Integrated Dynamic Cell Formation-Production Planning: A New Mathematical Model

Rabbani, Masoud; Keyhanian, Sina; Manavizadeh, Neda; Farrokhi-Asl, Hamed

doi:10.24200/sci.2017.4387

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…To adopt an e cient integrated method, they used an agent-based modeling approach because, among other bene ts, it enjoys the ability to track and evaluate real-time information successfully and model the complex systems e ectively. Rabbani et al [13] presented a dynamic CFP considering some new and special characteristics. The concept of machine requirement by lucky parts, the parts that are allowed to be produced in a speci c period, is combined with the depreciable property of machines.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic virtual cell formation considering new product development

2018

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Nowadays, factories should exercise and develop adaptability to the competitively dynamic environment of current markets and businesses. Di erent strategies and systems exist to help factories in a dynamic environment. In this paper, a new multi-objective mathematical model was presented by implementing dynamic virtual cellular manufacturing and considering new product development, which enable factories to be successful in their business. This paper follows three objectives: maximizing the total pro ts of the factory in all the periods, the grouping e cacy, and the number of new products. Following the linearization of the proposed model, multi-choice goal programming with utility function was used to solve the model. Further, a case study was conducted in the real world to show the e ectiveness of the proposed model and, nally, the results showed that the integration of virtual cellular manufacturing with new product development could be helpful for managers and companies and ensure higher e ciency.

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Section: Literature Reviewmentioning

confidence: 99%

Dynamic virtual cell formation considering new product development

2018

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“…The presented mathematical formulation consists of three main objectives in which the first one aims to minimize the inter-/intra-cell part movements, the second objective minimizes machine and operator costs, and the last one increases consecutive forward flow ratio. Rabbania et al (2017) presented a new dynamic cell formation problem, where some new concepts such as lucky parts were introduced. Lucky parts are parts which are allowed to be produced in a specific period.…”

Section: Introductionmentioning

confidence: 99%

Dynamic cellular manufacturing system considering machine failure and workload balance

2018

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Machines are a key element in the production system and their failure causes irreparable effects in terms of cost and time. In this paper, a new multi-objective mathematical model for dynamic cellular manufacturing system (DCMS) is provided with consideration of machine reliability and alternative process routes. In this dynamic model, we attempt to resolve the problem of integrated family (part/machine cell) formation as well as the operators' assignment to the cells. The first objective minimizes the costs associated with the DCMS. The second objective optimizes the labor utilization and, finally, a minimum value of the variance of workload between different cells is obtained by the third objective function. Due to the NP-hard nature of the cellular manufacturing problem, the problem is initially validated by the GAMS software in smallsized problems, and then the model is solved by two well-known meta-heuristic methods including non-dominated sorting genetic algorithm and multi-objective particle swarm optimization in large-scaled problems. Finally, the results of the two algorithms are compared with respect to five different comparison metrics.

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