Relevant bibliographies by topics / Bullwhip Effect

Academic literature on the topic 'Bullwhip Effect'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Bullwhip Effect.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Bullwhip Effect"

1

Jin, Ming, Nicole DeHoratius, and Glen Schmidt. "Want to reduce the bullwhip? Measure it. Here’s how." Supply Chain Management: An International Journal 22, no. 4 (June 12, 2017): 297–304. http://dx.doi.org/10.1108/scm-02-2017-0088.

Full text
Abstract:
Purpose The popular “beer game” illustrates the bullwhip effect where a small perturbation in downstream demand can create wild swings in upstream product flows. The purpose of this paper is to present a methodical framework to measure the bullwhip effect and evaluate its impact. Design/methodology/approach This paper illustrates a framework using SKU-level data from an industry-leading manufacturer, its distributors, end-users and suppliers. Findings Firms benefit from tracking multiple intra-firm bullwhips and from tracking bullwhips pertinent to specific products, specific suppliers and specific customers. The framework presented in this paper enables managers to pinpoint bullwhip sources and mitigate bullwhip effects. Research limitations/implications This paper presents a framework for methodically measuring and tracking intra-firm and inter-firm bullwhips. Practical implications A disconnect exists between what is known and taught regarding the bullwhip effect and how it is actually tracked and managed in practice. This paper aims to reduce this gap. For the various products analyzed herein, the authors show how using this framework has the potential to reduce delivered product cost by 2 to 15 per cent. Social implications Properly managing the bullwhip leads to lower inventories and potentially lower product prices while simultaneously increasing firm profits. Originality/value This paper presents a novel approach to systematically tracking intra-firm bullwhips along with bullwhips specific to a given supplier or customer.
APA, Harvard, Vancouver, ISO, and other styles
2

Hohmann, Susanne, and Stephan Zelewski. "Effects of Vendor-Managed Inventory on the Bullwhip Effect." International Journal of Information Systems and Supply Chain Management 4, no. 3 (July 2011): 1–17. http://dx.doi.org/10.4018/jisscm.2011070101.

Full text
Abstract:
The bullwhip effect means that demand variability increases as one moves up the supply chain. In the following article the bullwhip effect is quantified for each part of the supply chain which is presupposed to consist of a producer, a wholesaler, a retailer, and a consumer. After considering the causes of the bullwhip effect, it will be shown with the help of a nonlinear optimization model to what extent the bullwhip effect can be reduced using vendor-managed inventory (VMI) as one concept of Collaborative Planning, Forecasting and Replenishment (CPFR). In contrast to other studies in this field the reduction of the bullwhip effect will be accurately quantified for each part of the supply chain.
APA, Harvard, Vancouver, ISO, and other styles
3

Yebabe, Yohannes. "The Bullwhip Effect." International Journal of Applied Logistics 5, no. 1 (January 2014): 33–51. http://dx.doi.org/10.4018/ijal.2014010103.

Full text
Abstract:
Supply chain management is a fledgling science which concerned with synchronization of both material flow and information flow by integrating companies for a common objective to meet the requirements of the end customer. Bullwhip effect is an important research topic of the supply chain management. The Bullwhip effect is precarious to both short and long run competitive advantage, the dependability sustainability advantage of the chain. This paper proposes to show the impact of the Bullwhip effect on the supply chain using experimentally simulated data from Beer distribution game. The game represents a simple supply chain which consists of factory, distributor, wholesaler and retailer. The paper used empirical models of ANOVA, spectral density estimation, ARMAX and Cochrane- Orcutt autoregression. The result of the study prevails that when we quantify the impact of the Bullwhip effect to different actors of the supply chain with respect of inventory holding cost and stock-out case it is found that different cost implications. When quantifying the impact of the Bullwhip effect to the whole supply chain it is found that at least one of the competitive advantages of the chain is lost. When generalizing it the all the actors in the supply chain will suffer from the Bullwhip effect. The overall evidence from statistical causality analysis suggest that without proper both intra-organizational and inter-organizational coordination of the companies across the supply chain it is difficult to have effective and efficient customer relationship management, customer demand management and inventory management.
APA, Harvard, Vancouver, ISO, and other styles
4

Ma, Le, Yi Chai, Ying Ying Zhang, and Lu Zheng. "Modeling and Analysis of the Bullwhip Effect in Remanufacturing Closed-Loop Supply Chain." Applied Mechanics and Materials 541-542 (March 2014): 1556–61. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1556.

