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نتیجه جستجو - برنامه ریزی استراتژیک

تعداد مقالات یافته شده: 24
ردیف عنوان نوع
1 Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach
طراحی و برنامه ریزی زنجیره تأمین روغن پایین دستی تحت عدم اطمینان با استفاده از رویکرد برنامه نویسی فازی-2021
This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems.
Keywords: Strategic and tactical planning | Downstream oil supply chain | Optimization | Fuzzy programming | Uncertainty
مقاله انگلیسی
2 Organic-waste-derived butyric acid-to-biodiesel supply-chain network: Strategic planning design using a deterministic snapshot model
شبکه زنجیره تامین اسید بوتیریک اسید به بیودیزل مشتق شده از مواد آلی: طراحی برنامه ریزی استراتژیک با استفاده از یک مدل عکس فوری قطعی-2021
An integrated optimization model for an organic-waste-derived butyric acid-to-butanol supply-chain network (BABSCN) is proposed to minimize the total network cost by simultaneously optimizing both strategic biodiesel production and waste management planning decisions. This model is useful for ensuring effective organic-waste provision for large-scale biodiesel production and waste management. The proposed mixed-integer linear-pro- gramming model optimizes the activities ranging from organic-waste preprocessing to butyric acid (BA), transportation of BA to biorefinery, butanol (BuOH) production and mixing with diesel to the distribution of biodiesel. This model is useful for forecasting organic-waste management biodiesel supply chains in South Korea in 2030. The case study results show that a total network cost of $US 3.16/gallon of B3 contains 3% BuOH from organic waste products combined with diesel. The biorefinery-related cost accounts for 98.3% of the total network cost, followed by the organic waste procurement cost (1.1%) and biodiesel distribution cost (0.6%). A scenario-based analysis shows that a 7%-BuOH increase in biodiesel increases the total network cost by 18.8%.
Keywords: Strategic planning | Supply chain | Organic waste | Biodiesel | Optimization | Cost
مقاله انگلیسی
3 Supply chain management of butyric acid-derived butanol: Stochastic approach
مدیریت زنجیره تأمین بوتانول مشتق از اسید بوتیریک: رویکرد تصادفی-2021
In this study, a stochastic model for strategic planning of the butyric acid-to-butanol supply chain network (Ba- to-Bu SCN) is developed to consider variations in the butanol (Bu) demand and butyric acid (Ba) supply derived from industrial/municipal waste. The proposed stochastic model can help determine where and how much Ba to process, Bu to produce, and Ba/Bu to transport to minimize the total cost of the Ba-to-Bu SCN design under Ba processing and Bu demand uncertainties. The features and capabilities of the stochastic model are validated and compared to those of the deterministic model by application of the future Ba-to-Bu SCN design for South Korea in 2030. The optimization results illustrate that the expected total cost of Ba-derived Bu by the stochastic model (US$4898.55 thousand per year) was at least 0.18% more economical that that of the deterministic model (US$4889.72 thousand per year). The goal of this study is to develop a decision making tool for a stochastic strategic problem to improve bio-economy caused by uncertainties. The proposed approach will help balance cost efficiency with stability in the uncertain future biorefinery infrastructure.
Keywords: Strategic planning | Optimization | Organic waste | Stochastic model | Butanol | Supply chain
مقاله انگلیسی
4 A data management framework for strategic urban planning using blue-green infrastructure
یک چارچوب مدیریت داده برای برنامه ریزی شهری استراتژیک با استفاده از زیرساخت های آبی سبز-2021
Spatial planning of Blue-Green Infrastructure (BGI) should ideally be based on well-evaluated and context specific solutions. One important obstacle to reach this goal relates to adequate provisioning of data to ensure good governance of BGI, i.e., appropriate planning, design, construction, and maintenance. This study explores the gap between data availability and implementation of BGI in urban planning authorities in Sweden. A multi method approach including brainstorming, semi-structured interviews with urban planners and experts on BGI and Geographical Information System (GIS), and validating workshops were performed to develop a framework for structured and user-friendly data collection and use. Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the organisation of data management and the skills of trans-disciplinary cooperation to better understand and interpret different types of data. Moreover, different strategic goals require different data to ensure efficient planning of BGI. This calls for closer interactions between development of strategic political goals and data collection. The data management framework consists of three parts: A) Ideal structure of data management in relation to planning process, data infrastructure and organisa- tional structure, and B) A generic list of data needed, and C) The development of structures for data gathering and access. We conclude that it is essential to develop pan-municipal data management systems that bridge sectors and disciplines to ensure efficient management of the urban environment, and which is able to support the involvement of citizens to collect and access relevant data. The framework can assist in such development.
