Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time
Purpose: Cloud manufacturing is a service-oriented production model that centralizes production resources to respond to specific customer needs in different locations. One of the main issues in cloud manufacturing systems is the proper allocation of sub-tasks to enterprises and their optimal schedul...
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Ayandegan Institute of Higher Education, Tonekabon,
2024-06-01
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| Series: | تصمیم گیری و تحقیق در عملیات |
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| Online Access: | https://www.journal-dmor.ir/article_183595_a5052b2cbb19cdfa081779bdefa44cc4.pdf |
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| author | Zohre Kiapasha Ali Salmasnia |
| author_facet | Zohre Kiapasha Ali Salmasnia |
| author_sort | Zohre Kiapasha |
| collection | DOAJ |
| description | Purpose: Cloud manufacturing is a service-oriented production model that centralizes production resources to respond to specific customer needs in different locations. One of the main issues in cloud manufacturing systems is the proper allocation of sub-tasks to enterprises and their optimal scheduling. Most studies assume that all tasks have only one type of structure, although it is possible to have tasks with different structures in one order set. Furthermore, existing scheduling models in the cloud manufacturing literature tend to assume that all tasks are available at time zero and that the logistics time/cost among enterprises is negligible. Therefore, in this study, an optimization model with three objective functions of task completion time, the cost imposed on the cloud manufacturing system, and the quality of the selected services are developed to get closer to the real world; three features are included in it: 1) the possibility of tasks with two structures, series and parallel, 2) different arrival times of tasks in the cloud manufacturing system, and 3) time/cost of logistics between different enterprises.Methodology: First, six examples with different numbers of tasks and subtasks are designed with both sequential and parallel structures. To solve the proposed model accurately and achieve the global optimum, the CPLEX solver is used in the GAMS software.Findings: To verify the importance of the characteristics of the developed model, two comparative studies are carried out. In the first comparative study, the presented model is compared with a similar model in which it is assumed that all tasks are available at time zero. The second comparative study examines the effect of considering logistics time/costs between enterprises when allocating subtasks to services. The results of the comparative studies show the misleading level of the cloud manufacturing manager in the face of the reduced models.Originality/Value: This research aims to present a model for the simultaneous scheduling of tasks with sequential and parallel structures, considering the different task arrival times and logistics in the cloud manufacturing system. |
| format | Article |
| id | doaj-art-498c958a442b43bc83afdee65601445b |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2024-06-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-498c958a442b43bc83afdee65601445b2025-01-30T15:03:40ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-06-0191647910.22105/dmor.2023.403092.1759183595Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival timeZohre Kiapasha0Ali Salmasnia1Department of Computer Engineering and IT, Faculty of Engineering, University of Qom, Qom, Iran.Department of Industrial Engineering, Faculty of Engineering, University of Qom, Qom, Iran.Purpose: Cloud manufacturing is a service-oriented production model that centralizes production resources to respond to specific customer needs in different locations. One of the main issues in cloud manufacturing systems is the proper allocation of sub-tasks to enterprises and their optimal scheduling. Most studies assume that all tasks have only one type of structure, although it is possible to have tasks with different structures in one order set. Furthermore, existing scheduling models in the cloud manufacturing literature tend to assume that all tasks are available at time zero and that the logistics time/cost among enterprises is negligible. Therefore, in this study, an optimization model with three objective functions of task completion time, the cost imposed on the cloud manufacturing system, and the quality of the selected services are developed to get closer to the real world; three features are included in it: 1) the possibility of tasks with two structures, series and parallel, 2) different arrival times of tasks in the cloud manufacturing system, and 3) time/cost of logistics between different enterprises.Methodology: First, six examples with different numbers of tasks and subtasks are designed with both sequential and parallel structures. To solve the proposed model accurately and achieve the global optimum, the CPLEX solver is used in the GAMS software.Findings: To verify the importance of the characteristics of the developed model, two comparative studies are carried out. In the first comparative study, the presented model is compared with a similar model in which it is assumed that all tasks are available at time zero. The second comparative study examines the effect of considering logistics time/costs between enterprises when allocating subtasks to services. The results of the comparative studies show the misleading level of the cloud manufacturing manager in the face of the reduced models.Originality/Value: This research aims to present a model for the simultaneous scheduling of tasks with sequential and parallel structures, considering the different task arrival times and logistics in the cloud manufacturing system.https://www.journal-dmor.ir/article_183595_a5052b2cbb19cdfa081779bdefa44cc4.pdfcloud manufacturingschedulingtasks structuredifferent task arrival timeslogistics time/cost |
| spellingShingle | Zohre Kiapasha Ali Salmasnia Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time تصمیم گیری و تحقیق در عملیات cloud manufacturing scheduling tasks structure different task arrival times logistics time/cost |
| title | Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| title_full | Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| title_fullStr | Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| title_full_unstemmed | Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| title_short | Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| title_sort | tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time |
| topic | cloud manufacturing scheduling tasks structure different task arrival times logistics time/cost |
| url | https://www.journal-dmor.ir/article_183595_a5052b2cbb19cdfa081779bdefa44cc4.pdf |
| work_keys_str_mv | AT zohrekiapasha tasksschedulingwithdifferentstructuresincloudmanufacturingaccordingtothetimeandcostoftransportationandthetaskarrivaltime AT alisalmasnia tasksschedulingwithdifferentstructuresincloudmanufacturingaccordingtothetimeandcostoftransportationandthetaskarrivaltime |