An Approach to Integrate Product and Process Design Using Augmented Liaison Diagram, Assembly Sequencing, and Assembly Line Balancing

2021 ◽  
pp. 1-24
Author(s):  
Shun Takai

Abstract Concurrent engineering is a product development approach in which engineers simultaneously design products and processes to improve customer satisfaction, enhance product quality, and reduce product costs. While various design methodologies have been proposed to support concurrent engineering, development of a systematic methodology that comprehensively integrates product and process design is still an ongoing research need. Traditional DFA has been extended to concurrently design subassemblies and assembly sequences; however, the optimum assembly sequence depends on the efficiency of the assembly line and how assembly tasks are assigned to workstations without causing extensive idle time. This study extends past approaches in the concurrent design of products and processes by integrating assembly line balancing, assembly line design, and sensitivity analysis of assembly line design in addition to assembly line sequencing. In particular, this study proposes an approach to simultaneously designing products and processes by integrating 1) a liaison diagram augmented with additional information on the type of liaisons (e.g., screw fixing, snap fitting, or contacting) to find stable subassemblies and corresponding assembly tasks, 2) assembly sequencing to generate all feasible assembly sequences that satisfy requirements for stable subassembly, 3) assembly line balancing to identify all possible assignments of tasks to workstations and to find corresponding cycle times and utilization, 4) assembly line designs that include the types and number of assembly lines for each product design, and 5) sensitivity analysis to evaluate the robustness of the assembly line design.

2019 ◽  
Vol 37 (2) ◽  
pp. 638-663
Author(s):  
Mohd Fadzil Faisae Ab. Rashid ◽  
Ahmad Nasser Mohd Rose ◽  
Nik Mohd Zuki Nik Mohamed ◽  
Fadhlur Rahman Mohd Romlay

Purpose This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assembly line. For the first time in ALB, the power cost is modeled together with the equipment, set up and labor costs. Design/methodology/approach I-MFO was proposed by introducing a global reference flame mechanism to guide the global search direction. A set of benchmark problems was used to test the I-MFO performance. Apart from the benchmark problems, a case study from a body shop assembly was also presented. Findings The computational experiment indicated that the I-MFO obtained promising results compared to comparison algorithms, which included the particle swarm optimization, Cuckoo Search and ant colony optimization. Meanwhile, the results from the case study showed that the proposed cost-oriented 2S-ALB model was able to assist the manufacturer in making better decisions for different planning periods. Originality/value The main contribution of this work is the global reference flame mechanism for MFO algorithm. Furthermore, this research introduced a new cost-oriented model that considered power consumption in the assembly line design.


2017 ◽  
Vol 37 (1) ◽  
pp. 135-143 ◽  
Author(s):  
Amir Nourmohammadi ◽  
Hamidreza Eskandari

Purpose This paper aims to optimize the configuration of assembly lines (ALs) considering the two long-term decision problems within the line balancing and part feeding (PF) contexts, when the supermarket concept is applied in PF. Design/methodology/approach To this purpose, a bi-level mathematical model is proposed to deal with the assembly line balancing problem (ALBP) and supermarket location problem (SLP) during the strategic decision-making phase of ALs’ configuration. The proposed model is applied on the known test problems taken from the ALBP literature to verify its performance. Findings The computational results verify that when the proposed structure is applied, the resulting AL configurations are optimized from both ALBP and SLP considerations in terms of the number of stations and line efficiency as well as supermarket transportation and installation costs. Originality/value No study has yet dealt with the long-term decision problem of configuring ALs considering both ALBP and SLP. Also, this study validates the effect of the ALBP on the SLP solutions as two long-term interrelated decision problems.


