This paper presents a multi objective geometric programming model which determines the product`s selling price in two markets. We assume demand is a function of price and marketing expenditure in two markets. The cost of production is also assumed to be a function of demands in both markets. Our model is a posynomial function which is solved using Geometric Programming (GP). In our GP implement...

The concept of fetal programming, also known as developmental programming, was first hypothesized using human epidemiological data in which environmental stimulus in utero resulted in altered long term development, growth, and disease susceptibility in children from undernourished mothers during the Dutch famine (Barker et al., 1993). Recently, literature regarding the effects of fetal programm...

Data Envelopment Analysis (DEA) is the methodology for evaluating the relative productive efficiency of decision making units (DMUs) that produce multiple-outputs using multiple-inputs. DEA was proposed for the first time in 1957 by Farrell; nonetheless, the wide usage of this method begun with its generalization and the linear programming formulation which is due to Charnes et al. (1978) (for ...

Simultaneous production planning and scheduling has been identified as one of the most important factors that affect the efficient implementation of planning and scheduling operations for the production systems. In this paper, simultaneous production planning and scheduling is applied in a hybrid flow shop environment, which has numerous applications in real industrial settings. In this problem...

The Trading Agent Competition (TAC) Supply Chain Management (SCM) game presents trading agents with several difficult scheduling decisions. Each agent must decide how to build and deliver goods across multiple time periods in the presence of uncertain information about the environment. Stochastic programming (SP) is suggested as a natural, adaptable, and robust solution to scheduling in stochas...

In this chapter, a new ADP algorithm integrating (1) systematic basis function construction, (2) a linear programming (LP) approach in DP, (3) adaptive basis function selection and (4) bootstrapping, is developed and applied to oil production problems. The procedure requires the solution of a large-scale dynamic system, which is accomplished using a subsurface flow simulator, for function evalu...

In this paper, we are discussing a research project aiming to optimize the scheduling of production orders within real application in packaging field. As first approach, model problem as an extended version hybrid and flexible flowshop with precedence constraints, parallel machines, sequence-dependent setups. The optimization objective considered is minimization total tardiness. To tackle probl...

In last decades, mobile factories have been used due to their high production capability, carrying their equipment and covering rough and uneven routes. Nowadays, more companies use mobile factories with the aim of reducing the transportation and manufacturing costs. The mobile factory must travel between the suppliers, visit all of them in each time period and return to the initial location of...