Relevant bibliographies by topics / Demand Fluctuation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Demand Fluctuation'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Demand Fluctuation"

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YASUDA, Shohei, Kenji IKEDA, Takamasa IRYO, and Masaaki ISHIHARA. "DEMAND CURVE ESTIMATION METHOD FOR DESCRIBING DEMAND FLUCTUATION ON URBAN EXPRESSWAY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 76, no. 5 (2021): I_757—I_766. http://dx.doi.org/10.2208/jscejipm.76.5_i_757.

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Campuzano Bolarín, Francisco, Antonio Guillamón Frutos, and Andrej Lisec. "Assessing the Impact of Prices Fluctuation on Demand Distortion Within a Multi-echelon Supply Chain." PROMET - Traffic&Transportation 23, no. 2 (January 26, 2012): 131–40. http://dx.doi.org/10.7307/ptt.v23i2.140.

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Price fluctuation is a practice commonly used by companies to stimulate demand and a main cause of the Bullwhip effect. Assuming a staggered step demand pattern that responds elastically to retailer’s price fluctuation, and by using a supply chain management dynamic model, we will analyse the impact of these fluctuations on the variability of the orders placed along a traditional multilevel supply chain. Subsequently, the results obtained will serve to propose a forecasting model enabling to calculate the potential variability of orders placed by each echelon on the basis of the price pattern used. Finally, under the hypothesis of an environment of collaboration between the different members of the chain, we propose a predictive model that makes it possible to quantify the distortion of the orders generated by each level. KEYWORDS: Bullwhip effect, systems dynamics, price fluctuation, supply chain management
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Javaid, Saher, Mineo Kaneko, and Yasuo Tan. "Structural Condition for Controllable Power Flow System Containing Controllable and Fluctuating Power Devices." Energies 13, no. 7 (April 2, 2020): 1627. http://dx.doi.org/10.3390/en13071627.

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This paper discusses a structural property for a power system to continue a safe operation under power fluctuation caused by fluctuating power sources and loads. Concerns over global climate change and gas emissions have motivated development and integration of renewable energy sources such as wind and solar to fulfill power demand. The energy generated from these sources exhibits fluctuations and uncertainty which is uncontrollable. In addition, the power fluctuations caused by power loads also have the same consequences on power system. To mitigate the effects of uncontrollable power fluctuations, a power flow control is presented which allocates power levels for controllable power sources and loads and connections between power devices. One basic function for the power flow control is to balance the generated power with the power demand. However, due to the structural limitations, i.e., the power level limitations of controllable sources and loads and the limitation of power flow channels, the power balance may not be achieved. This paper proposes two theorems about the structural conditions for a power system to have a feasible solution which achieves the power balance between power sources and power loads. The discussions in this paper will provide a solid theoretical background for designing a power flow system which proves robustness against fluctuations caused by fluctuating power devices.
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El Hafsi, M., and S. X. Bai. "Multiperiod production planning with demand and cost fluctuation." Mathematical and Computer Modelling 28, no. 3 (August 1998): 103–19. http://dx.doi.org/10.1016/s0895-7177(98)00102-2.

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YOSHIDA, Kengo, and Yoshiro FUKUDA. "302 Capacity Planning based on Fluctuation of Demand." Proceedings of Manufacturing Systems Division Conference 2010 (2010): 39–40. http://dx.doi.org/10.1299/jsmemsd.2010.39.

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Sun, Zhongmiao, Qi Xu, and Baoli Shi. "Dynamic Pricing of Ride-Hailing Platforms considering Service Quality and Supply Capacity under Demand Fluctuation." Mathematical Problems in Engineering 2020 (July 16, 2020): 1–26. http://dx.doi.org/10.1155/2020/5620834.

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Increasing attention is being paid to the pricing decisions of ride-hailing platforms. These platforms usually face market demand fluctuation and reflect supply and demand imbalances. Unlike existing studies, we focus on the optimal dynamic pricing of the platforms under imbalance between supply and demand caused by market fluctuation. Dynamic models are constructed based on the state change of supply and demand by using optimal control theory, with the aim of maximizing the platform’s total profit. We obtain the optimal trajectories of price, supply, and demand under three ride demand situations. The effects of some key parameters on pricing decisions, such as coefficient of demand fluctuation, service quality, and fixed commission rate, are examined. We find the optimal dynamic price can improve the match of supply-demand in ride-hailing market and enhance the revenue of platform.
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Wang, Xiao Yan, and Jian Sun. "Buffet Effect Simulation Model on Demand Chain Management." Applied Mechanics and Materials 44-47 (December 2010): 688–92. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.688.

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Bullwhip effect means the magnification of demand fluctuations, which is evident in a supply chain when demand increases and decreases, while the concept of Demand Chain Management means to make the planning on the basis of the demand side information so as to solve the problem of inconsistent upstream and downstream information by means of partner collaboration in the supply chain. Demand chain emphasizes the customer demand as its core value so as to achieve the best balance between the supply chain efficiency and customer satisfaction. Compared with the supply chain, the demand chain advises the enterprise to strengthen the information transmission ability to promote the performance. Under the demand chain management, the extent of bullwhip effect are weakened, and the fluctuation range against demand chain management is lower than against traditional supply chain.
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Wei, Yongchang, Fangyu Chen, and Hongwei Wang. "Inventory and Production Dynamics in a Discrete-Time Vendor-Managed Inventory Supply Chain System." Discrete Dynamics in Nature and Society 2018 (September 19, 2018): 1–15. http://dx.doi.org/10.1155/2018/6091946.