Full text
Abstract:
In this paper, the closed-loop supply chain bullwhip effect as the research object, according to the bullwhip effect value comparison shows the existence of reverse supply chain can reduce the bullwhip effect, and recovery products rate is higher, the effect of reducing the bullwhip effect is more obvious. In demand mutations conditions, recovery products rate higher the bullwhip effect in favor weakened. In the random demand conditions, with the recovery products rate increases, suppliers bullwhip effect decreased significantly.
APA, Harvard, Vancouver, ISO, and other styles
5

Ma, Junhai, and Xiaogang Ma. "A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers." Abstract and Applied Analysis 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/796384.

Full text
Abstract:
We examine the impact of three forecasting methods on the bullwhip effect in a two-stage supply chain with one supplier and two retailers. A first order mixed autoregressive-moving average model (ARMA(1, 1)) performs the demand forecast and an order-up-to inventory policy characterizes the inventory decision. The bullwhip effect is measured, respectively, under the minimum mean-squared error (MMSE), moving average (MA), and exponential smoothing (ES) forecasting techniques. The effect of parameters on the bullwhip effect under three forecasting methods is analyzed and the bullwhip effect under three forecasting methods is compared. Conclusions indicate that different forecasting methods lead to different bullwhip effects caused by lead time, underlying parameters of the demand process, market competition, and the consistency of demand volatility between two retailers. Moreover, some suggestions are present to help managers to select the forecasting method that yields the lowest bullwhip effect.
APA, Harvard, Vancouver, ISO, and other styles
6

Gupta, Sachin, and Anurag Saxena. "Predicting the impact of operational and financial variables on bullwhip effect using threshold regression: Indian context." Journal of Global Operations and Strategic Sourcing 13, no. 2 (May 25, 2020): 211–27. http://dx.doi.org/10.1108/jgoss-05-2019-0040.

Full text
Abstract:
Purpose The operational aspects of supply chain, when handled correctly, results in diminishing the impact of the bullwhip effect. The purpose of this study is to analyze the impact of operational and financial variables on the bullwhip effect. Various operational factors that contribute to the bullwhip effect in a supply chain are identified and their impact on variability in production is measured at manufacturer’s end in the supply chain. Design/methodology/approach Ten different sectors of the Indian economy are identified and analyzed on the basis of bullwhip effect. The ratio of change in production with respect to change in demand is taken as a metric to measure the bullwhip effect. Initially, the impact of identified variables on bullwhip effect is analyzed using the linear regression analysis and then to gain more insights, the threshold regression model is applied according to the change in bullwhip ratio. Findings The study identifies four threshold regions in which bullwhip ratio is changing its slope considerably. The operational and financial variables impacting bullwhip effect differently in these four regions provide useful insights about how the variables are impacting the bullwhip effect. Research limitations/implications Past 11 years of observations on identified operational and financial variables are studied for ten different sectors. The operational and financial variables are identified on basis of available literature but may not be exhaustive in nature. Practical implications The present study implies that the emphasis must be given to the magnitude of the bullwhip ratio. Strategies must be adopted that result in mitigation of bullwhip effect. Such mitigation strategies must not only be restricted on the basis of type of product or sector, perhaps they must be on the basis of threshold region of bullwhip ratio. Originality/value The study suggests a novel approach to study the bullwhip effect in supply chain management using the application of threshold regression considering the bullwhip ratio as a threshold variable.
APA, Harvard, Vancouver, ISO, and other styles
7

Chao, Yu Fang. "The Bullwhip Effect in Supply Chain and Countermeasures." Advanced Materials Research 711 (June 2013): 799–804. http://dx.doi.org/10.4028/www.scientific.net/amr.711.799.

