Cell formation with alternative process routings and machine reliability consideration

Ameli, Mohammad Saeed Jabal; Arkat, Jamal

doi:10.1007/s00170-006-0753-6

Cited by 45 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it is well known that in advanced manufacturing systems a task can be processed following alternative process routings (APR). Alternative process routing is widely considered in cellular manufacturing (Ameli and Arkat 2008;Eguia et al 2017;Kusiak 1987) but it has not been investigated in Cloud manufacturing. Considering APR for each task makes the model realistic and may enhance the flexibility of CMfg and reach the optimal performance of the system.…”

Section: Literature Reviewmentioning

confidence: 99%

Alternative process routing and consolidated production-distribution planning with a destination oriented strategy in cloud manufacturing

Zeynivand

Ranjbar

Radmanesh

et al. 2021

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

Cloud manufacturing as a new service-oriented business model transforms manufacturing resources into manufacturing services and manages them centrally via Cloud manufacturing platforms. Using distributed manufacturing resources is an opportunity to decrease the logistics and production costs by allocating tasks to manufacturing resources toward task destination nodes. Decomposing ordered tasks to several subtasks, allocating distributed manufacturing resources to tasks, scheduling manufacturing tasks, and select appropriate logistics strategies to deliver tasks to service providers are important activities that must be considered to improve the performance of a Cloud manufacturing system. This paper proposes a mathematical model to improve the performance of the Cloud manufacturing systems. To that end, task decomposition is implemented based on the alternative process routing concept. Decomposing each task to several manufacturing plans results in enhancing system flexibility and consequently improve the performance of cloud manufacturing. Besides, a consolidated production-distribution toward destination nodes strategy is employed to allocate and deliver tasks to manufacturing resources at minimum costs. The impacts of the alternative process routing concept and consolidated productiondistribution toward destination nodes strategy are discussed by considering different scenarios and the capabilities of the proposed model have been demonstrated.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Alternative process routing and consolidated production-distribution planning with a destination oriented strategy in cloud manufacturing

Zeynivand

Ranjbar

Radmanesh

et al. 2021

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

show abstract

“…Mean time between failures (MTBF) is a common way of dealing with a machine's reliability concern in the design phase of a manufacturing system (Jabal Ameli and Arkat, 2008). Thus,…”

Section: Proposed Pm Planning Proceduresmentioning

confidence: 99%

Preventive maintenance planning considering machines’ reliability using group technology

Alhourani

Essila

Farkas

2021

JQME

View full text Add to dashboard Cite

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.

show abstract

“…Hence, it is crucial to consider reliability and break down of the machines for having an efficient manufacturing system. Ameli and Arkat (2008) expressed that, reliability can be modeled as machine repair cost or production time delay cost. In addition, for modeling the possibility of failure in machine and system, there is two type of distribution are used which are as follows:…”

Section: Reliability In Cmsmentioning

confidence: 99%

“…Moreover, Ameli and Arkat (2008) proposed a mathematical method for calculating the machine breakdown cost. The breakdown cost is gained via dividing the production time by the mean time between the failure and then multiplying this quantity by the machine breakdown cost.…”

Section: Reliability In Cmsmentioning

confidence: 99%

Literature Review on Machine Reliability in Cellular Manufacturing System

Houshyar¹,

Leman²,

Moghadam³

et al. 2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

Nowadays, in the global markets companies have to produce highquality product, low cost product in order to be alived in competetive markets. Group technology helps manufacturer to raech this aim. One of the most proper applications of group technology is called Cellular Manufacturing System (CMS). CMS is able to implement in the manufacturing system for overcoming the waeakness of traditional manufacturing system such as Job shop, Flow shop. One of the main challenging issues in CMS is named machine reliability and breakdown. Although, production facilities and machines are improving and becoming more sophisticated, they are not free from deterioration due to the aging which leads to shifting from in-control to out-of-control state for the machines and also breakdown of machines in the planning horizon. This study provides a comprehensive review on literature of machine reliability in cellular manufacturing system. This study made attempts to gather all the researches which have been done on machine reliability in CMS. In fact this issue was considered by the author since, moving from in-control state to out-of-control state and also machine breakdown have effective impacts on the system; therefore, it is essential for manufacturers to consider this subject in their study for preventing the huge wastage of time and cost in the system which will be occurred as results of this phenomena.

show abstract

Cell formation with alternative process routings and machine reliability consideration

Cited by 45 publications

References 32 publications

Alternative process routing and consolidated production-distribution planning with a destination oriented strategy in cloud manufacturing

Alternative process routing and consolidated production-distribution planning with a destination oriented strategy in cloud manufacturing

Preventive maintenance planning considering machines’ reliability using group technology

Literature Review on Machine Reliability in Cellular Manufacturing System

Contact Info

Product

Resources

About