scholarly journals A Mathematical Model for Tool Sharing between Workers by Exact Solution Approach

2021 ◽  
pp. 132-137
Author(s):  
Ashish Yadav ◽  
Keyword(s):  
Mathematical Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Exact Algorithm ◽  
System Configuration ◽  
Assembly Lines ◽  
Line System ◽  
Solution Approach ◽  
Assembly Line Balancing Problem ◽  
Tool Cost

Multi-manned assembly lines are generally used to produce large-sized volume products such as cars and trucks. This article addresses the multi-manned two sided assembly line balancing problem with the objectives sharing tool between workstations. This paper presents a mathematical model and a Lingo -16 solvers based exact algorithm for multi-manned two-sided assembly line system configuration with tool sharing between adjacent workstations for companies that need intelligent solutions to satisfy customized demands on time with existing resources. The results obtained indicate that tool shared between parallel stations of two or more parallel lines beneficial for assembly line to minimize workstations, idle time and reduce tool cost.

Balancing of parallel U-shaped assembly lines with a heuristic algorithm based on bidirectional priority values

2021 ◽  
pp. 1063293X2110655
Author(s):  
Yuling Jiao ◽  
Xue Deng ◽  
Mingjuan Li ◽  
Xiaocui Xing ◽  
Binjie Xu
Keyword(s):  
Mathematical Model ◽  
Heuristic Algorithm ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Assembly Lines ◽  
Line System ◽  
Assembly Line Balancing Problem ◽  
The Mathematical Model ◽  
Better Than

Aiming at improving assembly line efficiency and flexibility, a balancing method of parallel U-shaped assembly line system is proposed. Based on the improved product priority diagram, the bidirectional priority value formula is obtained. Then, assembly lines are partitioned into z-q partitions and workstations are defined. After that, the mathematical model of the parallel U-shaped assembly line balancing problem is established. A heuristic algorithm based on bidirectional priority values is used to solve explanatory examples and test examples. It can be seen from the results and the effect indicators of the assembly line balancing problem that the heuristic algorithm is suitable for large balancing problems. The proposed method has higher calculation accuracy and shorter calculation time. The balancing effect of the parallel U-shaped assembly line is better than that of single U-shaped assembly line, which verifies the superiority of the parallel U-type assembly line and effectiveness of the proposed method. It provides a theoretical and practical reference for parallel U-type assembly line balancing problem.

Multi-manned assembly line balancing problem with balanced load density

2015 ◽  
Vol 35 (1) ◽  
pp. 137-142 ◽  
Author(s):  
Hamid Yilmaz ◽  
Mustafa Yilmaz
Keyword(s):  
Mathematical Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Assembly Lines ◽  
Content Type ◽  
Task Load ◽  
Balance Task ◽  
Assembly Line Balancing Problem ◽  
First Time

Purpose – The purpose of this paper is balancing multi-manned assembly lines with load-balancing constraints in addition to conventional ones Most research works about the multi-manned assembly line balancing problems are focused on the conventional industrial measures that minimize total number of workers, number of multi-manned workstations or both. Design/methodology/approach – This paper provides a remedial constraint for the model to balance task load density for each worker in workstations. Findings – Comparisons between the proposed mathematical model and the existing multi-manned mathematical model show a quite promising better task load density performance for the proposed approach. Originality/value – In this paper, a mathematical model that combines the minimization of multi-manned stations, worker numbers and difference of task load density of workers is proposed for the first time.

scholarly journals Bucket Brigades to Increase Productivity in a Luxury Assembly Line

10.5772/56837 ◽  
2013 ◽  
Vol 5 ◽  
pp. 28 ◽  
Author(s):  
Filippo De Carlo ◽  
Orlando Borgia ◽  
Mario Tucci
Keyword(s):  
Assembly Line ◽  
Assembly Line Balancing ◽  
Assembly Lines ◽  
Manual Assembly ◽  
Increase Productivity ◽  
Assembly Line Balancing Problem ◽  
High Level ◽  
Simple Assembly ◽  
A Company ◽  
Bucket Brigades

One of the most challenging issues in manual assembly lines is to achieve the best balance of workloads. There are many analytic approaches to solve this problem, but they are often neglected, since they are time-consuming and require high level engineering skills. Fashion bags packaging lines must comply with a number of different products with low production volumes, while the organization of the line is often under the mere responsibility of the foreman, who balances workloads in an empirical way. The aim of this work is to evaluate the effectiveness of the arrangement of bucket brigades (BBs) for an assembly line of luxury handbags. To do this, it was decided to perform a testing activity in a company producing fashion handbags in order to compare the self-made design with the BBs and with a simple assembly line balancing problem algorithm. The originality of this research lies in the fact that there are no studies in the literature on BBs applied to the packaging of highly variable small batches. The results were excellent, showing the advantages of BBs in terms of flexibility, the reduction of work in the process and the ability to handle small anomalies.

Study on Aircraft Assembly Line Balancing Problem Based on Mobile Workers

2016 ◽  
Author(s):  
Jie Zhang ◽  
Bo Xin ◽  
Pan Wang
Keyword(s):  
Assembly Line ◽  
Particle Swarm ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Stability And Convergence ◽  
Particle Swarm Algorithm ◽  
Binary Particle Swarm Optimization ◽  
Assembly Lines ◽  
Aircraft Assembly ◽  
Assembly Line Balancing Problem

In order to improve the balance and load equilibrium of aircraft assembly lines, and to enhance the management of on-site resources, a Type-E balancing method was proposed based on the mobile operation of assembly personnel in the aircraft assembly line. This method was aimed to minimize the smoothness index of the overall assembly line and each assembly station, and also to minimize manpower costs. First, a model of personnel flow and an assembly line balancing model were constructed based on the characteristics of aircraft assembly lines. Next, an Accelerated Binary Particle Swarm Optimization (ABPSO) based on improved sig function was designed in order to improve the original stability and convergence of the standard binary particle swarm algorithm. Finally, the validity of the method was verified with a real fuselage assembly line and the results show the effectiveness.

Two-Sided Assembly Line Balancing Optimization With Spider Monkey Optimization

2020 ◽  
pp. 19-40
Author(s):  
Ashish Yadav ◽  
Sunil Agrawal
Keyword(s):  
Mathematical Model ◽  
Manufacturing Systems ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Spider Monkey ◽  
Line Balancing ◽  
Benchmark Problems ◽  
Spider Monkey Optimization ◽  
Assembly Line Balancing Problem ◽  
Smo Algorithm

Growing interests from customers in customized products and increasing competition among peers necessitate companies to configure and balance their manufacturing systems more effectively than ever before. Two-sided assembly lines are usually constructed to produce large-sized high-volume products such as buses, trucks, automobiles, and some domestic products. Since the problem is well known as NP-hard problem, a mathematical model is solved by an exact solution-based approach and spider monkey optimization (SMO) algorithm that is inspired by the intelligent foraging behavior of fission-fusion social structure-based animals. In this chapter, the proposed mathematical model is applied to solve benchmark problems of two-sided assembly line balancing problem to minimize the number of mated stations and idle time. The experimental results show that spider monkey optimizations provide better results.

Sign in / Sign up

Export Citation Format

Share Document