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This paper presents some analytical results on production and order dynamics in the context of a discrete-time VMI supply chain system composed of one retailer and one manufacturer. We firstly derive the lower bound and upper bound on the range of inventory fluctuations for the retailer under unknown demand. We prove that the production fluctuations can be interestingly smoothed and stabilized independent of the delivery frequency of the manufacturer used to satisfy the retailer’s demand, even if the retailer subsystem is unstable. The sufficient and necessary stability condition for the whole supply chain system is obtained. To further explore the production fluctuation problem, the bullwhip effect under unknown demand is explored based on a transfer function model with the purpose of disclosing the influences of parameters on production fluctuations. Finally, simulation experiments are used to validate the theoretical results with respect to inventory and production fluctuations.
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Ghozali, Ghozali. "Pengaruh Iklim dan Fluktuasi Harga Bawang Merah dan Bawang Putih terhadap Pendapatan Petani (Studi Kasus pada Petani Sayur di Pacet Mojokerto)." JEBDEER: Journal of Entrepreneurship, Business Development and Economic Educations Research 1, no. 1 (December 11, 2017): 35–44. http://dx.doi.org/10.32616/jbr.v1i1.53.

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Many people are involved in the vegetable trade business, the majority of farmers in Pacet plunge in planting shallot and garlic, Along with the number of traders, the majority of demand more and more, and when the harvest price is very low and make the farmers lose, and when the season Rain arrives, farmers in the Pacet region many do not plant, so the scarcity of shallot and garlic price is rising. The purpose of this paper is the influence of climate and price fluctuations simultaneously affect the farmer's income, climate influence and price fluctuations affect partially on the market, the variables that predominantly affect the income level of farmers. The results showed that climate and fluctuation influence simultaneously to farmer's earnings that is X1 (Climate) and X2 (Price fluctuation) obtained F value count bigger than F table value (4,391> 3,35). Climate and price fluctuation have partial effect to farmer's income t value (3,45> 2,055) with significance level less than 0,05 0.008 and t variable X2 (price fluctuation) bigger than t table (8.561> 2.055) with significance level below 0.05 ie 0.002. And the most dominant variable influencing farmer's income is price fluctuation from SPSS result shows between variable X1 (climate) and variable X2 (price fluctuation) obtained In variable X1, pearson correlation 0,381 <pearson correlation X2 0,081 This means that variable X2 price fluctuations are more influential on farmers' income.
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Chen, Yixi, Gang Ma, Guchao Xu, Huaiyi Chen, and Hang Zhang. "Restraining the Demand Side Power Fluctuation of Active Distribution Network Using 0°/180° Phase Controlled Electric Spring." Journal of Electrical and Computer Engineering 2018 (July 2, 2018): 1–13. http://dx.doi.org/10.1155/2018/5950497.

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In active distribution network, the random power output by wind/solar distributed generation may cause the stochastic fluctuation of demand side power, which will bring difficulties to power dispatching. In this paper, a method of restraining the demand side power fluctuation of active distribution network is proposed, in which a new power electronic device—electric spring—is applied by 0°/180° phase control strategy. Firstly, the basic principles of electric spring are introduced. Secondly, the reason for demand side power fluctuation of active distribution network is analyzed. After that, the 0°/180° phase control strategy of electric spring is proposed to restrain the demand side power fluctuation of active distribution network and the selection basis of noncritical loads is also obtained. The simulation results show that the method proposed in this paper is effective and the obtained selection basis of noncritical loads is reasonable.
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Dissertations / Theses on the topic "Demand Fluctuation"

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Desta, Alemayehu. "Energy Supply and Demand Side Management in Industrial Microgrid Context." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1234/document.

