The benchmark for the success of a business or product is to measure satisfaction customers who have used felt goods services. customer's expectations function and emotional happiness factors that arise from use services are entirely responsibility producer. So manufacturers need focus on what attributes must be presented in service increase customer satisfaction. decrease interest providing ve...

With the current trend towards cognitive manufacturing systems to deal with unforeseen events and disturbances that constantly demand real-time repair decisions, learning/reasoning skills and interactive capabilities are important functionalities for rescheduling a shop-floor on the fly taking into account several objectives and goal states. In this work, the automatic generation and update thr...

A discrete event simulation model was developed to study the flow of material and product in a shop floor. It uses real time data available from a job shop sole dedicated to noncommercial contracts and as such deals with very seasonal demand. The objective of this model is to provide the shop with a decision support tool that will assist in evaluating the movement of products throughout the sho...

Stated simply, the motivation for activity based travel demand modeling is that travel decisions are activity based. Concerns about congestion, emissions and land use patterns have lead governments to consider policies aimed to aaect travel decisions. Examples of policies include employer based commute programs, single occupant vehicle regulation, road pricing, multimodal facilities and transit...

In this paper, a new approach to overlapping operations in job shop scheduling is presented. In many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a customer. In each job, embedded operations can be performed due to overlapping considerations in which each operation may be overlapped with the other...

Abstract: A Quantum Genetic Based Scheduling Algorithm (QGBSA) for stochastic flow shop scheduling with random breakdown and random repair time is proposed in this paper, which combines stochastic programming and stochastic simulation theory, quantum compute and genetic algorithm together. In the QGBSA, the Q-bit based representation in discrete 0-1 hyperspace is employed, which is then convert...