a fuzzy multi-objective linear programming approach for solving a new multi-objective job shop scheduling with sequence-dependent setup times
Authors
abstract
this paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. for solving this multi-objective model, we develop a fuzzy multi-objective linear programming (fmolp) model. in this problem, a proposed fmolp method is applied with respect to the overall acceptable degree of the decision maker (dm) satisfaction. finally, a numerical example demonstrates the feasibility of applying the proposed model to job shop scheduling with set up times problem. the proposed model yields a compromised solution and the decision maker’s overall levels of satisfaction.
similar resources
A fuzzy multi-objective linear programming approach for solving a new multi-objective job shop scheduling with sequence-dependent setup times
This paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. For solving this multi-objective model, we develop a fuzzy multi-objective linear programming (FMOLP) model. In this problem, a proposed FMOLP method is applied with respect to the o...
full textA Fuzzy Multi-Objective Linear Programming Approach for Solving a New Multi-Objective Job Shop Scheduling with Sequence- Dependent Setup Times
This paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequencedependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. For solving this multi-objective model, we develop a fuzzy multi-objective linear programming (FMOLP) model. In this problem, a proposed FMOLP method is applied with respect to the ov...
full textA New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...
full textSolving Flexible Job Shop Scheduling with Multi Objective Approach
In this paper flexible job-shop scheduling problem (FJSP) is studied in the case of optimizing different contradictory objectives consisting of: (1) minimizing makespan, (2) minimizing total workload, and (3) minimizing workload of the most loaded machine. As the problem belongs to the class of NP-Hard problems, a new hybrid genetic algorithm is proposed to obtain a large set of Pareto-optima...
full textA Multi-objective Immune System for a New Bi-objective Permutation Flowshop Problem with Sequence-dependent Setup Times
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 ...
full textMulti-Objective Unrelated Parallel Machines Scheduling with Sequence-Dependent Setup Times and Precedence Constraints
This paper presents a novel, multi-objective model of a parallel machines scheduling problem that minimizes the number of tardy jobs and total completion time of all jobs. In this model, machines are considered as unrelated parallel units with different speeds. In addition, there is some precedence, relating the jobs with non-identical due dates and their ready times. Sequence-dependent setup t...
full textMy Resources
Save resource for easier access later
Journal title:
iranian journal of operations researchجلد ۶، شماره ۱، صفحات ۱-۱۴
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023