Single‐machine scheduling problem with flexible maintenance and non‐resumable jobs to minimise makespan

Chen, Yarong; Huang, Chenjun; Chou, Fuh-Der; Huang, Shenquan

doi:10.1049/iet-cim.2020.0014

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Already in 2010, Zhao et al [37] proposed a hybrid algorithm for production scheduling integration in holonic manufacturing systems. It is also clear that in modern competitive companies, the scheduling problem is also associated with correct maintenance, as pointed out by some authors [38,39]. In addition, it is important to note that, although several studies on FJSS have been published, the integration of a decision tool based on MCDA is not treated to solve the flexible job shop scheduling problem.…”

Section: Literature Review On Fjss and Smart Manufacturingmentioning

confidence: 99%

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

et al. 2021

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Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

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Section: Literature Review On Fjss and Smart Manufacturingmentioning

confidence: 99%

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

et al. 2021

View full text Add to dashboard Cite

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“…Thus, for the processing‐level problems, the corresponding scheduling method also needs to be applied. [23] studied a single‐machine scheduling problem with flexible maintenance and non‐resumable jobs, and they constructed two mixed‐integer programing models and proposed algorithms and procedures. [24] pointed out that steel and metal casting is identified as a key area of concern from the environmental perspective, and the casting industry consumes a major proportion of energy and produces a huge amount of waste materials in which machine scheduling serves a vital role to promote GM.…”

Section: Introductionmentioning

confidence: 99%

Twenty‐year retrospection on green manufacturing: A bibliometric perspective

Pei

et al. 2021

IET Collab Intel Manufact

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In the modern age of Industry 4.0 and manufacturing servitisation, energy saving and environment consciousness are regarded as vital themes in manufacturing processes to reduce carbon tax and achieve sustainable development. For the past 20 years, the concept of green manufacturing has grown from infancy to a fully formed framework agreed upon by world-leading enterprises. With the unprecedented development of the information technology today, the industrial data collected could assist in the in-depth study on green manufacturing, which ranges from the operations of machining tools all the way to supply chain management. The wide scope of research promises a tremendous amount of annual publications in this field. To better facilitate follow-up research work, the present study provides a systematic overview of green manufacturing-related areas, including research progress and the developed features. The article set retrieved from the Web of Science contains 5989 documents related to green manufacturing. It is revealed that Journal of Cleaner Production is the most productive journal, archiving documents within the scope of green manufacturing. P. R. China tops the list of the number of documents with 1357 documents (22.66%), while Zhejiang University is the most productive institution. As the cooperation network indicates, P. R. China and the United States maintain the strongest collaborative links with other countries/regions. Finally, possible future directions are recommended based on the findings in the study. For instance, additive manufacturing technology and industrial IoT both have a great potential in green manufacturing; the weak link between the disciplines of manufacturing engineering and environmental science is expected to be strengthened, and a stronger international cooperation is believed to be beneficial to the field for the otherwise isolated countries/regions. K E Y W O R D S bibliometric analysis, energy efficient, energy saving, green manufacturing, green production, sustainable manufacturingThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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A new composite heuristic to minimize the total tardiness for the single machine scheduling problem with variable and flexible maintenance

Costa,

Rosario Corsini,

Pagano

et al. 2025

Computers & Operations Research

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Single‐machine scheduling problem with flexible maintenance and non‐resumable jobs to minimise makespan

Cited by 4 publications

References 26 publications

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Twenty‐year retrospection on green manufacturing: A bibliometric perspective

A new composite heuristic to minimize the total tardiness for the single machine scheduling problem with variable and flexible maintenance

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