Feeding people sustainably during the COVID-19 pandemic remains a challenge, as food productivity is declining and there risk of chain breakage at any time. To maintain core function supplying to end consumers, new framework must be developed investigate strategies for coordinating supply comprised multiple suppliers with random output. Thus, in both decentralized centralized systems, this pape...

This paper examines a dynamic version of the newsboy problem in which a decision maker must maintain service capacity from several sources to attempt to meet uncertain demand for a perishable good, subject to the cost of providing sufficient capacity, and penalties for not meeting demand. A complete characterization of the optimal outcome is obtained when normalized demand is modeled as Brownia...

Lack of purchasing planning and proper demand forecasting causes hospitals to suffer from drug inventory mismatches with actual demand; in other words, the management cost is high if quantity exceeds or less demand. Therefore, this research aimed plan an appropriate purchase reduce costs effectively meet hospital's pharmaceutical needs a case study: i) for 29 AV drugs using Minitab 19, ii) econ...

We model a retailer whose supplier is subject to complete supply disruptions. We combine discrete-event uncertainty (disruptions) and continuous sources of uncertainty (stochastic demand or supply yield), which have different impacts on optimal inventory settings. This prevents optimal solutions from being found in closed form. We develop a closed-form approximate solution by focusing on a sing...

Supply chain management includes four major elements, namely manufacturers, suppliers, distributors and retailers. Inventory control plays a very important role in each of these four modules in the supply chain. There are many uncertain factors that will influence the accuracy of forecasting. Therefore, we need to investigate the uncertainties during the inventory control for these four differe...