Given the anticipated benefits of better solutions, the scheduling problem of minimizing the total tardiness for single machine with sequence dependent setup times continues to represent a challenge for researchers to resolve. This research presents a novel Max-Min Ant System (MMAS) algorithm for solving this problem. The MMAS algorithm adopts a new local search technique where, a position is r...

This study examines the productivity-related effects and costs of intimate partner violence (IPV) on the workplace. Specifically, it explores whether IPV victims and nonvictims differ in the number of work hours missed due to absenteeism, tardiness, and work distraction and the costs for employers from these missed work hours. The research involved a Web-based survey of 823 male and 1,550 femal...

User satisfaction determines the success of webdatabase applications. User satisfaction can be expressed in terms of expected response time or expected delay. Given the bursty and unpredictable behavior of web user populations, we model user requests as transactions with softdeadlines. For such a model of user requests with softdeadlines, the hit ratio is not the most expressive metric. Instead...

The term flexible flow line (FFL) denotes a generalization of the standard flow shop where at least one stage comprises more than one machine. We present a scheduling algorithm for the FFL which minimizes a combination of job tardiness and machine utilization. To our knowledge, this is the first exact method that minimizes a tardiness based objective function for the given production facility. ...

This paper proposes a heuristic method based on ant colony optimization to determine the suboptimal allocation of dynamic multi-attribute dispatching rules to maximize job shop system performance (four measures were analyzed: mean flow time, max flow time, mean tardiness, and max tardiness). In order to assure high adequacy of the job shop system representation, modeling is carried out using di...

⎯In this paper, we consider the single machine earliness/tardiness scheduling problem with different release dates and no unforced idle time. The most effective lower bound uses multiplier adjustment procedures that require an initial sequence. We investigate the sensitivity of the lower bounding procedure to the initial sequences, and experiment with different scheduling rules and dominance co...

This paper presents the optimal sequence of a set of jobs for a single machine with idle insert, in which the objective function is to minimize the sum of maximum earliness and tardiness (n/1/I/ETmax). Since this problem tries to minimize and diminish the values of earliness and tardiness, the results can be useful for different production systems such as just in time (JIT). Special case of det...

In this paper, we demonstrate the ease in which an adaptive simulated annealing algorithm can be designed. Specifically, we use the adaptive annealing schedule known as the modified Lam schedule to apply simulated annealing to the weighted tardiness scheduling problem with sequence-dependent setups. The modified Lam annealing schedule adjusts the temperature to track the theoretical optimal rat...

In this study, a tabu search (TS) approach to the single machine total weighted tardiness problem (SMTWT) is presented. The problem consists of a set of independent jobs with distinct processing times, weights and due dates to be scheduled on a single machine to minimize total weighted tardiness. The theoretical foundation of single machine scheduling with due date related objectives reveal tha...

In this paper we present a new Discrete Particle Swarm Optimization (DPSO) approach to face the NP-hard single machine total weighted tardiness scheduling problem in presence of sequence-dependent setup times. Differently from previous approaches the proposed DPSO uses a discrete model both for particle position and velocity and a coherent sequence metric. We tested the proposed DPSO mainly ove...