddin i Sugiharto Pujangkoro. "Shelf Allocation Redesign and Warehouse Management System Improvement to Optimize Warehouse Material Flow in Oleo Chemical Industry Business". W Proceedings of the 19th International Symposium on Management (INSYMA 2022), 1135–45. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_140.
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AbstractThe increase in production results in an increase in the flow of material in the warehouse, while this increase does not consider the condition of the warehouse. The increase in production and the number of erratic shipments of goods is caused by external factors such as fluctuations in demand and availability of containers that cannot be controlled that will result in a bottleneck in the warehouse. The purpose of this study is to redesign the allocation of shelves and improve technology in the warehouse management system. The research method uses a material flow simulation model in the warehouse. The simulation validation and manual calculations results show that the rack simulation for dove and soap required 4,018 pallet positions and flaking drumming simulations required 1,815 pallet positions. Meanwhile, in actual conditions, the rack for dove and soap is allocated 2,834 pallet positions and 2,400 pallet positions for flaking and bagging. Class division using the ABC Classification method is carried out so that Class A, which is a group of Fast-Moving items, is brought closer to the receiving department, Class B, which is a group of Slow-Moving items, is placed after the placement of class A, then class C, which is also a group of Slow-Moving items, is placed after class B. Moreover, the results of slow-moving product optimization are seen from a reduction of 32,608 pcs from 581,096 pcs in July 2021 to 525,281 pcs in December 2021, and a reduction of $92,485 from $774,644 in July 2021 to $620,292 in December in the slow-moving value.
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"Strategic Stratified Task Team Model for Innovating Business Processes". W Examining a New Automobile Global Manufacturing System, 138–68. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8746-1.ch008.
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To gain the position of a top runner of the 21st century, the author introduces the application study of driving force in New Japan Model (NMT) strategy that contributes to the evolution of Japanese automobile manufacturing strategy. In this chapter, the author refers to the significance and validity of Strategic Stratified Task Team Model (SSTTM) employing Strategic Cooperative Creation Team (SCCT) between the auto-assembly maker Toyota and typical non-affiliated supplier NOK. The validity of SSTTM is verified by successfully applying it to the technological problem automobile transaxle oil seal leakage of development design bottlenecks at auto manufacturers.
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Svensson, Ann, i Eva Hedman. "Operations Knowledge Management in Health Care". W Operations Management - Emerging Trend in the Digital Era [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93793.
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The aging population of the western world poses a medical challenge for the society of today and the future. The pressure on health care and its organization is increasing as the demand for health care is growing at the same time as the costs are continuously rising. There seems to be consensus regarding bottlenecks in health-care production systems, and that knowledge is needed in order to increase insights about operational decisions. This chapter is based on a qualitative case study conducted at a hospital in western Sweden. Eleven CEOs together with their production controllers were interviewed. The chapter aims to analyze knowledge management mechanisms in the infrastructure of a health-care organization. The analysis shows how mechanisms have significant impacts on the knowledge management practice in the operations management. A learning and knowledge creation culture, together with an organizational architecture for adaptive and exaptive capacity, and a business model for knowledge capitalization could support the production of smooth and effective health care in society, which is of high quality.
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Kaouni, Antonia, Georgia Theodoropoulou, Alexandros Bousdekis, Athanasios Voulodimos i Georgios Miaoulis. "Visual Analytics in Process Mining for Supporting Business Process Improvement". W Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210089.
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The increasing amounts of data have affected conceptual modeling as a research field. In this context, process mining involves a set of techniques aimed at extracting a process schema from an event log generated during process execution. While automatic algorithms for process mining and analysis are needed to filter out irrelevant data and to produce preliminary results, visual inspection, domain knowledge, human judgment and creativity are needed for proper interpretation of the results. Moreover, a process discovery on an event log usually results in complicated process models not easily comprehensible by the business user. To this end, visual analytics has the potential to enhance process mining towards the direction of explainability, interpretability and trustworthiness in order to better support human decisions. In this paper we propose an approach for identifying bottlenecks in business processes by analyzing event logs and visualizing the results. In this way, we exploit visual analytics in the process mining context in order to provide explainable and interpretable analytics results for business processes without exposing to the user complex process models that are not easily comprehensible. The proposed approach was applied to a manufacturing business process and the results show that visual analytics in the context of process mining is capable of identifying bottlenecks and other performance-related issues and exposing them to the business user in an intuitive and non-intrusive way.
