Predicting amount of saleable products using neural network metamodels of casthouses

This study aims at developing abstract metamodels for approximating highly nonlinear relationships within a metal casting plant. Metal casting product quality nonlinearly depends on many controllable and uncontrollable factors. For improving the productivity of the system, it is vital for operation planners to predict in advance the amount of high quality products. Neural networks metamodels are developed and applied in this study for predicting the amount of saleable products. Training of metamodels is done using the Levenberg-Marquardt and Bayesian learning methods. Statistical measures are calculated for the developed metamodels over a grid of neural network structures. Demonstrated results indicate that Bayesian-based neural network metamodels outperform the Levenberg-Marquardt-based metamodels in terms of both prediction accuracy and robustness to the metamodel complexity. In contrast, the latter metamodels are computationally less expensive and generate the results more quickly.

Historical data of Backwell IXL: a Geelong appliance, car component and foundry products manufacturer

The collection documents the history of the Geelong company, Backwell IXL, which commenced in 1858 (first trading under the name E. Backwell & Son) as a blacksmith's shop and stove maker and covers the growth of the business to an appliance, car component and foundry products manufacturer. This collection comprises records, accounts, photographs and product data sheets. It also includes the manuscript of the 'Memoirs of Albert Leslie Backwell', which contained a brief history of the company from the late 1850s to 1980s, including recollections of the management of the company from the early 1920s to the mid 1975s.

Biotechnology in U.S. agriculture: Trade consequences for dairy products

The emergence of synthetic bovine Somatotropin (bST) is one of the most widely discussed advances in biotechnology. Its potential impacts on milk production around the world could be significant. However, the exact economic impacts of bST in any one region depends on a number of factors, some of which are still highly controversial.

This article sets out to estimate the economic impacts of the adoption of bST in the United States, the single largest milk producer in the Western world. A quarterly econometric model of the U.S. dairy sector is used to forecast the total production, consumption, and excess supply of milk to 1995. The preliminary results indicate that under the assumption of a gradual rate of adoption and a 15 percent milk production response, the United States could be exporting as much milk as New Zealand by 1995. Should the production response rate or the adoption rate be higher, the United States could indeed become a major competitor in the world dairy market by 1995.

Although such a development could adversely impact on other dairy exporters, such as New Zealand, the precise economic impacts on world prices and trade would depend crucially on the position that other major dairy producers, especially the EC, adopt with respect to the use of bST.

Enterprise systems for innovation in products and processes : beyond operational efficiency

It has been widely accepted now in industry and academia that Enterprise Systems (ES) can create value for adopting organizations by enabling operational efficiency. However, given the enormous investments they warrant, the potential of such systems to deliver more than improving operations is emerging as a popular area of investigation. This paper reports a research-in-progress that proposes innovation as a means of creating business value with Enterprise Systems. The primary contribution of this paper is a process model that proposes that Enterprise Systems can enable innovation - in products and processes, and supports it with empirical evidence using three case studies. The intention is to test this model further with more case studies and a survey.

"Lose 30lbs in 30 days" : assigning responsibility for deceptive advertising of weight-loss products

Purpose – The aim of this paper is to outline key social marketing issues apparent in deceptive weight-loss advertising, from the perspective of government policy-makers, manufacturers, the media, and consumers. The purpose is to examine the complexity of one aspect of the obesity battle and provide a framework for coordinated and integrated social marketing initiatives from a multiple stakeholder perspective.

Design/methodology/approach – The results of deceptive weight-loss advertising are framed using the harm chain model, and the paper offers recommended solutions based on a framework of marketing, education and policy changes across the network of stakeholders.

Findings – This paper concludes that a resolution to the harm created by deceptive weight-loss advertising can be achieved by the creation of a more holistic, system-wide solution to this important health and policy issue. This networked approach must involve all aspects of harm in a multi-stakeholder solution, including both upstream and downstream integration. Specific recommendations are made for policy-makers, manufacturers, the media, and consumers to achieve this goal.

Social implications – From a marketing perspective, analyzing the issue of deceptive weight-loss advertising using the harm chain allows for the creation of a more holistic, system-wide solution involving stakeholders in all aspects of harm for this important health and policy issue.

Originality/value – This research examines the problem of obesity and weight-loss advertising from the unique perspective of the harm chain framework. The authors make unified recommendations for various stakeholders including industry, media, government and consumers, in order to direct integrated social marketing and consumer-oriented strategies within this industry.

Health labelling can influence taste perception and use of table salt for reduced-sodium products

Objective : To investigate the effect of front-of-pack labels on taste perception and use of table salt for currently available and sodium-reduced soups.

Design : Within-subject design.

Setting : Sensory laboratory.

Subjects : Participants (n 50, mean age 34·8 (sd 13·6) years) were randomly served nine soups (250 ml each) across 3 d. Servings differed in: (i) health label (i.e. no health label, reduced-salt label or Heart Foundation Tick); and (ii) sodium reduction (no reduction – benchmark, 15 % less sodium or 30 % less sodium). Before tasting, participants rated their expected salt intensity and liking. After tasting, participants rated their perceived salt intensity and liking, after which they could add salt to the soup to make it more palatable.

Results : Reduced-salt labels generated a negative taste expectation and actual taste experience in terms of liking (P < 0·05) and perceived saltiness (P < 0·05). Perceived saltiness of sodium-reduced soups decreased more (P < 0·05), and consumers added more salt (P < 0·05), when soups carried the reduced-salt label. The tick logo and soups without health labels had no such influence on taste perception.

Conclusions : Emphasizing salt reduction by means of a front-of-pack label can have a negative effect on taste perception and salt use, especially when consumers are able to taste differences between their regular soup and the sodium-reduced soup. Overall health logos which do not emphasize the reduction in salt are less likely to affect perceived salt intensity and therefore are viable solutions to indicate the healthiness of sodium-reduced products.