Effekter av automatiserade beställningssystem i dagligvaruhandeln
01 Jan 2013-
TL;DR: Forbattringar bor dock ske i framtiden da bestallningsstrategin tidigare inte alltid stamde overrens med organisationens mal as mentioned in this paper.
Abstract: Syftet med denna uppsats ar att undersoka hur implementeringen av ett automatiserat bestallningssystem paverkar, dels den fysiska forstorelsen och dels arbetssattet i butikerna. Vi amnar samtidigt inspirera till vidare forskning inom omradet i allmanhet och pa butiksniva i synnerhet.
Den valda metoden ar en fallstudien utifran en induktiv ansats. Fallstudien har enfallsdesign med flera analysenheter. Studien har baserats pa intervjuer, internt material och observationer.
Teorierna i studien grundar sig i ERP-system, lagerhantering, automatiserade bestallningssystem, organisationsforandringar, implementering och incitament.
Empirin har sin utgangspunkt i internt material samt intervjuer med nyckelpersoner inom Kristianstad-Blekinge Konsumentforening och Coop, pa central- och butiksniva.
Slutsatserna ar att det ar svart att pavisa tydliga effekter pa fysisk forstorelse da fallforetaget fortfarande ar i implementeringsfasen. Forbattringar bor dock ske i framtiden da bestallningsstrategin tidigare inte alltid stamde overrens med organisationens mal. Implementeringen har medfort ett andrat arbetssatt i butik. Personalens ansvar har dock inte minskat. Inforandet av det automatiserade bestallningssystemet har resulterat i okat samarbete och storre flexibilitet vad galler bemanning.
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TL;DR: In this paper, the authors focus on the behavior of a store inventory exposed to inventory record inaccuracy and analyze two situations that permit management of the joint ordering and inspection policy based on the information the inventory manager has on shrinkage errors.
Abstract: Motivated by empirical evidence, this article focuses on the behaviour of a store inventory exposed to inventory record inaccuracy. The inventory, controlled by an infinite horizon, single-stage, single-product periodic-review policy, is subject to shrinkage errors that cause a difference between the physical and information system inventory levels. We model a set of scenarios depending on the technology available to track shrinkage in the store. In scenarios where a technology such as Radio Frequency IDentification (RFID) is not used, inventory is controlled by estimating the expected shrinkage rate. We assume that an inspection process is performed at a regular frequency of N selling periods. We analyse two situations that permit management of the joint ordering and inspection policy based on the information the inventory manager has on shrinkage errors. A comparison between these two situations permits us to analyse the impact of shrinkage errors and the value of taking into account the inventory inacc...
31 citations
TL;DR: In this paper, the relationship between marketing variables (price, display, advertising, coupons, and other promotions) and customer purchasing behavior has been examined using point-of-sale data.
Abstract: Data capture at point of sale, using laser scanning technology, is now commonplace in retail outlets in developed economies The volume of data collected is enormous (a single UK grocery superstore carries over 15 000 different lines, each with a unique 13 digit barcode and will sell 600 000 items per week) It has been recognized that, where point of sale data can be translated into meaningful information, there is scope for efficiency savings and exploitable competitive advantage In UK grocery retailing the uses of scanner data have concentrated on operational aspects such as improved ordering systems and staff scheduling There have, however, been many recent studies, predominantly in the USA, which have examined, using scanner data, the relationship between marketing variables (price, display, advertising, coupons, and other promotions) and customer purchasing behaviour This paper presents an overview of these studies and identifies the opportunities for operational researchers to further the understanding of such relationships through modelling and data handling
27 citations
01 Jan 2004
TL;DR: In this article, the authors compare the results of the space allocation decisions of the marketers with a basic analytic model that incorporates aspects of marketing and operations, and argue that significant amounts of excess shelf space exist for a large part of the assortment of a retailer.
Abstract: Marketing and operations responsibilities meet in retail stores on the shelves. The shelf is the location where any product meets the consumer, whereas the shelf is also the final inventory location in the retail supply chain. Marketing assumes that the presence of inventory drives demand and therefore requires excellent operations. In operations, the main concern is with the trade-off between inventory holding cost on the shelf and the cost of replenishment. We gathered empirical data at a grocery retail chain and were able to combine marketing and operations data into a single database. This provided us the opportunity to conduct a unique analysis. We could compare the results of the space allocation decisions of the marketers with a basic analytic model that incorporates aspects of marketing and operations. Based on this comparison, we argue that significant amounts of excess shelf space exist for a large part of the assortment of a retailer. Excess shelf space is retail space that is not required to carry out the current operations with respect to customer service and costs. We also observed that the cost of replenishment is non-linear and dominates the inventory holding cost. Therefore, excess shelf space cannot easily be eliminated. Instead, excess shelf space in the presence of a non-linear cost of replenishment offers enormous opportunities for the development of new supply chain coordination mechanisms.
27 citations
TL;DR: In this article, the authors describe the determinants of profitability in terms of the strategic profitability model (the Du Pont model), depicting the "route" to high profit for a company.
Abstract: :Purpose – The purpose of this study is to describe the determinants of profitability in terms of the strategic profitability model (the Du Pont model), depicting the “route” to high profit ...
23 citations
TL;DR: In this article, the authors used statistical regression to relate shrinkage to explanatory variables such as staffing, security, store layout and catchment area demographics, and found that crowding among staff and customers may be a more effective inhibitor of shrinkage than many traditional formal security precautions.
Abstract: In a large retail chain, we used statistical regression to relate shrinkage to explanatory variables such as staffing, security, store layout and catchment-area demographics. There were large measurement errors in the retailer's estimates of shrinkage, together with high correlations among the potential causal variables. These effects caused our models to give poor predictions of shrinkage for individual stores, but the models were highly statistically significant, which means that they can accurately forecast the average (and hence the aggregate) effects of policy changes affecting hundreds of stores. Factors associated with lower shrinkage included high turnover of stock, and high densities on the sales floor of staff, pay-points and customers. Our results suggest that crowding among staff and customers may be a more effective inhibitor of shrinkage than many traditional formal security precautions, such as CCTV and store detectives.
21 citations