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En raison de l'augmentation des coûts d'énergie et des préoccupations environnementales telles que les empreintes de carbone élevées, les systèmes de la production d'électricité centralisée se restructurent pour profiter des avantages de la production distribuée afin de répondre aux exigences énergétiques toujours croissantes. Les microgrids sont considérés comme une solution possible pour déployer une génération distribuée qui inclut des ressources énergétiques distribuées DERs (Distributed Energy Resources)(e.g, solaire, éolienne, batterie, etc). Dans cette thèse, nous traitons les défis de la gestion d'énergie dans un microgrid industriel où les charges énergétique sont constituées de processus industriels. Notre plan consiste à diviser la gestion de l'énergie du microgrid en deux parties: la production et la demande d’énergie.Du côté de la production d'énergie, les défis incluent la modélisation des générations de puissance et le lissage des fluctuations des DER. Pour modéliser les générations de puissance, nous proposons un modèle basé sur les concepts de service courbé de Network Calculus. En utilisant cet outil mathématique, nous déterminons une quantité minimale de puissance que les DERs peuvent générer; leur agrégation nous donnera une production d'énergie totale dans le microgrid. Après cela, s'il existe un déséquilibre entre la production et la demande d'énergie, nous proposons des stratégies différentes pour minimiser les coûts d'approvisionnement énergétique. Sur la base des données réelles de la consommation d'énergie d'un site industriel situé en France, des économies significatives peuvent être réalisées en adoptant ces stratégies. Dans cette thèse, nous étudions également comment atténuer les effets des fluctuations de puissance des DERs en conjonction avec des systèmes de stockage d'énergie. Pour cela, nous proposons un algorithme de lissage gaussien et nous le comparons avec des algorithmes de lissage trouvés dans l'état de l'art. Nous avons trouvé que l'algorithme proposé utilise de batterie de moins de taille à des fins de lissage par rapport à d'autres algorithmes. À cette fin, nous sommes également intéressés à étudier les effets de la gamme admissible des fluctuations sur les tailles de la batterie.Du côté de la demande, l'objectif est de réduire les coûts de l'énergie grâce aux approches de gestion de la demande DSM (Demand Side Management) telles que Demand Response (DR) et Energy Efficiency. Comme les processus industriels consomment énormément, une petite réduction de la consommation d'énergie en utilisant les approches DSM pourrait se traduire par des économies cruciales. Cette thèse se concentre sur l'approche DR qui peut profiter des prix variables de l'électricité dans le temps pour déplacer les demandes énergétiques des heures de pointe aux heures creuses. Pour atteindre cet objectif, nous comptons sur un modèle basé sur la théorie de file d'attente pour caractériser les comportements temporels (arrivée et départ des tâches) d'un système de fabrication. Après avoir défini les processus d'arrivée et de départ de tâches, une fonction d'utilisation efficace est utilisée pour prédire le comportement de la machine dans un domaine temporel et qui peut afficher son statut (allumé/éteint) à tout moment. En prenant le statut de chaque machine dans une ligne de production comme une entrée, nous proposons également un algorithme de planification DR qui adapte la consommation d'énergie d'une ligne de production aux deux contraintes de puissance disponibles et de taux de production. L'algorithme est codé à l'aide d’une machine d’état fini déterministe (Deterministic Finite State Machine) dans laquelle les transitions d'état se produisent en insérant une tâche à l'entrée du tapis roulant (on peut aussi avoir des transitions sans insertion de taches). Nous définissons des conditions pour l'existence d’un planificateur réalisable et aussi des conditions pour accepter positivement des demandes DRs
Due to increased energy costs and environmental concerns such as elevated carbon footprints, centralized power generation systems are restructuring themselves to reap benefits of distributed generation in order to meet the ever growing energy demands. Microgrids are considered as a possible solution to deploy distributed generation which includes Distributed Energy Resources (DERs) (e.g., solar, wind, battery, etc). In this thesis, we are interested in addressing energy management challenges in an industrial microgrid where energy loads consist of industrial processes. Our plan of attack is to divide the microgrid energy management into supply and demand sides.In supply side, the challenges include modeling of power generations and smoothing out fluctuations of the DERs. To model power generations, we propose amodel based on service curve concepts of Network Calculus (NC). Using this mathematical tool, we determine a minimum amount of power the DERs can generate and aggregating them will give us total power production in the microgrid. After that, if there is an imbalance between energy supply and demand, we put forward different strategies to minimize energy procurement costs. Based on real power consumption data of an industrial site located in France, significant cost savings can be made by adopting the strategies. In this thesis, we also study how to mitigate the effects of power fluctuations of DERs in conjunction with Energy Storage Systems (ESSs). For this purpose, we propose a Gaussian-based smoothing algorithm and compare it with state-of-the-art smoothing algorithms. We found out that the proposed algorithm uses less battery size for smoothing purposes when compared to other algorithms. To this end, we are also interested in investigating effects of allowable range of fluctuations on battery sizes.In demand side, the aim is to reduce energy costs through Demand Side Management (DSM) approaches such as Demand Response (DR) and Energy Efficiency (EE). As industrial processes are power-hungry consumers, a small power consumption reduction using the DSM approaches could translate into crucial savings. This thesis focuses on DR approach that can leverage time varying electricity prices to move energy demands from peak to off-peak hours. To attain this goal, we rely on a queuing theory-based model to characterize temporal behaviors (arrival and departure of jobs) of a manufacturing system. After defining job arrival and departure processes, an effective utilization function is used to predict workstation’s (or machine’s) behavior in temporal domain that can show its status (working or idle) at any time. Taking the status of every machine in a production line as an input, we also propose a DR scheduling algorithm that adapts power consumption of a production line to available power and production rate constraints. The algorithm is coded using Deterministic Finite State Machine (DFSM) in which state transitions happen by inserting a job (or not inserting) at conveyor input. We provide conditions for existence of feasible schedules and conditions to accept DR requests positively.To verify analytical computations on the queuing part, we have enhanced Objective Modular Network Testbed in C++ (OMNET++) discrete event simulator for fitting it to our needs. We modified various libraries in OMNET++ to add machine and conveyor modules. In this thesis, we also setup a testbed to experiment with a smart DR protocol called Open Automated Demand Response (OpenADR) that enables energy providers (e.g., utility grid) to ask consumers to reduce their power consumption for a given time. The objective is to explore how to implement our DR scheduling algorithm on top of OpenADR
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Barnichon, Regis. "Productivity, aggregate demand and unemployment fluctuations." Thesis, London School of Economics and Political Science (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498082.

