Search results

1 – 2 of 2
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 23 August 2011

Neal Wagner, Zbigniew Michalewicz, Sven Schellenberg, Constantin Chiriac and Arvind Mohais

The purpose of this paper is to describe a real‐world system developed for a large food distribution company which requires forecasting demand for thousands of products across…

3731

Abstract

Purpose

The purpose of this paper is to describe a real‐world system developed for a large food distribution company which requires forecasting demand for thousands of products across multiple warehouses. The number of different time series that the system must model and predict is on the order of 105. The study details the system's forecasting algorithm which efficiently handles several difficult requirements including the prediction of multiple time series, the need for a continuously self‐updating model, and the desire to automatically identify and analyze various time series characteristics such as seasonal spikes and unprecedented events.

Design/methodology/approach

The forecasting algorithm makes use of a hybrid model consisting of both statistical and heuristic techniques to fulfill these requirements and to satisfy a variety of business constraints/rules related to over‐ and under‐stocking.

Findings

The robustness of the system has been proven by its heavy and sustained use since being adopted in November 2009 by a company that serves 91 percent of the combined populations of Australia and New Zealand.

Originality/value

This paper provides a case study of a real‐world system that employs a novel hybrid model to forecast multiple time series in a non‐static environment. The value of the model lies in its ability to accurately capture and forecast a very large and constantly changing portfolio of time series efficiently and without human intervention.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Access Restricted. View access options
Article
Publication date: 17 May 2018

Delia Vîrga and Andrei Rusu

The purpose of this paper is to understand the role played by core self-evaluations (CSEs) in relationship to both job seekers’ job search behaviour and health complaints by…

721

Abstract

Purpose

The purpose of this paper is to understand the role played by core self-evaluations (CSEs) in relationship to both job seekers’ job search behaviour and health complaints by examining the mediating role of job search self-efficacy (JSSE).

Design/methodology/approach

The present cross-sectional study was conducted on 216 Romanian unemployed persons. The hypothetical and alternative models (partial and full mediation) were tested using structural equation modeling.

Findings

The results supported a total mediation between CSE and job search behaviour and a partial one in relationship with health complaints, via JSSE. As a post hoc decision, a brief meta-analysis was conducted for the relationship between CSE and job search behaviour which revealed a very small effect (r=0.07, p=0.001). This result complemented and certified the findings on the lack of a total and also a direct effect between CSE and job search behaviour.

Originality/value

JSSE seems to be an important motivational factor. Fuelled by CSE, JSSE enables proper job search behaviour and also promotes job seekers’ health. From a practical point of view, the data suggest that developing interventions to strengthen unemployed individuals’ personal resources such as CSE and, especially JSSE, could not only foster their employment but could also protect their health.

Details

Career Development International, vol. 23 no. 3
Type: Research Article
ISSN: 1362-0436

Keywords

1 – 2 of 2
Per page
102050