An Advanced System for Supporting the Decision Process within Large-scale Retail Stores

This paper proposes an advanced decision system, called Virtual Dynamic Store (VDS), for supporting retail store management. The VDS architecture supports the decision processes within retail stores by providing users with three main functionalities: store layout analysis, item and shelf management, and store monitoring and control by real-time simulation (or remote control by on-line simulation). As additional functionality, not related to the decision process within a retail store, the VDS architecture could also be used as a virtual web shop for e-commerce. To provide evidence on the relevance of the VDS, the architecture is tested within a real store by proposing four different application examples that show the potential of the VDS as an advanced decision support system.

[1]  Francesco Longo,et al.  An advanced supply chain management tool based on modeling and simulation , 2008, Comput. Ind. Eng..

[2]  Galina Merkuryeva,et al.  Simulation-Based Case Studies in Logistics: Education and Applied Research , 2009 .

[3]  Roy Thurik,et al.  Consumer response to the preferred brand out‐of‐stock situation , 1998 .

[4]  G. Fitzsimons.  Consumer Response to Stockouts , 2000 .

[5]  Ting-Peng Liang,et al.  Effect of store design on consumer purchases: an empirical study of on-line bookstores , 2002, Inf. Manag..

[6]  Els Gijsbrechts,et al.  Dynamics in consumer response to product unavailability: do stock-out reactions signal response to permanent assortment reductions? , 2004 .

[7]  Raymond R. Burke.  Technology and the customer interface: What consumers want in the physical and virtual store , 2002 .

[8]  Agostino G. Bruzzone,et al.  GENETIC ALGORITHMS AND SIMULATION FOR SUPPORTING LAYOUT RE-ENGINEERING OF AUTOMOTIVE COMPONENT PRODUCTION FACILITIES , 2000 .

[9]  Robert Signorile.  Simulation of a Multiagent System for Retail Inventory Control: A Case Study , 2002, Simul..

[10]  Galina Merkuryeva,et al.  Simulation-Based Case Studies in Logistics , 2009 .

[11]  F. Hesse,et al.  Store atmosphere, mood and purchasing behavior , 1997 .

[12]  Michael Tow Cheung,et al.  Internet-based e-banking and consumer attitudes: an empirical study , 2002, Inf. Manag..

[13]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[14]  W. Zinn,et al.  CONSUMER RESPONSE TO RETAIL STOCKOUTS , 2001 .

[15]  Glenn B. Voss,et al.  The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions , 2002 .

[16]  P. Franses,et al.  The impact of brand equity and the hedonic level of products on consumer stock-out reactions , 2005 .

[17]  John R. Grabner,et al.  Stockout Cost Models: Empirical Tests in a Retail Situation , 1975 .

[18]  Katia Campo,et al.  Towards understanding consumer response to stock-outs , 2000 .

[19]  James O. Peckham.  The Consumer Speaks , 1963 .

[20]  Hairong Li,et al.  Characteristics of virtual experience in electronic commerce: A protocol analysis , 2001 .

[21]  J. Banks,et al.  Handbook of Simulation , 1998 .

[22]  Lorenzo Tiacci,et al.  An approach to evaluate the impact of interaction between demand forecasting method and stock control policy on the inventory system performances , 2009 .

[23]  Wayne D. Hoyer,et al.  Why Switch? Product Category–Level Explanations for True Variety-Seeking Behavior , 1996 .

[24]  Israel Spiegler,et al.  Forecasting Retail Sales and Dealer Inventories: A Simulation and Decision Support System , 1993, Simul..

[25]  Michael Tow Cheung,et al.  Internet-based e-shopping and consumer attitudes: an empirical study , 2001, Inf. Manag..

[26]  J. Weltevreden.  Substitution or complementarity? How the Internet changes city centre shopping , 2007 .

[27]  John R. Grabner,et al.  Marketing Notes and Communications: Stockout Cost Models: Empirical Tests in a Retail Situation , 1975 .

[28]  B. Lee,et al.  Consumer attitude toward virtual stores and its correlates , 2007 .

[29]  A. Fiore,et al.  Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer☆ , 2007 .