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Bagliano, Fabio-Cesare. "Money, policy regimes and economic fluctuations." Thesis, London School of Economics and Political Science (University of London), 1996. http://etheses.lse.ac.uk/1437/.

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Part I deals with the estimation of money demand functions. Several non-structural interpretations of the conventionally estimated functions are surveyed and discussed (Chapter 1). An application to Italian data is then presented, focusing on two such interpretations. First (Chapter 2), the role of expectations in determining money demand behaviour is assessed. Since monetary policy regimes have a direct effect on the time-series properties of interest rates, the identification of clear regime changes may provide a powerful test of forward-looking models of money demand. An expectations model is constructed, which is stable in the face of the Italian monetary policy regime change in 1970, when traditional backward-looking money demand functions show remarkable instability. Second (Chapter 3), the existence of multiple long-run relations among the variables relevant to money demand is shown to create problems for the interpretation of single-equation estimates. To obtain a satisfactory specification of the long-run relations and the short-run dynamics of the system around equilibrium, a sequential procedure is devised and applied. In Part II, the controversy between "real" and "monetary" theories of fluctuations is examined (Chapter 4). A "monetary" equilibrium model of the cycle is constructed, extending the original Lucas "island" framework to allow for a powerful role for stabilization policy. The implications of alternative monetary policy regimes are derived and tested on U.S. data, comparing two periods (1922-1940 and 1952-1968) with a different policy stance. Chapter 5 investigates the relative importance of the "money" and "credit" channels of monetary transmission for Italy in the 1982-1994 period, using a structural VAR methodology. Monetary policy is effective, though not through a "credit channel", and independent disturbances to credit supply have sizeable real effects. In Chapter 6 the focus is shifted to anticipated fiscal policy actions and their effect on consumption. A long series of pre-announced income tax changes is examined for the U.K. Consumption reacts to such fiscally-induced disposable income changes only at the implementation dates.
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Seshadri, Srivathsan. "Dynamically adjusting the number of kanbans for demand fluctuations and stochastic process times." Diss., Online access via UMI:, 2007.

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Lammens, Laurence. "Les fluctuations saisonnières de demande : une approche microéconomique du comportement de la firme." Lille 1, 1994. http://www.theses.fr/1994LIL12010.

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Si la realite economique du phenomene des fluctuations saisonnieres de demande parait manifeste, la question des differentes modalites de reaction des firmes qui y sont confrontees, et notamment des circonstances qui les motivent reste entiere. Le but de la these est precisement de formaliser ces differents comportements, c'est a dire d'en definir les conditions et les limites d'optimalite. Le cadre d'analyse de cette etude theorique est base sur la consideration d'un marche a composante monopolistique sur lequel evolue une firme produisant un bien unique dont la demande fluctuante est representee par deux periodes d'activite distinctes. Ce contexte peut etre rendu plus ou moins contraint en supposant un produit de nature instockable et ou une rigidite absolue du prix pratique
The context fo this research is a firm in a monopolistic marcket. It products a single output for wich the demand is very fluctuating. We propose to define and analyse the different ways of adaptation of the firm, in terms of price and quantity adjustments, to these foreseeable and recurrent fluctuations of demand. We also examine the conditions in wich these equilibrium are keeping optimal when the situation is constrained by considering an unstockable output and or an absolute price rigidity
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Waddington, Thomas Bryan Platon. "Modelling spatiotemporal fluctuations of consumer demand in the UK grocery sector and their impact on retailers' store sales." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/18664/.

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Retail location planning in the grocery sector is used to aid location-based decision-making; addressing issues such as, store performance, store planning or for estimating demand. Location planning teams employ a range of sophisticated modelling techniques; this thesis draws on Spatial Interaction Models (SIMs). Spatiotemporal components have received limited attention in relation to retail location planning and this is addressed within this thesis. It is argued that spatiotemporal components of consumer demand fluctuate considerably within catchment areas, which has a direct impact of store sales, and that models, which have accounted for specific aspects of spatiotemporal demand result in better and more representative store revenue estimations. This thesis demonstrates the importance of spatiotemporal demand through an analysis of store level diurnal sales patterns which are related to observed consumer shopping habits, providing novel insight and improving our understanding of supply and demand-side spatiotemporal components. The insight is used to generate a series of spatiotemporal demand layers, which are used in conjunction with a (SIM) to generate spatiotemporally informed store level revenue estimations. Rare access to temporal EPOS transaction records at a store level and substantial loyalty card data provided by a major player in the UK grocery market presents novel opportunities for analysis. The data enables this thesis to generate insight into temporal fluctuations of store sales and the demand side drivers behind them, as well as, the geographies of consumer demand. The findings demonstrate evidence of distinct clusters of diurnal sales profiles in stores, which appear to be directly related to specific spatiotemporal demand types, and is used in conjunction with a SIM. The analysis shows that through adding spatiotemporal demand layers, demand estimates within catchment areas are far more representative and can lead to improved revenue estimations.
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Lehnbom, Mia, and Patrik Holmberg. "Effekten av demand-supply chain management : Fallstudie från trävaruindustrin." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19832.