Full text
Abstract:
As supply chain involves a wide spread of enterprises, it is inevitable to have a bullwhip effect. The reason, why bullwhip effect occurs, includes such factors as demand forecast, delay in delivery, bulk orders and others. Bullwhip effect results increased inventory, differences in supply and demand, posing great risks on enterprise operation. To reducing the bullwhip effect in supply chains, such strategies as establishing an information-sharing platform, establishing strategic partnerships, direct ship and transit, stabling market demand fluctuations, should be taken, which will improve the competitiveness of enterprises in supply chain.
APA, Harvard, Vancouver, ISO, and other styles
8

Ma, Junhai, Binshuo Bao, and Xiaogang Ma. "Inherent Complexity Research on the Bullwhip Effect in Supply Chains with Two Retailers: The Impact of Three Forecasting Methods Considering Market Share." Abstract and Applied Analysis 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/306907.

Full text
Abstract:
An important phenomenon in supply chain management which is known as the bullwhip effect suggests that demand variability increases as one moves up a supply chain. This paper contrasts the bullwhip effect for a two-stage supply chain consisting of one supplier and two retailers under three forecasting methods based on the market share. We can quantify the correlation coefficient between the two retailers clearly, in consideration of market share. The two retailers both employ the order-up-to inventory policy for replenishments. The bullwhip effect is measured, respectively, under the minimum mean squared error (MMSE), moving average (MA), and exponential smoothing (ES) forecasting methods. The effect of autoregressive coefficient, lead time, and the market share on a bullwhip effect measure is investigated by using algebraic analysis and numerical simulation. And the comparison of the bullwhip effect under three forecasting methods is conducted. The conclusion suggests that different forecasting methods and various parameters lead to different bullwhip effects. Hence, the corresponding forecasting method should be chosen by the managers under different parameters in practice.
APA, Harvard, Vancouver, ISO, and other styles
9

Zhang, Ji Hai, and Quan Quan Zhang. "The System Dynamics Analyses of Bullwhip Effect in China Processed Oil Supply Chain." Applied Mechanics and Materials 295-298 (February 2013): 3310–17. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.3310.

Full text
Abstract:
Bullwhip effect is a serious problem in supply chain management, it brings about production disorder, inventory imbalance, business process obstruction, waste of resources and market chaos. Our processed oil supply chain is so a large complicated system that bullwhip effect of it is more serious. To deal this problem, this paper discussed China processed oil supply chain, aim at maintaining processed oil supply, analysed the strength of bullwhip effect in the chain, proved delay is the basic reason of bullwhip effect and pointed out reducing delay is the key point to weaken bullwhip effect. We used system dynamics analysis and Anylogic simulation software to get the conclusion. Finally, we put forward some effective strategies to deal with bullwhip effect in China processed oil supply chain for improving the chain's operating efficiency.
APA, Harvard, Vancouver, ISO, and other styles
10

Nagaraja, Chaitra H., and Tucker McElroy. "The multivariate bullwhip effect." European Journal of Operational Research 267, no. 1 (May 2018): 96–106. http://dx.doi.org/10.1016/j.ejor.2017.11.015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Bullwhip Effect"

1

O'Donnell, Tina. "Supply chain optimisation : reducing the bullwhip effect." Thesis, University of Ulster, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435603.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dahlin, Klara, and Oscar Säfström. "Causes of the bullwhip effect : A study of the bullwhip effect in the Volvo Group Service Market Logistics’ supply chain." Thesis, Linköpings universitet, Logistik- och kvalitetsutveckling, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177968.

