Academic literature on the topic 'Assortment'
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Journal articles on the topic "Assortment"
Piris, Yolande, and Nathalie Guibert. "Variety perception and attitude toward digital assortments." International Journal of Retail & Distribution Management 47, no. 12 (December 9, 2019): 1353–63. http://dx.doi.org/10.1108/ijrdm-09-2018-0200.
Full textLojo, Ahmet, Jusuf Musić, Besim Balić, and Admir Avdagić. "Wood assortment tables of Norway spruce (Picea abies Karst.) for Canton 10 of Federation B&H." Radovi Šumarskog fakulteta Univerziteta u Sarajevu 50, no. 2 (December 1, 2020): 3–19. http://dx.doi.org/10.54652/rsf.2020.v50.i2.344.
Full textRuiz-Real, José Luis, Juan Carlos Gázquez-Abad, Irene Esteban-Millat, and Francisco J. Martínez-López. "The role of consumers’ attitudes in estimating consumer response to assortment composition." International Journal of Retail & Distribution Management 45, no. 7/8 (July 10, 2017): 782–807. http://dx.doi.org/10.1108/ijrdm-09-2016-0163.
Full textDanilovic, Milorad, Milun Krstic, Damjan Pantic, and Bratislav Matovic. "Assortment structure in beech coppice stands in the Crni vrh region." Bulletin of the Faculty of Forestry, no. 87 (2003): 103–11. http://dx.doi.org/10.2298/gsf0387103d.
Full textBradlow, Eric T., and Vithala R. Rao. "A Hierarchical Bayes Model for Assortment Choice." Journal of Marketing Research 37, no. 2 (May 2000): 259–68. http://dx.doi.org/10.1509/jmkr.37.2.259.18733.
Full textDanilovic, Milorad, and Damjan Pantic. "Assortment structure in beech coppice stands in Boljevac region." Bulletin of the Faculty of Forestry, no. 89 (2004): 91–102. http://dx.doi.org/10.2298/gsf0489091d.
Full textBriesch, Richard A., Pradeep K. Chintagunta, and Edward J. Fox. "How Does Assortment Affect Grocery Store Choice?" Journal of Marketing Research 46, no. 2 (April 2009): 176–89. http://dx.doi.org/10.1509/jmkr.46.2.176.
Full textLiu, Nan, Yuhang Ma, and Huseyin Topaloglu. "Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings." INFORMS Journal on Computing 32, no. 3 (July 2020): 835–53. http://dx.doi.org/10.1287/ijoc.2019.0910.
Full textPetráš, R., J. Mecko, and V. Nociar. "Models of assortment yield tables for poplar clones." Journal of Forest Science 54, No. 5 (May 22, 2008): 227–33. http://dx.doi.org/10.17221/3/2008-jfs.
Full textGál, J., and I. E. Bella. "Evaluation of stem taper functions for estimating log volume assortments." Forestry Chronicle 71, no. 6 (December 1, 1995): 743–46. http://dx.doi.org/10.5558/tfc71743-6.
Full textDissertations / Theses on the topic "Assortment"
Vries-van, Ketel Eline de. "How Assortment Variety Affects Assortment Attractiveness A Consumer Perspective /." [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Rotterdam : Erasmus University Rotterdam [Host], 2006. http://hdl.handle.net/1765/7193.
Full textArulselvan, Ashwin. "Complex network assortment and modeling." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0014925.
Full textSloot, Laurentius Martinus. "Understanding consumer reactions to assortment unavailability." [Rotterdam] : Rotterdam : Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Erasmus University Rotterdam [Host], 2006. http://hdl.handle.net/1765/7438.
Full textSchurr, Jochen. "On assortment optimization under active learning." Thesis, Lancaster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658059.
Full textLew, Marta. "Modeling supply chain benefits of efficient assortment." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61180.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 92-97).