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Khan, Syed Shahid. "Research on Green Supply Chain Finance Model With Multi-Party Participation". W Global Perspectives on Green Business Administration and Sustainable Supply Chain Management, 211–19. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2173-1.ch013.
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Green supply chain and green finance, like effective market means, have played an important role in environmental governance since the reform and opening up in China for 40 years, and have accumulated rich practical experience in many regions and fields. In the new stage of social development and environmental management system construction in the new era, the organic combination of green supply chain and green finance will be very important for speeding up the construction of ecological civilization and achieving the sustainable development of the Chinese nation. This chapter summarizes the current situation and existing problems of green supply chain and green finance, and analyses the reasons why green supply chain finance can be used as a means to break through the bottleneck of environmental management, and creatively puts forward a new model of green supply chain finance with multi-participation, which provides reference for the government, financial institutions, and enterprises to make environmental management decisions.
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Majumder, Abhishek, Sukanta Chakraborty, Swapna Nath i Malabika Sarkar. "Cooperative Caching in Wireless Mesh Networks". W Handbook of Research on Smart Technology Models for Business and Industry, 89–124. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3645-2.ch005.
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For reduction of gateway bottleneck effect, data access cost, and response delay, many cooperative caching schemes are available. But in all the existing schemes, whenever any data is newly cached or any data is evicted, the information needs to be broadcast to all the mesh access points (MAPs). As a result, communication cost increases. In this chapter, a cluster and sub-cluster-based cooperative caching scheme is designed to minimize the communication cost. Clusters and sub-clusters are formed by taking advantage of the static position of Mesh routers. Cluster-heads (CHs) are selected using minimum spanning tree and minimum weighted vertex cover algorithm. Then the clusters and sub-clusters are formed. CHs and other Maps keep different cache information tables, and based on those, cache decision is taken. Client mobility is also considered. The performance of the proposed scheme and some other existing schemes have been compared. It has been observed that in the proposed scheme, communication cost in terms of number of messages is reduced.
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Li, Yale, Yushi Shen i Yudong Liu. "Cloud Computing Networks". W Cloud Technology, 648–59. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch030.
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Cloud Computing has the potential to trigger a major computing model transformation for the IT industry. This chapter briefly describes the business and technical benefits of Cloud Computing and explains the technical challenges in Cloud Computing, such as the network bottleneck. One of the solutions to address the network problem is the Content Delivery Network (CDN). Here, the basics of the Akamai CDN technology is digested. Then, the authors conduct a CDN experiment in the Microsoft public cloud, Windows Azure, to demonstrate the benefits of CDN integration with the cloud. The results show significant gain in large data download by the utilization of a CDN. Finally, a couple of academic research ideas are summarized for future improvements on the CDN model.
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Kasemsap, Kijpokin. "Production Planning". W Ethics and Sustainability in Global Supply Chain Management, 50–72. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2036-8.ch003.
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This chapter explains the overview of production planning; the issues of remanufacturing production planning and control; Advanced Production Planning and Scheduling (APPS) and Radio Frequency Identification (RFID); production planning conflict resolution and optimization models; production planning and emission constraints; production planning and quality management; production planning and Cellular Manufacturing System (CMS); production planning in the steel industry; production planning in the energy industry; and production planning in the chemical process industry. The purpose of production planning is to organize the resources in order to efficiently manage the production costs, time, and staffing in the business operations. The individual in charge of production planning adjusts the workforce and process flow to obtain the regular utilization of organizational resources with minimal downtime, minimal bottlenecks, and a level of output consistent with all the resources being put into the manufacturing processes.
Streszczenia konferencji na temat "Business Model Bottlenecks"
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Lisienkova, T. S., i E. A. Isaev. "Analysis of business processes of agricultural enterprises for the implementation of IT innovations". W CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-135.
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This article touches upon digital transformation in agriculture. Firstly, classification of core business processes of agriculture is presented with examples of primary and support business processes at animal breeding farms. Later the article gives an overview of innovative information technologies used nowadays in agriculture worldwide. Finally, it is justified that for the successful digital transformation it is vital to evaluate current IT-maturity level of business processes in order to fix their “bottlenecks” before the implementation of innovative information technologies. While common models of IT-maturity, level does not take into account features of specific industries, it is necessary to develop a stand-alone model for agricultural companies.