Full text
Abstract:
The bullwhip effect is defined as an upstream amplification of demand variability and has received interest within multinational companies for decades. As early as in the 1950’s, Forrester (1958) discussed what is today known as the bullwhip effect, which has a negative impact on the customer service, costs, and inventory investment in a supply chain (Lee et al., 1997). Even though the bullwhip effect has been noticed in various industries, the consequences, in form of decreased availability and increased costs the further up the supply chain the bullwhip goes, still remain. The employees at Volvo Group Service Market Logistics suspect that their supply chain has been affected by the bullwhip effect and want to know if it is correct and subsequently know why it has occurred. Therefore, this master’s thesis highlights the root causes of the bullwhip effect and presents strategies to mitigate it. To understand how the bullwhip effect affected the Volvo Group Service Market Logistics’ supply chain, the purpose was formulated as follow: The purpose of this study is to identify events in the Volvo Group Service Market Logistics’ supply chain where the bullwhip effect has occurred, its root causes, and how to reduce or eliminate the bullwhip effects.  The studied flow was from the Central Distribution Center (CDC) in Ghent, to the Regional Distribution Center (RDC) in Brazil, to the Dealers associated to the RDC in Brazil, and the customers. Data was collected from each node and events were studied to find bullwhip events. After sorting out the part numbers that passed the criteria for bullwhip events, the amount of data had to be reduced even more. A couple of different conditions were applied which resulted in four suitable bullwhip events. Thereafter, the authors conducted interviews with Logistics Managers at each node of the supply chain to find the root causes of the bullwhip effect in each studied event.  Among the several found root causes, lack of information transparency was the most frequent occurring root cause, found in three out of four studied bullwhip events. Insufficient communication and lack of information sharing cause bullwhip effects, and the authors found that improved communication both between and within the nodes will contribute to better planning, and consequently avoided bullwhip effects. Other root causes found were issues with the ordering system, lack of learning and experience, neglected lead times, fear of empty stock, price fluctuations, and phase-out of the spare part.  To reduce or eliminate the bullwhip effect, the focus was on mitigating the root causes since the root causes create opportunities for the bullwhip effect to occur. Four suggestions were given with suitable mitigation strategies found in the literature, where the four suggestions were sales campaigns, prepare for boosts, keep track of manually placed orders, and ordering system and Logistics Manager behavioural issues. The suggestions could then be connected to the different found root causes. The stated suggestions and mitigation strategies focused on mitigating the root causes in a long-term perspective and consequently the bullwhip effect itself.
APA, Harvard, Vancouver, ISO, and other styles
3

Iyer, Harikumar, and Saurabh Prasad. "Statistical process control approach to reduce the bullwhip effect." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40105.

Full text
Abstract:
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007.
Includes bibliographical references (leaves 66-68).
The bullwhip effect is a pervasive problem in multi echelon supply chains that results in inefficient production operations and higher inventory levels. The causes of the bullwhip effect are well understood in industry and academia. Quantitative and qualitative solutions to attenuate this effect have been proposed in various research studies. In this research a quantitative solution in the form of a Statistical Process Control (SPC) based inventory management system is proposed that reduces the bullwhip effect while reducing inventory without compromising service level requirements for a variety of products. The strength of this methodology is in its effectiveness in reducing bullwhip for fast moving products in the mature phase of their lifecycles where improving production efficiency and lowering inventory investment are critical. However, fill rate issues are observed for slow moving products and therefore, the methodology is not recommended for such products. Finally, the application of this methodology to reduce the bullwhip effect is illustrated for a product family of a medical devices company. The results for the different classes of products in this family are discussed.
by Harikumar Iyer [and] Saurabh Prasad.
M.Eng.in Logistics
APA, Harvard, Vancouver, ISO, and other styles
4

Villegas, Morán Felipe Antonio. "Supply chain dynamics, structural causes of the bullwhip effect." Thesis, University of Manchester, 2005. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564143.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wangphanich, Pilada Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "A simulation model for quantifying and reducing the bullwhip effect." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2008. http://handle.unsw.edu.au/1959.4/43272.

