Abstract
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.
Highlights
Current market trends, the variety of consumer demand, the short life cycle of the product, and competitive pressure have pushed companies to tackle the problem of reduction of production costs through better management of available resources
Scheduling flexible job-shop systems is a complex challenge in the context of smart manufacturing due to the dynamic and changing nature of the productive environment often characterized by a wide product portfolio, different production paths, technical restrictions, the availability of distinct technology types for the same operation, and the constant need for high customer satisfaction
This study proposed a new framework based on the integration between the dispatching algorithm and a hybrid MCDM model composed of fuzzy AHP
Summary
The variety of consumer demand, the short life cycle of the product, and competitive pressure have pushed companies to tackle the problem of reduction of production costs through better management of available resources. One fundamental tool is represented by the scheduling algorithms for the optimization of production [1]. Scheduling problems are decision-making problems in which the factor of time is of fundamental importance, understood as a (scarce) resource to be allocated in an optimal way [2]. A scheduling problem is uniquely described by three factors: architecture of the production system, process parameters, and any constraints of the function to be optimized. Several applications can be traced back to scheduling problems: the regulation of user access to a service, the assignment of operations at workstations during the transformation process of a product, the timing of activities to be carried out within a project complex, the assignment of classrooms to a set of classes, regulation of vehicle accesses at an intersection through traffic light control, the assignment of tracks to railway trains, and the use of tracks and/or gates by planes arriving or departing from an airport. The main scheduling models are (1) single machine, (2) parallel machines,
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