No abstract

Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decisionmakers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution network design problem considering carbon emissions policies among the first studies in this area by a novel hybrid whale optimization algorithm. Accordingly, a mixed integer non-linear programming model has been developed. To tackle the proposed problem, a new hybrid metaheuristic based on whale optimization algorithm and simulated annealing as a successful optimizer is employed to solve the proposed problem. The calibration of the algorithms has been designed by Taguchi method, comprehensively. Finally, an extensive analysis has been evaluated through a comparative study along with some assessment metrics of Pareto solutions.

Today, the design factors of manufacturing systems are still an active research topic and the predictive models are highly interested by the scholars. Design and manufacturing costs are some of the key issues for determining the competitive product in the global market. During current research a guideline to estimate mechanical cost of developing and manufacturing processes presented. The anticipated equation embeds both engineering factors and cost management contributors that could be applied to estimate, predict, control, and reduce costs. Applicable cost factors have been determined by designers using any suitable method for weighing and ranking in the related industries. The cost design model has been established by comparing the target cost of design and design real cost. The target cost of design should be experimentally nominated based on the product’s cost and profit in the context. The manufacturing cost-based design cost forecasting model then validated using an effective fuzzy statistical method. The proposed model creates economical manufacturing of an affordable design in line with the design capability for manufacturing in terms of cost & price.