BEM Bordeaux Management School

Talence, France

BEM Bordeaux Management School

Talence, France
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Teunter R.H.,University of Groningen | Babai M.Z.,BEM Bordeaux Management School | Syntetos A.A.,University of Salford
Production and Operations Management | Year: 2010

ABC inventory classifications are widely used in practice, with demand value and demand volume as the most common ranking criteria. The standard approach in ABC applications is to set the same service level for all stock keeping units (SKUs) in a class. In this paper, we show (for three large real life datasets) that the application of both demand value and demand volume as ABC ranking criteria, with fixed service levels per class, leads to solutions that are far from cost optimal. An alternative criterion proposed by Zhang et al. performs much better, but is still considerably outperformed by a new criterion proposed in this paper. The new criterion is also more general in that it can take criticality of SKUs into account. Managerial insights are obtained into what class should have the highest/lowest service level, a topic that has been disputed in the literature. © 2009 Production and Operations Management Society.


Podinovski V.V.,University of Warwick | Bouzdine-Chameeva T.,BEM Bordeaux Management School
Operations Research | Year: 2013

It is known that the incorporation of weight restrictions in models of data envelopment analysis may result in their infeasibility. In our paper we investigate this effect in detail. We show that the infeasibility is only one of several possible outcomes that point to a particular problem with weight restrictions. For example, the use of weight restrictions may also lead to zero or negative efficiency scores of some units. Removing problematic units from the data set does not necessarily remove the underlying problem caused by the weight restrictions and only makes it undetected. We prove that all such problems arise when weight restrictions induce free or unlimited production of outputs in the underlying technology. This is unacceptable from the production theory point of view and indicates that the weight restrictions need reassessing. We develop analytical criteria and computational methods that allow us to identify the above problematic situations. © 2013 INFORMS.


Estampe D.,BEM Bordeaux Management School | Lamouri S.,LISMMA | Paris J.-L.,French National Center for Scientific Research | Brahim-Djelloul S.,Institute National Of Commerce
International Journal of Production Economics | Year: 2013

Supply chain management creates value for companies, customers and stakeholders interacting throughout a supply chain. The strategic dimension of supply chains makes it paramount that their performances are measured. In today's performance evaluation processes, companies tend to refer to several models that will differ in terms of corporate organisation, the distribution of responsibilities and supply chain maturity. The present article analyzes various models used to assess supply chains by highlighting their specific characteristics and applicability in different contexts. It also offers an analytical grid breaking these models down into seven layers. This grid will help managers evolve towards a model that is more suitable for their needs. © 2010 Elsevier B.V.


Bouzdine-Chameeva T.,BEM Bordeaux Management School | Galam S.,French National Center for Scientific Research
Advances in Complex Systems | Year: 2011

The dynamics of wine purchasing behavior is studied focusing on the respective impacts of the word-to-mouth versus wine expert judgements and reputations. To investigate the problem we apply the Galam model of opinion dynamics to agents who have to select a preference about which type of wine to buy given expert judgements, individual preferences and wine reputations. It could be, for instance, a preference between Bordeaux and Burgundy. The main novelty of the work is not about the building of a new model but indeed the construction of a scheme to confront the Galam model to a specific problem of the real world. Accordingly we design a commercial strategy to hold on to a share of the wine market. It provides a novel understanding on how, given some established reputation, the competitive interplay between social interactions and expert judgments affects the market shares distribution. The financial implications of the practical implementation of these results are discussed. In particular it is found that sample distribution of bottles could be drastically reduced from the usual levels practiced by producers. We hope our results will convince some wine producers to test our predictions. © 2011 World Scientific Publishing Company.


Goldstein A.,Oecd Nuclear Energy Agency | Baena C.,BEM Bordeaux Management School
International Journal of Technological Learning, Innovation and Development | Year: 2010

The history of the global oil industry is essential to understand the rise of multinational enterprises. Petrobras, in particular, has started to exploit in international markets the world-class technology it developed to exploit deepwater oil fields. PDVSA, on the other hand, has focused its international expansion strategy in building a network of refineries in key consuming markets. This paper examines the cases of Petrobras and PDVSA. The Petrobras experience confirms that the rise of emerging economies is leading to a transformation in global business in which foreign direct investment is driven not only by the exploitation of traditional firm-specific competencies, but also by the exploration of new patterns of organisational innovation. PDVSA’s case illustrates that for a developing country multinational, the path towards decision-making autonomy from government is mired with many obstacles; key commercial strategies can be challenged by a government seeking to impose its agenda on the company. © 2010 Inderscience Enterprises Ltd.


