Contemporary technology for Product Lifecycle Management (PLM) integrates computer aided design (CAD) and engineering analysis (CAE) to support rapid, distributed, team-oriented product data development and management, including high fidelity simulation on demand. . This technology potentially provides a platform for creating a new generation of factory design tools which enable “on demand” sim...

The article provides a perspective of chemical process and product design on-demand, plus its implementation and impact in addressing modern challenges faced by the chemical industry. The concepts of Global Information Systems in Science and Engineering in application to the field of thermodynamics as well as Dynamic Data Evaluation for thermophysical and thermochemical properties are discussed...

Aggregate demand models typically assume that consumers choose between all available products. Since consumers may be unwilling to search across every store in a given market for a particular item, this assumption is problematic when product assortments vary across stores. Using supermarket scanner data for five product categories we demonstrate that approximately one third of products have lim...

In forecasting demand for expensive consumer goods, direct questioning of potential consumers about their future purchasing plans has had considerable predictive success [1, 2, 4]. Any attempt to apply such "intention to purchase" methods to forecast demand for proposed products or services must determine some way to convey product information to the potential consumer [3]. Indeed, all the pros...

In this article we study patterns of vertical product differentiation in a multi‐product monopoly using a random utility model. Prior research shows that applying such a model in a multi‐product setting implies symmetric patterns of product differentiation in which all product variants of a single firm have the same characteristics. Assuming that preferences differ across consumers and ...

In this paper, the multi-purpose machines problem denoted MPM |split|Cmax is considered. In such a problem, each machine is qualified to process a subset of product types but not necessarily all the product types. The set of the qualifications machine/product represents the configuration of the multi-purpose machines workshop. Uncertainties on the demand are considered and a question related to...

Evidence has shown that the provision of product information in electronic markets decreases the price elasticity of demand due to the ‘fit’ cost. This effect, however, could differ according to how consumers perceive the value of the product information to their quality evaluation procedures. If the information has very limited value, then they may not rely on it; thus, the demand elasticity m...

We examine a multiperiod capacity allocation model with upgrading. There are multiple product types, corresponding to multiple classes of demand, and the firm purchases capacity of each product before the first period. Within each period, after demand arrives, products are allocated to customers. Customers who arrive to find that their product has been depleted can be upgraded by at most one le...

Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process configuration in order to support mastering ...

We consider a manufacturer of mass-customized modular products who orders components under demand uncertainty, and sets prices, produces to order, and trades excess components in a secondary market after this uncertainty is resolved. The sequence of events reflects, in a parsimonious fashion, the considerable reduction in demand uncertainty between the procurement stage and the selling season, ...