RETRACTED ARTICLE: OSGA: genetic-based open-shop scheduling with consideration of machine maintenance in small and medium enterprises

Shamshirband, Shahaboddin; Shojafar, Mohammad; Hosseinabadi, Ali Asghar Rahmani; Kardgar, Maryam; Nasir, Mohd Hairul Nizam Md; Ahmad, Rodina

doi:10.1007/s10479-015-1855-z

Cited by 18 publications

(9 citation statements)

References 30 publications

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“…Centralised methods are criticised for being too rigid and very poor at reacting to dynamic situations (Scholz-Reiter, Rekersbrink, and Görges 2010). Recent related works in centralised systems cover advanced search algorithms for similar scenarios; Shamshirband et al investigates a genetic-based open-shop scheduling on considering machine maintenance (Shamshirband et al 2015), additionally Hosseinabadi et al uses a gravitational emulation local search algorithm for multi-objective dynamic job shop scheduling (Hosseinabadi et al 2015). For this study a simple (First In First Out) FIFO heuristic is used to compare hierarchical systems relative to anarchic, this is sufficient to evaluate inherent traits of the two system types.…”

Section: Control Architecturesmentioning

confidence: 99%

Anarchic manufacturing

Nassehi

Snider

2018

International Journal of Production Research

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This paper introduces anarchic manufacturing, an extremely distributed planning and control philosophy as the methodology for planning and controlling future smart factories. Anarchic manufacturing delegates decision making authority and autonomy to the lowest level of entities in system elements with no centralised control or oversight. It is often postulated that traditional hierarchical structures may not be well suited to manage the state-of-the-art hyper-connected smart factories due to their reliance on communication between management layers. Distributed systems, on the other hand, are commonly perceived to be inherently more flexible, robust and adaptable than hierarchical systems due to their structure. This paper characterises distributed systems by evaluating the relative flexibility of a representative hierarchical system against an anarchic system in a job shop scenario. Multi agent based simulation is used to model both hierarchical and anarchic systems, which are tested for flexibility following the Taguchi method and compared against Taillard's benchmark job shop problems for overall performance. The results show that the anarchic system performs as well as the hierarchical system when subjected to unforeseen disruption, refuting the argument that hierarchical systems are too rigid and distributed systems are inherently more flexible. However, anarchic manufacturing systems, which show adaptability and self-optimising traits, provide a platform to potentially enable the emerging digital manufacturing paradigm through the free market structure especially when bandwidth for communications is limited.

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Section: Control Architecturesmentioning

confidence: 99%

Anarchic manufacturing

Nassehi

Snider

2018

International Journal of Production Research

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“…In this section, for further verification, the performance of the proposed BA_OS is evaluated using the benchmarks presented recently by Shamshirband et al [6]. According to these benchmarks, some GA-based algorithms including DGA [37], SAGA [37], TSGA [37] and PGA [37] have been proposed to solve the problem which are compared to the proposed BA_OS.…”

Section: Test Problemsmentioning

confidence: 99%

“…Therefore, it has a wider solution space than other workspace environments. As a result, less attention has been paid to the open shop problem (OSP) compared to other workspace environments [6]. The OSSP was first introduced in major car repair garages [7].…”

Section: Introductionmentioning

confidence: 99%

An improved bat optimization algorithm to solve the tasks scheduling problem in open shop

Shareh

Bargh

Hosseinabadi

et al. 2020

Neural Comput & Applic

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The open shop scheduling problem involves a set of activities that should be run on a limited set of machines. The purpose of scheduling open shops problem is to provide a timetable for implementation of the entire operation so that the total execution time is reduced. The tasks scheduling problem in open shops is important in many applications due to the arbitrariness of the processing sequence of each job and lack of a prioritization of its operations. This is an NP-hard problem and obtaining an optimal solution to this problem requires a high time complexity. Therefore, heuristic techniques are used to solve these problems. In this paper, we investigate the tasks scheduling problem in open shops using the Bat Algorithm (BA) based on ColReuse and substitution meta-heuristic functions. The heuristic functions are designed to increase the rate of convergence to the optimal solution. To evaluate the performance of the proposed algorithm, standard open shop benchmarks were used. The results obtained in each benchmark are compared with those of the previous methods. Finally, after analyzing the results, it was found that the proposed BA had a better performance and was able to generate the best solution in all cases.

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“…In addition to information security, there are also several studies that look and propose support decision models specifically addressed to the SME sector [9][10]. In this sense, it becomes clear that the SME sector is gaining increasing importance in information technologies, both in industry and services environment.…”

Section: Related Workmentioning

confidence: 99%

Structure and Challenges of a Security Policy on Small and Medium Enterprises

2018

KSII TIIS

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Information Technology (IT) plays an increasingly important role for small and medium-sized enterprises. It has become fundamental for these companies to protect information and IT assets in relation to risks and threats that have grown in recent years. This study aims to understand the importance and structure of an information security policy, using a quantitative study that intends to identify the most important and least relevant elements of an information security policy document. The findings of this study reveal that the top three most important elements in the structure of a security policy are the asset management, security risk management and define the scope of the policy. On the other side, the three least relevant elements include the executive summary, contacts and manual inspection. Additionally, the study reveals that the importance given to each element of the security policy is slightly changed according to the sectors of activity. The elements that show the greatest variability are the review process, executive summary and penalties. On the other side, the purpose of the policy and the asset management present a stable importance for all sectors of activity.

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RETRACTED ARTICLE: OSGA: genetic-based open-shop scheduling with consideration of machine maintenance in small and medium enterprises

Cited by 18 publications

References 30 publications

Anarchic manufacturing

Anarchic manufacturing

An improved bat optimization algorithm to solve the tasks scheduling problem in open shop

Structure and Challenges of a Security Policy on Small and Medium Enterprises

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