On the Potentially Optimal Solutions of Classical Shop Scheduling Problems
نویسنده
چکیده
In this paper, we consider an important class of NP-hard shop scheduling problems, where one of the major tasks is to minimize the makespan objective over the set of all sequences. We study the existence of minimal potentially optimal solution in classical shop scheduling problems. The concept of potentially optimal solution has proven one of the most important and fertile research topics as this solution set contains at least one optimal sequence for arbitrary processing times. Here, the potentially optimal solution of all irreducible sequences is surveyed and a new decomposition approach is presented in this class. The contribution of this paper is a brief survey of the existing results together with few new results. The research results obtained in past several years are presented along with open problems and possible extensions. Varieties of results and examples we analyzed provide useful structural insights and enough motivations for the developments of exact or heuristic algorithms. KeywordsShop scheduling problems, Computational complexity, Counting problem, Potential optimality, Irreducibility, Sequence decomposition ∗ Corresponding author’s email: [email protected]
منابع مشابه
Improved teaching–learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems
Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage contains more than one machine for providing alternate processing facility, then the problem...
متن کاملAn algorithm for multi-objective job shop scheduling problem
Scheduling for job shop is very important in both fields of production management and combinatorial op-timization. However, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. The combination of several optimization criteria induces additional complexity and new problems. In this paper, we pro...
متن کاملMILP Formulation and Genetic Algorithm for Non-permutation Flow Shop Scheduling Problem with Availability Constraints
In this paper, we consider a flow shop scheduling problem with availability constraints (FSSPAC) for the objective of minimizing the makespan. In such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. We proposed a mixed-integer linear programming (MILP) model for this problem which can generate non-permutation schedules. Furthermor...
متن کاملA Tabu Search Method for a New Bi-Objective Open Shop Scheduling Problem by a Fuzzy Multi-Objective Decision Making Approach (RESEARCH NOTE)
This paper proposes a novel, bi-objective mixed-integer mathematical programming for an open shop scheduling problem (OSSP) that minimizes the mean tardiness and the mean completion time. To obtain the efficient (Pareto-optimal) solutions, a fuzzy multi-objective decision making (fuzzy MODM) approach is applied. By the use of this approach, the related auxiliary single objective formulation can...
متن کاملA novel hybrid genetic algorithm to solve the make-to-order sequence-dependent flow-shop scheduling problem
Flow-shop scheduling problem (FSP) deals with the scheduling of a set of n jobs that visit a set of m machines in the same order. As the FSP is NP-hard, there is no efficient algorithm to reach the optimal solution of the problem. To minimize the holding, delay and setup costs of large permutation flow-shop scheduling problems with sequence-dependent setup times on each machine, this pap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006