Typical manufacturing scheduling algorithms do not consider the energy consumption of each job, or its variance, when they generate a production schedule. This can become problematic for manufacturers when local infrastructure has limited energy distribution capabilities. In this paper, a genetic algorithm based schedule modification algorithm is presented. By referencing energy consumption mod...

Abstract Every manufacturing sector that must attain maximum output with minimum input of resources will result in high marginal profit needs to pay more attention planning. Production planning enhanced the coordination production flow, thereby eliminating any constraint may cause disruption line, hence highly demanded organizational management. This paper revealed impact a sector. The main obj...

In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with industrial characteristics with the objective of studying scheduling problems in these types of manufacturing systems (single machine scheduling...

With the aid of the powerful computational ability and software tools, we undergo rapid change in a whole product manufacturing process. In a traditional way, it took long time and cost to build real manufacturing line. The behind time change for the manufacturing process ends up with supplementing large amount of budget. Therefore early detecting the errors on manufacturing process saves quite...

analyzing the vortex-induced vibration of a slender marine structure withlength to diameter ratio up to 200 is the objective of this study. this slender is free to move in both in-line and cross flow directions and immersed completely in water. three different types of shear currents pass on it and cause to vibrate slender in different forms. nowadays, these vibrations are very important for de...

In this paper we present a novel approach to modelling a manufacturing process that allows one to learn about causal mechanisms of manufacturing defects through a Process Modelling and Executable Bayesian Network (PMEBN). The method combines probabilistic reasoning with time dependent parameters which are of crucial interest to quality control in manufacturing environments. We demonstrate the c...

Purpose: This study aimed at implementing lean six sigma to evaluate the productivity and manufacturing waste in production line of a paper companyMethodology/Approach: The is case nature. method illustrates how (LSS) used existing process company with focus on waste. considered real-time problem customer’s dissatisfaction. gathered data based machine functionality (up time, down time cycle tim...