Rostami-Tabar B.,BEM Bordeaux Management School | Rostami-Tabar B.,University of Bordeaux 1 | Babai M.Z.,BEM Bordeaux Management School | Syntetos A.,University of Cardiff | Ducq Y.,University of Bordeaux 1
Naval Research Logistics | Year: 2013

Demand forecasting performance is subject to the uncertainty underlying the time series an organization is dealing with. There are many approaches that may be used to reduce uncertainty and thus to improve forecasting performance. One intuitively appealing such approach is to aggregate demand in lower-frequency "time buckets." The approach under concern is termed to as temporal aggregation, and in this article, we investigate its impact on forecasting performance. We assume that the nonaggregated demand follows either a moving average process of order one or a first-order autoregressive process and a single exponential smoothing (SES) procedure is used to forecast demand. These demand processes are often encountered in practice and SES is one of the standard estimators used in industry. Theoretical mean-squared error expressions are derived for the aggregated and nonaggregated demand to contrast the relevant forecasting performances. The theoretical analysis is supported by an extensive numerical investigation and experimentation with an empirical dataset. The results indicate that performance improvements achieved through the aggregation approach are a function of the aggregation level, the smoothing constant, and the process parameters. Valuable insights are offered to practitioners and the article closes with an agenda for further research in this area. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 479-498, 2013 Copyright © 2013 Wiley Periodicals, Inc.


Babai M.Z.,BEM Bordeaux Management School | Babai M.Z.,King Saud University | Ali M.M.,Bucks New University | Boylan J.E.,Bucks New University | Syntetos A.A.,University of Salford
International Journal of Production Economics | Year: 2013

The ARIMA(0,1,1) demand model has been analysed extensively by researchers and used widely by forecasting practitioners due to its attractive theoretical properties and empirical evidence in its support. However, no empirical investigations have been conducted in the academic literature to analyse demand forecasting and inventory performance under such a demand model. In this paper, we consider a supply chain formed by a manufacturer and a retailer facing an ARIMA(0,1,1) demand process. The relationship between the forecasting accuracy and inventory performance is analysed along with an investigation on the potential benefits of forecast information sharing between the retailer and the manufacturer. Results are obtained analytically but also empirically by means of experimentation with the sales data related to 329 Stock Keeping Units (SKUs) from a major European superstore. Our analysis contributes towards the development of the current state of knowledge in the areas of inventory forecasting and forecast information sharing and offers insights that should be valuable from the practitioner perspective. © 2012 Elsevier B.V. All rights reserved.


Syntetos A.A.,University of Salford | Babai M.Z.,BEM Bordeaux Management School | Babai M.Z.,King Saud University | Davies J.,University of Salford | Stephenson D.,University of Salford
International Journal of Production Economics | Year: 2010

Wholesalers add value to the products they deal with by essentially bringing them closer to the end consumers. In that respect, the effective control of stock levels becomes an important measure of operational performance especially in the context of achieving high customer service levels. In this paper, we address issues pertinent to forecasting and inventory management in a wholesaling environment and discuss the recommendations proposed in such a context in a case study organization. Our findings demonstrate the considerable scope that exists for improving current practices and offers insights into possible managerial issues. © 2010 Elsevier B.V. All rights reserved.


Syntetos A.A.,University of Salford | Babai M.Z.,BEM Bordeaux Management School | Babai M.Z.,King Saud University | Altay N.,DePaul University
International Journal of Production Research | Year: 2012

Spare parts have become ubiquitous in modern societies, and managing their requirements is an important and challenging task with tremendous cost implications for the organisations that are holding relevant inventories. Demand for spare parts arises whenever a component fails or requires replacement, and as such the relevant patterns are different from those associated with 'typical' stock keeping units. Such demand patterns are most often intermittent in nature, meaning that demand arrives infrequently and is interspersed by time periods with no demand at all. A number of distributions have been discussed in the literature for representing these patterns, but empirical evidence is lacking. In this paper, we address the issue of demand distributional assumptions for spare-parts management, conducting a detailed empirical investigation on the goodness-of-fit of various distributions and their stock-control implications in terms of inventories held and service levels achieved. This is an important contribution from a methodological perspective, since the validity of demand distributional assumptions (i.e. their goodness-of-fit) is distinguished from their utility (i.e. their real-world implications). Three empirical datasets are used for the purposes of our research that collectively consist of the individual demand histories of approximately 13,000 SKUs from the military sector (UK and USA) and the Electronics Industry (Europe). Our investigation provides evidence in support of certain demand distributions in a real-world context. The natural next steps of research are also discussed, and these should facilitate further developments in this area from an academic perspective. © 2012 Copyright Taylor and Francis Group, LLC.


Holmqvist J.,BEM Bordeaux Management School | Holmqvist J.,Hanken School of Economics | Gronroos C.,Hanken School of Economics
Journal of Service Research | Year: 2012

The service encounter depends on the interaction between consumer and company, with an active role for the consumer as a participant. Building on existing literature, this article argues that language influences how consumers perceive the service encounter in several important ways. In turn, service providers and service researchers must understand the impact of the language used before, during, and after the service encounter. Across these three phases, 11 propositions pertaining to language use help clarify the service encounter, the role of the consumer in services, and how consumers are influenced by language. These propositions also offer ways forward for service research to study the influence of language use on the service encounter. From a managerial perspective, this article highlights language as an increasingly important challenge and suggests ways for companies to meet this challenge. © The Author(s) 2012.

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