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Effekter av automatiserade beställningssystem i dagligvaruhandeln

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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References
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Journal ArticleDOI
TL;DR: This paper considers an intelligent inventory management tool that accounts for record inaccuracy using a Bayesian belief of the physical inventory level, and shows that a probability distribution on physical inventory levels is a sufficient summary of past sales and replenishment observations and that this probability distribution can be efficiently updated as observations are accumulated.
Abstract: Inventory record inaccuracy is a significant problem for retailers using automated inventory management systems. In this paper, we consider an intelligent inventory management tool that accounts for record inaccuracy using a Bayesian belief of the physical inventory level. We assume that excess demands are lost and unobserved, in which case sales data reveal information about physical inventory levels. We show that a probability distribution on physical inventory levels is a sufficient summary of past sales and replenishment observations, and that this probability distribution can be efficiently updated in a Bayesian fashion as observations are accumulated. We also demonstrate the use of this distribution as the basis for practical replenishment and inventory audit policies and illustrate how the needed parameters can be estimated using data from a large national retailer. Our replenishment policies avoid the problem of “freezing,” in which a physical inventory position persists at zero while the corresponding record is positive. In addition, simulation studies show that our replenishment policies recoup much of the cost of inventory record inaccuracy, and that our audit policy significantly outperforms the popular “zero balance walk” audit policy.

185 citations

Journal ArticleDOI
TL;DR: In this article, the results of a survey assessing current levels of involvement in crossorganizational collaboration among firms utilizing automatic inventory replenishment are presented, and the results provide strong support for positive associations between high levels of CPFR and implementation of operating process change and information system capabilities.
Abstract: Automatic replenishment systems that restock inventory based on actual demand triggers rather than relying on long‐range forecasts and layers of safety stock have been implemented in a great number of firms in recent years. Now these same firms are taking supply chain cooperation to another level through involvement in collaborative planning/forecasting/replenishment (CPFR). The results of a recent survey assessing current levels of involvement in cross‐organizational collaboration among firms utilizing automatic inventory replenishment are presented. The results provide strong support for positive associations between high levels of CPFR and implementation of operating process change and information system capabilities. Results supported only a very weak association between CPFR and effectiveness in achieving operational performance goals.

169 citations

Journal ArticleDOI
TL;DR: It will be shown that in an environment, which contains important features of the real-life retail environment, this new policy leads to substantial cost reductions compared with a base policy that does not take into account the age of inventories.

164 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the value of information (VOI) in the context of a retailer that provides a perishable product to consumers and receives replenishment from a single supplier.
Abstract: We explore the value of information (VOI) in the context of a retailer that provides a perishable product to consumers and receives replenishment from a single supplier. We assume a periodic review model with stochastic demand, lost sales, and order quantity restrictions. The product lifetime is fixed and deterministic once received by the retailer, although the age of replenished items provided by the supplier varies stochastically over time. Since the product is perishable, any unsold inventory remaining after the lifetime elapses must be discarded (outdated). Without the supplier explicitly informing the retailer of the product age, the age remains unknown until receipt. With information sharing, the retailer is informed of the product age prior to placing an order and hence can utilize this information in its decision–making. We formulate the retailer’s replenishment policies, with and without knowing the age of the product upon receipt, and measure the VOI as the marginal improvement in profit that the retailer achieves with information sharing, relative to the case when no information is shared. We establish the importance of information sharing and identify the conditions under which substantial benefits can be realized.

162 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the waste flow of fruit and vegetables at six Swedish retail stores, both by analysing recorded data and by performing physical measurements, and found that the largest category was pre-store waste (goods rejected at delivery; 3.01%), followed by recorded in-Store waste (0.99%), and unrecorded in-store wastage ( 0.3%).
Abstract: To prevent retail food wastage, better understanding of waste patterns is necessary. Flows of fruit and vegetables at six Swedish retail stores were analysed in this study, both by analysing recorded data and by performing physical measurements. Total wasted fresh fruits and vegetables were 4.3% of delivered quantity. The largest category was pre-store waste (goods rejected at delivery; 3.01%), followed by recorded in-store waste (0.99%) and unrecorded in-store waste (0.3%). A positive correlation between unrecorded in-store waste and total waste was found, indicating that a thorough recording of waste could be an effective way to reduce retail waste of fresh fruits and vegetables. The praxis allowing large amounts of reclamations of delivered goods was recognised as the main reason for waste, since pre-store waste contributed with the majority of the waste flow. Initiatives to reduce fresh fruit and vegetable waste in the studied retail chain thus need to focus on the pre-store waste to be efficient.

147 citations