Journal of the operational research society (JORS), Vol. 62 N° 3 Special issue. Journal of the operational research society (JORS) - Mars 2011
| Titre : | Journal of the operational research society (JORS), Vol. 62 N° 3 Special issue. Journal of the operational research society (JORS) - Mars 2011 |
| Type de document : | Bulletin |
| Paru le : | 07/06/2011 |
Dépouillements
Article : texte imprimé
Caniato, F., Auteur ;
Kalchschmidt, M., Auteur ;
Ronchi, S., Auteur
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This article examines the integration of quantitative and judgmental forecasting, focusing on the implementation process and its impacts on the organization. To this end, the study is based on an action research case study in the cement industry[...]
Article : texte imprimé
Article : texte imprimé
Johnston, F. R., Auteur ;
Shale, E. A., Auteur ;
Kapoor, S., Auteur
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This paper investigates inventory management issues in a distribution network. The study is motivated by examining the operation of a wholesaling car parts company. Customer service requirements are of paramount importance in this market sector.[...]
Article : texte imprimé
Jalil, M. N., Auteur ;
Zuidwijk, R. A., Auteur ;
Fleischmann, M., Auteur
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Many of the challenges in spare parts logistics emerge due to the combination of large service networks, and sporadic/slow-moving demand. Customer heterogeneity and stringent service deadlines entail further challenges. Meanwhile, high revenue r[...]
Article : texte imprimé
Barlas, Y., Auteur ;
Gunduz, B., Auteur
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Supply chain inventories are prone to fluctuations and instability. Known as the bullwhip effect, small variations in the end item demand create oscillations that amplify throughout the chain. By using system dynamics simulation, we investigate [...]
Article : texte imprimé
Ali, M. M., Auteur ;
Boylan, J. E., Auteur
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Many companies are adopting strategies that enable Demand Information Sharing (DIS) between the supply chain links. Recently, a steady stream of research has identified mathematical relationships between demands and orders at any link in the sup[...]
Article : texte imprimé
Fildes, R., Auteur ;
Kingsman, B., Auteur
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This paper develops a framework for examining the effect of demand uncertainty and forecast error on unit costs and customer service levels in the supply chain, including Material Requirements Planning (MRP) type manufacturing systems. The aim i[...]
Article : texte imprimé
Ferreira, L., Auteur ;
Borenstein, D., Auteur
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This paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle spec[...]
Article : texte imprimé
Hahn, G. J., Auteur ;
Kuhn, H., Auteur
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Economic Value Added (EVA®) and corresponding value driver trees are prevalent frameworks of value-based management to measure and analyse shareholder value creation. However, they are explanatory models from an operations research perspective a[...]
Article : texte imprimé
Sodhi, M. S., Auteur ;
Tang, C. S., Auteur
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We show how to extend the demand-planning stage of the sales-and-operations-planning (S&OP) process with a spreadsheet implementation of a stochastic programming model that determines the supply requirement while optimally trading off risks of u[...]
Article : texte imprimé
Franses, P. H., Auteur ;
Legerstee, R., Auteur
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Experts (managers) may have domain-specific knowledge that is not included in a statistical model and that can improve short-run and long-run forecasts of SKU-level sales data. While one-step-ahead forecasts address the conditional mean of the v[...]
Article : texte imprimé
Nikolopoulos, K., Auteur ;
Syntetos, A. A., Auteur ;
Boylan, J. E., Auteur
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Intermittent demand patterns are characterised by infrequent demand arrivals coupled with variable demand sizes. Such patterns prevail in many industrial applications, including IT, automotive, aerospace and military. An intuitively appealing st[...]
Article : texte imprimé
Taylor, J. W., Auteur
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Efficient supply chain management relies on accurate demand forecasting. Typically, forecasts are required at frequent intervals for many items. Forecasting methods suitable for this application are those that can be relied upon to produce robus[...]
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