Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 99 for “"Demand Forecasting"”.
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Point-of-sale demand forecasting
… intervals and 95% availability. However, demand fluctuations and current forecasting processes have resulted in frequent stock-outs and inventory surpluses, which in turn affect revenue, profitability, and brand trust. Potential root causes for demand fluctuations have included: -- Erratic …
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Demand forecasting for aircraft engine aftermarket
… and associated confidence of the parts demands are very limited. This thesis focuses on exploring alternative and innovative approaches to providing more accurate demand forecasts based on limited information. Approaches including application of fundamental sampling theorems, random walk …
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Forecast combination in revenue management demand forecasting.
… After an introduction into the application of forecasting seasonal behaviour in Revenue Management, a literature review of the theory of forecast combination is provided. In order to get a clearer idea of under which condition combination works, we then investigate aspects of forecast diversity …
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Machine learning for real-time demand forecasting
… a taxi company, the capability to forecast taxi demand distribution in advance provides valuable decision supports. This thesis studies real-time forecasting system of spatiotemporal taxi demand based on machine learning approaches. Traditional researches usually examine a couple of candidate …
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Device-oriented telecommunications customer call center demand forecasting
… call center resources are balanced with customer demand, an accurate forecast of incoming call volume is required months in advance. The standard forecasting method used at Verizon relies on an analysis of aggregate call volume. By analyzing the growth trend of the customer base and the …
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Modeling with Attention in Demand Forecasting and Beyond
Time series forecasting is an important task in many fields from supply chain management to weather forecasting. Traditionally there have been many simple models that extrapolate trends and seasonal patterns from individual time series in order to forecast future values, but not until recently have …
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Demand forecasting and optimizing room allocation at Icelandair Hotels
… hotels face every day. During a period of high demand like the Icelandic tourist industry is experiencing now, hotels are in the position of being able to select the most profitable customers to stay at the hotel instead of welcoming every sale. A consequence of this high demand are frequent …
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Demand forecasting using Monte Carlo Multi-Attribute Utility Theory
… product market shares and overall raw material demand. This thesis demonstrates how Multi-Attribute Utility Theory (MAUT) can be extended to the group level to forecast future market shares by applying a distribution to the attribute weights and using a Monte Carlo simulation to capture the …
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Combined Travel Demand Forecasting Model With Detailed Modal Access Considerations
The improvements of the proposed formulation are discussed in terms of including modal accessibility and destination size variables. The model is applied to a portion of the Chicago area. The quality of the solution convergence, the evaluation of model performance compared to the observed travel …
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Redefining the aftermarket demand forecasting process using enterprise resource planning
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.
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Cannibalization effects of products in Zara's stores and demand forecasting
… offerings and fickle consumer tastes, product demand in the apparel retail industry is volatile and difficult to predict. It is also thought to be impacted significantly by the presence of other products in the store, which may cannibalize or complement sales. This thesis explores the …
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Does the inclusion of climate variables improve tourism demand forecasting performance?
… climate variables in econometric and combination forecasting models can improve tourism demand forecasting performance. Climate conditions are important tourism resources which can influence tourists’ decision as to when and where to travel, however, our understanding of the value of climate …
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Information flow and demand forecasting issues in a complex supply chain
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1995, and Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1995.
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Demand Forecasting In Manufacturing Pharmaceutical Small and Medium Enterprise’s (SME’s) In Ghana
Forecasting is a ubiquitous, multi-discipline area which has received much attention from practitioners and researchers for many several years. It permeates every facet of an organisation’s life as the bedrock of planning and decision making. An organisation’s ability to accurately predict future …
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New product demand forecasting and distribution optimization : a case study at Zara
… of a modular system including distributional demand forecasting and dynamic programming distribution optimization. The demand forecasting module combined the practice of using similar products to predict the demand of a new product with a new store or customer cluster data aggregation scheme. …
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Demand forecasting at Zara : a look at seasonality, product lifecycle and cannibalization
… high product mix and vast global network makes demand forecasting for Zara a challenging endeavor. This thesis sets out to incorporate the effects from seasonality, product lifecycle, and cannibalization into a long term aggregate demand forecast and a short term SKU replenishment forecast. For …
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A natural language processing approach to improve demand forecasting in long supply chains
… is one of the established approaches to improve demand forecasting and reduce the bullwhip effect, but it is infeasible to do so effectively in a long supply chain. Using the polystyrene industry as a case study, this thesis explores the usage of modern natural language processing (NLP) …
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