One of the most important tasks operations manager are confronted with is to determine production quantities over a medium-size planning horizon such that demand is met, scarce production facilities are not overloaded and that the sum of holding and setup costs is minimized. For the single machine case the well-known Capacitated Lot-Sizing Problem (CLSP) has been proposed to determine minimum c...

In a competitive world, it is important to measure and improve the performance of software engineering processes and imperative to identify and eliminate rework that could have been avoided. The cost of software quality is one measure of the performance of software processes. It comprises the total cost associated with the prevention, appraisal, and correction of the anomalies in a product. A m...

In this paper we consider a single period multi-product inventory problem with stochastic demand, setup cost for production, and one-way product substitution in the downward direction. We model the problem as a two-stage integer stochastic program with recourse where the first stage variables determine which products to produce and how much to produce, and the second stage variables determine h...

A purchasing inventory model with shortages where carrying cost, shortage cost, setup cost and demand quantity are considered as fuzzy numbers. The fuzzy parameters are transformed into corresponding interval numbers and then the interval objective function has been transformed into a classical multi-objective economic ordering quantity (EOQ) problem. To minimize the interval objective function...

This paper addresses production-inventory problem for the manufacturer by explicitly taking into account multistage and varying demand. A nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon. A genetic algorithm is developed for the problem. A series of computational experiments with different sizes...

An important aspect of retail outlets which offer different kinds of fresh meat is the careful planning of inventory. In this context, inventory management includes ensuring the required quantity of meat, storing it in an adequate way, and also minimizing the setup cost, holding cost, shortage cost and possible losses that might occur if the goods remain unsold. By devising and applying appropr...

In this article, an imperfect vendor–buyer inventory system with stochastic demand, process quality control and learning in production is investigated. It is assumed that there are learning in production and investment for process quality improvement at the vendor’s end, and lot-size dependent lead-time at the buyer’s end. The lead-time for the first batch and those for the rest of the batches ...

Predicting construction cost of rework (COR) allows for the advanced planning and prompt implementation appropriate countermeasures. Studies have addressed causation different impacts COR but not yet developed robust predictors required to detect rare items with a high-cost impact. In this study, two ensemble learning methods (soft hard voting classifiers) are utilized nonconformance reports (N...

The increased complexity of modern manufacturing has led to uncertainties in production processes. Factors such as unplanned machine maintenance, tool unavailability, and complex process adjustments make it difficult to maintain a predictable level of output. To be effective, an appropriate production model must incorporate these uncertainties into the representation of the production process. ...

We study optimal procurement mechanisms for a financially constrained buyer subject to ex post incentive compatibility and individual rationality. In our setup, a buyer who has a fixed budget wishes to purchase a homogeneous product up to a maximum demand amount. We characterize the optimal mechanism when the budget constraint always binds and when the maximum demand constraint always binds. Wh...