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Enligt Carlsson och Rönnqvist (2005) och Frayret et al. (2007) blir det allt viktigare att arbeta med supply chain management inom trävaruindustrin. En utmaning är att finna ett arbetssätt för att hantera variationen i kundens efterfrågan. Idag hanteras variationen oftast genom onödigt stor lagerhållning (Lee et al., 1997b; So och Zheng, 2003).                                                                                 Syftet med studien är att utreda påverkande faktorer som bidrar till en varierande efterfrågan inom trävaruindustrin samt föreslå hur uppkomsten av dessa kan undvikas. För att svara på syftet har tre frågeställningar tagits fram och en fallstudie genomfördes på ett hyvleri. Informationsinsamlingen har skett genom intervjuer av anställda från olika avdelningar samt litteraturstudier. Studien visar att det finns flera utmaningar när det är stor variation på efterfrågan såsom brist på tillgång till prognoser och kommunikationsbrist med kunder. Det medför att planeringen av råvaruåtgången försvåras och det leder till svårigheter att uppnå leveransprecision.   Slutsatsen visar att de påverkande faktorer som bidrar till en varierad efterfrågan är prisvariationer, orderstorlek och orderfrekvens. Prisvariationer kan undvikas genom ABC-indelning av produkterna utifrån produktefterfrågan. Prognoser underlättar uppskattning av efterfrågan men för ett fungerande prognosarbete krävs samsyn, nära relation samt god kommunikation mellan kund och leverantör. Problem med orderstorlek och orderfrekvens kan reduceras om kunden får avgöra orderstorleken utan att specifika krav måste uppfyllas. Slutsatsen visar även att faktorer såsom väderlek, trender, mode, helgdagar och rotavdragets eventuella försvinnande påverkar variationen i efterfrågan.
According to Carlsson & Rönnqvist (2005) and Frayret et al. (2007) supply chain management in the wood products industry is getting more important. One of the challenges is to find a way to deal with customer’s fluctuating demand. Traditional solution to handle fluctuating demand is large inventory (Lee et al., 1997b; So & Zheng, 2003), which causes often high inventory cost for effective supply chain management.   The aim of the study is to investigate factors that affect a fluctuating demand in the wood products industry and suggest how to reduce the fluctuating demand through related factors analysis in order to improve Demand-Supply chain management efficiency. For this pursose, a case study on a planing is conducted. To collect data, interviews with employees from different departments have been made along with literature studies. The study presents that there are many challenges for the fluctuation demand such as lack of forecasts and lack of communication with customers. This, in turn, will cause problems with planning of the raw material as well as difficulties to deliver the goods on time.   The conclusion shows that the factors affecting a fluctuating demand are price variations, the orders batch size and order frequency. Price variations can be improved by ABC classification of the products by product demand. Forecasts will make the estimation of demand easier, although, in order to use forecasts properly a joint vision, close relationships and good communication with customer and supplier is required. Problems regarding batch size and order frequency can be reduced if the customer is allowed to decide the batch size with no specific requirements. The study also shows that factors such as weather, trends, fashion, holidays and disappearance of ROT work affects the fluctuating demand.
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Staudinger, Maximilian, and Marius Günl. "Supply Risk Management of Automotive Suppliers : Development in a Fluctuating Environment." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Centre of Logistics and Supply Chain Management, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-18420.

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Background: The implementation of procurement concepts such as JIT or singlesourcing have resulted in the emergence of new supply risks forautomotive suppliers. The economic crisis in 2008 and volatiledemand in recent years had enormous impact on the sector.Consequently, in association with lean purchasing models, newdimensions of supply risks have emerged. This creates the need forautomotive suppliers to adapt and improve their supply riskmanagement in response to the increased risk potential. There hasbeen no research on how automotive suppliers have furtherdeveloped their supply risk management recently. Purpose: The purpose is to examine how automotive suppliers have adaptedtheir supply risk management in response to the fluctuatingeconomy since 2008. Frame of reference: In this section the Kraljic matrix and the risk management processare presented. The theories lead to a synthesis including the researchquestions for fulfilling the purpose. Method: This research is based on a qualitative multiple case study. In orderto gather the necessary in-depth data, four automotive suppliersfrom Germany and Northern Europe were interviewed by theauthors. Conclusions: Automotive suppliers have clearly reacted on increasedconsequences of supply risks. The general grown awareness andsensitivity have lead to the implementation of new managementtools. Particularly the cooperation between supply chain membershas considerably intensified and contributed to a better riskreduction. Moreover, the financial stability of vendors has risen inimportance and is considered more thoroughly. All the instrumentsand methods may, however, be more powerful and efficient ifautomotive suppliers had standardized and linked them into aconsecutive process.
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Lind, Rutger, and Johan Törnblad. "Identification and Analysis of Market Indicators : a predictive tool for anticipating future demand fluctuations on the telecom mobile network equipment market." Thesis, Linköping University, Department of Management and Economics, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1107.