The recent developments in retail industry created a challenging environment for companies in the sector and their trade partners. Retailers' focus on recovering their financial results through eliminating unproductive inventory and reducing unnecessary complexity has led to an increased pressure on their suppliers. In order to adapt to the new market settings, a major manufacturer of consumer goods wanted to be able to look at its product portfolio through the perspective of its direct clients. This capability was established in form of a decision model which utilizes Point of Sales, operational, and financial data of the company's downstream partners to recommend assortment changes at item, category and cross-category levels, as well as to project results of these changes. The tool uses the input data and information on product variety to assess risk of lost sales and to quantify possible improvements in product availability, retailers' logistics costs, efficiency of their operations, utilization of supply chain assets, and-perhaps most importantly-their revenues and profits. The new decision model reinforced the manufacturer's competence to support objectives of clients while continuing to pursue its own goal of offering end-customers products which they need, trust and value.
by Marta Lew.
M.Eng.in Logistics
Sögaard, Petra. "Optimizing Picadeli’s assortment according to climate and health research." Thesis, Linnéuniversitetet, Institutionen för kemi och biomedicin (KOB), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96758.
Full textScott, Victoria Lynn. "A Study of Assortment Planning Among Bridal Retail Buyers." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/42114.
Full textMaster of Science
Kang, Keang-Young. "Development of an Assortment Planning Model for Fashion Sensitive Products." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/26923.
Full textPh. D.
Caro, Felipe. "Dynamic retail assortment models with demand learning for seasonal consumer goods." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33415.
Full textIncludes bibliographical references (leaves [104]-108).
The main research question we explore in this dissertation is: How should a retailer modify its product assortment over time in order to maximize overall profits for a given selling season? Historically, long development, procurement, and production lead times have constrained fashion retailers to make supply and assortment decisions well in advance of the selling season, when only limited and uncertain demand information is available. As a result, many retailers are seemingly cursed with simultaneously missing sales for want of popular products, while having to use markdowns in order to sell the many unpopular products still accumulating in their stores. Recently however, a few innovative firms, such as Spain-based Zara, Mango and Japan-based World Co. (referred to as "Fast Fashion" retailers), have gone substantially further, implementing product development processes and supply chain architectures allowing them to make most product design and assortment decisions during the selling season. Remarkably, their higher flexibility and responsiveness is partly achieved through an increased reliance on more costly local production relative to the supply networks of more traditional retailers.
(cont.) At the operational level, leveraging the ability to introduce and test new products once the season has started motivates a new and important decision problem, which seems crucial to the success of these fast-fashion companies: given the constantly evolving demand information available, which products should be included in the assortment at each point in time? The problem just described seems challenging, in part because it relates to the classical trade-off known as exploration versus exploitation, usually represented via the multiarmed bandit problem. In this thesis we analyze the dynamic assortment problem under different sets of assumptions, including: (i) without lost sales; (ii) with lost sales but observable demand; (iii) with lost sales and censored information; and (iv) with time varying demand rates. In each case we formulate an appropriate model and suggest a (near-optimal) policy that can be implemented in practice, together with associated suboptimality bounds. We also study the incorporation of substitution effects and the extension of the models to a generic family of demand distributions. The common solution approach involves the Lagrangian relaxation and the decomposition of weakly coupled dynamic programs.
(cont.) The dissertation makes three contributions: (1) it is the first attempt in providing mathematical optimization models with near-optimal solutions for the dynamic assortment problem faced by a fast-fashion retailer; (2) our analysis contributes to the literature on the multiarmed bandit problem, in particular for its finite-horizon version, we derive a general closed-form dynamic index policy that performs remarkably well; and (3) the solution approach contributes to the emerging literature on duality in dynamic programming.
by Felipe Caro.
Ph.D.
Donoso, Solís Francisco José. "Optimización del assortment de productos conformados por equipos móviles y planes." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/137869.