keywords: زیرساخت آبی سبز | مدیریت اطلاعات | برنامه ریزی فضایی | برنامه ریزی استراتژیک | مدیریت طوفان | انطباق تغییرات اقلیمی | فضاهای سبز شهری | Blue-green infrastructure | Data management | Spatial planning | Strategic planning | Stormwater management | Climate change adaptation | Urban green spaces
مقاله انگلیسی
5 AI-based competition of autonomous vehicle fleets with application to fleet modularity
رقابت ناوگان خودروهای مستقل مبتنی بر هوش مصنوعی با کاربرد در مدولار بودن ناوگان-2020
Because operational environments change over time and technology upgrades are common in fleets of ground vehicles, a large number of vehicles quickly become obsolete. A possible solution is to develop fleets of modular vehicles, which are built with interchangeable components, i.e. modules. This paper evaluates the performance of a future reconfigurable and autonomous vehicle fleet in a high fidelity mili- tary operation scenario. The military fleet operates in a hostile environment under a high risk of damage and needs to react to adversarial actions in real-time. The operation decisions are numerous including vehicle reconfiguration, relocation, damage recovery, and dispatch decisions. Given the limited resources and time delays in the operation, decision effectiveness and foresightedness are necessities, which re- quire a good understanding of the adversary, close collaboration among commanders, and breaking of the equilibrium between adversaries. To capture these characteristics, we formulate an intelligent agent- based model for the decision-making process during fleet operations by combining real-time optimiza- tion with artificial intelligence. With continuous updating of learning models, the intelligent agents refine their decisions during interactions with the environment and other agents, and evolve their competition strategies according to adversarial historical behaviors. With the same level of resources, the conventional fleet wins when the dispatch decisions are stochastic. However, once each fleets start to learn from each other’s behavior, the modular fleet outperforms the conventional fleet. The strategic and operational ben- efits of fleet modularity are revealed and discussed in terms of win rate, adaptability, unpredictability and damage recovery.
Keywords: Multi-agent systems | Decision processes | Artificial intelligence | Strategic planning
مقاله انگلیسی
6 Bridging strategic planning and business model management - A formal control framework to manage business model portfolios and dynamics
پل زدن برنامه ریزی استراتژیک و مدیریت مدل کسب و کار - یک چارچوب کنترل رسمی برای مدیریت نمونه کارها و پویایی مدل های تجاری-2020
Despite the increasing interest in the intersection between strategic planning and business model management, research and practice struggle to integrate the two activities. By applying a rationalist view and drawing on the formal control theory, we develop an integrated management framework that provides a conceptual model of how to achieve consistency between the relevant goal and the planning levels. Therefore, we decompose the complex organizational activities into the level strategy, business model portfolio, tactics, and operations. For each level, we specify the formal activities and objectives and elaborate how the levels determine each other. Furthermore, we explain how higher and lower level formal control loops ensure alignment and that the appropriate level of the organization responds to changes in the environment. Finally, we discuss how these formal control mechanisms allow for proficient management of the dynamics inherent in strategy and business model management.© 2019 Elsevier Ltd. All rights reserved.
Keywords: Formal control | Formal planning | Strategic planning | Business model portfolio | Business model dynamics
مقاله انگلیسی
7 Maize production and environmental costs: Resource evaluation and strategic land use planning for food security in northern Ghana by means of coupled emergy and data envelopment analysis
تولید ذرت و هزینه های زیست محیطی: ارزیابی منابع و برنامه ریزی استراتژیک کاربری اراضی برای امنیت غذایی در شمال غنا با استفاده از تجزیه و تحلیل آمیخته و پوشش داده ها-2020
This paper applies an integrated methodology which is constituted of the following: (i) the Emergy-Data Envelopment Analysis (EM-DEA), (ii) environmental Cost-Benefit Analysis (CBA), (iii) Value Chain Analysis (VCA), and (iv) Sustainability Balanced Scorecard (SBSC) approaches, -to support multicriteria decision analysis (MCDA) for strategic agricultural land use planning, which could contribute to improve food security in northern Ghana. Five scenarios of land use and resource management practices for maize production were modelled. The business-as-usual scenario was based on primary data, which were collected using semi-structured questionnaires administered to 56 small-scale maize farmers through personal interviews. The dominant land use was characterised by an external input ≤12 kg/ha/yr inorganic fertilizer with/without the addition of manure in rainfed maize systems. The project scenarios were based on APSIM simulations of maize yield response to 0, 20, 50 and 100 kg/ha/yr urea dosages, with/without supplemental irrigation. The scenarios were dubbed as follows: (1) no/low input systems were denoted by Extensive0, Extensive12, and Intercrop20, and (2) moderate/high input systems were denoted by Intensive50, and Intensive100. The EM-DEA approach was used to assess the resource use efficiency (RUE) and sustainability in maize production systems, Ghana. The measured RUE and sustainability were used as a proxy for further analyses by applying the environmental CBA and VCA approaches to calculate: (a) the environmental costs of producing maize, i.e. resource use measured as total emergy (U), and (b) benefits from the yielded maize, i.e. (b i) food provision from grain measured in kcal/yr, and (b ii) potential electricity (bioenergy) which could be generated from residue measured in MWh/yr. The information which was derived from the applications of the EM-DEA, CBA and VCA approaches was aggregated by applying the SBSC approach to do a sustainability appraisal of the scenarios. The results show that, when labour and services are included in the assessment of RUE and sustainability, Intercrop20 and Intensive50 achieved greater marginal yield, better RUE, sustainability and appraisal score. The same scenarios caused lesser impacts in terms of expansion of area cultivated compared to Extensive0 and Extensive12. Meanwhile the impacts of Intercrop20 and Intensive50 in terms of ecotoxicity, emissions, and demand for resources (energy, materials, labour and services) were lesser compared to Intensive100. The implications of the various scenarios are discussed. The environmental performance of the scenarios are compared to maize production systems in other developing regions in order to put this study within a broader context. We conclude that, the EM-DEA approach is useful for assessing RUE and sustainability of agricultural production systems at farm and regional scales, as well as in connecting the management planning level and regional development considerations.
