A multi-objective integrated cellular manufacturing systems design with dynamic system reconfiguration

Javadian, Nikbakhsh; Aghajani, Aydin; Rezaeian, Javad; Sebdani, Mohammad Javad Ghaneian

doi:10.1007/s00170-011-3164-2

Cited by 31 publications

(11 citation statements)

References 24 publications

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“…Many authors proposed models, which consider dynamic cell reconfiguration over multi periods [1][2][3][4][5][6].…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Aljuneidi¹,

Bulgak²

2016

JMSS

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This article presents a comprehensive mathematical model for the design and analysis of Dynamic Cellular Manufacturing Systems (DCMS). The proposed DCMS model considers several manufacturing attributes such as multi period production planning, dynamic system reconfiguration, duplicate machines, machine capacity, the available time for workers, worker assignments, and machine procurement. The objective is to minimize total costs; consisting of holding cost, outsourcing cost, inter-cell material handling cost, maintenance and overhead cost, machine relocation cost. While a study of published articles in the area of Cellular Manufacturing Systems (CMS) shows that workforce management issues have not sufficiently been addressed in the literature, the model presented also incorporates CMS workforce management issues such as salaries, hiring and firing costs of workers in addition to the manufacturing attributes. In-depth discussions on the results for two numerical examples are presented to illustrate applications of the proposed model. The model developed aims to raise the envelope by expanding and improving several CMS models previously presented in the literature.

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“…Many authors proposed models, which consider dynamic cell reconfiguration over multi periods [1][2][3][4][5][6].…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Aljuneidi¹,

Bulgak²

2016

JMSS

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“…Rafiee et al (2011) presented a comprehensive mathematical model for integrated CF and inventory lot sizing problem. Javadian et al (2011) proposed a multi-objective dynamic CF problem where objective functions minimize total costs and total cell load variation, respectively. Khaksar-Haghani et al (2011) developed a mathematical model by considering cell construction and cell unemployment costs.…”

Section: Literature Reviewmentioning

confidence: 99%

A three-phase heuristic approach to solve an integrated cell formation and production planning problem

Kheirkhah¹,

Ghajari²

2018

10.5267/j.uscm

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In today's dynamic business environment, the product mix and demand may vary from period to period. Therefore, the same configuration of cellular systems will not be optimal in different periods. In this paper, a new mixed integer non-linear mathematical programming model is presented to design dynamic cellular manufacturing systems and combines several design features including multi-period production planning, alternate routings, system reconfiguration, duplicate machines, lot splitting, workload balance among machines and cells, cell size limits, and material flow between machines. The required capacity for parts production is modeled based on flow shop perspective and the aim of mixed integer model is to find optimal independent cells, the quantity of machine types in each cell, and production quantity of the parts during each period of the time horizon. Since this problem belongs to NPhard class, a three-phase approach is developed to solve the model for practical purposes. Phase 1 finds a feasible solution, phase 2 finds the neighbor solutions, and phase 3 improves a feasible solution. To analyze the computational efficiency, eight test problems with different sizes are considered and the optimal and near-optimal solutions are compared. The efficiency of the algorithm in terms of the objective function values and computational times is shown by the obtained results.Growing Science Ltd. All rights reserved. 8

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“…Finally, they used a GA approach to approximate the Pareto optimal set. Javadian et al [17] proposed multi-objective mathematical model for integrated cellular manufacturing system with dynamic system recon guration. The rst objective function minimized the total load variation of cells and sum of the miscellaneous costs.…”

Section: Literature Reviewmentioning

confidence: 99%

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

et al. 2017

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Abstract. In this paper, a dynamic cell formation problem is presented considering some new and special characteristics. The concept of machine requirement by lucky parts, the parts which are allowed to be produced in a speci c period, is combined with the depreciable property of machines. Therefore, purchasing and selling of machines according to their book-value and generating income have been taken into account. This leads to a new vantage characteristic in cell formation where, in each period, we deal only with the types and number of machines required. The new mathematical model is presented and solved by exact and ant colony optimization methods for three problem sizes.

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A multi-objective integrated cellular manufacturing systems design with dynamic system reconfiguration

Cited by 31 publications

References 24 publications

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

Design of Cellular Manufacturing Systems Considering Dynamic Production Planning and Worker Assignments

A three-phase heuristic approach to solve an integrated cell formation and production planning problem

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

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