Full text
Abstract:
Over the past of decade, the bullwhip effect has increasingly become a popular topic for researchers and practitioners in the area of supply chain management since it negatively influences cost, inventory, reliability and other important business processes in supply chain agents. Although there are many remedies for the bullwhip effect summarised in existing literature, it still occurs in several industries. This is partly because it is difficult to apply the results from existing research which analyse the bullwhip effect mainly in a simple supply chain. In addition, several tools and methodologies developed are used for analysing the bullwhip effect in a simple supply chain with several constraints. Therefore, this research aims to develop a unique simulation approach based on system dynamics modelling and Adaptive Network Based Fuzzy Inference System (ANFIS) for quantifying and reducing the bullwhip effect in a multi-product, multi-stage supply chain. System dynamics modelling which is a powerful simulation approach for studying and managing complex feedback system was selected as a main tool in this research. In addition, ANFIS was implemented in system dynamics modelling in order to increase the reliability of a system dynamics model for modelling soft variables. The proposed model covers variables influencing the bullwhip effect which are the structure of supply chain network, supply chain contributions and supply chain performances. As a result, a two layer simulation with three generic models was developed. The flexibility of this proposed model is the ability to model various types of ordering policies which are basic inventory policies, Material requirement planning (MRP) system and Just in time (JIT) approach. Three actual manufacturing supply chains were used as case studies to validate and demonstrate the flexibility of the model developed in this research. This model satisfactorily quantifies the bullwhip effect and the bullwhip effect levels identified in these case studies are significantly decreased by using the proposed simulation model. The successful results indicate that the model can be a useful alternative tool for supply chain managers to quantify and reduce the bullwhip effect in multi-product, multi-stage supply chains.
APA, Harvard, Vancouver, ISO, and other styles
6

Qu, Zhan, and Horst Raff. "Centralized versus Decentralized Inventory Control in Supply Chains and the Bullwhip Effect." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229867.

Full text
Abstract:
This paper constructs a model of a supply chain to examine how demand volatility is passed upstream through the chain. In particular, we seek to determine how likely it is that the chain experiences a bullwhip effect, where the variance of the upstream firm’s production exceeds the variance of the downstream firm’s sales. We show that the bullwhip effect is more likely to occur and is greater in size in supply chains in which inventory control is centralized rather than decentralized, that is, exercised by the downstream firm.
APA, Harvard, Vancouver, ISO, and other styles
7

Tambat, Abhishek Ramesh. "Prediction and prevention of the bullwhip effect in replenishment supply chains." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117942.

Full text
Abstract:
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-66).
Nikes replenishment supply chain stages finished goods and materials at distribution centers and factories to provide short replenishment lead times to customers. Make-to-stock supply chains are particularly susceptible to the risks of the bullwhip effect, where demand information is distorted as it is transmitted up the chain from customers to suppliers. The information distortion leads to a sub-optimal capacity planning and inventory allocation that leads to stock-outs or excess inventory. While the literature on bullwhip analysis is rich, most of the prior work is developed based on simplistic assumption of a single stage supply chain model with only one product. These simplistic models fail to address challenges and identify relevant parameters in a complex supply chain with thousands of SKUs. Further the simplistic analysis fails to change the underlying behavior that causes bullwhip in the first place. In this work, we address all above challenges in three steps. First, we understand the inventory ordering model and the process map to identify the relevant indicators. Second, through pattern recognition, the inventory ordering patterns are clustered in three groups. We develop a hierarchical decision tree model that isolates the statistically significant features for the bullwhip effect. Finally, we team up with the stakeholders to guide their behavior towards mitigating the bullwhip effect.
by Abhishek Ramesh Tambat.
M.B.A.
S.M.
APA, Harvard, Vancouver, ISO, and other styles
8

Peng, Ronghe, and Yi Xiao. "How to manage the bullwhip effect in the supply chain : A case study on Chinese Haier Group." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-16288.

