The Benders decomposition algorithm has been successfully applied to a wide range of
difficult optimization problems. This paper presents a state-of-the-art survey of this algorithm …

Robust optimization (RO) has been recognized as an effective means to deal with
unanticipated events in highly uncertain and risky environments. This paper systematically …

The present study proposes two mixed integer linear programming model for two important
aspects of integrated production-distribution scheduling: order acceptance and batch direct …

We model and solve an order acceptance and scheduling problem in an identical parallel
machine setting. The goal is to maximize profit by making four decisions:(i) accept or reject …

This paper considers the problem of scheduling a set of jobs on unrelated parallel machines
subject to several constraints which are non-zero arbitrary release dates, limited additional …

We model and solve integrated multi-period staffing, assignment, routing, and scheduling of
caregivers for home care services and obtain insights for the case under uncertainty. The …

In make-to-order production systems, manufacturer can have limited capacity and due to the
order delivery time requirements, it may not be possible to accept all orders. This leads to …

This paper investigates an order acceptance and scheduling problem with an energy
consumption budget, a machine launch budget, and the order release time in a green …

This paper studies an order acceptance and scheduling (OAS) problem on unrelated
parallel machines to maximize the total net revenue of accepted orders, which is the …

Nowadays, with huge progress in digital imaging, new image processing methods are
needed to manage digital images stored on disks. Image retrieval has been one of the most …