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Starks, Jacob, Chandra Rai, Deepak Devegowda, Janet K. Allen i Farrokh Mistree. "Framing Evolving Market Structures Using a Business Model Canvas". W ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90367.
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Abstract As climate change makes it essential for the industry to move away from fossil fuels it is important to reconceptualize the entire system of energy production and distribution. In engineering design practice we focus on creating solutions and designs that may be highly effective and efficient without taking into account evolving market structures. We hypothesize that to realize evolving market structures, engineering design needs to be policy-driven and facilitate the monetization of investment by industry, and equitable social return on investment for the government and community. There is interest in transitioning to a low carbon hydrogen economy. There is a considerable body of work on making green hydrogen production cost-effective while also creating useful forms of carbon. There is little work done, however, on modeling the storage and distribution services for at-scale hydrogen deployment and cross-disciplinary modeling of technologies and services to enable an effective transition. In essence, current translation research is limited by an underlying assumption that the only obstacle to hydrogen adoption is achieving cost competitiveness, which disregards the roles that stakeholders (government, industry, and community) may play in enabling or hindering a transition. In this paper, we present an approach to identifying policies for transitioning to a low carbon hydrogen economy from a business (market structure) perspective. This involves framing a design problem for an evolving market from a policy-driven perspective. We use the business model canvas as the foundational framework to map the activities and services required to effectively supply resources and satisfy the demand to identify gaps in provided services and potential bottlenecks in transition or integration. We demonstrate this potential by using the business model canvas to identify a way forward in transitioning to a new market structure for a low carbon hydrogen economy.
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Alsaeedi, Ayesha, Mohamed Mubarak Albadi, Fahad Alharthi, Manar Elabrashy, Mohamed Alzeyoudi, Ammar Al-Ameri, Eissa Al Mheiri i in. "Optimization of Reservoir Monitoring Planning, Reporting, and Shortfall Identifications Using a Centralized Automated Integrated Asset Operation Model System". W ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211009-ms.
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Abstract With a vast reservoir with a complex and dynamic system production system containing more than 300 wells, both producers and injectors, keeping track of the field operational activity like Reservoir Monitoring Plan (RMP) jobs can lead to sub-utilization, confusion, lack of efficiency, and loss of time. This paper describes an integrated and collaborated method that supports monitoring and execution of field activity tasks utilizing the integrated production optimization platform and the business intelligence tools. Reservoir monitoring planning (RMP) is one of the critical workflows used to ensure the smooth execution of tasks at the required time. This enables the user to plan future tasks based on the reservoir behavior and have a quick comparison between actual and planned tasks. The process starts with inputting the planned tasks into the integrated system, categorizing the tasks based on types, and assigning the executors. The system sends reminders/notifications of the planned task approaching the task due date to all the stakeholders. It also provides an automated direct summary/bird's eye view utilizing the business intelligence tool. Using an integrated asset operation model (IAOM) solution in a digital platform, this planning and monitoring workflow has enabled the users to establish a standardized and unified central repository for the tasks to ensure the single source of truth. With the help of this advanced workflow, inter-departmental communication gaps have been reduced tremendously, thus enabling better execution, analysis, gaps, or bottleneck identification. The automated summary dashboard contains the comparison of the actual status of tasks versus planned tasks. This helps in optimal facility utilization based on dynamic RMP monitoring. Additionally, the integrated solution for planner, performer & approver enabled the users to prioritize the activity based on bottlenecks faced during the past months and reduce the times used to update the monitoring Excel sheets. This outlining process provides a standardized approach across the assets, leading to improved tracking efficiency, minimizing the time spent on manual monitoring, planning, and receiving automatic reminders to avoid delay in the planned tasks, which assisted the users in focusing on production optimization and solving different bottlenecks. This reservoir monitoring and planning approach aligns with the overall corporate strategy of using an integrated asset operation Model (IAOM) for providing end users with tremendous opportunities related to system optimization. This also supports the users’ drive to switch the approach from individual people oriented to standardized process oriented. This approach supports standardization of the work process across the organization and a minimum of $ 700K value proposition from manpower time saving over five years.
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Campagna, Dario, Caterina Caramuta, Giovanni Longo, Teresa Montrone i Carlo Poloni. "A BPMN model of rail port operations to evaluate potential capacity increase". W 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1141.