Full textIngeniero Civil Industrial
La industria de las telecomunicaciones está frecuentemente enfrentada a las decisiones de surtido: determinar qué productos ofrecer y en qué momento. La importancia de tales decisiones se observa particularmente al promocionar, de manera online, productos conformados por un plan y un equipo móvil. Actualmente el surtido se mantiene estático a lo largo de cada mes, independientemente de los cambios en las existencias, lo que aumenta la probabilidad de tener un quiebre de stock. Por otro lado, los productos se determinan en base a una cantidad limitada de combinaciones, denominada universo, ambos, productos promocionados y universo, son seleccionados haciendo uso del juicio de expertos. El objetivo del trabajo es determinar una estrategia de surtido óptima para las promociones de dichas combinaciones por medio de la maximización del ingreso, para la cual se adapta un modelo que calcula en base a una función de demanda y el stock disponible, qué productos ofrecer y en qué momento. Debido a la cantidad de combinaciones es necesario utilizar generación de columnas, logrando así, su factibilidad computacional. El modelo base solo se ejecuta al principio de la planificación, lo cual lo hace inflexible. Para incorporar adaptabilidad se utiliza un horizonte rodante y se penalizan los productos que tienen un menor stock remanente, haciendo posible agregar información reciente de las ventas al recalcular el modelo cada un cierto periodo de tiempo y mejorar la calidad del surtido a lo largo de la planificación. Para evaluar la metodología se crean tres estrategias: (Caso Base) representación de la forma actual de resolver el problema; (A) una estrategia que determina el surtido utilizando la metodología creada, pero considerando el universo definido por la empresa y (B) una estrategia que además de considerar la metodología propuesta, utiliza un universo conformado por todas las combinaciones posibles. Se destaca que la cantidad de ejecuciones también fue sujeta a evaluación, considerando el cambio en el ingreso y aumento en los tiempos de ejecución. La metodología se evaluó usando datos de una importante empresa de telecomunicaciones, en la cual existen dos tipos de productos: Portabilidad -productos de gama alta que son ofrecidos a clientes de la competencia y cumplen requisitos específicos- y Multimedia - productos ofrecidos a clientes que ya forman parte de la compañía o a aquellos clientes externos que no cumplen los requisitos de portabilidad-. Debido a los resultados prometedores de las 2 estrategias propuestas, se considera incluir una estrategia extra denominada Lista Ordenada, con el objetivo de comparar las propuestas que optimizan con una opción de implementación sencilla. Tal estrategia consiste en ofrecer los productos que tengan una mejor combinación de atractivo y rentabilidad. Los resultados reflejan que la mejor estrategia depende del nivel de stock, con respecto a Multimedia, se tiene más del nivel necesario y por ello se sugiere utilizar la Lista que aumenta el ingreso en un 46 %. Por su parte, Portabilidad no tiene el suficiente nivel de stock y por ello la mejor opción es la estrategia B, que mejora el ingreso en un 21 %.
Books on the topic "Assortment"
More sourcesBook chapters on the topic "Assortment"
Sharma, Anu. "Assortment." In Encyclopedia of Animal Cognition and Behavior, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_54-1.
Full textSharma, Anu. "Assortment." In Encyclopedia of Animal Cognition and Behavior, 527–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_54.
Full textGallego, Guillermo, and Huseyin Topaloglu. "Assortment Optimization." In International Series in Operations Research & Management Science, 129–60. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9606-3_5.
Full textRooderkerk, Robert P., and A. Gürhan Kök. "Omnichannel Assortment Planning." In Springer Series in Supply Chain Management, 51–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20119-7_4.
Full textImmorlica, Nicole, Brendan Lucier, Jieming Mao, Vasilis Syrgkanis, and Christos Tzamos. "Combinatorial Assortment Optimization." In Web and Internet Economics, 218–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04612-5_15.
Full textKier, Ruben. "September: Autumn Assortment." In The 100 Best Targets for Astrophotography, 197–231. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0603-8_9.
Full textBerkhout, Constant. "Composition of Assortment." In Assortment and Merchandising Strategy, 39–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11163-2_3.
Full textBerkhout, Constant. "Assortment Size and Space." In Assortment and Merchandising Strategy, 13–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11163-2_2.
Full textBerkhout, Constant. "Ways of Organising Assortment." In Assortment and Merchandising Strategy, 55–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11163-2_4.
Full textBroniarczyk, Susan M., and Wayne D. Hoyer. "Retail Assortment: More ≠ Better." In Retailing in the 21st Century, 271–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-72003-4_17.
Full textConference papers on the topic "Assortment"
Bessarabova, N. I., and A. V. Vasilyeva. "ASSORTMENT ANALYSIS «SPORTLIFESTYLE» LLC." In CONTEMPORARY ECONOMIC PROBLEMS OF RUSSIA AND CHINA. Amur State University, 2021. http://dx.doi.org/10.22250/medprh.2.25.
