A framework for the design of cellular manufacturing systems

Choobineh, F.

doi:10.1080/00207548808947932

Cited by 252 publications

(76 citation statements)

References 4 publications

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“…Another drawback of late arrivals is the increase in the flow time and decrease in the throughput rat [5]. …”

Section: Conflicting Objectivesmentioning

confidence: 99%

Performance Issues of CMS in Automobile Industries using Computer Simulation

Bhangale¹,

Mahalle²

2012

IJCA

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Today, every company wants to curtail its expenses. Productivity being the main criteria, the daily demand plays a major role and based on this production takes place. This paper shows how cellular concept has contrasting approach in India and Japan and also, it gives detailed information about cell and cellular layout. Also, it consists of problem identification in the existing layout, objectives and methodology followed to achieve the objectives .In India, few companies like TVS, Maruti etc. have implemented it and other few are in a way of implementation (like Mahindra & Mahindra). A "Cell" is a collection of dissimilar machines or processes, located closely together in a sequential operation manner and dedicated to a set of a similar part and product. Cell is that in which two or more machine should be arrange such that receiving and shipping should be present at same location. Each machine has fix position and dissimilar machines are arranged in a cell so, the layout is known as cellular layout. CMS emphasis on : 1)To reduce through put time of the component, 2)To increase the target of manufacturing component and completion of target as per demand, 3)To maximize manpower utilization, 4) To minimize space utilization, 5)To reduce investment per unit output, 6)To reduce manpower requirement, 7)To improve Material Flow Control, 8)Cell Design, 9)Design Standardization .

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“…Another drawback of late arrivals is the increase in the flow time and decrease in the throughput rat [5]. …”

Section: Conflicting Objectivesmentioning

confidence: 99%

Performance Issues of CMS in Automobile Industries using Computer Simulation

Bhangale¹,

Mahalle²

2012

IJCA

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“…One line is to evaluate the similarity of two parts based on their sequences of operations. One early work is found in Choobineh [16], where similarity was defined on the common subsequences between two parts. Then, the notions of longest common sequence (LCS) and shortest composite supersequence (SCS) emerged to consider the relative orders (rather than just consecutive orders) [17,18].…”

Section: Similarity Coefficients In Cfmentioning

confidence: 99%

Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information

Zhu

2018

Mathematical Problems in Engineering

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The purpose of this paper is to advance the similarity coefficient method to solve cell formation (CF) problems in two aspects. Firstly, while numerous similarity coefficients have been proposed to incorporate different production factors in literature, a weighted sum formulation is applied to aggregate them into a nonbinary matrix to indicate the dependency strength among machines and parts. This practice allows flexible incorporation of multiple production factors in the resolution of CF problems. Secondly, a twomode similarity coefficient is applied to simultaneously form machine groups and part families based on the classical framework of hierarchical clustering. This practice not only eliminates the sequential process of grouping machines (or parts) first and then assigning parts (or machines), but also improves the quality of solutions. The proposed clustering method has been tested through twelve literature examples. The results demonstrate that the proposed method can at least yield solutions comparable to the solutions obtained by metaheuristics. It can yield better results in some instances, as well.

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“…Several types of integer programming formulations have been proposed over the last three decades by a number of researchers: Kusiak (1987), Shtub (1989), Choobineh (1988), Wei and Gaither (1990), Boctor (1991), Zhu et al (1995). Most of these research papers are identified and discussed by Selim et al (1998) together with the model of a comprehensive but hard to solve mathematical programming formulation with the objective of minimising simultaneously cost assignment of part operations, machines, workers and tooling to cells.…”

Section: Mathematical Programmingmentioning

confidence: 99%