Study of mixed integer programming models for the concrete delivery problem

Objectives and Methods of Study: The main objective of this research is the study of Mixed Integer Programming (MIP) formulations for the Concrete Delivery Problem (CDP). Contributions and Conclusions: The main contribution of this thesis is two new compact MIP models. These formulations, based on a graph representation, reduce the number of used variables and restrictions involved in the problem and allow us to solve to optimality more instances than the mathematical models that have been presented in the literature for this proble

Development of the Simulation Model for Ready Mixed Concrete Supply Chain Cost Structure

Supply of Ready Mixed Concrete (RMC) is a common process of concrete works on any structure. There is often a need to supply one or more construction sites simultaneously from multiple concrete plants. This paper presents a new simulation model of RMC supply and delivery from three concrete plants to three construction sites. The model is dynamic, easily managed, and adjustable and it allows proper estimation of the cost and time required to solve the problem of RMC supply. Model verification was performed using a case study of concrete supply to construction sites in the city of Niš, Serbia. The case study is based on real parameters obtained from specific concrete plants and construction sites. The results of the simulation experiment with varying number of mixers indicate that there is a significant influence of vehicle number and volume on idling costs. Based on the model analysis in the case study, scenario 10 (minimum total idling cost is 14,09 €) is recommended as the optimal combination of truck mixers for the considered case study. The simulation results indicate that the selection of an adequate combination can significantly reduce the costs of idling, for both the mixer and the pump, which leads to minimal idling time and, consequently, to timely pouring of concrete without reducing its quality

An Innovative of Simul Model for Ready-Mix Concretes in The Concept of Third Party Logistics and Supply Chain Management in Malaysia and Thailand

The research discusses on issues in an order fulfilment for sustainable ready-mix concrete as desired for an eco-friendly choice of integration in the concept of third-party logistics and supply chain management. There are insufficient and inappropriate means in concrete industry which has contributed to un-environmentally friendly especially in Malaysia and Thailand. The supply management and logistics are the factors in designing of product which influence on the environmental, safety and health. It also involves on costs of energy, effectiveness, economic certainty, businesses and other related issues. Through the current practices with relevant factors, the analysis of model is no longer realistic. The sustainable of simulation in logistics model should relate to descriptive approaches. Through the less numbers of movements and reduction on carbon dioxide are significant for the simulation. In some developing countries, the involvements of commercial players and government bodies have their responsibility in controlling, simulating economic and business development. Relation to this fundamental deficiency, this paper utilized SIMUL model in the logistics for sustainable ready mixed concrete, eco-friendly and to meet on the order fulfilments. The result clearly indicates that the eco-friendly SIMUL model can be more sustainable, cost efficient and time effective in fulfilling orders for the operational of ready-mix concrete in future

Optimización de la producción y despacho de hormigón para una empresa en Santiago de Chile

En este trabajo proponemos un enfoque basados en modelos de optimización para resolver los problemas de programación de la producción, despacho y transporte en la Región Metropolitana de Santiago (Chile) para una de las mayores empresas en el rubro en país.Sociedad Argentina de Informática e Investigación Operativ

Optimización de la producción y despacho de hormigón para una empresa en Santiago de Chile

En este trabajo proponemos un enfoque basados en modelos de optimización para resolver los problemas de programación de la producción, despacho y transporte en la Región Metropolitana de Santiago (Chile) para una de las mayores empresas en el rubro en país.Sociedad Argentina de Informática e Investigación Operativ

Optimización de la producción y despacho de hormigón para una empresa en Santiago de Chile

En este trabajo proponemos un enfoque basados en modelos de optimización para resolver los problemas de programación de la producción, despacho y transporte en la Región Metropolitana de Santiago (Chile) para una de las mayores empresas en el rubro en país.Sociedad Argentina de Informática e Investigación Operativ

Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete

The coordination of just-in-time production and transportation in a network of partially independent facilities to guarantee timely delivery to distributed customers is one of the most challenging aspects of supply chain management. From the theoretical perspective, the timely production/distribution can be viewed as a hybrid combination of planning, scheduling and routing problem, each notoriously affected by nearly prohibitive combinatorial complexity. From a practical viewpoint, the problem calls for a trade-off between risks and profits. This paper focuses on the ready-made concrete delivery: in addition to the mentioned complexity, strict time-constraints forbid both earliness and lateness of the supply. After developing a detailed model of the considered problem, we propose a novel meta-heuristic approach based on a hybrid genetic algorithm combined with constructive heuristics. A detailed case study derived from industrial data is used to illustrate the potential of the proposed approach