Genetic Algorithm Based Reactive Scheduling (1st Report, Modification of Production Schedule for Delays of Manufacturing Processes)

Tanimizu, Yoshitaka; Sakaguchi, Tatsuhiko; Sugimura, Nobuhiro

doi:10.1299/kikaic.69.2458

Cited by 11 publications

(7 citation statements)

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“…Among these data, production progress and work history data at a manufacturing floor are very important because they influence production efficiency indices, which are the quality, the cost, and the delivery [7]- [10]. To gather data of production progress and work history on the manufacturing floor, it is necessary to sense materials, machines, and workers, which are constituent elements of the manufacturing floor.…”

Section: Data Collection Methodsmentioning

confidence: 99%

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Kitazawa

Takahashi

et al. 2017

SICE Journal of Control, Measurement, and System Integration

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: This paper presents a real time workers' behavior analyzing system using wearable sensors which combine Bluetooth low energy beacon (Beacon) and acceleration sensor to measure production progress and work history data in a cellular manufacturing system. It takes a lot of cost to collect those data on the cellular manufacturing line where workers' work is mainly conducted. For the purpose, we first built an experimental cellular manufacturing line and collected workers' behavioral data. Next, we developed our system and determined analyzing parameters using workers' behavioral data. Finally, we built another experimental cellular manufacturing line, and we measured production progress and work history data from our system. We then compared the result with a conventional visual method using video. The results revealed that our system measured the productivity data in the cellular manufacturing line which does not use a machine, and we could gather production progress and work history data more quickly than the conventional method. We believe that our system will make it possible to increase the efficiency of the supply chain system, to get a quick feedback in daily production, and to improve production.

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Section: Data Collection Methodsmentioning

confidence: 99%

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Kitazawa

Takahashi

et al. 2017

SICE Journal of Control, Measurement, and System Integration

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“…In prior research, Tanimizu (2003) has approached this issue via reactive scheduling using a genetic algorithm [6]. Reactive scheduling means that the schedule of the whole project is altered appropriately when the specification changes; that is, the initial schedule is changed.…”

Section: ) Speedy Pdca Cyclementioning

confidence: 99%

A Study of Software Development ProjectsSubject to Many Specification Changes

Konno

2018

Int J Jpn Assoc Mgt Sys

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In workplaces developing map database for car navigation systems, the issue of specification changes occurs frequently. Geographical conditions, traffic restrictions, and various other conditions differ in each part of the world, making it difficult to identify all specification changes in advance. Moreover, specification changes occurring in one project may affect other projects developed around the same time. This paper looks at how to manage and run software development projects with many specification changes to achieve greater stability. This paper suggests a change point management and solution for determining how to adjust the initial development schedules and allocate development staff each time a specification changes, to ensure the stabilization of the project as a whole.

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“…The main idea of the algorithm is based on the one using GA proposed by Tanimizu et al (2003). It is expected that the proposed algorithm is effective for the RS, because LCO is more effective algorithm than GA for solving JSP.…”

Section: Application Of Lco To Rsmentioning

confidence: 99%

“…Here, the metaheuristic algorithms are suitable for improving the schedule with fast computational time. As a preceding study which applies the metaheuristic algorithm to the RS, Tanimizu et al (2003) proposed the RS process algorithm using GA. The effectiveness of their method is verified by some comparative experiments using the RS process based on classical dispatching rules.…”

Section: Introductionmentioning

confidence: 99%

Application of local clustering organization to reactive job-shop scheduling

et al. 2014

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This study focuses on the reactive scheduling in manufacturing systems. In practical situations, the predetermined schedule often changes under the influence of the unpredictable or variable environment in the factory. The reactive scheduling (RS) is a methodology to modify the predetermined schedule to cope with variable situations without suspending the proceeding of the processes on the schedule. Therefore, the RS requires a method to improve the schedule with fast computational time. To obtain an effective method for the RS, this paper proposes a novel RS method using local clustering organization. Also, this paper examines its effectiveness by a numerical experiment. Our results suggest that the proposed method is more effective than the method using genetic algorithm.

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Genetic Algorithm Based Reactive Scheduling (1st Report, Modification of Production Schedule for Delays of Manufacturing Processes)

Cited by 11 publications

References 0 publications

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

A Study of Software Development ProjectsSubject to Many Specification Changes

Application of local clustering organization to reactive job-shop scheduling

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Genetic Algorithm Based Reactive Scheduling (1st Report, Modification of Production Schedule for Delays of Manufacturing Processes)

Cited by 11 publications

References 0 publications

Real Time Workers&apos; Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Real Time Workers&apos; Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

A Study of Software Development ProjectsSubject to Many Specification Changes

Application of local clustering organization to reactive job-shop scheduling

Contact Info

Product

Resources

About

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor

Real Time Workers' Behavior Analyzing System for Productivity Measurement Using Wearable Sensor