Full text
Abstract:
This thesis intended to increase the understanding of bullwhip effect in electrical appliance industry in the Chinese market. In the supply chain management, the bullwhip effect is a phenomenon can never be ignored. The bullwhip effect has being defined as information distortion when orders move form downstream enterprises to the supplier (Lee et al 1997b). The distortion information was amplified step by step, and finally propagates to the enterprise marketing, logistics, manufacture and other fields. The existence of the bullwhip effect weakens the ability to add value and competitiveness of the supply chain. Hence, enterprises must collaborate and jointly mitigate the bullwhip effect to reach groups coexist. This work focus on the electrical appliance industry in China, and based on the successful experience of the case company, Haier Group, to formulate recommendations. Firstly, this research analysis the four causes of the bullwhip effect: demand forecast, price fluctuations, order quantity and short game (Lee et al 1997a). After analyze these causes, this study begins to identify the impacts which the bullwhip effect bring to the members of supply chains. The most obvious impacts can be defined as inaccurate forecasting, inadequate customer service and high inventory cost. Next, the paper evaluate the measures of Haier implement to dampen the bullwhip effect. Information sharing, the key point to solve the problem has been use in Haier. In addition to this, the Just in Time (JIT) strategy which include JIT purchase, JIT delivery and JIT distribution is another important measure for Haier to achieve the goal of mitigate the bullwhip effect.  Overall Every Control and Clear (OEC) management was created by Haier Group and aims to improve the supply chain management, is another countermeasure to deal with the bullwhip effect. Besides, the inventory management also have an important role in gaining the control of bullwhip effect. In summary, the successful experience on dampening the bullwhip effect of Haier can shine a light for electrical appliance industry in China on solving the similar problem. Information sharing is always the key point to mitigate the bullwhip effect, and related instructions should build to remove the barriers of sharing information.
APA, Harvard, Vancouver, ISO, and other styles
9

Andrade, Alexandre Maçada. "Bullwhip effect e capacidade absortiva das empresas : uma pesquisa com múltiplos casos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18438.

