This study reports the test results of a two-stage stochastic linear programming (SLP) model
with recourse using a user-friendly generic decision support system (DSS) in a North …

The impact of a Stochastic Linear Programming (SLP) based Decision Support System in a
manufacturing company, such as an integrated aluminum plant, is measured by two …

This study examines how supply chain management can use stochastic optimization models
to overcome the problems associated with decision-making uncertainty. The study's primary …

We introduce a multiple scenario, multiple period, optimization-based decision support
system (DSS) for strategic planning in a process industry. The DSS is based on a two stage …

Material Requirements Planning (MRP), a core component of enterprise resource planning
(ERP) systems, is widely used by manufacturers to determine the production lot sizes of …

Motivated by the challenges encountered in sawmill production planning, we study a multi-
product, multi-period production planning problem with uncertainty in the quality of raw …

This study proposes a multi-stage stochastic production planning approach for a joint lot
sizing and workforce scheduling problem under demand uncertainty. Scenario trees are …

Optimisation under uncertainty, also referred to as stochastic optimisation, originated during
the 1950s. This research field was later extended into prominent application areas, including …

We show how to extend the demand-planning stage of the sales-and-operations-planning
(S&OP) process with a spreadsheet implementation of a stochastic programming model that …

The main objective of this work is to develop an optimization model for the supply chain of a
petrochemical company operating under uncertain operating and economic conditions. First …