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The rapid growth of container movements deriving from the advent of globalization has caused a relevant pressure on ports. In this context, the port efficiency performances requested by the market have been met by an increased adoption of railway transport. Despite its environmental and economic sustainability, this intermodal transport solution is characterized by a high degree of complexity given by the execution of different activities and the involvement of several stakeholders. As such, the need of deeply analyzing logistics business processes has led to the embracement of modeling techniques, which allow practitioners to identify possible criticalities along the chain. In this regard, the selection of the appropriate modeling method and notation definitely influences the results of the process examination. In the present paper, the train departure process in the Port of Trieste, Italy, has been investigated in terms of information flows: to that end, the Business Process Modeling Notation (BPMN) standard has been used. On one hand, this task has enabled to clarify the documentary procedure occurring in diverse operational scenarios and, on the other hand, it has allowed also to recognize the process bottlenecks which hinder an increase in the railway traffic volume. Furthermore, a quantitative analysis concerning the terminal and gateway capacity, before and after the implementation of a technological intervention, has demonstrated the possible growth of train flows by modifying the process only at the organizational level. These accomplishments have proved to port managers the usefulness of applying a theoretical graphical representation to a practical transport process.
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Cernelev, Dumitru, Allan Chegus i Frank Lin. "Application of Multi-Nodal Network Simulation Models in Debottlenecking Complex Pipeline Network". W 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33349.
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The problem of identifying and removing bottlenecks in a multi-terminal oil & gas pipeline network while achieving quality and delivery targets is a very real and complex problem. The most effective way to meet the above business objective is to develop a terminal network simulation model. This paper is a case study describing the approach in designing a complex multi-nodal pipeline network simulation model with objective to resolve a critical inter-company storage problem for a major refiner. Various complex system modeling techniques and approaches are elaborated with a focus on practical application. A case study is also presented to demonstrate the practical application of the modeling techniques for terminal network simulation model development.
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Vernay, Anne-Lorène, Carine Sebi i Nuria Moratal-Ferrando. "Business ecosystems for sustainability: why and how firms and public partners share ecosystem leadership?" W New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.03.
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Systemic innovation that aims to tackle complex societal problems require multiple actors to coordinate their efforts and materialize through business ecosystems for sustainability (BMfS). BMfS aim to combine both market and environmental logics. We discuss what their distinctive characteristics and analyze how they influence the difficulties ecosystem leader encounter to be able to manage ecosystem coordination problems. This paper aims to discuss the importance of public actors in helping overcoming these coordination challenges by helping access bottleneck resources. It identifies a number of roles public actors can play and discusses the need to implement a hybrid leadership between public and private actors to enable the emergence and growth of business ecosystems for sustainability.
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Alsaeedi, Ayesha Ahmed Abdulla Salem, Eduard Latypov, Manar Elabrashy, Mohamed Alzeyoudi, Ammar Al-Ameri, Mohamed Albadi, Ahmed Al Bairaq i in. "Long Term Production Strategy - Application of a Dynamically Integrated Reservoir and Production Model to Identify Compression Requirements and to Address Production Deferral in a Giant Gas Field". W SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204533-ms.
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Abstract There are several operational challenges associated with a gas field producing in recycle or depletion mode, including a reasonable forecast and a robust production strategy planning. The complex reservoir dynamics further demands faster and reasonable analysis and decision-making. This paper discusses an all-inclusive integrated modeling approach to devise a production strategy incorporating the detailed compressor design requirements to ensure that a consistent production-stream is available in the long-term considering technical and economic aspects. The proposed production strategy is a two-fold approach. In the first step, the process utilizes the current reservoir simulation data in the production-forecast model. This history matched model captures the reservoir dynamics such as reservoir pressure decline and accounts for future wells drilling-requirements. However, the detailed production hydraulics in wellbore and surface facilities is not captured in the model. Further, to consider the declining well-performance and facility bottlenecks, integrated analysis is required. So, in the second step, the reservoir simulation model is dynamically integrated to take the input from the production model, encompassing detailed well and surface facility digital twins. The continuous interaction provides a highly reliable production profile that can be used to produce a production strategy of compressor design for the future. A strong interactive user-interface in the digital platform enables the user to configure various what-if scenarios efficiently, considering all anticipated future events and production conditions. The major output of the process was the accurate identification of the pressure-profile at multiple surface facility locations over the course of the production. Using the business-plan, field development strategy, production-profile, and the reservoir simulation output, reliable pressure-profiles were obtained, giving an indication of the declining pressures at gathering manifold over time. A well level production-profile-forecast helped in prioritizing wells for rerouting as well as workover requirements. As an outcome of this study, several manifolds were identified that are susceptible to high-pressure decline caused by declining reservoir pressures. To capture this pressure decline, a compressor mechanism was put in place to transfer the fluid to its delivery point. As this study utilizes several timesteps for the production forecast estimation, flexible routine options are also provided to the engineers to ensure that backpressure is minimized to avoid a larger back pressure on the wells for quick gains. This solution improves the efficiency of the previous approaches that were entirely relying on the reservoir simulation model to capture the pressure decline at the wellhead to forecast the compressor needs. In this methodology, the pressure profile at each node was captured to simulate a real production scenario. This holistic approach is in line with Operator's business plan strategy to identify the needs of external energy-source to avoid production-deferral.
