Abstract
With the intensification of global population, food security is a big concern. Food waste stems from inappropriate inventory management. Companies offer a wide range of products to capture more sales, yet this increases inventories and complicates inventory management. Management challenges are worsened by three factors: uncertain consumer demand, product lifetimes, and consumer substitution among the product range. This research aims to understand the effects of these factors on inventory performance. The analytic hierarchy process (AHP) method was used to weight the importance of each of the non-financial performance measures from the simulation results and data envelopment analysis (DEA) was used to rank and evaluate the scenarios. Then, the most favorable scenario or replenishment policy, which had the lowest DEA efficiency score, was chosen. The results show that when the substitution ratio is greater, its interaction with consumer demand and product lifetime has mostly a small- or medium-sized effect on retailers’ performance, in contrast to relatively larger effects on the supplier. These findings show that suppliers’ performance is affected largely by the existence of the bullwhip effect in the model. Recommendations are provided for managers who are facing uncertainties of consumer demand, substitution, and product lifetime.
Highlights
The global population is currently over seven billion, and in the 30 years, it is expected to reach over nine billion [1]
We turn to the examination of the effects of consumer demand, product lifetime, and lost sales probability on the performance of inventory models
While analysis of variance (ANOVA) is known as a univariate test and is used for one dependent variable, multivariate analysis of variance (MANOVA) measures differences in two or more outputs and is known as a multivariate test [66]
Summary
The global population is currently over seven billion, and in the 30 years, it is expected to reach over nine billion [1]. Knowledge of the effects of the characteristics of a problem and the interactions with others in system performance under different contexts helps to define a suitable replenishment policy to resolve the food waste issue. Understanding these characteristics and their interactions have been demonstrated as important by Kök and Fisher [4] who, in reference to a real-world apparel case, suggested that profits may be increased by up to 50% when taking the operational characteristics of products into account during planning. Holding the right level of inventory at the right locations is profitable for firms, it minimizes product wastage and improves the sustainability of their firm
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