scholarly journals A cooperative coevolution algorithm for complex hybrid seru-system scheduling optimization

2021 ◽  
Author(s):  
Yuting Wu ◽  
Ling Wang ◽  
Jing-fang Chen
Keyword(s):  
Flow Line ◽  
Business Environment ◽  
Parameter Setting ◽  
Production Lines ◽  
Cooperative Coevolution ◽  
Scheduling Optimization ◽  
Strongly Coupled ◽  
Estimation Of Distribution ◽  
Effectiveness And Efficiency ◽  
Specific Hybrid

AbstractUnder the current volatile business environment, the requirement of flexible production is becoming increasingly urgent. As an innovative production mode, seru-system with reconfigurability can overcome the lack of flexibility in traditional flow lines. Compared with pure seru-system, the hybrid seru-system composed of both serus and production lines is more practical for adapting to many production processes. This paper addresses a specific hybrid seru-system scheduling optimization problem (HSSOP), which includes three strongly coupled sub-problems, i.e., hybrid seru formation, seru scheduling and flow line scheduling. To minimize the makespan of the whole hybrid seru-system, we propose an efficient cooperative coevolution algorithm (CCA). To tackle three sub-problems, specific sub-algorithms are designed based on the characteristic of each sub-problem, i.e., a sub-space exploitation algorithm for hybrid seru formation, an estimation of distribution algorithm for seru scheduling, and a first-arrive-first-process heuristic for flow line scheduling. Since three sub-problems are coupled, a cooperation coevolution mechanism is proposed for the integrated algorithm by information sharing. Moreover, a batch reassign rule is designed to overcome the mismatch of partial solutions during cooperative coevolution. To enhance the exploitation ability, problem-specific local search methods are designed and embedded in the CCA. In addition to the investigation about the effect of parameter setting, extensive computational tests and comparisons are carried out which demonstrate the effectiveness and efficiency of the CCA in solving the HSSOP.

Layout decision system for multiple production lines using work-flow-line and GA

2019 ◽  
Vol 2019.13 (0) ◽  
pp. C26
Author(s):  
Masato NODA ◽  
Hidehiko YAMAMOTO ◽  
Hirohumi TSUJI ◽  
Yasuhisa TERAWA ◽  
Yoshinori NAKAMURA ◽  
...  
Keyword(s):  
Flow Line ◽  
Work Flow ◽  
Production Lines ◽  
Decision System ◽  
Multiple Production

Data Processing with a Genetic Algorithm for Flow Line Processing Scheduling Problem

2014 ◽  
Vol 685 ◽  
pp. 630-633
Author(s):  
Fang Guo He
Keyword(s):  
Genetic Algorithm ◽  
Data Processing ◽  
Flow Line ◽  
Flow Time ◽  
Scheduling Problem ◽  
Computational Results ◽  
Total Flow ◽  
Scheduling Optimization ◽  
Encoding Method ◽  
Working Procedure

The scheduling optimization of the flow line is a core of modern managing technology and Data Processing. The goal of the problem is to minimize the sum of the total flow time. Aiming at machine scheduling of production process, this paper presents a genetic algorithm based heuristic for the problem. An encoding method based working procedure and parthenogenetic operations are applied to solve the flow line scheduling problem. The computational results indicate that the proposed approach is effective in terms of reduced makespan for the attempted problems.

scholarly journals Layout decision system for multiple production lines using work-flow-line and GA

2021 ◽  
Vol 26 ◽  
pp. 223-226
Author(s):  
Masato Noda ◽  
Hidehiko Yamamoto ◽  
Hirohumi Tsuji ◽  
Yasuhisa Terawa ◽  
Yoshinori Nakamura ◽  
...  
Keyword(s):  
Flow Line ◽  
Work Flow ◽  
Production Lines ◽  
Decision System ◽  
Multiple Production

scholarly journals Self - Organizing Teams in Software Development – Myth or Reality

TEM Journal ◽  
2021 ◽  
pp. 1565-1571
Author(s):  
Tarik Zaimovic ◽  
Muharem Kozic ◽  
Amina Efendić ◽  
Amel Džanić
Keyword(s):  
Software Development ◽  
Bosnia And Herzegovina ◽  
Team Performance ◽  
Central Element ◽  
Business Environment ◽  
Team Cohesion ◽  
Individual Member ◽  
Mutual Support ◽  
Effectiveness And Efficiency ◽  
The Way

In an agile business environment, teamwork quality is underlining key element of successful projects and overall team performance. In the Scrum framework, self-managing team is a central element of success. Self-managing teams introduced a new concept of teams and emphasized the importance of individual member effort and the way it affects team performance. The focus of this paper is on teamwork quality in self-managing teams and the way it affects the overall team performance. Teamwork quality is defined by six subconstructs: communication, coordination, balance of member contributions, mutual support, effort, and cohesion, while team performance is defined with effectiveness and efficiency. A survey of 260 respondents from the IT sector in Bosnia and Herzegovina was conducted and in both tested models, our results have confirmed that the highest effect on team effectiveness comes from mutual support, with slightly different – but still significant, impact of team cohesion and effort.

