Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …

Abstract The Augmented Lagrangian method (ALM) is one of the algorithms in a class of
methods for constrained optimization of nonlinear problems (NLP) that seeks a solution by …

Recent studies have conceptualized the potential for a dark and bright perspective of
network complexity in relation to supply chain disruption and resilience respectively. Few …

The increasing development of the competitive market has forced organisations to make
great efforts in the processes of supply, production, and distribution to meet customer …

This study designs a single-buyer single-vendor multi-product Economic Production
Quantity (EPQ) model to optimize the total cost in an inventory system. To do so, a Non …

The seismic impact of the COVID-19 outbreak has accelerated the evolution of resilient
supply chains, shedding light on the indispensable role of digitalization in this trans …

Today, there is a lot of competition between competitors in the market of different products.
The level of complexity of relationships and behavior of active players in the market has also …

Purpose The rapidly growing e-commerce industry with its special characteristics brings new
challenges to the optimization of the supply chain and inventory management. This study …

Many real-life medium and large-scale organisations have shifted to online selling of
products within dual-channel supply chain framework, whereas legislation favouring …

This paper aims to assess the effect of inventory control systems on performance of mining
firms in Zimbabwe. A systematic literature review was used to review current and relevant …