workflow models to dynamically formulate the scheduling problem. To attain scalability, we develop a solution algorithm to … workflows that can meet order requirements based on multi-agent systems (MAS). Configuring and scheduling collaborative … solve the optimization problem by a collaborative and distributed computation scheme. We implement a software system based …

The objective in traditional scheduling is usually time based. Minimizing the makespan, total flow times, total tardi …: maximization of average and minimum available cash. For single machine scheduling, it is demonstrated that scheduling jobs in … decreasing order of profit ratios maximizes the former and improves productivity. Moreover, scheduling jobs in increasing order …

points of the supply chain, which in turn can result in possible reduction of inventory. In this paper an optimization model …

Purpose: The purpose of this research is to develop an optimization model of CNC turning process. The objective … function of the model is to minimize processing time and carbon emission. We implemented the results of optimization with real … optimization involving two objective functions, namely processing time which includes cutting time and auxiliary time and carbon …

policies are obtained using an algorithm based on bi-level programming. Numerical examples, including sensitivity analysis of …

optimization of the production process was based on lean tools like value stream mapping, process cycle efficiency, Kaizen, 5S and …

derived. An algorithm is suggested to derive the optimal values of the number of shipments, the lot-size, the percentage of …

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 …