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...

The just-in-time production philosophy has led to a growing interest in scheduling problems considering both earliness and tardiness penalties. Most publications considering these so-called non-regular objective functions are devoted to single machine problems. In the case of multi-machine problems, there are some papers dealing with parallel machine problems. However, for multi-operation sched...

Cross-enterprise project is the main implementation form in multi enterprises collaborative production environment. Minimizing the risk of failure and tardiness caused by the uncertainty of partner’s resources in partner selection is the key problem to ensure success in Cross-enterprise project. In this paper, considering the factors and constraints of sub-project processing times, precedence o...

This paper proposes a heuristic method based on ant colony optimization to determine the suboptimal allocation of dynamic multi-attribute dispatching rules to maximize job shop system performance (four measures were analyzed: mean flow time, max flow time, mean tardiness, and max tardiness). In order to assure high adequacy of the job shop system representation, modeling is carried out using di...

We consider a multi-period order selection problem in ̄exible manufacturing systems, which is the problem of selecting orders to be produced in each period during the upcoming planning horizon with the objective of minimising earliness and tardiness costs and subcontracting costs. The earliness and tardiness costs are incurred if an order is not ®nished on time, while subcontracting cost is incu...

While it is imperative that all time constraints are met in hard real-time systems, firm or soft real-time systems do not have as stringent timeliness requirements, allowing for some degree of tardiness (soft) or miss ratio (firm). A significant body of research within the soft and firm real-time area has focused on minimizing tardiness and/or miss ratio, but without quantifying acceptable leve...

Distributed arrival time control (DATC) is a highly distributed feedback control algorithm for the scheduling problems in heterarchical operation systems [V.V. Prabhu, Performance of real-time distributed arrival time control in heterarchical manufacturing systems, IIE Transactions 32 (2000) 323–331]. Although DATC has presented outstanding performance for the real-time scheduling problems in d...

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...

The Multi-objective Flexible Job Shop Scheduling (MFJSS) problem, in which the order or processing sequence for a set of jobs through several machines is assigned an optimal patterns have accepted sizeable attentiveness. Different types scheduling rules and procedures certain MFJSS made progress from these endeavors. problem cumbersome to be consistent due different criteria involved. This beca...

In industries machine maintenance is used in order to avoid untimely machine fails as well as to improve production effectiveness. This research regards a permutation flow shop scheduling problem with aging and learning effects considering maintenance process. In this study, it is assumed that each machine may be subject to at most one maintenance activity during the planning horizon. The objec...