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Kangilaski, Taivo, Ingrid Pappel, Markus Sihvonen i Marina Weck. "Cross-Border Communication and Service Provision within Silver Economy Domain: How to Sustain a Collaborative Platform for Seniors Services". W 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002275.
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The paper examines technological and organizational complexity related to cross-border data exchange and communication among public entities, private sector and seniors on the platform called Silver Hub. We need to look at challenges raised while designing architecture and business cases supporting service provision within the silver economy domain. In this project we have identified the main obstacles related to creation of the sustainable business strategy for the collaborative platform during its development. It is relatively easy to create a sustainable software architecture for the platform. However, creating a sustainable business model is much more complex. In addition to the business plan, it also requires a well-thought-out architectural vision which responds to stakeholders’ requirements. In order to be competitive, transparent and compliant, it makes sense to pursue ISO 9001, which in turn leads to the need for risk-based process management and continuous improvement. To make the platform sustainable, the external context must be analyzed to identify risks and opportunities. Based on the business plan, the organizational objectives and KPIs must be developed. Taking into consideration the business objectives, the strategic action plan will be created. Additionally, the business processes must be analyzed to determine the bottlenecks and main obstacles to achieve determined KPIs and objectives. Identified risks should be evaluated and mitigation action ought to be planned, as well as processes must be changed accordingly. As process-based risks are related to people, partners, customers, assets, IT, documents, resources, legislation, etc., the risk management approach must be determined via an internal control system, which monitors business functions. Thus, the organization and processes supporting the developed platform are much more complicated and quite often such complicity is underestimated.Moreover, in Enterprise Architecture management we need to focus on topics like sustainable process management and continuous improvement, organization and competence management, documented knowledge management, IT and risk management.In addition, there is a clear need to understand the problems a service user or a service provider could encounter. Developed Silver Hub platform helps to distribute innovative solutions to the problems faced by the aging population helping seniors live more independent and comfortable life with the use of digital means. However, we see the platform is tackling the challenges to meet the seniors needs that the governments are currently facing. Involvement of the seniors and their representatives more in their co-creative activities and wider participation during the implementation stages of service innovation helps overcome the gap.Thus, this experience research paper presents main findings that occurred during different project phases, based on what we derived recommendations with a relevant business plan, which contributes to the enterprise architecture designing cycle. That also includes the understanding of the country-based specifics with respect to cultural, political and legal context. Additionally, we have designed a framework as a structure for building collaboration and cross-border data exchange between innovation actors within the silver economy domain in the Baltic Sea Regions.
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Frolova, Irina Igorevna, Dmitry Olegovich Tailakov, Nikita Konstantinovich Kayurov, Stanislav Anatolyevich Frolov, Denis Nikolaevich Tokarev, Rustam Zakirzhanovich Kurmangaliev i Vladimir Nikolaevich Ulyanov. "Digital Platform for E&P Assets Business Process Optimization with a Module for Estimation and Optimizing of Portfolio of Investment Projects for Oil and Gas Production. Case Study." W Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208155-ms.
