Similar Search Results

Travel and activity time allocation: An empirical comparison between eight cities in Europe

Raux, Charles; Ma, Tai-Yu; Joly, Iragaël; Kaufmann, Vincent - HAL - 2011

A study of daily time allocation to travel and out-of-home activity is conducted across eight European cities over …), based on individual travel survey data collected between 1997 and 2006. The effects of socio-demographic, spatial context … density and proximity to high level road or public transport networks have a very limited impact on time budgets for travel …

Persistent link: https://www.econbiz.de/10008873565

PERFORMANCE ASSESSMENT OF DISTRIBUTED INVENTORY IN PHYSICAL INTERNET

Pan, Shenle; Nigrelli, Michele; Ballot, Eric; Sarraj, Rochdi - HAL - 2013

inventory kept in others locations. Within the Physical Internet approach, inventories are distributed in hubs towards the … and inventory costs with service level set as a constraint. The analysis focuses on the resources levels (transportation … and inventory) needed by the current supply model and by the Physical Internet in order to serve a market with a (Q …

Persistent link: https://www.econbiz.de/10010820915

Optimal Assignment of Durable Objects to Successive Agents

Bloch, Francis; Houy, Nicolas - HAL - 2009

This paper analyzes the assignment of durable objects to successive generations of agents who live for two periods. The optimal assignment rule is stationary, favors old agents and is determined by a selectivity function which satisfies an iterative functional differential equation. More patient...

Persistent link: https://www.econbiz.de/10008794777

Basics of Dynamic Programming for Revenue Management

Chapuis, Jean Michel - HAL - 2008

The Revenue Management (RM), namely the pricing and the inventory control of a perishable product, is usually used to …

Persistent link: https://www.econbiz.de/10011025827

A new approach for estimation of long-run relationships in economic analysis using Engle-Granger and artificial intelligence methods

Amiri, Arshia; Gerdtham, Ulf-G; Ventelou, Bruno - HAL - 2012

In time series analysis, most estimation of relationships and tests are typically based on linear estimators and most classical co-integration methods and causality tests are based on OLS regresses. However the linear functional specification is not necessarily the most appropriate form. This...

Persistent link: https://www.econbiz.de/10009151635

A comparative study on forecasting polyester chips prices for 15 days, using different hybrid intelligent systems

Fazli, Mojtaba Sedigh; Lebraty, Jean-Fabrice - HAL - 2013

Forecasting in a risky situation is a very important function for managers to assist in decision making. One of the fluctuated markets in stock exchange market is chemical market. In this research the target item for prediction is PET (Poly Ethylene Terephthalate) which is the raw material for...

Persistent link: https://www.econbiz.de/10010899158

A solution for forecasting pet chips prices for both short-term and long-term price forcasting, using genetic programming

Fazli, Mojtaba Sedigh; Lebraty, Jean-Fabrice - HAL - 2013

Nowadays, forecasting what will happen in economic environments plays a crucial role. We showed that in PET market how a neuro-fuzzy hybrid model can assist the managers in decision-making. In this research, the target is to forecast the same item through another intelligent tool which obeys the...

Persistent link: https://www.econbiz.de/10010692168

A knowledge engineering framework for intelligent retrieval of legal case studies

Saadoun, Adel; Ermine, Jean-Louis; Belair, Claude; … - HAL - 1997

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is...

Persistent link: https://www.econbiz.de/10011025587

Forecasting exchange rates better than the random walk thanks to machine learning techniques

Amat, Christophe; Michalski, Tomasz; Stoltz, Gilles - HAL - 2014

Using methods from machine learning - adaptive sequential ridge regression with discount factors - that prevent overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP, UIRP and monetary models consistently improve the...

Persistent link: https://www.econbiz.de/10010899931