박명주 교수

In labor scheduling, restaurant managers face dual challenges: overstaffing that means excessive labor costs and understaffing that invites the opportunity cost of service errors and lost business. Most operators seek to rely on their personal experience and judgment to determine schedules that are meant to maintain service quality and limit labor costs, but an analysis of one Korean restaurant finds that this goal is elusive. The labor scheduling model based on integer programming (IP) is prese

Compromising productivity in exchange for energy saving does not appeal to highly capitalized manufacturing industries. However, we might be able to maintain the same productivity while significantly reducing energy consumption. This paper addresses a flexible job shop scheduling problem with a shutdown (on/off) strategy aiming to minimize makespan and total energy consumption. First, an alternative mixed integer linear programming model is proposed. Second, a novel constraint programming is pro

We consider the transport of containers through a fleet of ships. Each ship has a capacity constraint limiting the total number of containers it can carry and each ship visits a given set of ports following a predetermined route. Each container has a release date at its origination port, and a due date at its destination port. A container has a size 1 or size 2; size 1 represents a 1 TEU (20‐foot equivalent unit) and size 2 represents 2 TEUs. The delivery time of a container is defined as the ti

Abstract In this paper, we consider the problem of minimizing the total weighted completion time in an n-job, two-machine proportionate flow shop, where job processing times are inversely proportional to machine speeds. We show that the problem is NP-complete. We provide a tight lower bound to an optimal objective value and show that the worst-case performance ratio of the weighted shortest processing time rule is less than 2. We propose heuristic procedures to find an approximate solution for t