2013 ◽  
Vol 748 ◽  
pp. 1183-1187
Author(s):  
Ali A.J. Adham ◽  
Hamzah Bin Zainuddin ◽  
Fadilah Binti Siali ◽  
Noor Azlinna Binti Azizan

Assembly line design is an important part of the production system in manufacturing processes. An assembly line, which consists of a sequence of workstations, is an efficient method of manufacturing high-volume products such as automobile parts and microcomputers. In designing an assembly line, it is common practice to "balance" the line so that a more uniform flow is maintained. The Assembly Line Balancing (ALB) scheduler evaluates the effect of the different online sequence of parts on production cycle, balances workload and utilization ratio, minimizes span of the assembly line. The simulation model approach in this study to obtain the scenarios which are reducing the unbalancing time. The simulator presented herein, named Assembly Line Simulator (ALS), can be used as supporting tool in finding solutions of the assembly line balancing problem. Throughout the scenarios of the optimum method will be chosen which scenario is represented minimum idle time it will be the optimum balance of the assembly line.


2021 ◽  
Author(s):  
Giovanni Boschetti ◽  
Maurizio Faccio ◽  
Mattia Milanese ◽  
Riccardo Minto

Abstract Collaborative robots can be a proper solution to improve the throughput of manual systems without reducing their flexibility. To effectively use cobots in productive systems it is fundamental to develop a suitable task allocation model that considers collaboration. Hence, we present a model for collaborative assembly line balancing (C-ALB) which considers paralleling tasks and collaboration in the balancing resolution. Indexes that take into account both the product and process characteristics are defined to evaluate the quality of the proposed task allocation model and comparing it to others. The results confirm the influence of the product characteristics on the system performance, leading to the definition of a new paradigm for product design.


2021 ◽  
Vol 158 (A2) ◽  
Author(s):  
M Ozkok ◽  
M K Kasikci ◽  
I H Helvacioglu

Recently, the competitive environment is very tough in shipbuilding industry and under these circumstances, manufacturing a ship in a shorter time becomes significantly important in order to meet the customer demands. Therefore, it is hard to do that by using traditional manufacturing techniques. The shipyards located in Turkey usually have functional locations for the machines and this situation often causes longer production times. Instead of this, assembly lines should be redesigned as workshops in the shipyard. Prefabrication work unit is a good example in which an assembly line is needed to be designed. In this study, an assembly line design for prefabrication work unit was performed. For this, assignments of work operations to work shops were carried out by using Largest Set Rule Algorithm and some alternatives were created according to compare the different values of cycle time. These alternatives were simulated by using a production simulation program and the most appropriate assembly line design was presented.


Author(s):  
Giovanni Boschetti ◽  
Maurizio Faccio ◽  
Mattia Milanese ◽  
Riccardo Minto

AbstractCollaborative robots can be a proper solution to improve the throughput of manual systems without reducing their flexibility. To effectively use cobots in productive systems, it is fundamental to develop a suitable task allocation model that considers collaboration. Hence, we present a model for collaborative assembly line balancing (C-ALB) which considers paralleling tasks and collaboration in the balancing resolution. Indexes that take into account both the product and process characteristics are defined to evaluate the quality of the proposed task allocation model and comparing it to others. The results confirm the influence of the product characteristics on the system performance, leading to the definition of a new paradigm for product design.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yong Cao ◽  
Yuan Li ◽  
Qinghua Liu ◽  
Jie Zhang

With the drastic change in the market, the assembly line is susceptible to some uncertainties. This study introduces the uncertain cycle time to the assembly line balancing problem (ALBP) and explores its impact. Firstly, we improve the traditional precedence graph to express the precedence, spatial, and incompatible constraints between assembly tasks, which makes ALBP more realistic. Secondly, we establish the assembly line balancing model under an uncertain cycle time, which is defined as an interval whose size can be adjusted according to the level of uncertainty. The objective of the model was to minimize the number of stations and the cycle time. Thirdly, we integrate the operator’s skill level into the model, and a multipopulation genetic algorithm is used to solve it. The method proposed in this study is verified by several test problems of different sizes. The results show that when the cycle time is uncertain, the proposed method can be used to obtain more reasonable results.


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