Full text
Abstract:
O funcionamento da cadeia de suprimentos é um tema atual que tem motivado muitas pesquisas para o entendimento da sua dinâmica como fonte de obtenção de vantagem competitiva. O bullwhip effect - efeito de oscilação de demanda dentro da cadeia de suprimentos - é um dos causadores de ineficiências operacionais e de consequentes gastos desnecessários. Esse fenômeno ainda não foi estudado em sua totalidade; a maioria das pesquisas até então utilizaram-se de análises quantitativas, não levando em conta fatores qualitativos presentes em situações de oscilação de demanda, tais como: a experiência do programador de demanda, as capabilidades desenvolvidas pela empresa e os métodos que ela utiliza para integrar o conhecimento sobre o fenômeno. Esta pesquisa contribui nesse sentido. Coloca em evidência, por meio da análise qualitativa do bullwhip effect e dos fundamentos do processo de capacidade absortiva. Busca-se integrar esses dois conceitos, até então não abordados conjuntamente. A reunião desse referencial e dos resultados obtidos por intermédio das observações deverá fornecer subsídios para a melhor compreensão do fenômeno. A estratégia de pesquisa selecionada se deu por meio de estudos de caso com três empresas brasileiras, de diferentes setores. Entrevistaram-se sete executivos das empresas, responsáveis pela programação da produção e a análise de demanda. Foram encontrados muitos pontos convergentes entre a literatura e a prática empresarial, principalmente sobre os fundamentos da capacidade absortiva em uma situação de bullwhip effect, como também entre as diferentes dimensões da capacidade absortiva per se. A principal contribuição da pesquisa está em integrar orientações teóricas e ações práticas desenvolvidas pelas empresas sob o bullwhip effect, relacionadas com a capacidade absortiva, dando destaque aos fatores humanos, o que propicia um referencial mais abrangente para examinar esses processos. Em nível gerencial, oferece-se subsídios aos gestores no aprimoramento de técnicas de absorção do conhecimento em situações de oscilação de demanda, tornando suas previsões e a produção mais eficientes.
The operation of the supply chain is a current topic and it has motivated many researches in order to understand its dynamic as source of obtaining competitive advantage. The bullwhip effect - the effect of oscillating demand inside the supply chain - is one of the originators of operational inefficiencies and consequent unnecessary expenditure. This phenomenon has not been studied in its totality yet; most researches have used quantitative analysis so far, not taking into account qualitative factors which are present in oscillating demand situations, such as: the experience of the demand manager, the capabilities developed by the company and the methods which it uses to integrate the knowledge about the phenomenon. This research contributes in this sense. It highlights through the bullwhip effect qualitative analysis and the process fundamentals of absorptive capacity. It pursuits to integrate these two concepts which have not thus far been approached together. The reunion of this reference and the obtained results through remarks should provide subsidies for better comprehension of the phenomenon. The research strategy selected was through case studies with three Brazilian companies of different sectors. Seven executives of the companies were interviewed; they are responsible for the production programming and for the demand analysis. Many convergent points were found between literature and the business practice, mainly concerning the fundamentals of absorptive capacity in a bullwhip effect situation, as well as among the different dimensions of absorptive capacity per se. The main contribution of the research is to integrate theoretical orientations and practical actions developed by the companies under the bullwhip effect, which are related to the absorptive capacity, highlighting to the human factors, which provides a reference more comprehensive to examine these processes. In a managerial level, subsidies are offered to the managers in the improvement of the absorption techniques of the knowledge in oscillating demand situations, making their forecasts and the production more efficient.
APA, Harvard, Vancouver, ISO, and other styles
10

Onuoha, Augustina Tina. "Strategies to Minimize the Bullwhip Effect in the Electronic Component Supply Chain." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6258.

Full text
Abstract:
Supply chain leaders in the information technology industry face challenges regarding their ability to mitigate amplified demand and supply variability in a supply chain network--the bullwhip effect--and reduce adverse implications on their component supply chain networks. The purpose of this multiple case study was to explore the strategies supply chain leaders in the United States used to reduce the bullwhip effect. Bullwhip effect theory served as the conceptual framework. Participants in the study were 5 purposefully selected supply chain leaders in the state of Texas who successfully implemented strategies to reduce the bullwhip effect on their networks. Data were collected from semistructured interviews and analysis of documents from the participants' websites. The data were analyzed using the 5 data analysis steps consistent with Yin's approach: collection, stratification, reassembly, interpretation, and conclusion. Four themes emerged from data analysis: (a) collaboration strategy, (b) communication strategy, (c) component shortage reduction strategy, and (d) resource management strategy. Supply chain leaders might use the findings of this study to reduce the bullwhip effect within their networks and improve their profitability. The implications for positive social change include the potential for leaders to improve environmental sustainability by using effective supply chain strategies to reduce the accumulation of excess inventories, reduce transportation fuel usage, and lessen the consumption of natural resources.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Bullwhip Effect"

1

Disney, Stephen M. On replenishment rules, forecasting, and the Bullwhip effect in supply chains. Boston: Now Publishers, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Beer, Albert. Der Bullwhip-Effekt in einem komplexen Produktionsnetzwerk. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-06118-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Octavio A. Carranza Torres (Editor) and Felipe Villegas Moran (Editor), eds. The Bullwhip Effect in Supply Chains: A Review of Methods, Components and Cases. Palgrave Macmillan, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Bullwhip Effect"