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Background: Forecasting is an instrument that the managers rely upon for their anticipations of the future. Subcontractors control their operations according to the forecast volumes provided by the telecom mobile network equipment suppliers. The information in the forecasts is however not sufficient.

Purpose: The purpose of this thesis is to identify and test relevant and available market indicators for prediction of future demand fluctuations on the telecom mobile network equipment market.

Realisation: During a number of interviews, factors that are driving the network equipment market were clarified. The aim of this part was to identify possible market indicators. Hypotheses were set up to test the chosen indicators. In the second part, the indicators were tested statistically. Finally, the theoretical and logical support of the results was discussed.

Result: To predict future movements in network equipment demand, the market indicators should focus on the telecom mobile operators, and their ability, need, and willingness to make new investments. The market indicators proven to be of most importance after the regression analyses were long-term market interest rates and telecom corporate bond indices.

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Jonasson, Jesper, and Tobias Rosén. "The influence of real estate price fluctuations on real estate stocks : An analysis of Swedish asset classes." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Nationalekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44330.

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With background to recent price growth in Swedish real estate and consequently real estate stocks, our aim is to examine the relationship between real estate price development and real estate stock price development. To test our hypothesis, that real estate price development have had an impact on the return of real estate stocks, we built a capital asset pricing model. We divide the return of real estate stocks into two parts, the return in relation to the Swedish market premium and the excess return that is given for the exposure of the real estate market. We found that real estate exposure would treat the investor with an additional return beyond the return given from stock market exposure; hence, real estate price development has contributed to real estate stock returns.
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Books on the topic "Demand Fluctuation"

1

Tamura, Hideaki. Human psychology and economic fluctuation: A new basic theory of human economics. Basingstoke [England]: Palgrave Macmillan, 2006.

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Tamura, Hideaki. Human psychology and economic fluctuation: A new basic theory of human economics. Basingstoke [England]: Palgrave Macmillan, 2006.

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Wen, Yi. Demand shocks and economic fluctuations. St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2006.

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Barnichon, Régis. Productivity, aggregate demand and unemployment fluctuations. London: Centre for Economic Performance, London School of Economics and Political Science, 2007.

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Caballero, Ricardo J. Price rigidities, asymmetries, and output fluctuations. Cambridge, MA: National Bureau of Economic Research, 1992.

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Braun, Helge. Supply shocks, demand shocks, and labor market fluctuations. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2007.

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Woodford, Michael. Self-fulfilling expectations and fluctuations in aggregate demand. Cambridge, MA: National Bureau of Economic Research, 1990.

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Mark, Gertler. Unemployment fluctuations with staggered nash wage bargaining. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Hassler, John. Variations in risk - a cause of fluctuations in demand. Stockholm: Stockholm University, Institutefor International Economic Studies, 1993.

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Cosgrove, Karen. What causes Irish recessions: Fluctuations inaggregrate demand or aggregrate supply? Maynooth, Co Kildare: Maynooth College, Department of Economics, 1994.

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Book chapters on the topic "Demand Fluctuation"

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Tamura, Hideaki. "The Effectiveness of Aggregate Demand Management Policy." In Human Psychology and Economic Fluctuation, 125–34. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230505636_7.

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Wang, Hua. "Fluctuation of the Chinese Automobile Market during and after the Financial Crisis." In Global Automobile Demand, 113–35. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137516176_6.

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Tamura, Hideaki. "Dynamic Analysis of Demand Psychology and Policy Implications." In Human Psychology and Economic Fluctuation, 135–52. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230505636_8.

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Liu, Junrong. "The Effect of Macroeconomic Factor Fluctuation on Tourism Demand." In Advances in Intelligent Systems and Computing, 1665–76. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1837-4_135.

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Agetsuma, Masakuni, Kenji Kono, Hideya Iwasaki, and Takashi Masuda. "Self-configurable Mirror Servers for Automatic Adaptation to Service Demand Fluctuation." In Advances in Computing Science – ASIAN 2003. Progamming Languages and Distributed Computation Programming Languages and Distributed Computation, 18–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-40965-6_3.

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Tang, Si-yao, Jiang-tao Mo, and Tian-yuan Liu. "The Coordination of Supply Chain with Random Fluctuation Price and Price-Dependent Demand." In Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015, 435–47. Paris: Atlantis Press, 2016. http://dx.doi.org/10.2991/978-94-6239-180-2_43.

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Dullien, Sebastian, Neva Goodwin, Jonathan M. Harris, Julie A. Nelson, Brian Roach, and Mariano Torras. "Aggregate Demand and Economic Fluctuations." In Macroeconomics in Context, 285–323. New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315644653-12.

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Goodwin, Neva, Jonathan M. Harris, Julie A. Nelson, Pratistha Joshi Rajkarnikar, Brian Roach, and Mariano Torras. "Aggregate Demand and Economic Fluctuations." In Principles of Economics in Context, 531–57. 2nd edition. | New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429438752-25.