scholarly journals Analysis of critical machine reliability in manufacturing cells

2019 ◽  
Vol 12 (1) ◽  
pp. 70 ◽  
Author(s):  
Manocher Djassemi ◽  
Hamid Seifoddini
Keyword(s):  
Simulation Model ◽  
Flow Line ◽  
Discrete Event ◽  
Production Capacity ◽  
Business Environment ◽  
Manufacturing Cells ◽  
Machine Failure ◽  
Machine Reliability ◽  
Critical Machine ◽  
Critical Machines

Purpose: In an increasingly competitive business environment, machine reliability problem merits special attention in operations of  manufacturing cells. This is mainly due to flow line nature of the cellular layout, interdependency of downstream and upstream of machines related to each other. This study investigates the effect of critical machine reliability improvement  on production capacity and throughput time in manufacturing cells.  Design/methodology/approach: A discrete-event simulation model was developed to investigate the effectiveness of a reliability plan focusing on the most critical production machines in improving the performance level as an alternative to increasing the reliability of all machines. Four machine criticality policies are examined in the simulation experiments.Findings: The results of this experimental study indicated that an improvement of reliability of a limited number of machines leads to an increase in overall production capacity and speed in cellular manufacturing operations. A reliability plan, that focuses on a set of critical machines, potentially offers a more economical alternative to increasing the reliability of all machines in such facility.Research limitations/implications: The results demonstrate that to achieve higher production capacity and shorter throughput times, managers should consider directing more resources to increase the reliability of critical machines, particularly, those with shorter mean time to failure and higher utilization.Originality/value: The designed simulation model is unique in representing the dynamics of a real world manufacturing cell environment by encoding operational functions such as machine failure, maintenance resource allocation, material flow, job sequencing and scheduling. A new machine availability metric is defined as well. 

Green scheduling optimization of ship plane block flow line considering carbon emission and noise

2020 ◽  
Vol 148 ◽  
pp. 106680
Author(s):  
Hui Guo ◽  
Jinghua Li ◽  
Boxin Yang ◽  
Xuezhang Mao ◽  
Qinghua Zhou
Keyword(s):  
Carbon Emission ◽  
Flow Line ◽  
Scheduling Optimization

scholarly journals An Integrated Model for the Harvest, Storage, and Distribution of Perishable Crops

2021 ◽  
Vol 11 (15) ◽  
pp. 6855
Author(s):  
Giovanni Giallombardo ◽  
Giovanni Mirabelli ◽  
Vittorio Solina
Keyword(s):  
Real Life ◽  
Cost Savings ◽  
Parameter Setting ◽  
Food Supply Chains ◽  
Production And Distribution ◽  
Distribution Phase ◽  
Multi Level ◽  
Effectiveness And Efficiency ◽  
Significant Opportunity

Coordination of the production and distribution activities represents a significant opportunity to cut costs and limit waste in the food supply chains. In this paper, we propose two mathematical models. The first one aims to integrate the harvesting, storage, and distribution activities of an agricultural company dealing with perishable products. The second one promotes horizontal collaboration between heterogeneous agri-companies for the distribution phase, in order to achieve cost savings. Computational experiments, conducted on a set of real-life instances, confirm the effectiveness and efficiency of the proposed models, which provide multi-level support. At the tactical level, managerial insights suggest the most profitable parameter setting, in terms of harvesting frequency and quality of service. At the operational level, the use of a heuristic framework can support the decision-making of the companies, suggesting when collaboration is profitable.

scholarly journals Determination of standard times for process improvement: A case study

2017 ◽  
Vol 7 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Mehmet Akansel ◽  
Betul Yagmahan ◽  
Erdal Emel
Keyword(s):  
Process Improvement ◽  
Business Environment ◽  
Time Study ◽  
Work Study ◽  
Production Lines ◽  
Productivity Improvement ◽  
Work Sampling ◽  
Increase Productivity ◽  
The Times

Abstract The companies are required to use proper methods to reduce their costs and increase productivity levels so that they can survive in the fast-changing competitive conditions of the existing business environment. Work study is one of those highly effective productivity improvement methods in labor dependent industries. Determination of standard times, which is one of the important steps of a work study, provides a critical input for process improvement activities within companies. This work is based on a project which included determination of standard times as one of the earliest steps of process improvement activities in a steel-pipe manufacturing company. In systems analysis phase which was performed as the first step, it was observed that long delays occurred on production lines and an evenly distribution of workload among workers was not achievable most of the times. In order to alleviate these problems, all labor-intensive jobs within the system were identified and depicted in process charts. Standard times of the processes were determined by using time study and work sampling techniques. Next, line balancing problems associated with uneven workloads were addressed using these standard times data and some solutions were obtained. All in all, the framework which provided promising results in this pilot study was recommended to be broadened to the entire manufacturing system of the company. Keywords: time study, work sampling, standard time, productivity.

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