The objective of this research is to study plant layout of NCRM (Narrow cold rolling mill division) of Bhushan steels Ltd. Mumbai based on the systematic layout planning pattern theory (SLP) for increased productivity. In this case study, amount of equipments and tools in rolling coil production are studied. The detailed study of the plant layout such as operation process chart, flow of materia...

Based on the total production process of iron and steel plant, and with the general design requirements for the major operating units, the major operating sites’ overall layout relationship of the iron and steel plant is determined. Based on the production workshops, auxiliary plants, power plants, transportation facilities, the functions of departments, subsidiary production and living service...

The performance of a supply chain should usually be measured by multiple criteria. We address production, distribution and capacity planning of global supply chains considering cost, responsiveness and customer service level simultaneously. A multiobjective mixed-integer linear programming (MILP) approach is developed with total cost, total flow time and total lost sales as key objectives. Also...

A memetic algorithm for tackling multiobjective optimization problems is presented. The algorithm employs the proven local search strategy used in the Pareto archived evolution strategy (PAES) and combines it with the use of a population and recombination. Verification of the new algorithm is carried out by testing it on a set of multiobjective 0/1 knapsack problems. On each problem instance, c...

Most algorithms developed for scheduling applications on global Grids focus on a single Quality of Service (QoS) parameter such as execution time, cost or total data transmission time. However, if we consider more than one QoS parameter (e.g. execution cost and time, which may be in conflict) then the problem becomes more challenging. To handle such scenarios, it is convenient to use heuristics...

In this paper a comparison of the most recent algorithms for Multiobjective Optimization is realized. For this comparison are used the followings algorithms: Strength Pareto Evolutionary Algorithm (SPEA), Pareto Archived Evolution Strategy (PAES), Nondominated Sorting Genetic Algorithm (NSGA II), Adaptive Pareto Algorithm (APA). The comparison is made by using five test functions.

one of the issues of reducing waste and therefore increasing productivity in manufacturing enterprises is to endow with smooth and good production layout. thus, identification and assessment of the factors hindering the realization of the expected productivity of the production flow layout is the important. one of these factors is waste; organizations can make layouts and production stream prod...

Very often real world applications have several multiple conflicting objectives. Recently there has been a growing interest in evolutionary multiobjective optimization algorithms which combines two major disciplines: evolutionary computation and the theoretical frameworks of multicriteria decision making. In this introductory chapter, we define some fundemental concepts of multiobjective optimi...