Job shop scheduling problems occurs in automobile industry, aerospace industry, printing industry, and chemical industry. Job shop scheduling problems are real world and complex. The present work assesses the effect of change in setup times levels on make span, maximum flow time and maximum tardiness measures. The model of the job shop is developed in PROMODEL simulation software. Three levels ...

This paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. First, the problem is formulated as a mixed integer linear programming model. Then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. Two experiments are carried out to evaluate th...

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 task of job shop scheduling – determining the sequence and timing of jobs on available resources – is one of the most discussed practical problems in operations management. There are many appropriate problem definitions for job shop scheduling due to the complex and dynamic nature of the problem with a large number of variables and constraints linked to jobs and resources, such as specific ...

This paper addresses the single-machine scheduling problem with learning effects and exponential past-sequence-dependent delivery times. The objective is to determine an optimal job schedule such that total weighted completion time maximum tardiness are minimized. To solve general case of problem, we propose heuristic, simulated annealing branch-and-bound algorithms. computational experiment al...

This paper considers a single machine scheduling problem with several mainte-nances periods. Specically, two situations are investigated. In the rst one, maintenance periods are periodically xed: maintenance is required after a periodic time interval. In the second one, the maintenance is not xed but the maximum continuous working time of the machine which is allowed is determined. The objectiv...

The scheduling problem we consider is often faced by manufacturers who make time-sensitive products such as fashion apparel and toys, which typically have large product types and sell only during specific seasons. Consider the production and distribution scheduling decisions such a manufacturer needs to make. The customers (e.g. distributors or retailers) often set due dates on the orders they ...

We consider a single-machine scheduling problem with equal-sized jobs. The objective is to minimize the maximum weighted earliness-tardiness and due-date costs. We present an algorithm to solve this problem. Our algorithm makes use of bottleneck jobs and priority queues, and has a computational complexity of O(n logn). This complexity is a significant improvement of the existing algorithm in th...

We propose a general approach for nding minmax regret solutions for a class of combinatorial optimization problems with an objective function of minimax type and uncertain objective function coe cients. The approach is based on reducing a problem with uncertainty to a number of problems without uncertainty. The method is illustrated on bottleneck combinatorial optimization problems, minimax mul...