This paper considers a two-stage assembly flow shop problem (TAFSP) where m machines are in the first stage and an assembly machine is in the second stage. The objective is to minimize a weighted sum of earliness and tardiness time for n available jobs. JIT seeks to identify and eliminate waste components including over production, waiting time, transportation, inventory, movement and defective...

In a production environment, scheduling decides job and machine allocations the operation sequence. shop system, wide variety of jobs, complex routes, real-life events becomes challenging for activities. New, unexpected disrupt schedule require dynamic updates to on an event-based basis. To solve problem, we propose multi-agent system with reinforcement learning aimed at minimization tardiness ...

The parallel machine scheduling problem is an important and difficult problem to be considered in the real-world situations. Traditionally, this problem consists of the scheduling of a set of independent jobs on parallel machines with the aim of minimizing the maximum job completion. In today's manufacturing systems, in which both early and tardy finishing of job processing are undesired, the o...

This study investigates the single-machine scheduling problem with common due-win -dow assignment, past-sequence-dependent (p-s-d) setup times and a deteriorating maintenance activity. By past-sequence-dependent setup times, we mean that the setup time of a job is proportional to the sum of the processing times of the jobs already processed. The objective is to minimize a cost function based on...

We present a new mathematical model for a permutation flowshop scheduling problem with sequence-dependent setup times considering minimization of two objectives, namely makespan and weighted mean total earliness/tardiness. Only small-sized problems with up to 20 jobs can be solved by the proposed integer programming approach. Thus, an effective multi-objective immune system (MOIS) is specially ...

This paper addresses the single machine scheduling problem with a common due date aiming to minimize earliness and tardiness penalties. Due to its complexity, most of the previous studies in the literature deal with this problem using heuristics and metaheuristics approaches. With the intention of contributing to the study of this problem, a branch-and-bound algorithm is proposed. Lower bounds ...