Full textMa, Will. "When is Assortment Optimization Optimal?" In EC '22: The 23rd ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3490486.3538380.
Full textJain, Swati, and Swapna Rose Wilson. "Automated bug assortment system in datasets." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7824835.
Full textMoniza, P., and P. Asha. "An assortment of spam detection system." In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET). IEEE, 2012. http://dx.doi.org/10.1109/icceet.2012.6203823.
Full textGun, Ajlan Nihat, and Bertan Badur. "Assortment planning using data mining algorithms." In Technology. IEEE, 2008. http://dx.doi.org/10.1109/picmet.2008.4599855.
Full textHonchar, Lyudmyla. "Simulation model of optimal products assortment issue." In 2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2009. http://dx.doi.org/10.1109/idaacs.2009.5342907.
Full textTrincavelli, Marco, Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, and Davide Bacciu. "Inductive learning for product assortment graph completion." In ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, 2021. http://dx.doi.org/10.14428/esann/2021.es2021-73.
Full textBrijs, Tom, Gilbert Swinnen, Koen Vanhoof, and Geert Wets. "Using association rules for product assortment decisions." In the fifth ACM SIGKDD international conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/312129.312241.
Full textSaridakis, Charalampos, Stelios Tsafarakis, and George Baltas. "INTRODUCING EVOLUTIONARY ANALYSIS TO RETAIL ASSORTMENT PLANNING." In Bridging Asia and the World: Globalization of Marketing & Management Theory and Practice. Global Alliance of Marketing & Management Associations, 2014. http://dx.doi.org/10.15444/gmc2014.10.02.03.
Full textM, Malaya Kumar Biswal, and Ramesh Naidu Annavarapu. "Mars Missions Failure Report Assortment: Review and Conspectus." In AIAA Propulsion and Energy 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-3541.
Full textReports on the topic "Assortment"
E.N., Vlasova, Ovchinnikova M.S., Kazimirskaya N.V., and Matrochina E.E. Program for assessing the rationality of the assortment. OFERNIO, January 2021. http://dx.doi.org/10.12731/ofernio.2021.24746.
Full textOvchinnikova, M. S., N. V. Kazimirskaya, D. YAzyikova, and E. N. Vlasova. Program for determining the indicators of the assortment. OFERNIO, January 2021. http://dx.doi.org/10.12731/ofernio.2021.24748.
Full textSorokopudov, V. N., N. I. Nazariuk, and N. S. Gabysheva. Improving the assortment of black currant in the Asian part of Russia. КГСХА, 2018. http://dx.doi.org/10.18411/177-78.2018-01.
Full textIllanes, Gastón, and Sarah Moshary. Market Structure and Product Assortment: Evidence from a Natural Experiment in Liquor Licensure. Cambridge, MA: National Bureau of Economic Research, April 2020. http://dx.doi.org/10.3386/w27016.
Full textGobble, Allison N., and V. Ann Paulins. Investigating the Way Store Environment and Merchandise Assortment Interface to Create Effective Shopping Experiences. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-649.
Full textBelcher, Scott, Terri Belcher, Kathryn Seckman, Brandon Thomas, and Homayun Yaqub. Aligning the Transit Industry and Their Vendors in the Face of Increasing Cyber Risk: Recommendations for Identifying and Addressing Cybersecurity Challenges. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2113.
Full textNELYUBINA, E., E. BOBKOVA, and I. GRIGORYANTS. STUDYING THE RANGE OF VEGETABLE OILS. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2070-7568-2022-11-2-4-7-14.
Full textRincón-Torres, Andrey Duván, Kimberly Rojas-Silva, and Juan Manuel Julio-Román. The Interdependence of FX and Treasury Bonds Markets: The Case of Colombia. Banco de la República, September 2021. http://dx.doi.org/10.32468/be.1171.
Full textBae, Su Yun, Sonia Hur, Pielah Kim, and Leslie Stoel. Merchandise Assortments of Online Fair Trade Retailers: Are They Balanced? Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-643.
Full textBezuidenhout, Lizet, Bertha Jacobs, and Nadine Sonnenberg. Female consumers' utilization of diagnostic cues to evaluate work wear assortments in major department stores. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-134.
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