Keywords: Food security | Sustainable agriculture | Strategic land use planning | Emergy-Data envelopment analysis | Environment-biomass-food-energy nexus | Sub-Saharan Africa
مقاله انگلیسی
8 Exploring the views of forest industry companies on the long-term forestry development in Russia: A case study in Republic of Karelia
بررسی دیدگاه های شرکت های صنعت جنگل در مورد توسعه بلند مدت جنگلداری در روسیه: یک مطالعه موردی در جمهوری کارلیا-2020
Forest industry companies are the chief exploiters of forest resources, and their day-to-day decisions and actions may have major implications for the sustainable development of forests, and for those who depend on them. Russian companies have a special place in this regard as they operate in the most forested country in the world and the local forest resources have considerable global effects. In this study, the concerns and views of an expert group from Russian wood harvesting companies in regard to forests and forestry development in the long term are scrutinized through a case study in Republic of Karelia, one of the main forest regions in Russia. The study employed a two-stage survey carried out by interviewing representatives from the companies in order to identify critical issues that they think will influence long-term forestry development. The survey combined an un- structured interview approach for the first stage and cumulative voting (CV) for the second. The identified data were summarized into a PESTE (Political, Economic, Social, Technological and Environmental) framework to obtain a general overview of the macro environments in the study area. The results show that the companies views were mainly influenced by the technological, political and economic issues faced by the Russian forestry sector last decades, while social and environmental dimensions were considered of minor significance. The companies did not refer to the concept of sustainable development. Forestry was largely associated with the management of own business demands.
Keywords: Bioeconomy | Sustainable development | Strategic planning | Russia | Boreal forest | Cumulative voting
مقاله انگلیسی
9 Capturing the Collaboration Intensity of Research Institutions Using Social Network Analysis
گرفتن توانایی همکاری موسسات پژوهش با استفاده از تجزیه و تحلیل شبکه های اجتماعی-2017
The relevance of collaborations among scientists is growing steadily in order to address complex research problems. On the basis of research institutions this trend of increased collaboration is being shaped through interdisciplinary research centres, institutional networks or centres of excellence. The identification and promotion of collaborative research within the own university has become a crucial part of strategic planning. Using CRIS-Data as enrichment for decision-making seems to be a practical and obvious approach since in this environment research information across all disciplines are getting consolidated explicitly. In the field of scientometrics examining research collaboration with methods taken from the social network analysis is widely accepted. Instead of analysing the macro-level of science, this paper deals with the potential benefits of using methods from the social network analysis in providing quantitative information about the intra-organizational collaboration for purposes of research management.
Keywords: quantitative measurement of CRIS Data | intra-organizational research collaboration | strategic planning | social network analysis
مقاله انگلیسی
10 Using Pareto filters to support risk management in optimization under uncertainty: Application to the strategic planning of chemical supply chains
استفاده از فیلترهای پارتو برای حمایت از مدیریت ریسک در بهینه سازی تحت عدم قطعیت: کاربرد در برنامه ریزی استراتژیک زنجیره های عرضه مواد شیمیایی-2017
Optimization under uncertainty has attracted recently an increasing interest in the process systems engi neering literature. The inclusion of uncertainties in an optimization problem inevitably leads to the need to manage the associated risk in order to control the variability of the objective function in the uncertain parameters space. So far, risk management methods have focused on optimizing a single risk metric along with the expected performance. In this work we propose an alternative approach that can handle several risk metrics simultaneously. First, a multi-objective stochastic model containing a set of risk metrics is formulated. This model is then solved efficiently using a tailored decomposition strategy inspired on the Sample Average Approximation. After a normalization step, the resulting solutions are assessed using Pareto filters, which identify solutions showing better performance in the uncertain parameters space. The capabilities and benefits of our approach are illustrated through a design and planning supply chain case study.
Keywords: Financial risk metrics | Uncertainty | Multi-objective | Pareto filters
مقاله انگلیسی
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