Generalized stochastic subdivision
ACM Transactions on Graphics (TOG)
The role of work-in-process inventory in serial production lines
Operations Research
Buffer allocation in unreliable production lines using a knowledge based system
Computers and Operations Research
Heuristics for selecting machines and determining buffer capacities in assembly systems
Computers and Industrial Engineering
Buffer allocation in flow-shop-type production systems with general arrival and service patterns
Computers and Operations Research
Performance analysis and buffer allocations in some open assembly systems
Computers and Operations Research
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Buffer allocation plan for a remanufacturing cell
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
Computers and Operations Research
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Material flow along a Flow Production Line may be disrupted by machine failures or variable processing times. In particular, Automatic Flow Production Lines are often affected by the presence of micro-down-times (i.e. speed losses due to work-pieces blocking or congestion, momentary stiff or stuck pieces on machines, etc.), which can penalize the productivity of the system and increase losses in availability for the whole plant. Moreover, micro-breakdowns cause inability of the system not to respond to sudden changes in demand due to capacity restrictions. Intermediate buffers built between the various machines in an asynchronous automatic (or semi-automatic) production line may increase the reliability of the whole system by limiting the consequences of micro-downtime, and saving companies from making inadequate purchases of oversized equipment. In this paper a new efficiency simulative study for the allocation of storage capacity in serial production lines is developed and a new experimental cross matrix is provided as a tool to determine the optimal buffer size. Thus, this research studies the relationship of machines' availability and buffers size, in order to stress a new paradigm: the buffer design for availability (BDFA). Using a simulation approach, this paper describes the effects of workstation reliability parameters on buffer capacity level, developing a set of simple guidelines to support and help designers and practitioners in the rapid and robust buffer design issue.