The most general flowshop scheduling problem is also addressed in the literature as nonpermutation flowshop (NPFS). Current processors are able to cope with the (n!) m combinatorial complexity of non-permutation flowshop scheduling by metaheuristics. After briefly discussing the requirements for a manufacturing layout to be designed and modeled as non-permutation flowshop, a disjunctive graph (...

In this researcha particle swarm optimization (PSO) algorithm is proposedfor no-wait flowshopsequence dependent setuptime scheduling problem with weighted earliness-tardiness penalties as the criterion ( | , | ∑ " ).The smallestposition value (SPV) rule is applied to convert the continuous value of position vector of particles in PSO to job permutations.A timing algorithm is generated to find t...

This scheduling model is derived from the real problem of scheduling looms in a textile industry. Jobs may be independently split over several specified machines and preemption is allowed. Deadlines are specified for each job and jobs are assumed to be available. It is shown that minimizing maximum weighted tardiness can be done in polynomial time. The case of uniform machines (as in the consid...

Under just-in-time production, this paper studies a single machine common due-window (denoted by CONW) assignment scheduling problem with position-dependent weights and resource allocations. A job’s actual processing time can be determined the assigned to job. allocation model is divided into linear convex models, our goal find an optimal location, job sequence allocation. We prove that weighte...

Scheduling in a permutation flowshop refers to processing of jobs set available machines the same order. Among several possible performance characteristics flowshop, makespan remains one highest preferred metrics by researchers past six decades. The constructive heuristic proposed Nawaz-Enscore-Ham (NEH) is best for minimization. essentially depends on initial ordering according particular prio...

We consider flowshop environments that consist of multiple stages and multiple machines in each stage. The flowshops are flexible in the sense that a task within a stage can be processed by any of the machines in the stage. We refer to this design as the hybrid flowshop. Our objective is to schedule a set of n jobs so as to minimize makespan. The problem is NP-complete even in the case of a sin...

in this paper, three-stage assembly flowshop scheduling is considered with respect to minimizing bi-objectives, namely mean flow time and mean tardiness. this problem is a model of production systems, which several production operations are done simultaneously and independently, and then produced components are collected and transferred to an assembly stage for the final operation. in this mode...

In this note, we consider a single machine scheduling problem with generalized total tardiness objective function. A pseudo-polynomial time solution algorithm is proposed for a special case of this problem. Moreover, we present a new graphical algorithm for another special case, which corresponds to the classical problem of minimizing the weighted number of tardy jobs on a single machine. The l...

Alidaee and Ahmadian considered a single machine scheduling problem with varying processing times, and presented a polynomial algorithm that minimizes the sum of absolute deviations of jobs’ completion times from a common due date. In this short note we remark that it is possible to eliminate one of the algorithm steps, therefore obtaining a more efficient procedure. We also show that the appro...

The assembly flowshop scheduling problem has been studied recently due to its applicability in real life scheduling problems. It arises when various fabrication operations are performed concurrently in one stage. It was firstly introduced by Lee et al. (1993) in a flowshop environment. Later, Potts et al. (1995) considered the two-stage assembly flowshop problem with m concurrent operations in ...