This paper presents a model and an analysis of the cost-flexibility tradeoffs involved in investing in product-flexible manufacturing capacity. Flexible capacity provides a firm with the ability to respond to a wide variety of future demand outcomes, but at the expense of the increased cost of...

Purpose: This study assesses how “green behaviour” influences the switching intention towards remanufactured products in sustainable consumers by introducing the possibility of an innovation diffusion approach for promotion efforts. Design/methodology/approach: This study utilises a...

Purpose: Product performance measurements have been used to explain other business performance variables. The purpose of this paper is to propose that, regarding Mexican consumers, the “comparison-based perceived attribute performance” (CAP) approach is a better predictor of outcomes, such...

Purpose This paper aims to show how consumers process information differently under two dissimilar types of brand strategies. By analysing data from dishwashing detergent consumers who evaluated two different brands, one with a high differentiated/performance/price brand (HB) strategy and other...

Purpose – The purpose of this paper is to assess the relationship between perceived brand quality (PBQ), customer perceived value (CPV) and disposition to pay a higher price (DHP) for a product. Such an assessment also seeks to determine if consumer involvement and brand performance...

This article presents a practical tool for optimally scheduling wine grape harvesting operations taking into account both operational costs and grape quality. We solve a mixed-integer linear programming model to support harvest scheduling, labor allocation, and routing decisions. A quality loss...

Good demand estimates are the key to effective pricing decision-making. However, they are subject to a high degree of uncertainty due to various factors that are unpredictable or difficult to model, thus making pricing decisions risky. This research provides a simple proposal for a robust...

Optimization models are increasingly being used for planning natural resources operations. However, the inherent uncertainty present in natural resources makes it difficult to directly apply their results. In particular, production scheduling for sawmills presents several challenges since the...

Optimization models are increasingly being used in agricultural planning. However, the inherent uncertainties present in agriculture make it difficult. In recent years, robust optimization has emerged as a methodology that allows dealing with uncertainty in optimization models, even when...