Cell formation design with improved similarity coefficient method and decomposed mathematical model

2015 ◽  
Vol 79 (5-8) ◽  
pp. 1335-1352 ◽  
Author(s):  
Lang Wu ◽  
Sadami Suzuki
Keyword(s):  
Mathematical Model ◽  
Cell Formation ◽  
Similarity Coefficient ◽  
Coefficient Method ◽  
Formation Design

scholarly journals Simultaneous Hierarchical Clustering for Cell Formation Problems with Production Information

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Yingyu Zhu ◽  
Simon Li
Keyword(s):  
Hierarchical Clustering ◽  
Cell Formation ◽  
Similarity Coefficient ◽  
Similarity Coefficients ◽  
Multiple Production ◽  
Part Families ◽  
Production Factors ◽  
Machine Groups ◽  
Coefficient Method

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 two-mode 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.

scholarly journals Study on Optimal Placement and Reasonable Number of Viscoelastic Dampers by Improved Weight Coefficient Method

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Ji-ting Qu ◽  
Hong-nan Li
Keyword(s):  
Mathematical Model ◽  
Weight Coefficient ◽  
Optimal Placement ◽  
Optimal Method ◽  
Analogy Method ◽  
Numerical Examples ◽  
Viscoelastic Dampers ◽  
Reasonable Number ◽  
Coefficient Method

A new optimal method is presented by combining the weight coefficient with the theory of force analogy method. Firstly, a new mathematical model of location index is proposed, which deals with the determination of a reasonable number of dampers according to values of the location index. Secondly, the optimal locations of dampers are given. It can be specific from stories to spans. Numerical examples are illustrated to verify the effectiveness and feasibility of the proposed mathematical model and optimal method. At last, several significant conclusions are given based on numerical results.

Preventive maintenance planning considering machines’ reliability using group technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farouq Alhourani ◽  
Jean Essila ◽  
Bernie Farkas
Keyword(s):  
Inventory Management ◽  
Virtual Machine ◽  
Preventive Maintenance ◽  
Clustering Algorithm ◽  
Group Technology ◽  
Heuristic Method ◽  
Similarity Coefficient ◽  
Reliability Factor ◽  
Content Type ◽  
Coefficient Method

PurposeThe purpose of this paper is to develop an efficient and effective preventive maintenance (PM) plan that considers machines’ maintenance needs in addition to their reliability factor.Design/methodology/approachSimilarity coefficient method in group technology (GT) philosophy is used. Machines’ reliability factor is considered to develop virtual machine cells based on their need for maintenance according to the type of failures they encounter.FindingsUsing similarity coefficient method in GT philosophy for PM planning results in grouping machines based on their common failures and maintenance needs. Using machines' reliability factor makes the plan more efficient since machines will be maintained at the same time intervals and when their maintenance is due. This helps to schedule a standard and efficient maintenance process where maintenance material, tools and labor are scheduled accordingly.Practical implicationsThe proposed procedure will assist maintenance managers in developing an efficient and effective PM plans. These maintenance plans provide better inventory management for the maintenance materials and tools needed using the developed virtual machine cells.Originality/valueThis paper presents a new procedure to implement PM using the similarity coefficient method in GT. A new similarity coefficient equation that considers machines reliability is developed. Also a clustering algorithm that calculates the similarity between machine groups and form virtual machine cells is developed. A numerical example adopted from the literature is solved to demonstrate the proposed heuristic method.

Application of the Similarity Coefficient Method in Group Technology

1986 ◽  
Vol 18 (3) ◽  
pp. 271-277 ◽  
Author(s):  
Hamid Seifoddini ◽  
Philip M. Wolfe
Keyword(s):  
Group Technology ◽  
Similarity Coefficient ◽  
Coefficient Method
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