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Flaig, Gebhard. "Demand Uncertainty and Labour Input in a Bivariate ARCH-M Model." In Output and Employment Fluctuations, 9–22. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57989-9_3.

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Aruka, Yuji. "The Law of Consumer Demand in Japan: A Macroscopic Microeconomic View." In Empirical Science of Financial Fluctuations, 294–303. Tokyo: Springer Japan, 2002. http://dx.doi.org/10.1007/978-4-431-66993-7_32.

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Conference papers on the topic "Demand Fluctuation"

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Udomsawat, Gun, Surendra M. Gupta, and Yousef A. Y. Al-Turki. "Multikanban model for disassembly line with demand fluctuation." In Photonics Technologies for Robotics, Automation, and Manufacturing, edited by Surendra M. Gupta. SPIE, 2004. http://dx.doi.org/10.1117/12.516202.

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Zhu, Jiali, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo, and Swee S. Kuik. "Extended EOQ model considering demand fluctuation in reverse logistics." In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). IEEE, 2015. http://dx.doi.org/10.1109/sice.2015.7285546.

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Wei, Jingmin, Jiafu Tang, and Liu Huanjie. "Analysis of supplier-buyer lot-sizing game model and demand fluctuation under stochastic demand." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622817.

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Asahara, M., A. Shimada, H. Yamada, and K. Kono. "Finding candidate spots for replica servers based on demand fluctuation." In 2007 International Conference on Parallel and Distributed Systems. IEEE, 2007. http://dx.doi.org/10.1109/icpads.2007.4447737.

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Zhang, Feixi, Peng Wu, and Dazhuan Wu. "Study on Pressure Fluctuation and Fluctuation Reduction of a Micro Vortex Pump." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-21884.

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With the increasing demand of small-flow and high-head pumps, vortex pump, which can be used in industry, agriculture, medical and aerospace etc., has become more and more popular as low specific pump. However, the pressure fluctuation of fluid in the vortex pump would cause flow noise and vibration which may result in damage to the equipment. Clearly, it is important to reduce the fluctuation causing by fluid flow as much as possible. This study examined and discussed the law of pressure fluctuation in a micro vortex pump by the method of numerical simulation. In addition, a random distribution method was applied to design two new impellers with different blade spacing. Moreover, the influence on pressure fluctuation of different blade positions was predicted by theoretical analysis and CFD analysis. The results show that the blade passing frequency is dominative in the pressure fluctuation. Although the average static pressure distribution on the circumference of the micro vortex pump increased gradually along inlet to outlet, the pressure pulse amplitudes were fluctuant and the maximum amplitude area was close to the stripper. Affected by the vortex motion in the pump, there were clutters in the spectrum from inlet to outlet even for the vortex pump with uniform circumferential blade spacing. The study also indicated that uneven circumferential spacing would yield additional frequency in the spectrum compared with even one and reduce the magnitude of the dominant frequency without decreasing the performance of the pump sharply. Based on the consequence, this paper proves the feasibility of applying uneven blade spacing to reduce pressure fluctuation in a vortex pump. And it could be meaningful for the noise and vibration reduction as well as development of vortex pumps.
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Jin, Wentao, Zhijia Xie, and Bei Li. "Battery energy storage system smooth photovoltaic power fluctuation control method and capacity demand analysis." In 2014 17th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2014. http://dx.doi.org/10.1109/icems.2014.7013594.

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Braillard, Olivier, Olivier Berder, Fre´de´ric Escourbiac, and Slim Constans. "An Advanced Mixing Tee Mock-Up Called “The Skin of the Fluid” Designed to Qualify the Numerical LES Analyses Applied to the Thermal Evaluation." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93662.

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Nowadays, the LES (Large Eddy Simulation) models have reached an advanced stage in the thermal hydraulic numerical analyses. Particularly, in the mixing tee geometry, the LES allows the thermal, temperature fluctuations cartography — both in amplitude and frequency — to be evaluated. However, for the purpose of mechanical studies a better determination of the fluctuation temperature which impacts the wall would be of significant interest, magnitude of the fluctuation being directly linked to the lifetime of the Tee. This demand steps of experimental qualifications based on cartographic comparisons between numerical and experimental results, not compatible with basic current experiments proposing only local measurements. A mixing tee mock-up (␀ 50 mm) called “the skin of the fluid” was designed to show the real time observation of the temperature fluctuations in the mixing area with a digital infrared device. With its low Biot number the mock-up is quasi permeable to the fluctuation and does not attenuate the temperature amplitude at high frequency, consequently, the infrared image represents the temperature fluctuations which impacts the wall. An existent LES numerical analysis performed with the TRIO U code (developed by the CEA) on the same geometry is shown for a first comparative approach.
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Zhu, Jiali, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo, and Swee S. Kuik. "Extended EOQ model considering recycling, repair and reuse in reverse supply chain with two types of demand fluctuation." In 2016 International Symposium on Flexible Automation (ISFA). IEEE, 2016. http://dx.doi.org/10.1109/isfa.2016.7790152.

