{"id":356185,"date":"2024-10-20T01:11:20","date_gmt":"2024-10-20T01:11:20","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-22514-82014\/"},"modified":"2024-10-26T01:32:49","modified_gmt":"2024-10-26T01:32:49","slug":"bs-iso-22514-82014","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-22514-82014\/","title":{"rendered":"BS ISO 22514-8:2014"},"content":{"rendered":"
This part of ISO 22514 aims to define the evaluation method to quantify the short-term capability of a production process (capacity of the production tool, widely termed capability), i.e. the machine performance index, to ensure compliance to a toleranced measurable product characteristic, when said process does not feature any kind of sorting system.<\/p>\n
If the production process integrates a sorting system, then this one (clearing away nonconforming parts) should be analysed independently.<\/p>\n
This part of ISO 22514 does not aim to define evaluation methods of the capability of a production process that is gauged through long-term observation (capability process or performance process indices).<\/p>\n
This part of ISO 22514 defines<\/p>\n
the principles guiding the development of indicators for quantifying capability, and<\/p>\n<\/li>\n
the statistical methods to be employed.<\/p>\n<\/li>\n<\/ul>\n
The characteristics used to evaluate production process capability have statistical distributions, and it is presumed, a priori, that at least one of these distributions is multi-modal. A distribution is presumed to be multimodal if it results from the marked effect of at least one cause inducing a significant difference between the produced items.<\/p>\n
This part of ISO 22514 applies, for example, to characteristics generated by processes such as the following:<\/p>\n
multi-cavity casting: simultaneously producing several identical parts from a mould featuring several cavities.<\/p>\n
Since each cavity has its own geometry and its own position in the mould architecture, it can create a systemic difference on the output result;<\/p>\n<\/li>\n
multi-fixture machining: a part produced at the same time, but the produced parts are positioned in relation to the production tool by different fixture systems.<\/p>\n
Since each fixture has its own geometry, mount clamps, etc., it can create a systematic difference on the output result;<\/p>\n<\/li>\n
batch load treatments: heat treatment applied at the same time on a set of identical parts (the batch load), distributed within a pre-defined space of furnace. The position of an item of the batch relative to the furnace can influence the output result.<\/p>\n<\/li>\n<\/ul>\n
Each cavity, fixture, or position in the batch load corresponds to a different state. The multi-state process can be understood as the result of the combination of different states within the same process (e.g. cavity, fixture, position in the batch load).<\/p>\n
\nNOTE It needs to be ensured that such systematic differences, if any, constitute only a very small proportion of permissible error so that their impact is harmless and do not affect the capabilities of the process.<\/p>\n<\/blockquote>\n
PDF Catalog<\/h4>\n
\n
\n PDF Pages<\/th>\n PDF Title<\/th>\n<\/tr>\n \n 6<\/td>\n Foreword <\/td>\n<\/tr>\n \n 7<\/td>\n Introduction <\/td>\n<\/tr>\n \n 9<\/td>\n Section sec_1
1\tScope <\/td>\n<\/tr>\n\n 10<\/td>\n Section sec_2
Section sec_3
Section sec_3.1
Section sec_3.2
Section sec_3.3
Section sec_3.4
Section sec_3.5
2\tNormative references
3\tTerms and definitions <\/td>\n<\/tr>\n\n 11<\/td>\n Section sec_3.6
Section sec_3.7
Section sec_3.8
Section sec_3.9 <\/td>\n<\/tr>\n\n 12<\/td>\n Figure fig_1
Section sec_3.10
Figure fig_2
Section sec_3.11 <\/td>\n<\/tr>\n\n 13<\/td>\n Section sec_3.12
Section sec_3.13
Section sec_3.14
Section sec_4
4\tSymbols and abbreviations <\/td>\n<\/tr>\n\n 14<\/td>\n Section sec_5
Section sec_5.1
Section sec_5.2
5\tPreliminary technical analysis of the process
5.1\tGeneral