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Abstract Due to increase in cost and complexity of oil and gas production processes it becomes necessary to develop a platform for automated analysis of the main business processes of oil and gas assets for the automatic formation of investment projects portfolios for oil and gas production, taking into account the variability of technical and infrastructural characteristics, the mutual influence of objects and profitability indicators. The paper presents a description of platform prototype designed to form an optimized portfolio of investment projects for oil and gas production. The platform was developed using a process ontology, modern optimization tools and up-to-date techniques. The peculiarity of the proposed platform is in the use of a process ontology, which allows to link the life-time processes of objects with each other and throughout the entire time of asset assessment. The platform makes it easy to operate with real objects and their characteristics. The platform is based on the following models: – simulation model - repeats the business processes of the enterprise, indicating bottlenecks and improvement zones for management, it is a set of direct mathematical problems; – optimization model - creates opportunities for multi-criteria analysis, by eliminating manual processing, for modeling and managing various processes, as well as creating a wide range of development options (geological capabilities, geophysical interpretation, etc.). It is a solution to inverse problems with respect to specified criteria related to economic indicators. This paper shows the effect of implementing software based on the digital twin of enterprise processes, implemented as an integrated platform with the ability to connect specialized programs and simulators (SAP, 1C, IPM GAP, Repos, Eclipse, etc.) To calculate the economic indicators (FCF, NPV, PI, DPP) of individual investment projects and the formation, the possibilities of process optimization were taken into account in order to achieve the target indicators of the enterprise. As a result of the optimization, there is an enumeration of the options according to the algorithm and the selection of the most optimal ones, taking into account a variety of technological, landscape and hydrodynamic characteristics. Thus, a high-quality assessment of investment projects and taking into account a variety of characteristics when forming a portfolio of investment projects when forming a strategy for the development of an oil and gas asset is required. The novelty of the work lies in the developed multi-criteria optimization model. As a result of the performed work, the accuracy of calculations of technical and economic indicators and the optimality of the selected project portfolios for a given target function, taking into account the restrictions, implemented on the basis of digital twins of key business processes of oil and gas enterprises, were confirmed.
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Alsaeedi, Ayesha, Mohamed Mubarak Albadi, Fahad Alharthi, Manar Elabrashy, Mohamed Alzeyoudi, Ammar Al-Ameri, Eissa Al Mheiri i in. "Improved Field Production Planning and Cost Optimization Using Predictive Analytical Choke Performance Model and Intelligent Alarms in an Integrated Platform". W ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211314-ms.
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Abstract One of the critical aspects of production optimization and planning is to meet the production targets or to meet some operational requirements such as workovers or maintenance activities. This paper demonstrates how an advanced integration in a digital platform, coupled with a predictive analytical model for choke performance and intelligent alarming, can significantly help asset in production planning and cost optimization while accurately regulating the field rates. First, the bulk of well-test data from corporate databases is integrated into an advanced digital platform with an automated well-test validation workflow. The workflow output provides the choke tuning factors for each test while validating the well-test parameters. The digital platform provided the initial data check to ensure the validated tests with choke tuning factors were processed for further regression analysis. The network model in the digital platform for the entire asset was run for a predefined set of iterations to generate the representative choke tuning factors for each well, based on production test parameters and flow line pressure constraints. The regression analysis output was used to predict the choke sizes for different inflow performance rates and various operating wellhead pressures and vice versa. The predictive choke analytical model outputs were utilized to predict the choke size for a set of well parameters, such as rates and wellhead pressures, based on historical well performance. The choke sizes predicted could be used to identify preferred wells in an area to be controlled to achieve production targets, minimizing the operational effort and time. The predictive choke model with intelligent alarm feature provided users instantaneous insight into underperforming and overperforming wells, assisting them to take further actions in an effective way. The other intelligent alarms worked in combination to detect lifting problems associated with wells more efficiently, such as the liquid loading intelligent alarm. The predictive model was also valuable for efficient production planning in terms of setting the quarterly well allowable, choke sizes, or performing field capacity tests to meet the business production target on field & well level and to analyze short-term and medium-term forecast cases using an automated reservoir integration workflow in the digital platform. This was helpful in planning ahead of time for future operations and saving a significant amount of time and effort for engineers and the operation team. This specialized approach of predictive choke performance modeling in a digital platform provided asset a robust tool to plan and optimize their field production while leveraging the power of data-driven digital platforms consisting of closed-loop automated engineering workflows. The accuracy of prediction proved significant cost optimization and proactive planning, where the bulk of data was handled effectively and efficiently to identify production optimization opportunities and field bottlenecks.