Scheduling method for tire building based on heuristic algorithm

Abstract

The tire production includes rubber mixing, semi-finished production, cutting, forming, and vulcanization. Various semi-finished products are assembled into the tire embryo at the tire building stage. The tire building is the key process in the tire production, which connects the semi-finished production and the vulcanization production. The optimal scheduling of tire building has important significance to increase production efficiency and balance equipment utilization. Nowadays, tire enterprises have developed rapidly. Some research has been made on the research into the tire production scheduling. Literatures [1-2] study the problem which is to find a feasible assignment of tires to molds and molds to heaters to achieve a maximum total priority at Bridgestone/Firestone Off-The-Road. The core algorithm is a column generation procedure to produce a production schedule for one work shift. Literature [3] presents a flexible manufacturing system which combines various departments based on production management system. Literature [4] discusses on how to satisfy the demand of delivery with the smallest cost by using mathematical model building method, and makes detailed and deep analysis on how to arrange the production scheme with the smallest consumption of time. The Literature points out that transforming the problem of obtaining the smallest cost in tire production into the smallest consumption of production time and thus make rational arrangement of production scheme can make the tire production expenditure be the smallest and achieve the goal of reducing production cost. Literature [5] presents a structure of the distributed scheduling system in the hybrid production process of rubber type. The Client/Server model is introduced to implement this structure. Literature [6] describes the hardware structure, software design and communication system architecture of real-time data monitoring system, and proposes the solution. Literature [7] emphatically introduces the design, structure and functions of MES, the flow of the software and the structure of the database for tire building and vulcanization processes, especially the application in practice. The system increased tire production and decreased time out of step effectively, vertically coordinates Abstract: There are more product specifications, great production and much equipment over the whole process of tire building. The actual complex scheduling problem of tire building is described in detail. To solve the complex multi-objective, large-scale production scheduling problem of tire building, a heuristic algorithm is proposed from the experience of the experts. The algorithm was tested by online data. Results show that the heuristic algorithm can quickly workout the optimal production scheduling of tire building, reduce the production cost, and improve productivity. The algorithm will lay the firm groundwork for application to production process in the future.

Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems

“…UPMSPs are employed in various applications, such as various manufacturing industries, including food processing plants, and car factories [10], semiconductor [11,12], tobacco [13], textile [14], petroleum [15], and tire [16]. Additionally, they have been applied in multiprocessor computer [17][18][19], for multithreading [20], in hospital operating rooms [21], human resources management [22], mail facilities [23], printing [24], pharmacy automation [25], vehicular networks [26], and heterogeneous systems that include GPU and CPU [27].…”

A hybrid optimization procedure for solving a tire curing scheduling problem

“…Mukhopadhyay and Shanker [2005] and Karabıçak et al [2017] study the implementation in the production line of a tire manufacturer of the Kanban and Kaizen systems, respectively. Yu et al [2011Yu et al [ , 2012Yu et al [ , 2013 provide heuristic procedures and simulation analysis for tire curing scheduling problems under particular specifications. Arslankaya and C ¸alık [2016] study the production process of trial tires by means of simulation tech-niques aiming to improve the productivity of a tire manufacturer.…”