5.2\tIdentification of intrinsic factors <\/td>\n<\/tr>\n\n 15<\/td>\n Section sec_5.3
Section sec_6
Section sec_6.1
5.3\tDetermination of process-specific states
6\tPreliminary verifications before calculating the machine performance indices
6.1\tMeasurement system <\/td>\n<\/tr>\n\n 16<\/td>\n Section sec_6.2
Section sec_7
Section sec_7.1
6.2\tDefinition of the sampling plan for estimating global intrinsic dispersion
7\tEstimation of global intrinsic dispersion and calculation of machine performance indices
7.1\tGeneral <\/td>\n<\/tr>\n\n 17<\/td>\n Figure fig_3
Section sec_7.2
7.2\tVerification on the absence of outliers in the set of made measurement results <\/td>\n<\/tr>\n\n 18<\/td>\n Section sec_7.3
Figure fig_4
7.3\tDetermination of the widths of local intrinsic dispersions <\/td>\n<\/tr>\n\n 19<\/td>\n Section sec_7.4
7.4\tDetermination of the locations of local intrinsic dispersions <\/td>\n<\/tr>\n\n 20<\/td>\n Section sec_7.5
Figure fig_5
7.5\tGlobal intrinsic dispersion: type and estimation <\/td>\n<\/tr>\n\n 21<\/td>\n Table tab_1 <\/td>\n<\/tr>\n \n 22<\/td>\n Section sec_7.6
Table tab_2
7.6\tCalculation of capability indices Pm and Pmk <\/td>\n<\/tr>\n\n 23<\/td>\n Section sec_7.7
7.7\tAcceptance thresholds for the machine performance indices <\/td>\n<\/tr>\n\n 24<\/td>\n Annex sec_A
Annex sec_A.1
Annex sec_A.1.1
Table tab_b
Figure fig_A.1
Annex sec_A.1.2
Annex\u00a0A
\n(informative)<\/p>\nStates qualifying a processing process <\/td>\n<\/tr>\n
\n 25<\/td>\n Annex sec_A.1.3
Annex sec_A.1.4
Annex sec_A.1.5
Annex sec_A.1.6
Table tab_A.1 <\/td>\n<\/tr>\n\n 26<\/td>\n Annex sec_A.1.7
Annex sec_A.1.7.1
Annex sec_A.1.7.2
Table tab_A.2 <\/td>\n<\/tr>\n\n 27<\/td>\n Figure fig_A.2
Annex sec_A.1.7.3
Annex sec_A.2 <\/td>\n<\/tr>\n\n 28<\/td>\n Annex sec_A.2.1
Table tab_c
Figure fig_A.3
Annex sec_A.2.2
Annex sec_A.2.3 <\/td>\n<\/tr>\n\n 29<\/td>\n Table tab_d
Figure fig_A.4
Annex sec_A.2.4 <\/td>\n<\/tr>\n\n 30<\/td>\n Annex sec_A.2.5
Annex sec_A.2.6
Annex sec_A.2.6.1
Table tab_A.3
Annex sec_A.2.7
Table tab_A.4 <\/td>\n<\/tr>\n\n 31<\/td>\n Annex sec_A.2.8
Annex sec_A.2.8.1
Table tab_A.5 <\/td>\n<\/tr>\n\n 32<\/td>\n Annex sec_A.2.8.2
Table tab_A.6 <\/td>\n<\/tr>\n\n 33<\/td>\n Table tab_A.7 <\/td>\n<\/tr>\n \n 34<\/td>\n Annex sec_A.2.9
Table tab_A.8
Annex sec_A.3
Annex sec_A.3.1 <\/td>\n<\/tr>\n\n 35<\/td>\n Table tab_e
Figure fig_A.5
Annex sec_A.3.2 <\/td>\n<\/tr>\n\n 36<\/td>\n Figure fig_A.6
Annex sec_A.3.3 <\/td>\n<\/tr>\n\n 37<\/td>\n Annex sec_A.3.4
Table tab_A.9 <\/td>\n<\/tr>\n\n 38<\/td>\n Annex sec_A.3.5
Table tab_A.10
Table tab_A.11 <\/td>\n<\/tr>\n\n 39<\/td>\n Annex sec_A.3.6 <\/td>\n<\/tr>\n \n 40<\/td>\n Annex sec_B
Annex sec_B.1
Table tab_B.1
Annex\u00a0B
\n(normative)<\/p>\nStatistical tests <\/td>\n<\/tr>\n
\n 41<\/td>\n Annex sec_B.2 <\/td>\n<\/tr>\n \n 42<\/td>\n Table tab_B.2
Table tab_B.3
Table tab_B.4 <\/td>\n<\/tr>\n\n 43<\/td>\n Annex sec_B.3
Annex sec_B.3.1 <\/td>\n<\/tr>\n\n 45<\/td>\n Reference ref_1
Reference ref_2
Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"Statistical methods in process management. Capability and performance – Machine performance of a multi-state production process<\/b><\/p>\n
\n\n
\n Published By<\/td>\n Publication Date<\/td>\n Number of Pages<\/td>\n<\/tr>\n \n BSI<\/b><\/a><\/td>\n 2014<\/td>\n 48<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":356193,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[97,2641],"product_tag":[],"class_list":{"0":"post-356185","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-03-120-30","7":"product_cat-bsi","9":"first","10":"instock","11":"sold-individually","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/356185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/356193"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=356185"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=356185"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=356185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}