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Gadalla, Mohamed A. "Developing an Agility Model for Maximum Responsiveness to the Changes in Customer Requirements for SMEs." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1148.

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Small and Medium Size Enterprises (SMEs) face increased market pressure due to demand fluctuation and the shift of the consumer focus from high volume/low mix to high mix/low volume environment. Costumer requirement as seen by SME’s can be summarized as: quantity scaling, unpredicted and sudden demands, on-time and quicker delivery times, and increased number of customized products. This paper proposes an agility realization model for SMEs to achieve higher responsiveness to these requirements. The agility model is based on integrating four main agility enablers: quick manufacturing response strategies, multi channel manufacturing approach, high mix/low volume techniques and collaborative networks. A case study is presented to demonstrate the proposed approach. The framework presented in this paper represents a roadmap for SMEs to raise their internal efficiency, achieve maximum responsiveness that will increase their competitive edge.
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Bai, Yun, Liyun Fan, Xiaolu Dong, Xiuzhen Ma, and Enzhe Song. "Fuel Injection Quantity Fluctuation Prediction of Common Rail System Based on Bond Graph Model." In ASME 2015 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icef2015-1070.

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Common rail injection system (CRIS) is an advanced technology which meets the stringent emission standards of diesel engines and satisfies consumer demand for better fuel efficiency and increased power. The coherence of fuel injection quantity is the key injection characteristic for CRIS to match diesel engines successfully. As a critical component for CRIS, the variation of injector characteristic parameters has significant influence on the coherence of fuel injection quantity of the system. In this paper, combining numerical modeling and design of experiments, the response predicted relation between fuel injection quantity fluctuation of CRIS and its influence factors had been investigated. A numerical model of common rail injector was presented for the purpose of creating a tool for simulation experiments. The model is developed using power bond graph method, which is a modeling method that has shown its superiority in modeling systems consisting of sub-models from several energy domains in a unified approach. Experiments were conducted at the same model conditions to validate the model. The results are quite encouraging and in agreement with model predictions, which imply that the model can accurately predict the fuel injection quantity of CRIS and it can be used to simulation and design experiments. Experiments were designed using D-optimal method in which the characteristic parameters of common rail injector were chosen as design factors and the fuel injection quantity fluctuation was selected as the response. The fuel injection quantity fluctuation responses at different design factor levels were obtained using the developed numerical model which had been validated. A regressive prediction model of fuel injection quantity fluctuation was suggested according to the simulation experiments by means of partial least-squares regression (PLR) analysis. Analysis of variance, normal distribution of standardized residuals and relation between observed and predicted fuel injection quantity fluctuation for the regressive prediction model were analyzed which demonstrate the favorable goodness of fit and significance of the regressive model to predict fuel injection quantity fluctuation of the system. By changing design factor levels, the comparisons between numerical results of the bond graph model and the predicted fuel injection quantity fluctuation of the regressive prediction model were conducted. Results show that the regressive prediction model can reliably predict the fuel injection quantity fluctuation caused by the variation of characteristic parameters of common rail injector. Research results of this paper can provide novel ideas to predict fuel injection quantity fluctuation and a theoretical guidance for design and parameters optimization of CRIS.
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Reports on the topic "Demand Fluctuation"

1

Wen, Yi. Demand Shocks and Economic Fluctuations. Federal Reserve Bank of St. Louis, 2006. http://dx.doi.org/10.20955/wp.2006.011.

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Wen, Yi, Pengfei Wang, and Jess Benhabib. Sentiments and Aggregate Demand Fluctuations. Federal Reserve Bank of St. Louis, 2012. http://dx.doi.org/10.20955/wp.2012.039.

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Benhabib, Jess, Pengfei Wang, and Yi Wen. Sentiments and Aggregate Demand Fluctuations. Cambridge, MA: National Bureau of Economic Research, September 2012. http://dx.doi.org/10.3386/w18413.

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Braun, Helge, Reinout De Bock, and Riccardo DiCecio. Supply Shocks, Demand Shocks, and Labor Market Fluctuations. Federal Reserve Bank of St. Louis, 2007. http://dx.doi.org/10.20955/wp.2007.015.

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Woodford, Michael. Self-Fulfilling Expectations and Fluctuations in Aggregate Demand. Cambridge, MA: National Bureau of Economic Research, May 1990. http://dx.doi.org/10.3386/w3361.

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Shapiro, Matthew. Are Cyclical Fluctuations in Productivity Due More to Supply Shocks or Demand Shocks? Cambridge, MA: National Bureau of Economic Research, February 1987. http://dx.doi.org/10.3386/w2147.

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December 2019 issue – The Bridge. ACAMH, November 2019. http://dx.doi.org/10.13056/acamh.9715.

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Summaries include; if parental consanguinity predicts the severity of Autistic symptoms; study the transmission of intergenerational anxiety in families; systematic review into the effectiveness of available interventions to treat PTSD; the efficacy of teacher assessments vs exams to assess performance in UK schools; relationship between intolerance of uncertainty and extreme demand avoidance in young people with Autism; and how fluctuations in external environmental noise affect the developing Autonomic Nervous System in babies.
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