1

Campuzano, Francisco, and Josefa Mula. "Bullwhip Effect in Supply Chains." In Supply Chain Simulation, 23–35. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-719-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Li, and Hau L. Lee. "Modeling and Measuring the Bullwhip Effect." In Springer Series in Supply Chain Management, 3–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32441-8_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Svensson, Göran. "The Bullwhip Effect: Refined and Redefined." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 240. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11845-1_84.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ivanov, Dmitry. "Supply Chain Risk Management: Bullwhip Effect and Ripple Effect." In Structural Dynamics and Resilience in Supply Chain Risk Management, 19–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69305-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Svensson, Göran. "The Bullwhip Effect: An Intra-Organisational Approach." In Creating and Delivering Value in Marketing, 93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11848-2_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tesfay, Yohannes Yebabe. "Analyzing the Impact of the Bullwhip Effect." In Developing Structured Procedural and Methodological Engineering Designs, 293–322. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68402-0_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ignaciuk, Przemysław, and Adam Dziomdziora. "Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation." In Computational Science – ICCS 2021, 351–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77970-2_27.

Full text
Abstract:
AbstractA major obstacle to stable and cost-efficient management of goods distribution systems is the bullwhip effect – reinforced demand uncertainty propagating among system nodes. In this work, by solving a formally established optimization problem, it is shown how one can mitigate the bullwhip effect, at the same minimizing transportation costs, in modern logistic networks with complex topologies. The flow of resources in the analyzed network is governed by the popular order-up-to inventory policy, which thrives to maintain sufficient stock at the nodes to answer a priori unknown, uncertain demand. The optimization objective is to decide how intensive a given transport channel should be used so that unnecessary goods relocation and the bullwhip effect are avoided while being able to fulfill demand requests. The computationally challenging optimization task is solved using a population-based evolutionary technique – Biogeography-Based Optimization. The results are verified in extensive simulations of a real-world transportation network.
APA, Harvard, Vancouver, ISO, and other styles
8

Carlsson, Christer, and Robert Fullér. "A Fuzzy Approach to Taming the Bullwhip Effect." In International Series in Intelligent Technologies, 247–62. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0324-7_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

van Engelenburg, Sélinde, Marijn Janssen, and Bram Klievink. "A Blockchain Architecture for Reducing the Bullwhip Effect." In Lecture Notes in Business Information Processing, 69–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94214-8_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Svensson, Göran. "Broadening the Horizons of Bullwhip Effect: A Proposal." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 151. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11806-2_70.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Bullwhip Effect"

1

Hien Duc, Truong Ton, Huynh Trung Luong, and Yeong-Dae Kim. "Minimizing bullwhip effect in supply chains." In EM). IEEE, 2010. http://dx.doi.org/10.1109/ieem.2010.5674458.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Barbey, Hans-Peter. "A New Approach For The Bullwhip Effect." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0407.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ghane, Mahdi, Mohammad Zarvandi, and Mohammad Reza Yousefi. "Attenuating bullwhip effect using robust-intelligent controller." In 2010 5th IEEE International Conference Intelligent Systems (IS). IEEE, 2010. http://dx.doi.org/10.1109/is.2010.5548389.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Qianyi, and Yuanyang Gao. "Service Supply Chain and Its "Bullwhip Effect"." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5576909.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Alony, Irit, and Albert Munoz. "The bullwhip effect in complex supply chains." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392227.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Wu, Sunong. "Analysis of Bullwhip Effect Based on Swarm." In 2009 WRI World Congress on Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.226.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

"Multiagent Model to Reduce the Bullwhip Effect." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004245600670076.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Barbey, Hans-Peter. "Influence Of Random Orders On The Bullwhip Effect." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0482.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Shizheng, Guo, Lu Zhen, and Huang Xiaoyuan. "Stochastic Control of Bullwhip Effect in Supply Chain." In 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320722.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wendan Zhao and Dingwei Wang. "Application of information sharing to bullwhip effect restraining." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597493.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Bullwhip Effect' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography