When faced with a multiobjective optimization problem, it is necessary to consider the decision-maker preferences in order propose best compromise solution. We flexible job shop scheduling problem and that represented using non-compensatory reference level-based preference model. show how integrating this model into genetic algorithm allows obtain solutions surpass more aspiration levels when c...

Purpose To investigate the efficiency of a discretization procedure utilizing a time-indexed mathematical optimization model for finding accurate solutions to flexible job shop scheduling problems considering objectives comprising makespan and tardiness, respectively. Design/methodology/approach A time-indexed mixed integer programming model is used to find solutions by iteratively employing ti...

To improve the management of collaborative manufacturing tasks in MES and promote digital transformation discrete enterprises, based on has been studied. First, business flow an was analyzed systematically. Second, algorithm detailed scheduling for studied, a model external resources designed. Then, solution presented hybrid genetic algorithm. Finally, execution process promoted integration ERP...

The partially-concurrent open shop scheduling problem is presented. The standard open shop scheduling problem is generalized by allowing some operations to be processed concurrently. This generalization is directly motivated from a real-life timetabling project of assigning technicians to airplanes in an airplane garage. A schedule for the partially-concurrent problem is represented by a digrap...

The combination of multi-functional machines and mobile robots supports the emergence of highly flexible intelligent manufacturing systems (IMS). In this kind of manufacturing system, some machines must stay fixed at previously established positions (heavy equipment) but some types of multi-functional machines (small flexible equipment and mobile robots) can stay in one position for one or seve...

This paper provides an application oriented analysis of local search procedures for Operation Scheduling and Shop Floor Management of a major German manufacturer of cigarette machines. The heuristics applied are the Thresholdand Simulated Annealing-Algorithm considering Job Shop as well as embedded FMS production features. In this context a new neighbourhood search technique is developed, which...

this research, for the first time presents the flexible flow shop model of scheduling method for considering runway assignment and operations planning together. one of the advantages of the developed model is considering the procedures of air routes in terminal airspace and separation between consecutive aircraft which is very similar to the real world condition. there are different objective f...

Only two branch-and-bound methods have been published so far for the Open-Shop problem. The best one has been proposed by Brucker et al. But some square problems from size 7 are still unsolved by it. We present an improving technique for branch-and-bound methods applied to Brucker et al. algorithm for Open-Shop problems. Our technique is based on intelligent backtracking. Intelligent backtracki...