KEYWORDS In this paper, we consider scheduling of project networks under minimization of total weighted resource tardiness penalty costs. In this problem, we assume constrained resources are renewable and limited to very costly machines and tools which are also used in other projects and are not accessible in all periods of time of a project. In other words, there is a dictated ready date as we...

We study the problems of scheduling jobs, with different release dates and equal processing times, on two types of batching machines. All jobs of the same batch start and are completed simultaneously. On a serial batching machine, the length of a batch equals the sum of the processing times of its jobs and, when a new batch starts, a constant setup time s occurs. On a parallel batching machine,...

A particle swarm optimization algorithm (PSO) has been used to solve the single machine total weighted tardiness problem (SMTWT) with unequal release date. To find the best solutions three different solution approaches have been used. To prepare subhybrid solution system, genetic algorithms (GA) and simulated annealing (SA) have been used. In the subhybrid system (GA and SA), GA obtains a solut...

This paper presents a new mixed-integer goal programming (MIGP) model for a parallel machine scheduling problem with sequence-dependent setup times and release dates. Two objectives are considered in the model to minimize the total weighted flow time and the total weighted tardiness simultaneously. Due to the com-plexity of the above model and uncertainty involved in real-world scheduling probl...

We present a novel model for due date quotation. Jobs arrive at a single server or m-machine flow shop over time. Upon arrival, the processing times on each machine of the job are known, and due dates must be quoted for each job. The jobs are sequenced on the machines without preemption. Associated with each job, there are three measures of disadvantages to the inventory cost and the service le...

This paper proposes an efficient exact algorithm for the general single-machine scheduling problem where machine idle time is permitted. The algorithm is an extension of the authors’ previous algorithm for the problem without machine idle time, which is based on the SSDP (Successive Sublimation Dynamic Programming) method. We first extend our previous algorithm to the problem with machine idle ...

Even though a very large number of solution methods has been developed for the jobshop scheduling problem, the majority are designed for the makespan criterion. In this paper, we propose a general approach for optimizing any regular criterion in the job-shop scheduling problem. The approach is a local search method that uses a disjunctive graph model and neighborhoods generated by swapping crit...

Original scientific paper This paper presents a hybrid genetic algorithm for assembly flow-shop scheduling problem with sequence-dependent setup and transportation times, with objectives, namely the minimizing of weighted, sum of total weighted squared tardiness, makespan, and total weighted squared earliness and number of tardy jobs. Since the problem is NP-hard, we solved this problem by hybr...

The research proposes a two-phase matching-based decoding scheme that will be incorporated into bi-objective simulated annealing (SA) to solve unrelated parallel machine scheduling problems (UPMSP). The two objectives are to maximize the satisfactions of makespan and average tardiness, in terms of fuzzy measure. The effectiveness of the decoding scheme is investigated using four simulated annea...

This paper proposes exact algorithms to generate optimal timing schedules for a given sequence of operations in job shops minimize the total weighted earliness and tardiness. The are proposed two shop scheduling scenarios, one involving due dates only last operation each other all on jobs. Computational experiments benchmark problem instances reveal that, case scenario job, faster than those ge...