A space allocation algorithm for assembly line components
نویسندگان
چکیده
A component stockout during the assembly process is one of the most undesirable events that can occur since the resulting line stoppage is associated with extremely high costs. In this paper we address the problem of allocating space to components along the line, subject to practical constraints. The objective is to maximize the line fill-rate; namely, the probability of no line stoppages due to a lack of components between consecutive replenishments. A model for calculating the line fill-rate is presented. This model is then incorporated into a design algorithm that determines the space allocation. A large experiment for moderate-sized and large-scale problems is performed to evaluate the algorithm performance. Our experiment indicates this performance to be excellent, producing optimal solutions on moderate-sized problems in most cases and solutions that are better than three intuitive rules for most of the large-scale problems considered.
منابع مشابه
The Comparison of Imperialist Competitive Algorithm Applied and Genetic Algorithm for Machining Allocation of Clutch Assembly (TECHNICAL NOTE)
The allocation of design tolerances between the components of a mechanical assembly and manufacturing tolerances can significantly affect the functionality of products and related production costs. This paper introduces Imperialist Competitive Algorithm (ICA) approach to solve the machining tolerance allocation of an overrunning clutch assembly. The objective is to obtain optimum tolerances of...
متن کاملA multi-objective genetic algorithm for a mixed-model assembly U-line balancing type-I problem considering human-related issues, training, and learning
Mixed-model assembly lines are increasingly accepted in many industrial environments to meet the growing trend of greater product variability, diversification of customer demands, and shorter life cycles. In this research, a new mathematical model is presented considering balancing a mixed-model U-line and human-related issues, simultaneously. The objective function consists of two separate com...
متن کاملAn Analytical Approach for Single and Mixed-Model Assembly Line Rebalancing and Worker Assignment Problem
In this paper, an analytical approach is used for assembly line rebalancing and worker assignment for single and mixed-model assembly lines based on a heuristic-simulation algorithm. This approach helps to managers to select a better marketing strategy when different combinations of demands are suitable.Furthermore, they can use it as a guideline to know which worker assignment is better for ea...
متن کاملA Multi-Objective Particle Swarm Optimization for Mixed-Model Assembly Line Balancing with Different Skilled Workers
This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...
متن کاملOnline Distribution and Load Balancing Optimization Using the Robin Hood and Johnson Hybrid Algorithm
Proper planning of assembly lines is one of the production managers’ concerns at the tactical level so that it would be possible to use the machine capacity, reduce operating costs and deliver customer orders on time. The lack of an efficient method in balancing assembly line can create threatening problems for manufacturing organizations. The use of assembly line balancing methods cannot balan...
متن کامل